Supporting openEHR Java desktop application developers.

PubMed

Kashfi, Hajar; Torgersson, Olof

2011-01-01

The openEHR community suggests that an appropriate approach for creating a graphical user interface for an openEHR-based application is to generate forms from the underlying archetypes and templates. However, current generation techniques are not mature enough to be able to produce high quality interfaces with good usability. Therefore, developing efficient ways to combine manually designed and developed interfaces to openEHR backends is an interesting alternative. In this study, a framework for binding a pre-designed graphical user interface to an openEHR-based backend is proposed. The proposed framework contributes to the set of options available for developers. In particular we believe that the approach of combining user interface components with an openEHR backend in the proposed way might be useful in situations where the quality of the user interface is essential and for creating small scale and experimental systems.

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

PubMed

Wu, Honghan; Toti, Giulia; Morley, Katherine I; Ibrahim, Zina M; Folarin, Amos; Jackson, Richard; Kartoglu, Ismail; Agrawal, Asha; Stringer, Clive; Gale, Darren; Gorrell, Genevieve; Roberts, Angus; Broadbent, Matthew; Stewart, Robert; Dobson, Richard J B

2018-05-01

Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs. SemEHR implements a generic information extraction (IE) and retrieval infrastructure by identifying contextualized mentions of a wide range of biomedical concepts within EHRs. Natural language processing annotations are further assembled at the patient level and extended with EHR-specific knowledge to generate a timeline for each patient. The semantic data are serviced via ontology-based search and analytics interfaces. SemEHR has been deployed at a number of UK hospitals, including the Clinical Record Interactive Search, an anonymized replica of the EHR of the UK South London and Maudsley National Health Service Foundation Trust, one of Europe's largest providers of mental health services. In 2 Clinical Record Interactive Search-based studies, SemEHR achieved 93% (hepatitis C) and 99% (HIV) F-measure results in identifying true positive patients. At King's College Hospital in London, as part of the CogStack program (github.com/cogstack), SemEHR is being used to recruit patients into the UK Department of Health 100 000 Genomes Project (genomicsengland.co.uk). The validation study suggests that the tool can validate previously recruited cases and is very fast at searching phenotypes; time for recruitment criteria checking was reduced from days to minutes. Validated on open intensive care EHR data, Medical Information Mart for Intensive Care III, the vital signs extracted by SemEHR can achieve around 97% accuracy. Results from the multiple case studies demonstrate SemEHR's efficiency: weeks or months of work can be done within hours or minutes in some cases. SemEHR provides a more comprehensive view of patients, bringing in more and unexpected insight compared to study-oriented bespoke IE systems. SemEHR is open source, available at https://github.com/CogStack/SemEHR.

An open, component-based information infrastructure for integrated health information networks.

PubMed

Tsiknakis, Manolis; Katehakis, Dimitrios G; Orphanoudakis, Stelios C

2002-12-18

A fundamental requirement for achieving continuity of care is the seamless sharing of multimedia clinical information. Different technological approaches can be adopted for enabling the communication and sharing of health record segments. In the context of the emerging global information society, the creation of and access to the integrated electronic health record (I-EHR) of a citizen has been assigned high priority in many countries. This requirement is complementary to an overall requirement for the creation of a health information infrastructure (HII) to support the provision of a variety of health telematics and e-health services. In developing a regional or national HII, the components or building blocks that make up the overall information system ought to be defined and an appropriate component architecture specified. This paper discusses current international priorities and trends in developing the HII. It presents technological challenges and alternative approaches towards the creation of an I-EHR, being the aggregation of health data created during all interactions of an individual with the healthcare system. It also presents results from an ongoing Research and Development (R&D) effort towards the implementation of the HII in HYGEIAnet, the regional health information network of Crete, Greece, using a component-based software engineering approach. Critical design decisions and related trade-offs, involved in the process of component specification and development, are also discussed and the current state of development of an I-EHR service is presented. Finally, Human Computer Interaction (HCI) and security issues, which are important for the deployment and use of any I-EHR service, are considered.

Electronic health record interoperability as realized in the Turkish health information system.

PubMed

Dogac, A; Yuksel, M; Avci, A; Ceyhan, B; Hülür, U; Eryilmaz, Z; Mollahaliloglu, S; Atbakan, E; Akdag, R

2011-01-01

The objective of this paper is to describe the techniques used in developing the National Health Information System of Turkey (NHIS-T), a nation-wide infrastructure for sharing electronic health records (EHRs). The UN/CEFACT Core Components Technical Specification (CCTS) methodology was applied to design the logical EHR structure and to increase the reuse of common information blocks in EHRs. The NHIS-T became operational on January 15, 2009. By June 2010, 99% of the public hospitals and 71% of the private and university hospitals were connected to NHIS-T with daily feeds of their patients' EHRs. Out of the 72 million citizens of Turkey, electronic healthcare records of 43 million citizens have already been created in NHIS-T. Currently, only the general practitioners can access the EHRs of their patients. In the second phase of the implementation and once the legal framework is completed, the proper patient consent mechanisms will be available through the personal health record system that is under development. At this time authorized healthcare professionals in secondary and tertiary healthcare systems can access the patients' EHRs. A number of factors affected the successful implementation of NHIS-T. First, all stakeholders have to adopt the specified standards. Second, the UN/CEFACT CCTS approach was applied which facilitated the development and understanding of rather complex EHR schemas. Finally, the comprehensive testing of vendor-based hospital information systems for their conformance to and interoperability with NHIS-T through an automated testing platform enhanced substantially the fast integration of vendor-based solutions with the NHIS-T.

Evaluating the usability of speech recognition to create clinical documentation using a commercial electronic health record.

PubMed

Hodgson, Tobias; Magrabi, Farah; Coiera, Enrico

2018-05-01

To conduct a usability study exploring the value of using speech recognition (SR) for clinical documentation tasks within an electronic health record (EHR) system. Thirty-five emergency department clinicians completed a system usability scale (SUS) questionnaire. The study was undertaken after participants undertook randomly allocated clinical documentation tasks using keyboard and mouse (KBM) or SR. SUS scores were analyzed and the results with KBM were compared to SR results. Significant difference in SUS scores between EHR system use with and without SR were observed (KBM 67, SR 61; P = 0.045; CI, 0.1 to 12.0). Nineteen of 35 participants scored higher for EHR with KBM, 11 higher for EHR with SR and 5 gave the same score for both. Factor analysis showed no significant difference in scores for the sub-element of usability (EHR with KBM 65, EHR with SR 62; P = 0.255; CI, -2.6 to 9.5). Scores for the sub-element of learnability were significantly different (KBM 72, SR 55; P < 0.001; CI, 9.8 to 23.5). A significant correlation was found between the perceived usability of the two system configurations (EHR with KBM or SR) and the efficiency of documentation (time to document) (P = 0.002; CI, 10.5 to -0.1) but not with safety (number of errors) (P = 0.90; CI, -2.3 to 2.6). SR was associated with significantly reduced overall usability scores, even though it is often positioned as ease of use technology. SR was perceived to impose larger costs in terms of learnability via training and support requirements for EHR based documentation when compared to using KBM. Lower usability scores were significantly associated with longer documentation times. The usability of EHR systems with any input modality is an area that requires continued development. The addition of an SR component to an EHR system may cause a significant reduction in terms of perceived usability by clinicians. Copyright © 2018 Elsevier B.V. All rights reserved.

Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies

PubMed Central

Sinaci, A. Anil; Laleci Erturkmen, Gokce B.; Gonul, Suat; Yuksel, Mustafa; Invernizzi, Paolo; Thakrar, Bharat; Pacaci, Anil; Cinar, H. Alper; Cicekli, Nihan Kesim

2015-01-01

Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of EHRs, access and analysis of patient data across different domains are a critical factor; we address this data interoperability problem between EHR systems and clinical research systems in this paper. We demonstrate that this problem can be solved in an upper level with the use of common data elements in a standardized fashion so that clinical researchers can work with different EHR systems independently of the underlying information model. Postmarketing Safety Study Tool lets the clinical researchers extract data from different EHR systems by designing data collection set schemas through common data elements. The tool interacts with a semantic metadata registry through IHE data element exchange profile. Postmarketing Safety Study Tool and its supporting components have been implemented and deployed on the central data warehouse of the Lombardy region, Italy, which contains anonymized records of about 16 million patients with over 10-year longitudinal data on average. Clinical researchers in Roche validate the tool with real life use cases. PMID:26543873

Linking guidelines to Electronic Health Record design for improved chronic disease management.

PubMed

Barretto, Sistine A; Warren, Jim; Goodchild, Andrew; Bird, Linda; Heard, Sam; Stumptner, Markus

2003-01-01

The promise of electronic decision support to promote evidence based practice remains elusive in the context of chronic disease management. We examine the problem of achieving a close relationship of Electronic Health Record (EHR) content to other components of a clinical information system (guidelines, decision support and workflow), particularly linking the decisions made by providers back to the guidelines. We use the openEHR architecture, which allows extension of a core Reference Model via Archetypes to refine the detailed information recording options for specific classes of encounter. We illustrate the use of openEHR for tracking the relationship of a series of clinical encounters to a guideline via a case study of guideline-compliant treatment of hypertension in diabetes. This case study shows the contribution guideline content can have on problem-specific EHR structure and demonstrates the potential for a constructive interaction of electronic decision support and the EHR.

Linking Guidelines to Electronic Health Record Design for Improved Chronic Disease Management

PubMed Central

Barretto, Sistine A.; Warren, Jim; Goodchild, Andrew; Bird, Linda; Heard, Sam; Stumptner, Markus

2003-01-01

The promise of electronic decision support to promote evidence based practice remains elusive in the context of chronic disease management. We examine the problem of achieving a close relationship of Electronic Health Record (EHR) content to other components of a clinical information system (guidelines, decision support and work-flow), particularly linking the decisions made by providers back to the guidelines. We use the openEHR architecture, which allows extension of a core Reference Model via Archetypes to refine the detailed information recording options for specific classes of encounter. We illustrate the use of openEHR for tracking the relationship of a series of clinical encounters to a guideline via a case study of guideline-compliant treatment of hypertension in diabetes. This case study shows the contribution guideline content can have on problem-specific EHR structure and demonstrates the potential for a constructive interaction of electronic decision support and the EHR. PMID:14728135

What do electronic health record vendors reveal about their products: an analysis of vendor websites.

PubMed

Yeung, Natalie K; Jadad, Alejandro R; Shachak, Aviv

2013-02-19

Purchasing electronic health records (EHRs) typically follows a process in which potential adopters actively seek information, compare alternatives, and form attitudes towards the product. A potential source of information on EHRs that can be used in the process is vendor websites. It is unclear how much product information is presented on EHR vendor websites or the extent of its value during EHR purchasing decisions. To explore what features of EHR systems are presented by vendors in Ontario, Canada, on their websites, and the persuasive means they use to market such systems; to compare the online information available about primary care EHR systems with that about hospital EHR systems, and with data compiled by OntarioMD, a regional certifying agency. A list of EHR systems available in Ontario was created. The contents of vendor websites were analyzed. A template for data collection and organization was developed and used to collect and organize information on the vendor, website content, and EHR features. First, we mapped information on system features to categories based on a framework from the Institute of Medicine (IOM). Second, we used a grounded theory-like approach to explore information for building consumer confidence in the vendor and product, and the various persuasive strategies employed on vendor websites. All data were first coded by one researcher. A peer reviewer independently analyzed a randomly chosen subset of the websites (10 of 21; 48%) and provided feedback towards a unified coding scheme. All data were then re-coded and categorized into themes. Finally, we compared information from vendor websites and data gathered by OntarioMD. Vendors provided little specific product information on their websites. Only two of five acute care EHR websites (40%) and nine of 16 websites for primary care systems (56%) featured seven or all eight of the IOM components. Several vendor websites included system interface demonstrations: screenshots (six websites), public videos or slideshows (four websites), or for registered viewers only (three websites). Persuasive means used by vendors included testimonials on 14/21 (67%) websites, and directional language. Except for one free system, trial EHR versions were not available. OntarioMD provided more comprehensive information about primary care systems than the vendors' websites. Of 14 points of comparison, only the inclusion of templates and bilingual interfaces were fully represented in both data sources. For all other categories, the vendor websites were less complete than the OntarioMD site. EHR vendor websites employ various persuasive means, but lack product-specific information and do not provide options for trying systems on a limited basis. This may impede the ability of potential adopters to form perceptions and compare various offerings. Both vendors and clients could benefit from greater transparency and more specific product information on the Web. N/A.

A thematic review and a policy-analysis agenda of Electronic Health Records in the Greek National Health System.

PubMed

Emmanouilidou, Maria; Burke, Maria

2013-01-01

The increasing pressure to improve healthcare outcomes and reduce costs is driving the current agenda of governments at worldwide level and calls for a fundamental reform of the status quo of health systems. This is especially the case with the Greek NHS (National Health System), a system in continuous crisis, and with the recent ongoing financial turbulence under intensive scrutiny. Technological innovations and Electronic Health Records (EHR) in particular, are recognised as key enablers in mitigating the existing burdens of healthcare. As a result, EHR is considered a core component in technology-driven reform processes. Nonetheless, the successful implementation and adoption of EHR proves to be a challenging task due to a mixture of technological, organisational and political issues. Drawing upon experiences within the European Union (EU) healthcare setting and the Greek NHS the paper proposes a conceptual framework as a policy-analysis agenda for EHR interventions in Greece. While the context of discussion is Greece, the paper aims to also derive useful insights to healthcare policy-makers around the globe. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Applications of Electronic Health Information in Public Health: Uses, Opportunities & Barriers

PubMed Central

Tomines, Alan; Readhead, Heather; Readhead, Adam; Teutsch, Steven

2013-01-01

Electronic health information systems can reshape the practice of public health including public health surveillance, disease and injury investigation and control, decision making, quality assurance, and policy development. While these opportunities are potentially transformative, and the federal program for the Meaningful Use (MU) of electronic health records (EHRs) has included important public health components, significant barriers remain. Unlike incentives in the clinical care system, scant funding is available to public health departments to develop the necessary information infrastructure and workforce capacity to capitalize on EHRs, personal health records, or Big Data. Current EHR systems are primarily built to serve clinical systems and practice rather than being structured for public health use. In addition, there are policy issues concerning how broadly the data can be used by public health officials. As these issues are resolved and workable solutions emerge, they should yield a more efficient and effective public health system. PMID:25848571

How to successfully select and implement electronic health records (EHR) in small ambulatory practice settings.

PubMed

Lorenzi, Nancy M; Kouroubali, Angelina; Detmer, Don E; Bloomrosen, Meryl

2009-02-23

Adoption of EHRs by U.S. ambulatory practices has been slow despite the perceived benefits of their use. Most evaluations of EHR implementations in the literature apply to large practice settings. While there are similarities relating to EHR implementation in large and small practice settings, the authors argue that scale is an important differentiator. Focusing on small ambulatory practices, this paper outlines the benefits and barriers to EHR use in this setting, and provides a "field guide" for these practices to facilitate successful EHR implementation. The benefits of EHRs in ambulatory practices include improved patient care and office efficiency, and potential financial benefits. Barriers to EHRs include costs; lack of standardization of EHR products and the design of vendor systems for large practice environments; resistance to change; initial difficulty of system use leading to productivity reduction; and perceived accrual of benefits to society and payers rather than providers. The authors stress the need for developing a flexible change management strategy when introducing EHRs that is relevant to the small practice environment; the strategy should acknowledge the importance of relationship management and the role of individual staff members in helping the entire staff to manage change. Practice staff must create an actionable vision outlining realistic goals for the implementation, and all staff must buy into the project. The authors detail the process of implementing EHRs through several stages: decision, selection, pre-implementation, implementation, and post-implementation. They stress the importance of identifying a champion to serve as an advocate of the value of EHRs and provide direction and encouragement for the project. Other key activities include assessing and redesigning workflow; understanding financial issues; conducting training that is well-timed and meets the needs of practice staff; and evaluating the implementation process. The EHR implementation experience depends on a variety of factors including the technology, training, leadership, the change management process, and the individual character of each ambulatory practice environment. Sound processes must support both technical and personnel-related organizational components. Additional research is needed to further refine recommendations for the small physician practice and the nuances of specific medical specialties.

What Do Electronic Health Record Vendors Reveal About Their Products: An Analysis of Vendor Websites

PubMed Central

Yeung, Natalie K; Jadad, Alejandro R

2013-01-01

Background Purchasing electronic health records (EHRs) typically follows a process in which potential adopters actively seek information, compare alternatives, and form attitudes towards the product. A potential source of information on EHRs that can be used in the process is vendor websites. It is unclear how much product information is presented on EHR vendor websites or the extent of its value during EHR purchasing decisions. Objective To explore what features of EHR systems are presented by vendors in Ontario, Canada, on their websites, and the persuasive means they use to market such systems; to compare the online information available about primary care EHR systems with that about hospital EHR systems, and with data compiled by OntarioMD, a regional certifying agency. Methods A list of EHR systems available in Ontario was created. The contents of vendor websites were analyzed. A template for data collection and organization was developed and used to collect and organize information on the vendor, website content, and EHR features. First, we mapped information on system features to categories based on a framework from the Institute of Medicine (IOM). Second, we used a grounded theory–like approach to explore information for building consumer confidence in the vendor and product, and the various persuasive strategies employed on vendor websites. All data were first coded by one researcher. A peer reviewer independently analyzed a randomly chosen subset of the websites (10 of 21; 48%) and provided feedback towards a unified coding scheme. All data were then re-coded and categorized into themes. Finally, we compared information from vendor websites and data gathered by OntarioMD. Results Vendors provided little specific product information on their websites. Only two of five acute care EHR websites (40%) and nine of 16 websites for primary care systems (56%) featured seven or all eight of the IOM components. Several vendor websites included system interface demonstrations: screenshots (six websites), public videos or slideshows (four websites), or for registered viewers only (three websites). Persuasive means used by vendors included testimonials on 14/21 (67%) websites, and directional language. Except for one free system, trial EHR versions were not available. OntarioMD provided more comprehensive information about primary care systems than the vendors’ websites. Of 14 points of comparison, only the inclusion of templates and bilingual interfaces were fully represented in both data sources. For all other categories, the vendor websites were less complete than the OntarioMD site. Conclusions EHR vendor websites employ various persuasive means, but lack product-specific information and do not provide options for trying systems on a limited basis. This may impede the ability of potential adopters to form perceptions and compare various offerings. Both vendors and clients could benefit from greater transparency and more specific product information on the Web. Trial Registration N/A PMID:23422722

Seniors' views on the use of electronic health records.

PubMed

Morin, Diane; Tourigny, Andre; Pelletier, Daniel; Robichaud, Line; Mathieu, Luc; Vézina, Aline; Bonin, Lucie; Buteau, Martin

2005-01-01

In the Mauricie and Centre-du-Québec region of the province of Quebec, Canada, an integrated services network has been implemented for frail seniors. It combines three of the best practices in the field of integrated services, namely: single-entry point, case management and personalized care plan. A shared interdisciplinary electronic health record (EHR) system was set up in 1998. A consensus on the relevance of using EHRs is growing in Quebec, in Canada and around the world. However, technology has out-paced interest in the notions of confidentiality, informed consent and the impact perceived by the clientele. This study specifically examines how frail seniors perceive these issues related to an EHR. The conceptual framework is inspired by the DeLone and McLean model whose main attributes are: system quality, information quality, utilisation modes and the impact on organisations and individuals. This last attribute is the focus of this study, which is a descriptive with quantitative and qualitative component. Thirty seniors were surveyed. Positive information they provided falls under three headings: (i) being better informed; (ii) trust and consideration for professionals; and (iii) appreciation of innovation. The opinions of the seniors are generally favourable regarding the use of computers and the EHR in their presence. Improvements in EHR systems for seniors can be encouraged.

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system.

PubMed

Chen, Rong; Klein, Gunnar O; Sundvall, Erik; Karlsson, Daniel; Ahlfeldt, Hans

2009-07-01

Exchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format. The openEHR EHR Reference Model (RM) and Archetype Model (AM) specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bi-directional conversion between openEHR archetypes and COSMIC templates. Automated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats. The openEHR RM and AM are expressive enough to represent the existing clinical content models from the template based EHR system tested and legacy content models can automatically be converted to archetype format for sharing of knowledge. With some limitations, internationally available archetypes could be converted to the legacy EHR models. Archetype support can be added to legacy EHR systems in an incremental way allowing a migration path to interoperability based on standards.

An analysis of electronic health record-related patient safety concerns

PubMed Central

Meeks, Derek W; Smith, Michael W; Taylor, Lesley; Sittig, Dean F; Scott, Jean M; Singh, Hardeep

2014-01-01

Objective A recent Institute of Medicine report called for attention to safety issues related to electronic health records (EHRs). We analyzed EHR-related safety concerns reported within a large, integrated healthcare system. Methods The Informatics Patient Safety Office of the Veterans Health Administration (VA) maintains a non-punitive, voluntary reporting system to collect and investigate EHR-related safety concerns (ie, adverse events, potential events, and near misses). We analyzed completed investigations using an eight-dimension sociotechnical conceptual model that accounted for both technical and non-technical dimensions of safety. Using the framework analysis approach to qualitative data, we identified emergent and recurring safety concerns common to multiple reports. Results We extracted 100 consecutive, unique, closed investigations between August 2009 and May 2013 from 344 reported incidents. Seventy-four involved unsafe technology and 25 involved unsafe use of technology. A majority (70%) involved two or more model dimensions. Most often, non-technical dimensions such as workflow, policies, and personnel interacted in a complex fashion with technical dimensions such as software/hardware, content, and user interface to produce safety concerns. Most (94%) safety concerns related to either unmet data-display needs in the EHR (ie, displayed information available to the end user failed to reduce uncertainty or led to increased potential for patient harm), software upgrades or modifications, data transmission between components of the EHR, or ‘hidden dependencies’ within the EHR. Discussion EHR-related safety concerns involving both unsafe technology and unsafe use of technology persist long after ‘go-live’ and despite the sophisticated EHR infrastructure represented in our data source. Currently, few healthcare institutions have reporting and analysis capabilities similar to the VA. Conclusions Because EHR-related safety concerns have complex sociotechnical origins, institutions with long-standing as well as recent EHR implementations should build a robust infrastructure to monitor and learn from them. PMID:24951796

Safety Assurance Factors for Electronic Health Record Resilience (SAFER): study protocol

PubMed Central

2013-01-01

Background Implementation and use of electronic health records (EHRs) could lead to potential improvements in quality of care. However, the use of EHRs also introduces unique and often unexpected patient safety risks. Proactive assessment of risks and vulnerabilities can help address potential EHR-related safety hazards before harm occurs; however, current risk assessment methods are underdeveloped. The overall objective of this project is to develop and validate proactive assessment tools to ensure that EHR-enabled clinical work systems are safe and effective. Methods/Design This work is conceptually grounded in an 8-dimension model of safe and effective health information technology use. Our first aim is to develop self-assessment guides that can be used by health care institutions to evaluate certain high-risk components of their EHR-enabled clinical work systems. We will solicit input from subject matter experts and relevant stakeholders to develop guides focused on 9 specific risk areas and will subsequently pilot test the guides with individuals representative of likely users. The second aim will be to examine the utility of the self-assessment guides by beta testing the guides at selected facilities and conducting on-site evaluations. Our multidisciplinary team will use a variety of methods to assess the content validity and perceived usefulness of the guides, including interviews, naturalistic observations, and document analysis. The anticipated output of this work will be a series of self-administered EHR safety assessment guides with clear, actionable, checklist-type items. Discussion Proactive assessment of patient safety risks increases the resiliency of health care organizations to unanticipated hazards of EHR use. The resulting products and lessons learned from the development of the assessment guides are expected to be helpful to organizations that are beginning the EHR selection and implementation process as well as those that have already implemented EHRs. Findings from our project, currently underway, will inform future efforts to validate and implement tools that can be used by health care organizations to improve the safety of EHR-enabled clinical work systems. PMID:23587208

Grid-based implementation of XDS-I as part of image-enabled EHR for regional healthcare in Shanghai.

PubMed

Zhang, Jianguo; Zhang, Kai; Yang, Yuanyuan; Sun, Jianyong; Ling, Tonghui; Wang, Guangrong; Ling, Yun; Peng, Derong

2011-03-01

Due to the rapid growth of Shanghai city to 20 million residents, the balance between healthcare supply and demand has become an important issue. The local government hopes to ameliorate this problem by developing an image-enabled electronic healthcare record (EHR) sharing mechanism between certain hospitals. This system is designed to enable healthcare collaboration and reduce healthcare costs by allowing review of prior examination data obtained at other hospitals. Here, we present a design method and implementation solution of image-enabled EHRs (i-EHRs) and describe the implementation of i-EHRs in four hospitals and one regional healthcare information center, as well as their preliminary operating results. We designed the i-EHRs with service-oriented architecture (SOA) and combined the grid-based image management and distribution capability, which are compliant with IHE XDS-I integration profile. There are seven major components and common services included in the i-EHRs. In order to achieve quick response for image retrieving in low-bandwidth network environments, we use a JPEG2000 interactive protocol and progressive display technique to transmit images from a Grid Agent as Imaging Source Actor to the PACS workstation as Imaging Consumer Actor. The first phase of pilot testing of our image-enabled EHR was implemented in the Zhabei district of Shanghai for imaging document sharing and collaborative diagnostic purposes. The pilot testing began in October 2009; there have been more than 50 examinations daily transferred between the City North Hospital and the three community hospitals for collaborative diagnosis. The feedback from users at all hospitals is very positive, with respondents stating the system to be easy to use and reporting no interference with their normal radiology diagnostic operation. The i-EHR system can provide event-driven automatic image delivery for collaborative imaging diagnosis across multiple hospitals based on work flow requirements. This project demonstrated that the grid-based implementation of IHE XDS-I for image-enabled EHR could scale effectively to serve a regional healthcare solution with collaborative imaging services. The feedback from users of community hospitals and large hospital is very positive.

PACS and electronic health records

NASA Astrophysics Data System (ADS)

Cohen, Simona; Gilboa, Flora; Shani, Uri

2002-05-01

Electronic Health Record (EHR) is a major component of the health informatics domain. An important part of the EHR is the medical images obtained over a patient's lifetime and stored in diverse PACS. The vision presented in this paper is that future medical information systems will convert data from various medical sources -- including diverse modalities, PACS, HIS, CIS, RIS, and proprietary systems -- to HL7 standard XML documents. Then, the various documents are indexed and compiled to EHRs, upon which complex queries can be posed. We describe the conversion of data retrieved from PACS systems through DICOM to HL7 standard XML documents. This enables the EHR system to answer queries such as 'Get all chest images of patients at the age of 20-30, that have blood type 'A' and are allergic to pine trees', which a single PACS cannot answer. The integration of data from multiple sources makes our approach capable of delivering such answers. It enables the correlation of medical, demographic, clinical, and even genetic information. In addition, by fully indexing all the tagged data in DICOM objects, it becomes possible to offer access to huge amounts of valuable data, which can be better exploited in the specific radiology domain.

Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis

PubMed Central

Matta, George Y; Bohsali, Fuad B; Chisolm, Margaret S

2018-01-01

Background Clinicians’ use of electronic health record (EHR) systems while multitasking may increase the risk of making errors, but silent EHR system use may lower patient satisfaction. Delaying EHR system use until after patient visits may increase clinicians’ EHR workload, stress, and burnout. Objective We aimed to describe the perspectives of clinicians, educators, administrators, and researchers about misses and near misses that they felt were related to clinician multitasking while using EHR systems. Methods This observational study was a thematic analysis of perspectives elicited from 63 continuing medical education (CME) participants during 2 workshops and 1 interactive lecture about challenges and strategies for relationship-centered communication during clinician EHR system use. The workshop elicited reflection about memorable times when multitasking EHR use was associated with “misses” (errors that were not caught at the time) or “near misses” (mistakes that were caught before leading to errors). We conducted qualitative analysis using an editing analysis style to identify codes and then select representative themes and quotes. Results All workshop participants shared stories of misses or near misses in EHR system ordering and documentation or patient-clinician communication, wondering about “misses we don’t even know about.” Risk factors included the computer’s position, EHR system usability, note content and style, information overload, problematic workflows, systems issues, and provider and patient communication behaviors and expectations. Strategies to reduce multitasking EHR system misses included clinician transparency when needing silent EHR system use (eg, for prescribing), narrating EHR system use, patient activation during EHR system use, adapting visit organization and workflow, improving EHR system design, and improving team support and systems. Conclusions CME participants shared numerous stories of errors and near misses in EHR tasks and communication that they felt related to EHR multitasking. However, they brainstormed diverse strategies for using EHR systems safely while preserving patient relationships. PMID:29410388

Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis.

PubMed

Ratanawongsa, Neda; Matta, George Y; Bohsali, Fuad B; Chisolm, Margaret S

2018-02-06

Clinicians' use of electronic health record (EHR) systems while multitasking may increase the risk of making errors, but silent EHR system use may lower patient satisfaction. Delaying EHR system use until after patient visits may increase clinicians' EHR workload, stress, and burnout. We aimed to describe the perspectives of clinicians, educators, administrators, and researchers about misses and near misses that they felt were related to clinician multitasking while using EHR systems. This observational study was a thematic analysis of perspectives elicited from 63 continuing medical education (CME) participants during 2 workshops and 1 interactive lecture about challenges and strategies for relationship-centered communication during clinician EHR system use. The workshop elicited reflection about memorable times when multitasking EHR use was associated with "misses" (errors that were not caught at the time) or "near misses" (mistakes that were caught before leading to errors). We conducted qualitative analysis using an editing analysis style to identify codes and then select representative themes and quotes. All workshop participants shared stories of misses or near misses in EHR system ordering and documentation or patient-clinician communication, wondering about "misses we don't even know about." Risk factors included the computer's position, EHR system usability, note content and style, information overload, problematic workflows, systems issues, and provider and patient communication behaviors and expectations. Strategies to reduce multitasking EHR system misses included clinician transparency when needing silent EHR system use (eg, for prescribing), narrating EHR system use, patient activation during EHR system use, adapting visit organization and workflow, improving EHR system design, and improving team support and systems. CME participants shared numerous stories of errors and near misses in EHR tasks and communication that they felt related to EHR multitasking. However, they brainstormed diverse strategies for using EHR systems safely while preserving patient relationships. ©Neda Ratanawongsa, George Y Matta, Fuad B Bohsali, Margaret S Chisolm. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 06.02.2018.

Archetype-based conversion of EHR content models: pilot experience with a regional EHR system

PubMed Central

2009-01-01

Background Exchange of Electronic Health Record (EHR) data between systems from different suppliers is a major challenge. EHR communication based on archetype methodology has been developed by openEHR and CEN/ISO. The experience of using archetypes in deployed EHR systems is quite limited today. Currently deployed EHR systems with large user bases have their own proprietary way of representing clinical content using various models. This study was designed to investigate the feasibility of representing EHR content models from a regional EHR system as openEHR archetypes and inversely to convert archetypes to the proprietary format. Methods The openEHR EHR Reference Model (RM) and Archetype Model (AM) specifications were used. The template model of the Cambio COSMIC, a regional EHR product from Sweden, was analyzed and compared to the openEHR RM and AM. This study was focused on the convertibility of the EHR semantic models. A semantic mapping between the openEHR RM/AM and the COSMIC template model was produced and used as the basis for developing prototype software that performs automated bi-directional conversion between openEHR archetypes and COSMIC templates. Results Automated bi-directional conversion between openEHR archetype format and COSMIC template format has been achieved. Several archetypes from the openEHR Clinical Knowledge Repository have been imported into COSMIC, preserving most of the structural and terminology related constraints. COSMIC templates from a large regional installation were successfully converted into the openEHR archetype format. The conversion from the COSMIC templates into archetype format preserves nearly all structural and semantic definitions of the original content models. A strategy of gradually adding archetype support to legacy EHR systems was formulated in order to allow sharing of clinical content models defined using different formats. Conclusion The openEHR RM and AM are expressive enough to represent the existing clinical content models from the template based EHR system tested and legacy content models can automatically be converted to archetype format for sharing of knowledge. With some limitations, internationally available archetypes could be converted to the legacy EHR models. Archetype support can be added to legacy EHR systems in an incremental way allowing a migration path to interoperability based on standards. PMID:19570196

Graphical overview and navigation of electronic health records in a prototyping environment using Google Earth and openEHR archetypes.

PubMed

Sundvall, Erik; Nyström, Mikael; Forss, Mattias; Chen, Rong; Petersson, Håkan; Ahlfeldt, Hans

2007-01-01

This paper describes selected earlier approaches to graphically relating events to each other and to time; some new combinations are also suggested. These are then combined into a unified prototyping environment for visualization and navigation of electronic health records. Google Earth (GE) is used for handling display and interaction of clinical information stored using openEHR data structures and 'archetypes'. The strength of the approach comes from GE's sophisticated handling of detail levels, from coarse overviews to fine-grained details that has been combined with linear, polar and region-based views of clinical events related to time. The system should be easy to learn since all the visualization styles can use the same navigation. The structured and multifaceted approach to handling time that is possible with archetyped openEHR data lends itself well to visualizing and integration with openEHR components is provided in the environment.

Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon

PubMed Central

Pollard, Tom; Johnson, Alistair Edward William; Cao, Desen; Kang, Hongjun; Liang, Hong; Zhang, Yuezhou; Liu, Xiaoli; Fan, Yong; Zhang, Yuan; Xue, Wanguo; Xie, Lixin; Celi, Leo Anthony

2017-01-01

Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or the resources needed to utilize EHRs as a resource. In addition, a climate of cross-disciplinary collaboration to gain insights from EHRs, a crucial component of a learning healthcare system, is not prevalent. To address these issues, members from the Massachusetts Institute of Technology (MIT) and the People’s Liberation Army General Hospital (PLAGH) organized the first clinical data conference and health datathon in China, which provided a platform for clinicians, statisticians, and data scientists to team up and address information gaps in the intensive care unit (ICU). PMID:29138126

Increasing EHR system usability through standards: Conformance criteria in the HL7 EHR-system functional model.

PubMed

Meehan, Rebecca A; Mon, Donald T; Kelly, Kandace M; Rocca, Mitra; Dickinson, Gary; Ritter, John; Johnson, Constance M

2016-10-01

Though substantial work has been done on the usability of health information technology, improvements in electronic health record system (EHR) usability have been slow, creating frustration, distrust of EHRs and the use of potentially unsafe work-arounds. Usability standards could be part of the solution for improving EHR usability. EHR system functional requirements and standards have been used successfully in the past to specify system behavior, the criteria of which have been gradually implemented in EHR systems through certification programs and other national health IT strategies. Similarly, functional requirements and standards for usability can help address the multitude of sequelae associated with poor usability. This paper describes the evidence-based functional requirements for usability contained in the Health Level Seven (HL7) EHR System Functional Model, and the benefits of open and voluntary EHR system usability standards. Copyright © 2016 Elsevier Inc. All rights reserved.

PropeR revisited.

PubMed

van der Linden, Helma; Talmon, Jan; Tange, Huibert; Grimson, Jane; Hasman, Arie

2005-03-01

The PropeR EHR system (PropeRWeb) is a multidisciplinary electronic health record (EHR) system for multidisciplinary use in extramural patient care for stroke patients. The system is built using existing open source components and is based on open standards. It is implemented as a web application using servlets and Java Server Pages (JSP's) with a CORBA connection to the database servers, which are based on the OMG HDTF specifications. PropeRWeb is a generic system which can be readily customized for use in a variety of clinical domains. The system proved to be stable and flexible, although some aspects (a.o. user friendliness) could be improved. These improvements are currently under development in a second version.

Specialty Task Force: A Strategic Component to Electronic Health Record (EHR) Optimization.

PubMed

Romero, Mary Rachel; Staub, Allison

2016-01-01

Post-implementation stage comes after an electronic health record (EHR) deployment. Analyst and end users deal with the reality that some of the concepts and designs initially planned and created may not be complementary to the workflow; creating anxiety, dissatisfaction, and failure with early adoption of system. Problems encountered during deployment are numerous and can vary from simple to complex. Redundant ticket submission creates backlog for Information Technology personnel resulting in delays in resolving concerns with EHR system. The process of optimization allows for evaluation of system and reassessment of users' needs. A solid and well executed optimization infrastructure can help minimize unexpected end-user disruptions and help tailor the system to meet regulatory agency goals and practice standards. A well device plan to resolve problems during post implementation is necessary for cost containment and to streamline communication efforts. Creating a specialty specific collaborative task force is efficacious and expedites resolution of users' concerns through a more structured process.

A Framework for Usability Evaluation in EHR Procurement.

PubMed

Tyllinen, Mari; Kaipio, Johanna; Lääveri, Tinja

2018-01-01

Usability should be considered already by the procuring organizations when selecting future systems. In this paper, we present a framework for usability evaluation during electronic health record (EHR) system procurement. We describe the objectives of the evaluation, the procedure, selected usability attributes and the evaluation methods to measure them. We also present the emphasis usability had in the selection process. We do not elaborate on the details of the results, the application of methods or gathering of data. Instead we focus on the components of the framework to inform and give an example to other similar procurement projects.

Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review

PubMed Central

Zolfo, Maria; Diro, Ermias

2017-01-01

Background Despite the great impact of information and communication technologies on clinical practice and on the quality of health services, this trend has been almost exclusive to developed countries, whereas countries with poor resources suffer from many economic and social issues that have hindered the real benefits of electronic health (eHealth) tools. As a component of eHealth systems, electronic health records (EHRs) play a fundamental role in patient management and effective medical care services. Thus, the adoption of EHRs in regions with a lack of infrastructure, untrained staff, and ill-equipped health care providers is an important task. However, the main barrier to adopting EHR software in low- and middle-income countries is the cost of its purchase and maintenance, which highlights the open-source approach as a good solution for these underserved areas. Objective The aim of this study was to conduct a systematic review of open-source EHR systems based on the requirements and limitations of low-resource settings. Methods First, we reviewed existing literature on the comparison of available open-source solutions. In close collaboration with the University of Gondar Hospital, Ethiopia, we identified common limitations in poor resource environments and also the main requirements that EHRs should support. Then, we extensively evaluated the current open-source EHR solutions, discussing their strengths and weaknesses, and their appropriateness to fulfill a predefined set of features relevant for low-resource settings. Results The evaluation methodology allowed assessment of several key aspects of available solutions that are as follows: (1) integrated applications, (2) configurable reports, (3) custom reports, (4) custom forms, (5) interoperability, (6) coding systems, (7) authentication methods, (8) patient portal, (9) access control model, (10) cryptographic features, (11) flexible data model, (12) offline support, (13) native client, (14) Web client,(15) other clients, (16) code-based language, (17) development activity, (18) modularity, (19) user interface, (20) community support, and (21) customization. The quality of each feature is discussed for each of the evaluated solutions and a final comparison is presented. Conclusions There is a clear demand for open-source, reliable, and flexible EHR systems in low-resource settings. In this study, we have evaluated and compared five open-source EHR systems following a multidimensional methodology that can provide informed recommendations to other implementers, developers, and health care professionals. We hope that the results of this comparison can guide decision making when needing to adopt, install, and maintain an open-source EHR solution in low-resource settings. PMID:29133283

Using electronic health records for clinical research: the case of the EHR4CR project.

PubMed

De Moor, Georges; Sundgren, Mats; Kalra, Dipak; Schmidt, Andreas; Dugas, Martin; Claerhout, Brecht; Karakoyun, Töresin; Ohmann, Christian; Lastic, Pierre-Yves; Ammour, Nadir; Kush, Rebecca; Dupont, Danielle; Cuggia, Marc; Daniel, Christel; Thienpont, Geert; Coorevits, Pascal

2015-02-01

To describe the IMI EHR4CR project which is designing and developing, and aims to demonstrate, a scalable, widely acceptable and efficient approach to interoperability between EHR systems and clinical research systems. The IMI EHR4CR project is combining and extending several previously isolated state-of-the-art technical components through a new approach to develop a platform for reusing EHR data to support medical research. This will be achieved through multiple but unified initiatives across different major disease areas (e.g. cardiovascular, cancer) and clinical research use cases (protocol feasibility, patient identification and recruitment, clinical trial execution and serious adverse event reporting), with various local and national stakeholders across several countries and therefore under various legal frameworks. An initial instance of the platform has been built, providing communication, security and terminology services to the eleven participating hospitals and ten pharmaceutical companies located in seven European countries. Proof-of-concept demonstrators have been built and evaluated for the protocol feasibility and patient recruitment scenarios. The specifications of the clinical trial execution and the adverse event reporting scenarios have been documented and reviewed. Through a combination of a consortium that brings collectively many years of experience from previous relevant EU projects and of the global conduct of clinical trials, of an approach to ethics that engages many important stakeholders across Europe to ensure acceptability, of a robust iterative design methodology for the platform services that is anchored on requirements of an underlying Service Oriented Architecture that has been designed to be scalable and adaptable, EHR4CR could be well placed to deliver a sound, useful and well accepted pan-European solution for the reuse of hospital EHR data to support clinical research studies. Copyright © 2014 Elsevier Inc. All rights reserved.

Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project.

PubMed

Rea, Susan; Pathak, Jyotishman; Savova, Guergana; Oniki, Thomas A; Westberg, Les; Beebe, Calvin E; Tao, Cui; Parker, Craig G; Haug, Peter J; Huff, Stanley M; Chute, Christopher G

2012-08-01

The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) will enable the use of the electronic health record (EHR) for secondary purposes, such as care process and outcomes improvement, biomedical research and epidemiologic monitoring of the nation's health. One of the primary informatics problem areas in this endeavor is the standardization of disparate health data from the nation's many health care organizations and providers. The SHARPn team is developing open source services and components to support the ubiquitous exchange, sharing and reuse or 'liquidity' of operational clinical data stored in electronic health records. One year into the design and development of the SHARPn framework, we demonstrated end to end data flow and a prototype SHARPn platform, using thousands of patient electronic records sourced from two large healthcare organizations: Mayo Clinic and Intermountain Healthcare. The platform was deployed to (1) receive source EHR data in several formats, (2) generate structured data from EHR narrative text, and (3) normalize the EHR data using common detailed clinical models and Consolidated Health Informatics standard terminologies, which were (4) accessed by a phenotyping service using normalized data specifications. The architecture of this prototype SHARPn platform is presented. The EHR data throughput demonstration showed success in normalizing native EHR data, both structured and narrative, from two independent organizations and EHR systems. Based on the demonstration, observed challenges for standardization of EHR data for interoperable secondary use are discussed. Copyright © 2012 Elsevier Inc. All rights reserved.

Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: The SHARPn project

PubMed Central

Rea, Susan; Pathak, Jyotishman; Savova, Guergana; Oniki, Thomas A.; Westberg, Les; Beebe, Calvin E.; Tao, Cui; Parker, Craig G.; Haug, Peter J.; Huff, Stanley M.; Chute, Christopher G.

2016-01-01

The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the Office of the National Coordinator for Health Information Technology in 2010 supports research findings that remove barriers for increased adoption of health IT. The improvements envisioned by the SHARP Area 4 Consortium (SHARPn) will enable the use of the electronic health record (EHR) for secondary purposes, such as care process and outcomes improvement, biomedical research and epidemiologic monitoring of the nation’s health. One of the primary informatics problem areas in this endeavor is the standardization of disparate health data from the nation’s many health care organizations and providers. The SHARPn team is developing open source services and components to support the ubiquitous exchange, sharing and reuse or ‘liquidity’ of operational clinical data stored in electronic health records. One year into the design and development of the SHARPn framework, we demonstrated end to end data flow and a prototype SHARPn platform, using thousands of patient electronic records sourced from two large healthcare organizations: Mayo Clinic and Intermountain Healthcare. The platform was deployed to (1) receive source EHR data in several formats, (2) generate structured data from EHR narrative text, and (3) normalize the EHR data using common detailed clinical models and Consolidated Health Informatics standard terminologies, which were (4) accessed by a phenotyping service using normalized data specifications. The architecture of this prototype SHARPn platform is presented. The EHR data throughput demonstration showed success in normalizing native EHR data, both structured and narrative, from two independent organizations and EHR systems. Based on the demonstration, observed challenges for standardization of EHR data for interoperable secondary use are discussed. PMID:22326800

Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics.

PubMed

McFadden, Norman; Daniel, Bryan; Hoyt, Robert; Snider, Dallas

2017-01-01

The United States has more than 1,000 free medical clinics. Because these clinics do not bill Medicare or Medicaid, they are not eligible for federal reimbursement for electronic health record (EHR) adoption. As a result, most do not have EHRs or electronic disease registries. A web-based diabetes registry was created with all open-source components for use in an urban free clinic to manage patients with type 2 diabetes and comorbidities. The registry was modeled after the Chronic Disease Electronic Management System and recommendations of the American Diabetes Association. The software was enhanced to include multiple other features, such as progress notes, so that it can function as a simple EHR. The configuration permits other free clinics to join securely, and the software can be shared.

Digitally enabled patients, professionals and providers: making the case for an electronic health record in mental health services.

PubMed

Richardson, Jonathan; McDonald, Joe

2016-10-01

The move to a digital health service may improve some components of health systems: information, communication and documentation of care. This article gives a brief definition and history of what is meant by an electronic health record (EHR). There is some evidence of benefits in a number of areas, including legibility, accuracy and the secondary use of information, but there is a need for further research, which may need to use different methodologies to analyse the impact an EHR has on patients, professionals and providers.

A reference architecture for integrated EHR in Colombia.

PubMed

de la Cruz, Edgar; Lopez, Diego M; Uribe, Gustavo; Gonzalez, Carolina; Blobel, Bernd

2011-01-01

The implementation of national EHR infrastructures has to start by a detailed definition of the overall structure and behavior of the EHR system (system architecture). Architectures have to be open, scalable, flexible, user accepted and user friendly, trustworthy, based on standards including terminologies and ontologies. The GCM provides an architectural framework created with the purpose of analyzing any kind of system, including EHR system´s architectures. The objective of this paper is to propose a reference architecture for the implementation of an integrated EHR in Colombia, based on the current state of system´s architectural models, and EHR standards. The proposed EHR architecture defines a set of services (elements) and their interfaces, to support the exchange of clinical documents, offering an open, scalable, flexible and semantically interoperable infrastructure. The architecture was tested in a pilot tele-consultation project in Colombia, where dental EHR are exchanged.

Structuring clinical workflows for diabetes care: an overview of the OntoHealth approach.

PubMed

Schweitzer, M; Lasierra, N; Oberbichler, S; Toma, I; Fensel, A; Hoerbst, A

2014-01-01

Electronic health records (EHRs) play an important role in the treatment of chronic diseases such as diabetes mellitus. Although the interoperability and selected functionality of EHRs are already addressed by a number of standards and best practices, such as IHE or HL7, the majority of these systems are still monolithic from a user-functionality perspective. The purpose of the OntoHealth project is to foster a functionally flexible, standards-based use of EHRs to support clinical routine task execution by means of workflow patterns and to shift the present EHR usage to a more comprehensive integration concerning complete clinical workflows. The goal of this paper is, first, to introduce the basic architecture of the proposed OntoHealth project and, second, to present selected functional needs and a functional categorization regarding workflow-based interactions with EHRs in the domain of diabetes. A systematic literature review regarding attributes of workflows in the domain of diabetes was conducted. Eligible references were gathered and analyzed using a qualitative content analysis. Subsequently, a functional workflow categorization was derived from diabetes-specific raw data together with existing general workflow patterns. This paper presents the design of the architecture as well as a categorization model which makes it possible to describe the components or building blocks within clinical workflows. The results of our study lead us to identify basic building blocks, named as actions, decisions, and data elements, which allow the composition of clinical workflows within five identified contexts. The categorization model allows for a description of the components or building blocks of clinical workflows from a functional view.

Structuring Clinical Workflows for Diabetes Care

PubMed Central

Lasierra, N.; Oberbichler, S.; Toma, I.; Fensel, A.; Hoerbst, A.

2014-01-01

Summary Background Electronic health records (EHRs) play an important role in the treatment of chronic diseases such as diabetes mellitus. Although the interoperability and selected functionality of EHRs are already addressed by a number of standards and best practices, such as IHE or HL7, the majority of these systems are still monolithic from a user-functionality perspective. The purpose of the OntoHealth project is to foster a functionally flexible, standards-based use of EHRs to support clinical routine task execution by means of workflow patterns and to shift the present EHR usage to a more comprehensive integration concerning complete clinical workflows. Objectives The goal of this paper is, first, to introduce the basic architecture of the proposed OntoHealth project and, second, to present selected functional needs and a functional categorization regarding workflow-based interactions with EHRs in the domain of diabetes. Methods A systematic literature review regarding attributes of workflows in the domain of diabetes was conducted. Eligible references were gathered and analyzed using a qualitative content analysis. Subsequently, a functional workflow categorization was derived from diabetes-specific raw data together with existing general workflow patterns. Results This paper presents the design of the architecture as well as a categorization model which makes it possible to describe the components or building blocks within clinical workflows. The results of our study lead us to identify basic building blocks, named as actions, decisions, and data elements, which allow the composition of clinical workflows within five identified contexts. Conclusions The categorization model allows for a description of the components or building blocks of clinical workflows from a functional view. PMID:25024765

Archetype Model-Driven Development Framework for EHR Web System.

PubMed

Kobayashi, Shinji; Kimura, Eizen; Ishihara, Ken

2013-12-01

This article describes the Web application framework for Electronic Health Records (EHRs) we have developed to reduce construction costs for EHR sytems. The openEHR project has developed clinical model driven architecture for future-proof interoperable EHR systems. This project provides the specifications to standardize clinical domain model implementations, upon which the ISO/CEN 13606 standards are based. The reference implementation has been formally described in Eiffel. Moreover C# and Java implementations have been developed as reference. While scripting languages had been more popular because of their higher efficiency and faster development in recent years, they had not been involved in the openEHR implementations. From 2007, we have used the Ruby language and Ruby on Rails (RoR) as an agile development platform to implement EHR systems, which is in conformity with the openEHR specifications. We implemented almost all of the specifications, the Archetype Definition Language parser, and RoR scaffold generator from archetype. Although some problems have emerged, most of them have been resolved. We have provided an agile EHR Web framework, which can build up Web systems from archetype models using RoR. The feasibility of the archetype model to provide semantic interoperability of EHRs has been demonstrated and we have verified that that it is suitable for the construction of EHR systems.

ResearchEHR: use of semantic web technologies and archetypes for the description of EHRs.

PubMed

Robles, Montserrat; Fernández-Breis, Jesualdo Tomás; Maldonado, Jose A; Moner, David; Martínez-Costa, Catalina; Bosca, Diego; Menárguez-Tortosa, Marcos

2010-01-01

In this paper, we present the ResearchEHR project. It focuses on the usability of Electronic Health Record (EHR) sources and EHR standards for building advanced clinical systems. The aim is to support healthcare professional, institutions and authorities by providing a set of generic methods and tools for the capture, standardization, integration, description and dissemination of health related information. ResearchEHR combines several tools to manage EHR at two different levels. The internal level that deals with the normalization and semantic upgrading of exiting EHR by using archetypes and the external level that uses Semantic Web technologies to specify clinical archetypes for advanced EHR architectures and systems.

Exploring the business case for ambulatory electronic health record system adoption.

PubMed

Song, Paula H; McAlearney, Ann Scheck; Robbins, Julie; McCullough, Jeffrey S

2011-01-01

Widespread implementation and use of electronic health record (EHR) systems has been recognized by healthcare leaders as a cornerstone strategy for systematically reducing medical errors and improving clinical quality. However, EHR adoption requires a significant capital investment for healthcare providers, and cost is often cited as a barrier. Despite the capital requirements, a true business case for EHR system adoption and implementation has not been made. This is of concern, as the lack of a business case can influence decision making about EHR investments. The purpose of this study was to examine the role of business case analysis in healthcare organizations' decisions to invest in ambulatory EHR systems, and to identify what factors organizations considered when justifying an ambulatory EHR. Using a qualitative case study approach, we explored how five organizations that are considered to have best practices in ambulatory EHR system implementation had evaluated the business case for EHR adoption. We found that although the rigor of formal business case analysis was highly variable, informants across these organizations consistently reported perceiving that a positive business case for EHR system adoption existed, especially when they considered both financial and non-financial benefits. While many consider EHR system adoption inevitable in healthcare, this viewpoint should not deter managers from conducting a business case analysis. Results of such an analysis can inform healthcare organizations' understanding about resource allocation needs, help clarify expectations about financial and clinical performance metrics to be monitored through EHR systems, and form the basis for ongoing organizational support to ensure successful system implementation.

Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review.

PubMed

Syzdykova, Assel; Malta, André; Zolfo, Maria; Diro, Ermias; Oliveira, José Luis

2017-11-13

Despite the great impact of information and communication technologies on clinical practice and on the quality of health services, this trend has been almost exclusive to developed countries, whereas countries with poor resources suffer from many economic and social issues that have hindered the real benefits of electronic health (eHealth) tools. As a component of eHealth systems, electronic health records (EHRs) play a fundamental role in patient management and effective medical care services. Thus, the adoption of EHRs in regions with a lack of infrastructure, untrained staff, and ill-equipped health care providers is an important task. However, the main barrier to adopting EHR software in low- and middle-income countries is the cost of its purchase and maintenance, which highlights the open-source approach as a good solution for these underserved areas. The aim of this study was to conduct a systematic review of open-source EHR systems based on the requirements and limitations of low-resource settings. First, we reviewed existing literature on the comparison of available open-source solutions. In close collaboration with the University of Gondar Hospital, Ethiopia, we identified common limitations in poor resource environments and also the main requirements that EHRs should support. Then, we extensively evaluated the current open-source EHR solutions, discussing their strengths and weaknesses, and their appropriateness to fulfill a predefined set of features relevant for low-resource settings. The evaluation methodology allowed assessment of several key aspects of available solutions that are as follows: (1) integrated applications, (2) configurable reports, (3) custom reports, (4) custom forms, (5) interoperability, (6) coding systems, (7) authentication methods, (8) patient portal, (9) access control model, (10) cryptographic features, (11) flexible data model, (12) offline support, (13) native client, (14) Web client,(15) other clients, (16) code-based language, (17) development activity, (18) modularity, (19) user interface, (20) community support, and (21) customization. The quality of each feature is discussed for each of the evaluated solutions and a final comparison is presented. There is a clear demand for open-source, reliable, and flexible EHR systems in low-resource settings. In this study, we have evaluated and compared five open-source EHR systems following a multidimensional methodology that can provide informed recommendations to other implementers, developers, and health care professionals. We hope that the results of this comparison can guide decision making when needing to adopt, install, and maintain an open-source EHR solution in low-resource settings. ©Assel Syzdykova, André Malta, Maria Zolfo, Ermias Diro, José Luis Oliveira. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 13.11.2017.

Writing and reading in the electronic health record: an entirely new world.

PubMed

Han, Heeyoung; Lopp, Lauri

2013-02-05

Electronic health records (EHRs) are structured, distributed documentation systems that differ from paper charts. These systems require skills not traditionally used to navigate a paper chart and to produce a written clinic note. Despite these differences, little attention has been given to physicians' electronic health record (EHR)-writing and -reading competence. This study aims to investigate physicians' self-assessed competence to document and to read EHR notes; writing and reading preferences in an EHR; and demographic characteristics associated with their perceived EHR ability and preference. Fourteen 5-point Likert scale items, based on EHR system characteristics and a literature review, were developed to measure EHR-writing and -reading competence and preference. Physicians in the midwest region of the United States were invited via e-mail to complete the survey online from February to April 2011. Factor analysis and reliability testing were conducted to provide validity and reliability of the instrument. Correlation and regression analysis were conducted to pursue answers to the research questions. Ninety-one physicians (12.5%), from general and specialty fields, working in inpatient and outpatient settings, participated in the survey. Despite over 3 years of EHR experience, respondents perceived themselves to be incompetent in EHR writing and reading (Mean = 2.74, SD = 0.76). They preferred to read succinct, narrative notes in EHR systems. However, physicians with higher perceived EHR-writing and -reading competence had less preference toward reading succinct (r= - 0.33, p<0.001) and narrative (r= - 0.36, p<0.001) EHR notes than physicians with lower perceived EHR competence. Physicians' perceived EHR-writing and -reading competence was strongly related to their EHR navigation skills (r=0.55, p<0.0001). Writing and reading EHR documentation is different for physicians. Maximizing navigation skills can optimize non-linear EHR writing and reading. Pedagogical questions remain related to how physicians and medical students are able to retrieve correct information effectively and to understand thought patterns in collectively lengthier and sometimes fragmented EHR chart notes.

A comparison of physician pre-adoption and adoption views on electronic health records in Canadian medical practices.

PubMed

Archer, Norm; Cocosila, Mihail

2011-08-12

There is a major campaign involving large expenditures of public money to increase the adoption rate of electronic health record (EHR) systems in Canada. To maximize the chances of success in this effort, physician views on EHRs must be addressed, since user perceptions are key to successful implementation of technology innovations. We propose a theoretical model comprising behavioral factors either favoring or against EHR adoption and use in Canadian medical practices, from the physicians' point of view. EHR perceptions of physicians already using EHR systems are compared with those not using one, through the lens of this model. We conducted an online cross-sectional survey in both English and French among medical practitioners across Canada. Data were collected both from physicians using EHRs and those not using EHRs, and analyzed with structural equation modeling (SEM) techniques. We collected 119 responses from EHR users and 100 from nonusers, resulting in 2 valid samples of 102 and 83 participants, respectively. The theoretical adoption model explained 55.8% of the variance in behavioral intention to continue using EHRs for physicians already using them, and 66.8% of the variance in nonuser intention to adopt such systems. Perception of ease of use was found to be the strongest motivator for EHR users (total effect .525), while perceptions of usefulness and of ease of use were the key determinants for nonusers (total effect .538 and .519, respectively) to adopt the system. Users see perceived overall risk associated with EHR adoption as a major obstacle (total effect -.371), while nonusers perceive risk only as a weak indirect demotivator. Of the 13 paths of the SEM model, 5 showed significant differences between the 2 samples (at the .05 level): general doubts about using the system (P = .02), the necessity for the system to be relevant for their job (P < .001), and the necessity for the system to be useful (P = .049) are more important for EHR nonusers than for users, while perceptions of overall obstacles to adoption (P = .03) and system ease of use (P = .042) count more for EHR users than for nonusers. Relatively few differences in perceptions about EHR system adoption and use exist between physicians already using such systems and those not yet using the systems. To maximize the chances of success for new EHR implementations from a behavioral point of view, general doubts about the rationale for such systems must be mitigated through improving design, stressing how EHRs are relevant to physician jobs, and providing substantiating evidence that EHRs are easier to use and more effective than nonusers might expect.

Interoperability of clinical decision-support systems and electronic health records using archetypes: a case study in clinical trial eligibility.

PubMed

Marcos, Mar; Maldonado, Jose A; Martínez-Salvador, Begoña; Boscá, Diego; Robles, Montserrat

2013-08-01

Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations, or decision-making tools to assist clinicians. Irrespective of the kind of decision-support task CDSSs should be smoothly integrated within the clinical information system, interacting with other components, in particular with the electronic health record (EHR). However, despite decades of developments, most CDSSs lack interoperability features. We deal with the interoperability problem of CDSSs and EHRs by exploiting the dual-model methodology. This methodology distinguishes a reference model and archetypes. A reference model is represented by a stable and small object-oriented model that describes the generic properties of health record information. For their part, archetypes are reusable and domain-specific definitions of clinical concepts in the form of structured and constrained combinations of the entities of the reference model. We rely on archetypes to make the CDSS compatible with EHRs from different institutions. Concretely, we use archetypes for modelling the clinical concepts that the CDSS requires, in conjunction with a series of knowledge-intensive mappings relating the archetypes to the data sources (EHR and/or other archetypes) they depend on. We introduce a comprehensive approach, including a set of tools as well as methodological guidelines, to deal with the interoperability of CDSSs and EHRs based on archetypes. Archetypes are used to build a conceptual layer of the kind of a virtual health record (VHR) over the EHR whose contents need to be integrated and used in the CDSS, associating them with structural and terminology-based semantics. Subsequently, the archetypes are mapped to the EHR by means of an expressive mapping language and specific-purpose tools. We also describe a case study where the tools and methodology have been employed in a CDSS to support patient recruitment in the framework of a clinical trial for colorectal cancer screening. The utilisation of archetypes not only has proved satisfactory to achieve interoperability between CDSSs and EHRs but also offers various advantages, in particular from a data model perspective. First, the VHR/data models we work with are of a high level of abstraction and can incorporate semantic descriptions. Second, archetypes can potentially deal with different EHR architectures, due to their deliberate independence of the reference model. Third, the archetype instances we obtain are valid instances of the underlying reference model, which would enable e.g. feeding back the EHR with data derived by abstraction mechanisms. Lastly, the medical and technical validity of archetype models would be assured, since in principle clinicians should be the main actors in their development. Copyright © 2013 Elsevier Inc. All rights reserved.

A Comprehensive Electronic Health Record Based Patient Navigation Module Including Technology Driven Colorectal Cancer Outreach and Education.

PubMed

Ajeesh, Sunny; Luis, Rustveld

2018-06-01

The purpose of this concept paper is to propose an innovative multifaceted patient navigation module embedded in the Electronic Health Record (EHR) to address barriers to efficient and effective colorectal cancer (CRC) care. The EHR-based CRC patient navigation module will include several patient navigation features: (1) CRC screening registry; (2) patient navigation data, including CRC screening data, outcomes of patient navigation including navigation status (CRC screening referrals, fecal occult blood test (FOBT) completed, colonoscopy scheduled and completed, cancelations, reschedules, and no-shows); (3) CRC counseling aid; and 4) Web-based CRC education application including interactive features such as a standardized colonoscopy preparation guide, modifiable CRC risk factors, and links to existing resources. An essential component of health informatics is the use of EHR systems to not only provide a system for storing and retrieval of patient health data but can also be used to enhance patient decision-making both from a provider and patient perspective.

How the provenance of electronic health record data matters for research: a case example using system mapping.

PubMed

Johnson, Karin E; Kamineni, Aruna; Fuller, Sharon; Olmstead, Danielle; Wernli, Karen J

2014-01-01

The use of electronic health records (EHRs) for research is proceeding rapidly, driven by computational power, analytical techniques, and policy. However, EHR-based research is limited by the complexity of EHR data and a lack of understanding about data provenance, meaning the context under which the data were collected. This paper presents system flow mapping as a method to help researchers more fully understand the provenance of their EHR data as it relates to local workflow. We provide two specific examples of how this method can improve data identification, documentation, and processing. EHRs store clinical and administrative data, often in unstructured fields. Each clinical system has a unique and dynamic workflow, as well as an EHR customized for local use. The EHR customization may be influenced by a broader context such as documentation required for billing. We present a case study with two examples of using system flow mapping to characterize EHR data for a local colorectal cancer screening process. System flow mapping demonstrated that information entered into the EHR during clinical practice required interpretation and transformation before it could be accurately applied to research. We illustrate how system flow mapping shaped our knowledge of the quality and completeness of data in two examples: (1) determining colonoscopy indication as recorded in the EHR, and (2) discovering a specific EHR form that captured family history. Researchers who do not consider data provenance risk compiling data that are systematically incomplete or incorrect. For example, researchers who are not familiar with the clinical workflow under which data were entered might miss or misunderstand patient information or procedure and diagnostic codes. Data provenance is a fundamental characteristic of research data from EHRs. Given the diversity of EHR platforms and system workflows, researchers need tools for evaluating and reporting data availability, quality, and transformations. Our case study illustrates how system mapping can inform researchers about the provenance of their data as it pertains to local workflows.

Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics

PubMed Central

McFadden, Norman; Daniel, Bryan; Hoyt, Robert; Snider, Dallas

2017-01-01

The United States has more than 1,000 free medical clinics. Because these clinics do not bill Medicare or Medicaid, they are not eligible for federal reimbursement for electronic health record (EHR) adoption. As a result, most do not have EHRs or electronic disease registries. A web-based diabetes registry was created with all open-source components for use in an urban free clinic to manage patients with type 2 diabetes and comorbidities. The registry was modeled after the Chronic Disease Electronic Management System and recommendations of the American Diabetes Association. The software was enhanced to include multiple other features, such as progress notes, so that it can function as a simple EHR. The configuration permits other free clinics to join securely, and the software can be shared. PMID:28566990

Quality Requirements for Electronic Health Record Systems*. A Japanese-German Information Management Perspective.

PubMed

Winter, Alfred; Takabayashi, Katsuhiko; Jahn, Franziska; Kimura, Eizen; Engelbrecht, Rolf; Haux, Reinhold; Honda, Masayuki; Hübner, Ursula H; Inoue, Sozo; Kohl, Christian D; Matsumoto, Takehiro; Matsumura, Yasushi; Miyo, Kengo; Nakashima, Naoki; Prokosch, Hans-Ulrich; Staemmler, Martin

2017-08-07

For more than 30 years, there has been close cooperation between Japanese and German scientists with regard to information systems in health care. Collaboration has been formalized by an agreement between the respective scientific associations. Following this agreement, two joint workshops took place to explore the similarities and differences of electronic health record systems (EHRS) against the background of the two national healthcare systems that share many commonalities. To establish a framework and requirements for the quality of EHRS that may also serve as a basis for comparing different EHRS. Donabedian's three dimensions of quality of medical care were adapted to the outcome, process, and structural quality of EHRS and their management. These quality dimensions were proposed before the first workshop of EHRS experts and enriched during the discussions. The Quality Requirements Framework of EHRS (QRF-EHRS) was defined and complemented by requirements for high quality EHRS. The framework integrates three quality dimensions (outcome, process, and structural quality), three layers of information systems (processes and data, applications, and physical tools) and three dimensions of information management (strategic, tactical, and operational information management). Describing and comparing the quality of EHRS is in fact a multidimensional problem as given by the QRF-EHRS framework. This framework will be utilized to compare Japanese and German EHRS, notably those that were presented at the second workshop.

Archetype Model-Driven Development Framework for EHR Web System

PubMed Central

Kimura, Eizen; Ishihara, Ken

2013-01-01

Objectives This article describes the Web application framework for Electronic Health Records (EHRs) we have developed to reduce construction costs for EHR sytems. Methods The openEHR project has developed clinical model driven architecture for future-proof interoperable EHR systems. This project provides the specifications to standardize clinical domain model implementations, upon which the ISO/CEN 13606 standards are based. The reference implementation has been formally described in Eiffel. Moreover C# and Java implementations have been developed as reference. While scripting languages had been more popular because of their higher efficiency and faster development in recent years, they had not been involved in the openEHR implementations. From 2007, we have used the Ruby language and Ruby on Rails (RoR) as an agile development platform to implement EHR systems, which is in conformity with the openEHR specifications. Results We implemented almost all of the specifications, the Archetype Definition Language parser, and RoR scaffold generator from archetype. Although some problems have emerged, most of them have been resolved. Conclusions We have provided an agile EHR Web framework, which can build up Web systems from archetype models using RoR. The feasibility of the archetype model to provide semantic interoperability of EHRs has been demonstrated and we have verified that that it is suitable for the construction of EHR systems. PMID:24523991

Electronic Health Record for Intensive Care based on Usual Windows Based Software.

PubMed

Reper, Arnaud; Reper, Pascal

2015-08-01

In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed an EHR based on usual software and components. The software was designed as a client-server architecture running on the Windows operating system and powered by the access data base system. The client software was developed using Visual Basic interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes. Since his deployment in September 2004, the EHR was used to care more than five thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of basic functionalities communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface. The developed system based on usual software components was able to respond to the medical needs of the local ICU environment. The use of Windows for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.

Provider and patient satisfaction with the integration of ambulatory and hospital EHR systems.

PubMed

Meyerhoefer, Chad D; Sherer, Susan A; Deily, Mary E; Chou, Shin-Yi; Guo, Xiaohui; Chen, Jie; Sheinberg, Michael; Levick, Donald

2018-05-16

The installation of EHR systems can disrupt operations at clinical practice sites, but also lead to improvements in information availability. We examined how the installation of an ambulatory EHR at OB/GYN practices and its subsequent interface with an inpatient perinatal EHR affected providers' satisfaction with the transmission of clinical information and patients' ratings of their care experience. We collected data on provider satisfaction through 4 survey rounds during the phased implementation of the EHR. Data on patient satisfaction were drawn from Press Ganey surveys issued by the healthcare network through a standard process. Using multivariable models, we determined how provider satisfaction with information transmission and patient satisfaction with their care experience changed as the EHR system allowed greater information flow between OB/GYN practices and the hospital. Outpatient OB/GYN providers became more satisfied with their access to information from the inpatient perinatal triage unit once system capabilities included automatic data flow from triage back to the OB/GYN offices. Yet physicians were generally less satisfied with how the EHR affected their work processes than other clinical and non-clinical staff. Patient satisfaction dropped after initial EHR installation, and we find no evidence of increased satisfaction linked to system integration. Dissatisfaction of providers with an EHR system and difficulties incorporating EHR technology into patient care may negatively impact patient satisfaction. Care must be taken during EHR implementations to maintain good communication with patients while satisfying documentation requirements.

Implementation of Electronic Health Records and Entrepreneurial Strategic Orientation in Substance Use Disorder Treatment Organizations.

PubMed

Fields, Dail; Riesenmy, Kelly; Blum, Terry C; Roman, Paul M

2015-11-01

This research studied the relationships of the components of entrepreneurial strategic orientation (ESO) with implementation of electronic health records (EHRs) within organizations that treat patients with substance use disorders (SUDs). A national sample of 317 SUD treatment providers were studied in a period after the Health Information Technology for Economic and Clinical Health (HITECH) Act was enacted (2009) and meaningful use EHR requirements were established (2010), but before implementation of the Affordable Care Act. The study sample was selected using stratified random sampling and was part of a longitudinal study of treatment providers across the United States. After we controlled for potentially confounding variables, four components of ESO had a significant relationship with EHR implementation. Levels of slack resources in an organization moderated the relationship of ESO with meaningful use of EHRs, increasing the strength of the relationship for some components but reducing the strength of others. From a policy and practice perspective, the results suggest that training and education to develop higher levels of ESO within SUD treatment organizations are likely to increase their level of meaningful use of EHRs, which in turn may enhance the integration of SUD treatment with primary medical providers, better preparing SUD treatment providers for the environmental changes of the Affordable Care Act.

Implementation of Electronic Health Records and Entrepreneurial Strategic Orientation in Substance Use Disorder Treatment Organizations

PubMed Central

Fields, Dail; Riesenmy, Kelly; Blum, Terry C.; Roman, Paul M.

2015-01-01

Objective: This research studied the relationships of the components of entrepreneurial strategic orientation (ESO) with implementation of electronic health records (EHRs) within organizations that treat patients with substance use disorders (SUDs). Method: A national sample of 317 SUD treatment providers were studied in a period after the Health Information Technology for Economic and Clinical Health (HITECH) Act was enacted (2009) and meaningful use EHR requirements were established (2010), but before implementation of the Affordable Care Act. The study sample was selected using stratified random sampling and was part of a longitudinal study of treatment providers across the United States. Results: After we controlled for potentially confounding variables, four components of ESO had a significant relationship with EHR implementation. Levels of slack resources in an organization moderated the relationship of ESO with meaningful use of EHRs, increasing the strength of the relationship for some components but reducing the strength of others. Conclusions: From a policy and practice perspective, the results suggest that training and education to develop higher levels of ESO within SUD treatment organizations are likely to increase their level of meaningful use of EHRs, which in turn may enhance the integration of SUD treatment with primary medical providers, better preparing SUD treatment providers for the environmental changes of the Affordable Care Act. PMID:26562603

Using ISO 25040 standard for evaluating electronic health record systems.

PubMed

Oliveira, Marília; Novaes, Magdala; Vasconcelos, Alexandre

2013-01-01

Quality of electronic health record systems (EHR-S) is one of the key points in the discussion about the safe use of this kind of system. It stimulates creation of technical standards and certifications in order to establish the minimum requirements expected for these systems. [1] In other side, EHR-S suppliers need to invest in evaluation of their products to provide systems according to these requirements. This work presents a proposal of use ISO 25040 standard, which focuses on the evaluation of software products, for define a model of evaluation of EHR-S in relation to Brazilian Certification for Electronic Health Record Systems - SBIS-CFM Certification. Proposal instantiates the process described in ISO 25040 standard using the set of requirements that is scope of the Brazilian certification. As first results, this research has produced an evaluation model and a scale for classify an EHR-S about its compliance level in relation to certification. This work in progress is part for the acquisition of the degree of master in Computer Science at the Federal University of Pernambuco.

EHR in emergency rooms: exploring the effect of key information components on main complaints.

PubMed

Ben-Assuli, Ofir; Shabtai, Itamar; Leshno, Moshe; Hill, Shawndra

2014-04-01

This study characterizes the information components associated with improved medical decision-making in the emergency room (ER). We looked at doctors' decisions to use or not to use information available to them on an electronic health record (EHR) and a Health Information Exchange (HIE) network, and tested for associations between their decision and parameters related to healthcare outcomes and processes. Using information components from the EHR and HIE was significantly related to improved quality of healthcare processes. Specifically, it was associated with both a reduction in potentially avoidable admissions as well as a reduction in rapid readmissions. Overall, the three information components; namely, previous encounters, imaging, and lab results emerged as having the strongest relationship with physicians' decisions to admit or discharge. Certain information components, however, presented an association between the diagnosis and the admission decisions (blood pressure was the most strongly associated parameter in cases of chest pain complaints and a previous surgical record for abdominal pain). These findings show that the ability to access patients' medical history and their long term health conditions (via the EHR), including information about medications, diagnoses, recent procedures and laboratory tests is critical to forming an appropriate plan of care and eventually making more accurate admission decisions.

Risk assessment of integrated electronic health records.

PubMed

Bjornsson, Bjarni Thor; Sigurdardottir, Gudlaug; Stefansson, Stefan Orri

2010-01-01

The paper describes the security concerns related to Electronic Health Records (EHR) both in registration of data and integration of systems. A description of the current state of EHR systems in Iceland is provided, along with the Ministry of Health's future vision and plans. New legislation provides the opportunity for increased integration of EHRs and further collaboration between institutions. Integration of systems, along with greater availability and access to EHR data, requires increased security awareness since additional risks are introduced. The paper describes the core principles of information security as it applies to EHR systems and data. The concepts of confidentiality, integrity, availability, accountability and traceability are introduced and described. The paper discusses the legal requirements and importance of performing risk assessment for EHR data. Risk assessment methodology according to the ISO/IEC 27001 information security standard is described with examples on how it is applied to EHR systems.

Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience.

PubMed

Duftschmid, Georg; Chaloupka, Judith; Rinner, Christoph

2013-01-22

The dual model approach represents a promising solution for achieving semantically interoperable standardized electronic health record (EHR) exchange. Its acceptance, however, will depend on the effort required for integrating archetypes into legacy EHR systems. We propose a corresponding approach that: (a) automatically generates entry forms in legacy EHR systems from archetypes; and (b) allows the immediate export of EHR documents that are recorded via the generated forms and stored in the EHR systems' internal format as standardized and archetype-compliant EHR extracts. As a prerequisite for applying our approach, we define a set of basic requirements for the EHR systems. We tested our approach with an EHR system called ArchiMed and were able to successfully integrate 15 archetypes from a test set of 27. For 12 archetypes, the form generation failed owing to a particular type of complex structure (multiple repeating subnodes), which was prescribed by the archetypes but not supported by ArchiMed's data model. Our experiences show that archetypes should be customized based on the planned application scenario before their integration. This would allow problematic structures to be dissolved and irrelevant optional archetype nodes to be removed. For customization of archetypes, openEHR templates or specialized archetypes may be employed. Gaps in the data types or terminological features supported by an EHR system will often not preclude integration of the relevant archetypes. More work needs to be done on the usability of the generated forms.

Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon.

PubMed

Li, Peiyao; Xie, Chen; Pollard, Tom; Johnson, Alistair Edward William; Cao, Desen; Kang, Hongjun; Liang, Hong; Zhang, Yuezhou; Liu, Xiaoli; Fan, Yong; Zhang, Yuan; Xue, Wanguo; Xie, Lixin; Celi, Leo Anthony; Zhang, Zhengbo

2017-11-14

Electronic health records (EHRs) have been widely adopted among modern hospitals to collect and track clinical data. Secondary analysis of EHRs could complement the traditional randomized control trial (RCT) research model. However, most researchers in China lack either the technical expertise or the resources needed to utilize EHRs as a resource. In addition, a climate of cross-disciplinary collaboration to gain insights from EHRs, a crucial component of a learning healthcare system, is not prevalent. To address these issues, members from the Massachusetts Institute of Technology (MIT) and the People's Liberation Army General Hospital (PLAGH) organized the first clinical data conference and health datathon in China, which provided a platform for clinicians, statisticians, and data scientists to team up and address information gaps in the intensive care unit (ICU). ©Peiyao Li, Chen Xie, Tom Pollard, Alistair Edward William Johnson, Desen Cao, Hongjun Kang, Hong Liang, Yuezhou Zhang, Xiaoli Liu, Yong Fan, Yuan Zhang, Wanguo Xue, Lixin Xie, Leo Anthony Celi, Zhengbo Zhang. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 14.11.2017.

Consent-based access to core EHR information. Collaborative approaches in Norway.

PubMed

Heimly, Vigdis; Berntsen, Kirsti E

2009-01-01

Lack of access to updated drug information is a challenge for healthcare providers in Norway. Drug charts are updated in separate EHR systems but exchange of drug information between them is lacking. In order to provide ready access to updated medication information, a project for consent-based access to a core EHR has been established. End users have developed requirements for additions to the medication modules in the EHR systems in cooperation with vendors, researchers and standardization workers. The modules are then implemented by the vendors, tested in the usability lab, and finally tested by the national testing and approval service before implementation. An ethnographic study, with focus on future users and their interaction with other actors regarding medicines and medication, has included semi-/unstructured interviews with the involved organizational units. The core EHR uses the EHR kept by the patient's regular GP as the main source of information. A server-based solution has been chosen in order to keep the core EHR accessible outside the GP's regular work hours. The core EHR is being tested, and the EHR-vendors are implementing additions to their systems in order to facilitate communication with the core EHR. All major EHR-system vendors in Norway participate in the project. The core EHR provides a generic basis that may be used as a pilot for a national patient summary. Examples of a wider use of the core EHR can be: shared individual plans to support continuity of care, summary of the patient's contacts with health providers in different organizations, and core EHR information such as important diagnoses, allergies and contact information. Extensive electronic cooperation and communication requires that all partners adjust their documentation practices to fit with other actors' needs. The implementation effects on future work practices will be followed by researchers.

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.

PubMed

Spratt, Susan E; Pereira, Katherine; Granger, Bradi B; Batch, Bryan C; Phelan, Matthew; Pencina, Michael; Miranda, Marie Lynn; Boulware, Ebony; Lucas, Joseph E; Nelson, Charlotte L; Neely, Benjamin; Goldstein, Benjamin A; Barth, Pamela; Richesson, Rachel L; Riley, Isaretta L; Corsino, Leonor; McPeek Hinz, Eugenia R; Rusincovitch, Shelley; Green, Jennifer; Barton, Anna Beth; Kelley, Carly; Hyland, Kristen; Tang, Monica; Elliott, Amanda; Ruel, Ewa; Clark, Alexander; Mabrey, Melanie; Morrissey, Kay Lyn; Rao, Jyothi; Hong, Beatrice; Pierre-Louis, Marjorie; Kelly, Katherine; Jelesoff, Nicole

2017-04-01

We assessed the sensitivity and specificity of 8 electronic health record (EHR)-based phenotypes for diabetes mellitus against gold-standard American Diabetes Association (ADA) diagnostic criteria via chart review by clinical experts. We identified EHR-based diabetes phenotype definitions that were developed for various purposes by a variety of users, including academic medical centers, Medicare, the New York City Health Department, and pharmacy benefit managers. We applied these definitions to a sample of 173 503 patients with records in the Duke Health System Enterprise Data Warehouse and at least 1 visit over a 5-year period (2007-2011). Of these patients, 22 679 (13%) met the criteria of 1 or more of the selected diabetes phenotype definitions. A statistically balanced sample of these patients was selected for chart review by clinical experts to determine the presence or absence of type 2 diabetes in the sample. The sensitivity (62-94%) and specificity (95-99%) of EHR-based type 2 diabetes phenotypes (compared with the gold standard ADA criteria via chart review) varied depending on the component criteria and timing of observations and measurements. Researchers using EHR-based phenotype definitions should clearly specify the characteristics that comprise the definition, variations of ADA criteria, and how different phenotype definitions and components impact the patient populations retrieved and the intended application. Careful attention to phenotype definitions is critical if the promise of leveraging EHR data to improve individual and population health is to be fulfilled. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

A student-centred electronic health record system for clinical education.

PubMed

Elliott, Kristine; Judd, Terry; McColl, Geoff

2011-01-01

Electronic Health Record (EHR) systems are an increasingly important feature of the national healthcare system [1]. However, little research has investigated the impact this will have on medical students' learning. As part of an innovative technology platform for a new masters level program in medicine, we are developing a student-centred EHR system for clinical education. A prototype was trialed with medical students over several weeks during 2010. This paper reports on the findings of the trial, which had the overall aim of assisting our understanding of how trainee doctors might use an EHR system for learning and communication in a clinical setting. In primary care and hospital settings, EHR systems offer potential benefits to medical students' learning: Longitudinal tracking of clinical progress towards established learning objectives [2]; Capacity to search across a substantial body of records [3]; Integration with online medical databases [3]; Development of expertise in creating, accessing and managing high quality EHRs [4]. While concerns have been raised that EHR systems may alter the interaction between teachers and students [3], and may negatively influence physician-patient communication [6], there is general consensus that the EHR is changing the current practice environment and teaching practice needs to respond. Final year medical students on clinical placement at a large university teaching hospital were recruited for the trial. Following a four-week period of use, semi-structured interviews were conducted with 10 participants. Audio-recorded interviews were transcribed and data analysed for emerging themes. Study participants were also surveyed about the importance of EHR systems in general, their familiarity with them, and general perceptions of sharing patient records. Medical students in this pilot study identified a number of educational, practical and administrative advantages that the student-centred EHR system offered over their existing ad-hoc procedures for recording patient encounters. Findings from this preliminary study point to the need to introduce and instruct students' on the use of EHR systems from their earliest clinical encounters, and to closely integrate learning activities based on the EHR system with established learning objectives. Further research is required to evaluate the impact of student-centred EHR systems on learning outcomes.

Costs of health IT: beginning to understand the financial impact of a dental school EHR.

PubMed

Spallek, Heiko; Johnson, Lynn; Kerr, Joseph; Rankin, David

2014-11-01

Health Information Technology (Health IT) constitutes an integral component of the operations of most academic dental institutions nowadays. However, the expenses associated with the acquisition and the ongoing maintenance of these complex systems have often been buried among costs for other electronic infrastructure systems, distributed across various cost centers including unmeasured central campus support, covered centrally and therefore difficult to quantify, and spread over years, denying school administrators a clear understanding of the resources that have been dedicated to Health IT. The aim of this study was to understand the financial impact of Health IT at four similar U.S. dental schools: two schools using a purchased Electronic Health Record (EHR), and two schools that developed their own EHR. For these schools, the costs of creating ($2.5 million) and sustaining ($174,000) custom EHR software were significantly higher than acquiring ($500,000) and sustaining ($121,000) purchased software. These results are based on historical data and should not be regarded as a gold standard for what a complete Health IT suite should cost. The presented data are intended to inform school administrators about the myriad of costs associated with Health IT and give them a point of reference when comparing costs or making estimates for implementation projects.

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

PubMed Central

Druhl, Emily; Polepalli Ramesh, Balaji; Houston, Thomas K; Brandt, Cynthia A; Zulman, Donna M; Vimalananda, Varsha G; Malkani, Samir; Yu, Hong

2018-01-01

Background Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. Objective The aim of this study was to develop and evaluate the usability and content quality of NoteAid, a Web-based natural language processing system that links medical terms in EHR notes to lay definitions, that is, definitions easily understood by lay people. Methods NoteAid incorporates two core components: CoDeMed, a lexical resource of lay definitions for medical terms, and MedLink, a computational unit that links medical terms to lay definitions. We developed innovative computational methods, including an adapted distant supervision algorithm to prioritize medical terms important for EHR comprehension to facilitate the effort of building CoDeMed. Ten physician domain experts evaluated the user interface and content quality of NoteAid. The evaluation protocol included a cognitive walkthrough session and a postsession questionnaire. Physician feedback sessions were audio-recorded. We used standard content analysis methods to analyze qualitative data from these sessions. Results Physician feedback was mixed. Positive feedback on NoteAid included (1) Easy to use, (2) Good visual display, (3) Satisfactory system speed, and (4) Adequate lay definitions. Opportunities for improvement arising from evaluation sessions and feedback included (1) improving the display of definitions for partially matched terms, (2) including more medical terms in CoDeMed, (3) improving the handling of terms whose definitions vary depending on different contexts, and (4) standardizing the scope of definitions for medicines. On the basis of these results, we have improved NoteAid’s user interface and a number of definitions, and added 4502 more definitions in CoDeMed. Conclusions Physician evaluation yielded useful feedback for content validation and refinement of this innovative tool that has the potential to improve patient EHR comprehension and experience using patient portals. Future ongoing work will develop algorithms to handle ambiguous medical terms and test and evaluate NoteAid with patients. PMID:29358159

Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience

PubMed Central

2013-01-01

Background The dual model approach represents a promising solution for achieving semantically interoperable standardized electronic health record (EHR) exchange. Its acceptance, however, will depend on the effort required for integrating archetypes into legacy EHR systems. Methods We propose a corresponding approach that: (a) automatically generates entry forms in legacy EHR systems from archetypes; and (b) allows the immediate export of EHR documents that are recorded via the generated forms and stored in the EHR systems’ internal format as standardized and archetype-compliant EHR extracts. As a prerequisite for applying our approach, we define a set of basic requirements for the EHR systems. Results We tested our approach with an EHR system called ArchiMed and were able to successfully integrate 15 archetypes from a test set of 27. For 12 archetypes, the form generation failed owing to a particular type of complex structure (multiple repeating subnodes), which was prescribed by the archetypes but not supported by ArchiMed’s data model. Conclusions Our experiences show that archetypes should be customized based on the planned application scenario before their integration. This would allow problematic structures to be dissolved and irrelevant optional archetype nodes to be removed. For customization of archetypes, openEHR templates or specialized archetypes may be employed. Gaps in the data types or terminological features supported by an EHR system will often not preclude integration of the relevant archetypes. More work needs to be done on the usability of the generated forms. PMID:23339403

Electronic Health Records: Applying Diffusion of Innovation Theory to the Relationship between Multifactor Authentication and EHR Adoption

ERIC Educational Resources Information Center

Lockett, Daeron C.

2014-01-01

Electronic Health Record (EHR) systems are increasingly becoming accepted as future direction of medical record management systems. Programs such as the American Recovery and Reinvestment Act have provided incentives to hospitals that adopt EHR systems. In spite of these incentives, the perception of EHR adoption is that is has not achieved the…

A Decade of Experience in Creating and Maintaining Data Elements for Structured Clinical Documentation in EHRs

PubMed Central

Zhou, Li; Collins, Sarah; Morgan, Stephen J.; Zafar, Neelam; Gesner, Emily J.; Fehrenbach, Martin; Rocha, Roberto A.

2016-01-01

Structured clinical documentation is an important component of electronic health records (EHRs) and plays an important role in clinical care, administrative functions, and research activities. Clinical data elements serve as basic building blocks for composing the templates used for generating clinical documents (such as notes and forms). We present our experience in creating and maintaining data elements for three different EHRs (one home-grown and two commercial systems) across different clinical settings, using flowsheet data elements as examples in our case studies. We identified basic but important challenges (including naming convention, links to standard terminologies, and versioning and change management) and possible solutions to address them. We also discussed more complicated challenges regarding governance, documentation vs. structured data capture, pre-coordination vs. post-coordination, reference information models, as well as monitoring, communication and training. PMID:28269927

Rate of electronic health record adoption in South Korea: A nation-wide survey.

PubMed

Kim, Young-Gun; Jung, Kyoungwon; Park, Young-Taek; Shin, Dahye; Cho, Soo Yeon; Yoon, Dukyong; Park, Rae Woong

2017-05-01

The adoption rate of electronic health record (EHR) systems in South Korea has continuously increased. However, in contrast to the situation in the United States (US), where there has been a national effort to improve and standardize EHR interoperability, no consensus has been established in South Korea. The goal of this study was to determine the current status of EHR adoption in South Korean hospitals compared to that in the US. All general and tertiary teaching hospitals in South Korea were surveyed regarding their EHR status in 2015 with the same questionnaire as used previously. The survey form estimated the level of adoption of EHR systems according to 24 core functions in four categories (clinical documentation, result view, computerized provider order entry, and decision supports). The adoption level was classified into comprehensive and basic EHR systems according to their functionalities. EHRs and computerized physician order entry systems were used in 58.1% and 86.0% of South Korean hospitals, respectively. Decision support systems and problem list documentation were the functions most frequently missing from comprehensive and basic EHR systems. The main barriers cited to adoption of EHR systems were the cost of purchasing (48%) and the ongoing cost of maintenance (11%). The EHR adoption rate in Korean hospitals (37.2%) was higher than that in US hospitals in 2010 (15.1%), but this trend was reversed in 2015 (58.1% vs. 75.2%). The evidence suggests that these trends were influenced by the level of financial and political support provided to US hospitals after the HITECH Act was passed in 2009. The EHR adoption rate in Korea has increased, albeit more slowly than in the US. It is logical to suggest that increased funding and support tied to the HITECH Act in the US partly explains the difference in the adoption rates of EHRs in both countries. Copyright © 2017 Elsevier B.V. All rights reserved.

Implementing a Social Knowledge Networking (SKN) system to enable meaningful use of an EHR medication reconciliation system.

PubMed

Rangachari, Pavani

2018-01-01

Despite the regulatory impetus toward meaningful use of electronic health record (EHR) Medication Reconciliation (MedRec) to prevent medication errors during care transitions, hospital adherence has lagged for one chief reason: low physician engagement, stemming from lack of consensus about which physician is responsible for managing a patient's medication list. In October 2016, Augusta University received a 2-year grant from the Agency for Healthcare Research and Quality to implement a Social Knowledge Networking (SKN) system for enabling its health system (AU Health) to progress from "limited use" of EHR MedRec technology to "meaningful use." The hypothesis is that SKN would bring together a diverse group of practitioners, to facilitate tacit knowledge exchange on issues related to EHR MedRec, which in turn is expected to increase practitioners' engagement in addressing those issues and enable meaningful use of EHR. The specific aims are to examine: 1) user-engagement in the SKN system, and 2) associations between "SKN use" and "meaningful use" of EHR. The 2-year project uses an exploratory mixed-method design and consists of three phases: 1) development; 2) SKN implementation; and 3) analysis. Phase 1, completed in May 2017, sought to identify a comprehensive set of issues related to EHR MedRec from practitioners directly involved in the MedRec process. This process facilitated development of a "Reporting Tool" on issues related to EHR MedRec, which, along with an existing "SKN/Discussion Tool," was integrated into the EHR at AU Health. Phase 2 (launched in June 2017) involves implementing the EHR-integrated SKN system over a 52-week period in inpatient and outpatient medicine units. The prospective implementation design is expected to generate context-sensitive strategies for meaningful use and successful implementation of EHR MedRec and thereby make substantial contributions to the patient safety and risk management literature. From a health care policy perspective, if the hypothesis holds, federal vendors could be encouraged to incorporate SKN features into EHR systems.

Same organization, same electronic health records (EHRs) system, different use: exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting

PubMed Central

Leykum, Luci K; McDaniel, Reuben R

2011-01-01

Objective Despite efforts made by ambulatory care organizations to standardize the use of electronic health records (EHRs), practices often incorporate these systems into their work differently from each other. One potential factor contributing to these differences is within-practice communication patterns. The authors explore the linkage between within-practice communication patterns and practice-level EHR use patterns. Design Qualitative study of six practices operating within the same multi-specialty ambulatory care organization using the same EHR system. Semistructured interviews and direct observation were conducted with all physicians, nurses, medical assistants, practice managers, and non-clinical staff from each practice. Measurements An existing model of practice relationships was used to analyze communication patterns within the practices. Practice-level EHR use was defined and analyzed as the ways in which a practice uses an EHR as a collective or a group—including the degree of feature use, level of EHR-enabled communication, and frequency that EHR use changes in a practice. Interview and observation data were analyzed for themes. Based on these themes, within-practice communication patterns were categorized as fragmented or cohesive, and practice-level EHR use patterns were categorized as heterogeneous or homogeneous. Practices where EHR use was uniformly high across all users were further categorized as having standardized EHR use. Communication patterns and EHR use patterns were compared across the six practices. Results Within-practice communication patterns were associated with practice-level EHR use patterns. In practices where communication patterns were fragmented, EHR use was heterogeneous. In practices where communication patterns were cohesive, EHR use was homogeneous. Additional analysis revealed that practices that had achieved standardized EHR use (uniformly high EHR use across all users) exhibited high levels of mindfulness and respectful interaction, whereas practices that were furthest from achieving standardized EHR use exhibited low levels of mindfulness and respectful interaction. Conclusion Within-practice communication patterns provide a unique perspective for exploring the issue of standardization in EHR use. A major fallacy of setting homogeneous EHR use as the goal for practice-level EHR use is that practices with uniformly low EHR use could be considered successful. Achieving uniformly high EHR use across all users in a practice is more consistent with the goals of current EHR adoption and use efforts. It was found that some communication patterns among practice members may enable more standardized EHR use than others. Understanding the linkage between communication patterns and EHR use can inform understanding of the human element in EHR use and may provide key lessons for the implementation of EHRs and other health information technologies. PMID:21846780

Same organization, same electronic health records (EHRs) system, different use: exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting.

PubMed

Lanham, Holly Jordan; Leykum, Luci K; McDaniel, Reuben R

2012-01-01

Despite efforts made by ambulatory care organizations to standardize the use of electronic health records (EHRs), practices often incorporate these systems into their work differently from each other. One potential factor contributing to these differences is within-practice communication patterns. The authors explore the linkage between within-practice communication patterns and practice-level EHR use patterns. Qualitative study of six practices operating within the same multi-specialty ambulatory care organization using the same EHR system. Semistructured interviews and direct observation were conducted with all physicians, nurses, medical assistants, practice managers, and non-clinical staff from each practice. An existing model of practice relationships was used to analyze communication patterns within the practices. Practice-level EHR use was defined and analyzed as the ways in which a practice uses an EHR as a collective or a group-including the degree of feature use, level of EHR-enabled communication, and frequency that EHR use changes in a practice. Interview and observation data were analyzed for themes. Based on these themes, within-practice communication patterns were categorized as fragmented or cohesive, and practice-level EHR use patterns were categorized as heterogeneous or homogeneous. Practices where EHR use was uniformly high across all users were further categorized as having standardized EHR use. Communication patterns and EHR use patterns were compared across the six practices. Within-practice communication patterns were associated with practice-level EHR use patterns. In practices where communication patterns were fragmented, EHR use was heterogeneous. In practices where communication patterns were cohesive, EHR use was homogeneous. Additional analysis revealed that practices that had achieved standardized EHR use (uniformly high EHR use across all users) exhibited high levels of mindfulness and respectful interaction, whereas practices that were furthest from achieving standardized EHR use exhibited low levels of mindfulness and respectful interaction. Within-practice communication patterns provide a unique perspective for exploring the issue of standardization in EHR use. A major fallacy of setting homogeneous EHR use as the goal for practice-level EHR use is that practices with uniformly low EHR use could be considered successful. Achieving uniformly high EHR use across all users in a practice is more consistent with the goals of current EHR adoption and use efforts. It was found that some communication patterns among practice members may enable more standardized EHR use than others. Understanding the linkage between communication patterns and EHR use can inform understanding of the human element in EHR use and may provide key lessons for the implementation of EHRs and other health information technologies.

The State of Open Source Electronic Health Record Projects: A Software Anthropology Study

PubMed Central

2017-01-01

Background Electronic health records (EHR) are a key tool in managing and storing patients’ information. Currently, there are over 50 open source EHR systems available. Functionality and usability are important factors for determining the success of any system. These factors are often a direct reflection of the domain knowledge and developers’ motivations. However, few published studies have focused on the characteristics of free and open source software (F/OSS) EHR systems and none to date have discussed the motivation, knowledge background, and demographic characteristics of the developers involved in open source EHR projects. Objective This study analyzed the characteristics of prevailing F/OSS EHR systems and aimed to provide an understanding of the motivation, knowledge background, and characteristics of the developers. Methods This study identified F/OSS EHR projects on SourceForge and other websites from May to July 2014. Projects were classified and characterized by license type, downloads, programming languages, spoken languages, project age, development status, supporting materials, top downloads by country, and whether they were “certified” EHRs. Health care F/OSS developers were also surveyed using an online survey. Results At the time of the assessment, we uncovered 54 open source EHR projects, but only four of them had been successfully certified under the Office of the National Coordinator for Health Information Technology (ONC Health IT) Certification Program. In the majority of cases, the open source EHR software was downloaded by users in the United States (64.07%, 148,666/232,034), underscoring that there is a significant interest in EHR open source applications in the United States. A survey of EHR open source developers was conducted and a total of 103 developers responded to the online questionnaire. The majority of EHR F/OSS developers (65.3%, 66/101) are participating in F/OSS projects as part of a paid activity and only 25.7% (26/101) of EHR F/OSS developers are, or have been, health care providers in their careers. In addition, 45% (45/99) of developers do not work in the health care field. Conclusion The research presented in this study highlights some challenges that may be hindering the future of health care F/OSS. A minority of developers have been health care professionals, and only 55% (54/99) work in the health care field. This undoubtedly limits the ability of functional design of F/OSS EHR systems from being a competitive advantage over prevailing commercial EHR systems. Open source software seems to be a significant interest to many; however, given that only four F/OSS EHR systems are ONC-certified, this interest is unlikely to yield significant adoption of these systems in the United States. Although the Health Information Technology for Economic and Clinical Health (HITECH) act was responsible for a substantial infusion of capital into the EHR marketplace, the lack of a corporate entity in most F/OSS EHR projects translates to a marginal capacity to market the respective F/OSS system and to navigate certification. This likely has further disadvantaged F/OSS EHR adoption in the United States. PMID:28235750

Requirements for Workflow-Based EHR Systems - Results of a Qualitative Study.

PubMed

Schweitzer, Marco; Lasierra, Nelia; Hoerbst, Alexander

2016-01-01

Today's high quality healthcare delivery strongly relies on efficient electronic health records (EHR). These EHR systems or in general healthcare IT-systems are usually developed in a static manner according to a given workflow. Hence, they are not flexible enough to enable access to EHR data and to execute individual actions within a consultation. This paper reports on requirements pointed by experts in the domain of diabetes mellitus to design a system for supporting dynamic workflows to serve personalization within a medical activity. Requirements were collected by means of expert interviews. These interviews completed a conducted triangulation approach, aimed to gather requirements for workflow-based EHR interactions. The data from the interviews was analyzed through a qualitative approach resulting in a set of requirements enhancing EHR functionality from the user's perspective. Requirements were classified according to four different categorizations: (1) process-related requirements, (2) information needs, (3) required functions, (4) non-functional requirements. Workflow related requirements were identified which should be considered when developing and deploying EHR systems.

EHR Safety: The Way Forward to Safe and Effective Systems

PubMed Central

Walker, James M.; Carayon, Pascale; Leveson, Nancy; Paulus, Ronald A.; Tooker, John; Chin, Homer; Bothe, Albert; Stewart, Walter F.

2008-01-01

Diverse stakeholders—clinicians, researchers, business leaders, policy makers, and the public—have good reason to believe that the effective use of electronic health care records (EHRs) is essential to meaningful advances in health care quality and patient safety. However, several reports have documented the potential of EHRs to contribute to health care system flaws and patient harm. As organizations (including small hospitals and physician practices) with limited resources for care-process transformation, human-factors engineering, software safety, and project management begin to use EHRs, the chance of EHR-associated harm may increase. The authors propose a coordinated set of steps to advance the practice and theory of safe EHR design, implementation, and continuous improvement. These include setting EHR implementation in the context of health care process improvement, building safety into the specification and design of EHRs, safety testing and reporting, and rapid communication of EHR-related safety flaws and incidents. PMID:18308981

A secure EHR system based on hybrid clouds.

PubMed

Chen, Yu-Yi; Lu, Jun-Chao; Jan, Jinn-Ke

2012-10-01

Consequently, application services rendering remote medical services and electronic health record (EHR) have become a hot topic and stimulating increased interest in studying this subject in recent years. Information and communication technologies have been applied to the medical services and healthcare area for a number of years to resolve problems in medical management. Sharing EHR information can provide professional medical programs with consultancy, evaluation, and tracing services can certainly improve accessibility to the public receiving medical services or medical information at remote sites. With the widespread use of EHR, building a secure EHR sharing environment has attracted a lot of attention in both healthcare industry and academic community. Cloud computing paradigm is one of the popular healthIT infrastructures for facilitating EHR sharing and EHR integration. In this paper, we propose an EHR sharing and integration system in healthcare clouds and analyze the arising security and privacy issues in access and management of EHRs.

Making Electronic Health Records (EHRs) Work: Informal Talk and Workarounds in Healthcare Organizations.

PubMed

Barrett, Ashley K; Stephens, Keri K

2017-08-01

A key provision of the American Recovery and Reinvestment Act of 2009 mandated that electronic health records (EHR) be adopted in US healthcare organizations by 2015. The purpose of this study is to examine the communicative processes involved as healthcare workers implement an EHR and make changes, known as workarounds. Guided by theories in social influence, and diffusion of innovations, we conducted a survey of healthcare professionals using an EHR system in an organization. Our structural equation modeling (SEM) and multiple regression results reveal coworker communication, in the form of informal social support and feedback, play an important role in whether people engage in workarounds. Understanding this relationship is important because our study also demonstrates that workarounds predict healthcare employees' overall satisfaction with the EHR system. Specifically, workarounds are associated with higher perceptions of the EHR's relative advantage, higher perceptions of EHR implementation success, and lower levels of resistance to EHR change. This study offers a health communication contribution to the growing research on EHR systems and demonstrates the persuasive effects that coworkers have on new technology use in healthcare organizations.

Electronic health record usage behaviors in primary care medical practices: A survey of family physicians in Canada.

PubMed

Paré, Guy; Raymond, Louis; Guinea, Ana Ortiz de; Poba-Nzaou, Placide; Trudel, Marie-Claude; Marsan, Josianne; Micheneau, Thomas

2015-10-01

The importance and potential value of office-based electronic health record (EHR) systems is being recognized internationally. We thus sought to better understand how EHRs are actually being used by family physicians and what they perceive to be the main performance outcomes for themselves and their medical practices. We conducted a survey of family physicians practicing in medical practices in Quebec, Canada (n =331). Bivariate and multivariate statistical analyses were conducted to characterize EHR usage behaviors and assess the perceived performance outcomes of these systems. EHR systems "as-used" vary substantively from one family physician to another in terms of the capabilities that are actually mobilized by them. Significant differences between "basic" and "advanced" users were observed in terms of the EHR system's characteristics and perceived performance outcomes. Physicians were also clustered under three profiles that could be clearly distinguished from one another, in terms of the extent to which their performance and their practice's performance was impacted by their EHR usage. Physicians that are "highly impacted" by their EHR system are those who have the longest usage experience and make the most extended use of their system's capabilities. Our study indicates that only a minority of family physicians in our sample use most of the features available in their EHR system. Consequently, few physicians perceive gaining significant performance improvements from such systems. Future research must identify the factors that motivate primary care physicians to assimilate EHR systems in a more extensive manner. Copyright © 2015. Published by Elsevier Ireland Ltd.

Return on Investment in Electronic Health Records in Primary Care Practices: A Mixed-Methods Study

PubMed Central

Sanche, Steven

2014-01-01

Background The use of electronic health records (EHR) in clinical settings is considered pivotal to a patient-centered health care delivery system. However, uncertainty in cost recovery from EHR investments remains a significant concern in primary care practices. Objective Guided by the question of “When implemented in primary care practices, what will be the return on investment (ROI) from an EHR implementation?”, the objectives of this study are two-fold: (1) to assess ROI from EHR in primary care practices and (2) to identify principal factors affecting the realization of positive ROI from EHR. We used a break-even point, that is, the time required to achieve cost recovery from an EHR investment, as an ROI indicator of an EHR investment. Methods Given the complexity exhibited by most EHR implementation projects, this study adopted a retrospective mixed-method research approach, particularly a multiphase study design approach. For this study, data were collected from community-based primary care clinics using EHR systems. Results We collected data from 17 primary care clinics using EHR systems. Our data show that the sampled primary care clinics recovered their EHR investments within an average period of 10 months (95% CI 6.2-17.4 months), seeing more patients with an average increase of 27% in the active-patients-to-clinician-FTE (full time equivalent) ratio and an average increase of 10% in the active-patients-to-clinical-support-staff-FTE ratio after an EHR implementation. Our analysis suggests, with a 95% confidence level, that the increase in the number of active patients (P=.006), the increase in the active-patients-to-clinician-FTE ratio (P<.001), and the increase in the clinic net revenue (P<.001) are positively associated with the EHR implementation, likely contributing substantially to an average break-even point of 10 months. Conclusions We found that primary care clinics can realize a positive ROI with EHR. Our analysis of the variances in the time required to achieve cost recovery from EHR investments suggests that a positive ROI does not appear automatically upon implementing an EHR and that a clinic’s ability to leverage EHR for process changes seems to play a role. Policies that provide support to help primary care practices successfully make EHR-enabled changes, such as support of clinic workflow optimization with an EHR system, could facilitate the realization of positive ROI from EHR in primary care practices. PMID:25600508

Top ten challenges when interfacing a laboratory information system to an electronic health record: Experience at a large academic medical center.

PubMed

Petrides, Athena K; Tanasijevic, Milenko J; Goonan, Ellen M; Landman, Adam B; Kantartjis, Michalis; Bates, David W; Melanson, Stacy E F

2017-10-01

Recent U.S. government regulations incentivize implementation of an electronic health record (EHR) with computerized order entry and structured results display. Many institutions have also chosen to interface their EHR to their laboratory information system (LIS). Reported long-term benefits include increased efficiency and improved quality and safety. In order to successfully implement an interfaced EHR-LIS, institutions must plan years in advance and anticipate the impact of an integrated system. It can be challenging to fully understand the technical, workflow and resource aspects and adequately prepare for a potentially protracted system implementation and the subsequent stabilization. We describe the top ten challenges that we encountered in our clinical laboratories following the implementation of an interfaced EHR-LIS and offer suggestions on how to overcome these challenges. This study was performed at a 777-bed, tertiary care center which recently implemented an interfaced EHR-LIS. Challenges were recorded during EHR-LIS implementation and stabilization and the authors describe the top ten. Our top ten challenges were selection and harmonization of test codes, detailed training for providers on test ordering, communication with EHR provider champions during the build process, fluid orders and collections, supporting specialized workflows, sufficient reports and metrics, increased volume of inpatient venipunctures, adequate resources during stabilization, unanticipated changes to laboratory workflow and ordering specimens for anatomic pathology. A few suggestions to overcome these challenges include regular meetings with clinical champions, advanced considerations of reports and metrics that will be needed, adequate training of laboratory staff on new workflows in the EHR and defining all tests including anatomic pathology in the LIS. EHR-LIS implementations have many challenges requiring institutions to adapt and develop new infrastructures. This article should be helpful to other institutions facing or undergoing a similar endeavor. Copyright © 2017 Elsevier B.V. All rights reserved.

Assessing and comparing the usability of Chinese EHRs used in two Peking University hospitals to EHRs used in the US: A method of RUA.

PubMed

Xu, Lufei; Wen, Dong; Zhang, Xingting; Lei, Jianbo

2016-05-01

The objective of this study was to investigate the usability level of Chinese hospital Electronic Health Records (EHRs) by assessing the completion times of EHRs for seven "meaningful use (MU)" relevant tasks conducted at two Chinese tertiary hospitals and comparing the results to those of relevant research conducted in US EHRs. Using Rapid Usability Assessment (RUA) developed by the National Center for Cognitive Informatics and Decision Making (NCCD), the usability of EHRs from two Peking University hospitals was assessed using a three-step Keystroke Level Model (KLM) in a laboratory environment. (1) The total EHR task completion time for 7 MU relevant test tasks showed no significant differences between the two Chinese EHRs and their US counterparts, in which the time for thinking was relatively large and comprised 35.6% of the total time. The time for the electronic physician order was the largest. (2) For specific tasks, the mean completion times of the 2 hospital EHR systems spent on recording, modifying and searching (RMS) the medication orders were similar to those for the RMS radioactive tests; the mean time spent on the RMS laboratory test orders were much less. (3) There were 85 usability problems identified in the 2 hospital EHR systems. In Chinese EHRs, a substantial amount of time is required to complete tasks relevant to MU targets and many preventable usability problems can be discovered. The task completion time of the 2 Chinese EHR systems was a little shorter than in the 5 reported US EHR systems, while the differences in smoking status and CPOE tasks were obvious; one main reason for these differences was the use of structured data entry. The efficiency of Chinese and US EHRs was not significantly different. The key to improving the efficiency of both systems lies in expediting the Computerized physician order entry (CPOE) task. Many usability problems can be identified using heuristic assessments and improved by corresponding actions. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Generation of ELGA-compatible radiology reports from the Vienna Hospital Association's EHR system.

PubMed

Haider, Jasmin; Hölzl, Konrad; Toth, Herlinde; Duftschmid, Georg

2014-01-01

In the course of setting up the upcoming Austrian national shared EHR system ELGA, adaptors will have to be implemented for the local EHR systems of all participating healthcare providers. These adaptors must be able to transform EHR data from the internal format of the particular local EHR system to the specified format of the ELGA document types and vice versa. In the course of an ongoing diploma thesis we are currently developing a transformation application that shall allow the generation of ELGA-compatible radiology reports from the local EHR system of the Vienna Hospital Association. Up to now a first prototype has been developed that was tested with six radiology reports. It generates technically valid ELGA radiology reports apart from two errors yielded by the ELGA online validator that rather seem to be bugs of the validator. A medical validation of the reports remains to be done.

Enabling Cross-Platform Clinical Decision Support through Web-Based Decision Support in Commercial Electronic Health Record Systems: Proposal and Evaluation of Initial Prototype Implementations

PubMed Central

Zhang, Mingyuan; Velasco, Ferdinand T.; Musser, R. Clayton; Kawamoto, Kensaku

2013-01-01

Enabling clinical decision support (CDS) across multiple electronic health record (EHR) systems has been a desired but largely unattained aim of clinical informatics, especially in commercial EHR systems. A potential opportunity for enabling such scalable CDS is to leverage vendor-supported, Web-based CDS development platforms along with vendor-supported application programming interfaces (APIs). Here, we propose a potential staged approach for enabling such scalable CDS, starting with the use of custom EHR APIs and moving towards standardized EHR APIs to facilitate interoperability. We analyzed three commercial EHR systems for their capabilities to support the proposed approach, and we implemented prototypes in all three systems. Based on these analyses and prototype implementations, we conclude that the approach proposed is feasible, already supported by several major commercial EHR vendors, and potentially capable of enabling cross-platform CDS at scale. PMID:24551426

The State of Open Source Electronic Health Record Projects: A Software Anthropology Study.

PubMed

Alsaffar, Mona; Yellowlees, Peter; Odor, Alberto; Hogarth, Michael

2017-02-24

Electronic health records (EHR) are a key tool in managing and storing patients' information. Currently, there are over 50 open source EHR systems available. Functionality and usability are important factors for determining the success of any system. These factors are often a direct reflection of the domain knowledge and developers' motivations. However, few published studies have focused on the characteristics of free and open source software (F/OSS) EHR systems and none to date have discussed the motivation, knowledge background, and demographic characteristics of the developers involved in open source EHR projects. This study analyzed the characteristics of prevailing F/OSS EHR systems and aimed to provide an understanding of the motivation, knowledge background, and characteristics of the developers. This study identified F/OSS EHR projects on SourceForge and other websites from May to July 2014. Projects were classified and characterized by license type, downloads, programming languages, spoken languages, project age, development status, supporting materials, top downloads by country, and whether they were "certified" EHRs. Health care F/OSS developers were also surveyed using an online survey. At the time of the assessment, we uncovered 54 open source EHR projects, but only four of them had been successfully certified under the Office of the National Coordinator for Health Information Technology (ONC Health IT) Certification Program. In the majority of cases, the open source EHR software was downloaded by users in the United States (64.07%, 148,666/232,034), underscoring that there is a significant interest in EHR open source applications in the United States. A survey of EHR open source developers was conducted and a total of 103 developers responded to the online questionnaire. The majority of EHR F/OSS developers (65.3%, 66/101) are participating in F/OSS projects as part of a paid activity and only 25.7% (26/101) of EHR F/OSS developers are, or have been, health care providers in their careers. In addition, 45% (45/99) of developers do not work in the health care field. The research presented in this study highlights some challenges that may be hindering the future of health care F/OSS. A minority of developers have been health care professionals, and only 55% (54/99) work in the health care field. This undoubtedly limits the ability of functional design of F/OSS EHR systems from being a competitive advantage over prevailing commercial EHR systems. Open source software seems to be a significant interest to many; however, given that only four F/OSS EHR systems are ONC-certified, this interest is unlikely to yield significant adoption of these systems in the United States. Although the Health Information Technology for Economic and Clinical Health (HITECH) act was responsible for a substantial infusion of capital into the EHR marketplace, the lack of a corporate entity in most F/OSS EHR projects translates to a marginal capacity to market the respective F/OSS system and to navigate certification. This likely has further disadvantaged F/OSS EHR adoption in the United States. ©Mona Alsaffar, Peter Yellowlees, Alberto Odor, Michael Hogarth. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 24.02.2017.

Distributed clinical data sharing via dynamic access-control policy transformation.

PubMed

Rezaeibagha, Fatemeh; Mu, Yi

2016-05-01

Data sharing in electronic health record (EHR) systems is important for improving the quality of healthcare delivery. Data sharing, however, has raised some security and privacy concerns because healthcare data could be potentially accessible by a variety of users, which could lead to privacy exposure of patients. Without addressing this issue, large-scale adoption and sharing of EHR data are impractical. The traditional solution to the problem is via encryption. Although encryption can be applied to access control, it is not applicable for complex EHR systems that require multiple domains (e.g. public and private clouds) with various access requirements. This study was carried out to address the security and privacy issues of EHR data sharing with our novel access-control mechanism, which captures the scenario of the hybrid clouds and need of access-control policy transformation, to provide secure and privacy-preserving data sharing among different healthcare enterprises. We introduce an access-control mechanism with some cryptographic building blocks and present a novel approach for secure EHR data sharing and access-control policy transformation in EHR systems for hybrid clouds. We propose a useful data sharing system for healthcare providers to handle various EHR users who have various access privileges in different cloud environments. A systematic study has been conducted on data sharing in EHR systems to provide a solution to the security and privacy issues. In conclusion, we introduce an access-control method for privacy protection of EHRs and EHR policy transformation that allows an EHR access-control policy to be transformed from a private cloud to a public cloud. This method has never been studied previously in the literature. Furthermore, we provide a protocol to demonstrate policy transformation as an application scenario. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Electronic Health Record Use a Bitter Pill for Many Physicians.

PubMed

Meigs, Stephen L; Solomon, Michael

2016-01-01

Electronic health record (EHR) adoption among office-based physician practices in the United States has increased significantly in the past decade. However, the challenges of using EHRs have resulted in growing dissatisfaction with the systems among many of these physicians. The purpose of this qualitative multiple-case study was to increase understanding of physician perceptions regarding the value of using EHR technology. Important findings included the belief among physicians that EHR systems need to be more user-friendly and adaptable to individual clinic workflow preferences, physician beliefs that lack of interoperability among EHRs is a major barrier to meaningful use of the systems, and physician beliefs that EHR use does not improve the quality of care provided to patients. These findings suggest that although government initiatives to encourage EHR adoption among office-based physician practices have produced positive results, additional support may be required in the future to maintain this momentum.

Protection of electronic health records (EHRs) in cloud.

PubMed

Alabdulatif, Abdulatif; Khalil, Ibrahim; Mai, Vu

2013-01-01

EHR technology has come into widespread use and has attracted attention in healthcare institutions as well as in research. Cloud services are used to build efficient EHR systems and obtain the greatest benefits of EHR implementation. Many issues relating to building an ideal EHR system in the cloud, especially the tradeoff between flexibility and security, have recently surfaced. The privacy of patient records in cloud platforms is still a point of contention. In this research, we are going to improve the management of access control by restricting participants' access through the use of distinct encrypted parameters for each participant in the cloud-based database. Also, we implement and improve an existing secure index search algorithm to enhance the efficiency of information control and flow through a cloud-based EHR system. At the final stage, we contribute to the design of reliable, flexible and secure access control, enabling quick access to EHR information.

Electronic Health Record Use a Bitter Pill for Many Physicians

PubMed Central

Meigs, Stephen L.; Solomon, Michael

2016-01-01

Electronic health record (EHR) adoption among office-based physician practices in the United States has increased significantly in the past decade. However, the challenges of using EHRs have resulted in growing dissatisfaction with the systems among many of these physicians. The purpose of this qualitative multiple-case study was to increase understanding of physician perceptions regarding the value of using EHR technology. Important findings included the belief among physicians that EHR systems need to be more user-friendly and adaptable to individual clinic workflow preferences, physician beliefs that lack of interoperability among EHRs is a major barrier to meaningful use of the systems, and physician beliefs that EHR use does not improve the quality of care provided to patients. These findings suggest that although government initiatives to encourage EHR adoption among office-based physician practices have produced positive results, additional support may be required in the future to maintain this momentum. PMID:26903782

Electronic health records: use, barriers and satisfaction among physicians who care for black and Hispanic patients.

PubMed

Jha, Ashish K; Bates, David W; Jenter, Chelsea; Orav, E John; Zheng, Jie; Cleary, Paul; Simon, Steven R

2009-02-01

Electronic health records (EHRs) are a promising tool to improve the quality of health care, although it remains unclear who will benefit from this new technology. Given that a small group of providers care for most racial/ethnic minorities, we sought to determine whether minority-serving providers adopt EHR systems at comparable rates to other providers. We used survey data from stratified random sample of all medical practices in Massachusetts in 2005. We determined rates of EHR adoption, perceived barriers to adoption, and satisfaction with EHR systems. Physicians who reported patient panels of more than 40% black or Hispanic had comparable levels of EHR adoption than other physicians (27.9% and 21.8%, respectively, P = 0.46). Physicians from minority-serving practices identified financial and other barriers to implementing EHR systems at similar rates, although these physicians were less likely to be concerned with privacy and security concerns of EHRs (47.1% vs. 64.4%, P = 0.01). Finally, physicians from high-minority practices had similar perceptions about the positive impact of EHRs on quality (73.7% vs. 76.6%, P = 0.43) and costs (46.9% vs. 51.5%, P = 0.17) of care. In a state with a diverse minority population, we found no evidence that minority-serving providers had lower EHR adoption rates, faced different barriers to adoption or were less satisfied with EHRs. Given the importance of ensuring that minority-serving providers have equal access to EHR systems, we failed to find evidence of a new digital divide.

Implementing a Social Knowledge Networking (SKN) system to enable meaningful use of an EHR medication reconciliation system

PubMed Central

Rangachari, Pavani

2018-01-01

Background Despite the regulatory impetus toward meaningful use of electronic health record (EHR) Medication Reconciliation (MedRec) to prevent medication errors during care transitions, hospital adherence has lagged for one chief reason: low physician engagement, stemming from lack of consensus about which physician is responsible for managing a patient’s medication list. In October 2016, Augusta University received a 2-year grant from the Agency for Healthcare Research and Quality to implement a Social Knowledge Networking (SKN) system for enabling its health system (AU Health) to progress from “limited use” of EHR MedRec technology to “meaningful use.” The hypothesis is that SKN would bring together a diverse group of practitioners, to facilitate tacit knowledge exchange on issues related to EHR MedRec, which in turn is expected to increase practitioners’ engagement in addressing those issues and enable meaningful use of EHR. The specific aims are to examine: 1) user-engagement in the SKN system, and 2) associations between “SKN use” and “meaningful use” of EHR. Methods The 2-year project uses an exploratory mixed-method design and consists of three phases: 1) development; 2) SKN implementation; and 3) analysis. Phase 1, completed in May 2017, sought to identify a comprehensive set of issues related to EHR MedRec from practitioners directly involved in the MedRec process. This process facilitated development of a “Reporting Tool” on issues related to EHR MedRec, which, along with an existing “SKN/Discussion Tool,” was integrated into the EHR at AU Health. Phase 2 (launched in June 2017) involves implementing the EHR-integrated SKN system over a 52-week period in inpatient and outpatient medicine units. Discussion The prospective implementation design is expected to generate context-sensitive strategies for meaningful use and successful implementation of EHR MedRec and thereby make substantial contributions to the patient safety and risk management literature. From a health care policy perspective, if the hypothesis holds, federal vendors could be encouraged to incorporate SKN features into EHR systems. PMID:29618941

Electronic health record systems in ophthalmology: impact on clinical documentation.

PubMed

Sanders, David S; Lattin, Daniel J; Read-Brown, Sarah; Tu, Daniel C; Wilson, David J; Hwang, Thomas S; Morrison, John C; Yackel, Thomas R; Chiang, Michael F

2013-09-01

To evaluate quantitative and qualitative differences in documentation of the ophthalmic examination between paper and electronic health record (EHR) systems. Comparative case series. One hundred fifty consecutive pairs of matched paper and EHR notes, documented by 3 attending ophthalmologist providers. An academic ophthalmology department implemented an EHR system in 2006. Database queries were performed to identify cases in which the same problems were documented by the same provider on different dates, using paper versus EHR methods. This was done for 50 consecutive pairs of examinations in 3 different diseases: age-related macular degeneration (AMD), glaucoma, and pigmented choroidal lesions (PCLs). Quantitative measures were used to compare completeness of documenting the complete ophthalmologic examination, as well as disease-specific critical findings using paper versus an EHR system. Qualitative differences in paper versus EHR documentation were illustrated by selecting representative paired examples. (1) Documentation score, defined as the number of examination elements recorded for the slit-lamp examination, fundus examination, and complete ophthalmologic examination and for critical clinical findings for each disease. (2) Paired comparison of qualitative differences in paper versus EHR documentation. For all 3 diseases (AMD, glaucoma, PCL), the number of complete examination findings recorded was significantly lower with paper than the EHR system (P ≤ 0.004). Among the 3 individual examination sections (general, slit lamp, fundus) for the 3 diseases, 5 of the 9 possible combinations had significantly lower mean documentation scores with paper than EHR notes. For 2 of the 3 diseases, the number of critical clinical findings recorded was significantly lower using paper versus EHR notes (P ≤ 0.022). All (150/150) paper notes relied on graphical representations using annotated hand-drawn sketches, whereas no (0/150) EHR notes contained drawings. Instead, the EHR systems documented clinical findings using textual descriptions and interpretations. There were quantitative and qualitative differences in the nature of paper versus EHR documentation of ophthalmic findings in this study. The EHR notes included more complete documentation of examination elements using structured textual descriptions and interpretations, whereas paper notes used graphical representations of findings. The author(s) have no proprietary or commercial interest in any materials discussed in this article. Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Readiness of the Belgian network of sentinel general practitioners to deliver electronic health record data for surveillance purposes: results of survey study.

PubMed

Boffin, Nicole; Bossuyt, Nathalie; Vanthomme, Katrien; Van Casteren, Viviane

2010-06-25

In order to proceed from a paper based registration to a surveillance system that is based on extraction of electronic health records (EHR), knowledge is needed on the number and representativeness of sentinel GPs using a government-certified EHR system and the quality of EHR data for research, expressed in the compliance rate with three criteria: recording of home visits, use of prescription module and diagnostic subject headings. Data were collected by annual postal surveys between 2005 and 2009 among all sentinel GPs. We tested relations between four key GP characteristics (age, gender, language community, practice organisation) and use of a certified EHR system by multivariable logistic regression. The relation between EHR software package, GP characteristics and compliance with three quality criteria was equally measured by multivariable logistic regression. A response rate of 99% was obtained. Of 221 sentinel GPs, 55% participated in the surveillance without interruption from 2005 onwards, i.e. all five years, and 78% were participants in 2009. Sixteen certified EHR systems were used among 91% of the Dutch and 63% of the French speaking sentinel GPs. The EHR software package was strongly related to the community and only one EHR system was used by a comparable number of sentinel GPs in both communities. Overall, the prescription module was always used and home visits were usually recorded. Uniform subject headings were only sometimes used and the compliance with this quality criterion was almost exclusively related to the EHR software package in use. The challenge is to progress towards a sentinel network of GPs delivering care-based data that are (partly) extracted from well performing EHR systems and still representative for Belgian general practice.

The openEHR Java reference implementation project.

PubMed

Chen, Rong; Klein, Gunnar

2007-01-01

The openEHR foundation has developed an innovative design for interoperable and future-proof Electronic Health Record (EHR) systems based on a dual model approach with a stable reference information model complemented by archetypes for specific clinical purposes.A team from Sweden has implemented all the stable specifications in the Java programming language and donated the source code to the openEHR foundation. It was adopted as the openEHR Java Reference Implementation in March 2005 and released under open source licenses. This encourages early EHR implementation projects around the world and a number of groups have already started to use this code. The early Java implementation experience has also led to the publication of the openEHR Java Implementation Technology Specification. A number of design changes to the specifications and important minor corrections have been directly initiated by the implementation project over the last two years. The Java Implementation has been important for the validation and improvement of the openEHR design specifications and provides building blocks for future EHR systems.

Too Much or Too Little? How Much Control Should Patients Have Over EHR Data?

PubMed

Bhuyan, Soumitra Sudip; Bailey-DeLeeuw, Sandra; Wyant, David K; Chang, Cyril F

2016-07-01

Electronic health records (EHRs) have been promoted as a mechanism to overcome the fragmented healthcare system in the United States. The challenge that is being discussed is the rights of the patient to control the access to their EHRs' data and the needs of healthcare professionals to know health data to make the best treatment decisions for their patients. The Federal Trade Commission has asked those who store consumer information to comply with the Fair Information Practice Principles. In the EHR context, these principles give the rights to the patient to control who can see their health data and what components of the data are restricted from view. Control is not limited to patients, as it also includes parents of adolescent children. We suggest that the ongoing policy discussion include consideration of the precise questions patients will be asked when a need for data sharing arises. Further, patients should understand the relative risks that they face, and the degree to which their decisions will (or will not) significantly reduce the risk of a data breach. As various approaches are considered, it is important to address the relative resource requirements and the associated costs of each option.

Usability problems do not heal by themselves: National survey on physicians' experiences with EHRs in Finland.

PubMed

Kaipio, Johanna; Lääveri, Tinja; Hyppönen, Hannele; Vainiomäki, Suvi; Reponen, Jarmo; Kushniruk, Andre; Borycki, Elizabeth; Vänskä, Jukka

2017-01-01

Survey studies of health information systems use tend to focus on availability of functionalities, adoption and intensity of use. Usability surveys have not been systematically conducted by any healthcare professional groups on a national scale on a repeated basis. This paper presents results from two cross-sectional surveys of physicians' experiences with the usability of currently used EHR systems in Finland. The research questions were: To what extent has the overall situation improved between 2010 and 2014? What differences are there between healthcare sectors? In the spring of 2014, a survey was conducted in Finland using a questionnaire that measures usability and respondents' user experiences with electronic health record (EHR) systems. The survey was targeted to physicians who were actively doing clinical work. Twenty-four usability-related statements, that were identical in 2010 and 2014, were analysed from the survey. The respondents were also asked to give an overall rating of the EHR system they used. The study data comprised responses from 3081 physicians from the year 2014 and from 3223 physicians in the year 2010, who were using the nine most commonly used EHR system brands in Finland. Physicians' assessments of the usability of their EHR system remain as critical as they were in 2010. On a scale from 1 ('fail') to 7 ('excellent') the average of overall ratings of their principally used EHR systems varied from 3.2 to 4.4 in 2014 (and in 2010 from 2.5 to 4.3). The results show some improvements in the following EHR functionalities and characteristics: summary view of patient's health status, prevention of errors associated with medication ordering, patient's medication list as well as support for collaboration and information exchange between the physician and the nurses. Even so, support for cross-organizational collaboration between physicians and for physician-patient collaboration were still considered inadequate. Satisfaction with technical features had not improved in four years. The results show marked differences between the EHR system brands as well as between healthcare sectors (private sector, public hospitals, primary healthcare). Compared to responses from the public sector, physicians working in the private sector were more satisfied with their EHR systems with regards to statements about user interface characteristics and support for routine tasks. Overall, the study findings are similar to our previous study conducted in 2010. Surveys about the usability of EHR systems are needed to monitor their development at regional and national levels. To our knowledge, this study is the first national eHealth observatory questionnaire that focuses on usability and is used to monitor the long-term development of EHRs. The results do not show notable improvements in physician's ratings for their EHRs between the years 2010 and 2014 in Finland. Instead, the results indicate the existence of serious problems and deficiencies which considerably hinder the efficiency of EHR use and physician's routine work. The survey results call for considerable amount of development work in order to achieve the expected benefits of EHR systems and to avoid technology-induced errors which may endanger patient safety. The findings of repeated surveys can be used to inform healthcare providers, decision makers and politicians about the current state of EHR usability and differences between brands as well as for improvements of EHR usability. This survey will be repeated in 2017 and there is a plan to include other healthcare professional groups in future surveys. Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions

PubMed Central

Harpaz, Rave; Vilar, Santiago; DuMouchel, William; Salmasian, Hojjat; Haerian, Krystl; Shah, Nigam H; Chase, Herbert S; Friedman, Carol

2013-01-01

Objective Data-mining algorithms that can produce accurate signals of potentially novel adverse drug reactions (ADRs) are a central component of pharmacovigilance. We propose a signal-detection strategy that combines the adverse event reporting system (AERS) of the Food and Drug Administration and electronic health records (EHRs) by requiring signaling in both sources. We claim that this approach leads to improved accuracy of signal detection when the goal is to produce a highly selective ranked set of candidate ADRs. Materials and methods Our investigation was based on over 4 million AERS reports and information extracted from 1.2 million EHR narratives. Well-established methodologies were used to generate signals from each source. The study focused on ADRs related to three high-profile serious adverse reactions. A reference standard of over 600 established and plausible ADRs was created and used to evaluate the proposed approach against a comparator. Results The combined signaling system achieved a statistically significant large improvement over AERS (baseline) in the precision of top ranked signals. The average improvement ranged from 31% to almost threefold for different evaluation categories. Using this system, we identified a new association between the agent, rasburicase, and the adverse event, acute pancreatitis, which was supported by clinical review. Conclusions The results provide promising initial evidence that combining AERS with EHRs via the framework of replicated signaling can improve the accuracy of signal detection for certain operating scenarios. The use of additional EHR data is required to further evaluate the capacity and limits of this system and to extend the generalizability of these results. PMID:23118093

Adoption of electronic health records and barriers

PubMed Central

Palabindala, Venkataraman; Pamarthy, Amaleswari; Jonnalagadda, Nageshwar Reddy

2016-01-01

Electronic health records (EHR) are not a new idea in the U.S. medical system, but surprisingly there has been very slow adoption of fully integrated EHR systems in practice in both primary care settings and within hospitals. For those who have invested in EHR, physicians report high levels of satisfaction and confidence in the reliability of their system. There is also consensus that EHR can improve patient care, promote safe practice, and enhance communication between patients and multiple providers, reducing the risk of error. As EHR implementation continues in hospitals, administrative and physician leadership must actively investigate all of the potential risks for medical error, system failure, and legal responsibility before moving forward. Ensuring that physicians are aware of their responsibilities in relation to their charting practices and the depth of information available within an EHR system is crucial for minimizing the risk of malpractice and lawsuit. Hospitals must commit to regular system upgrading and corresponding training for all users to reduce the risk of error and adverse events. PMID:27802857

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach

PubMed Central

Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong

2017-01-01

Background Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. Objective We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation—that is, creating lay definitions for these terms. Methods Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. Results The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS’s performance substantially. Conclusions ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS’s performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. PMID:29089288

Which functionalities are available in the electronic health record systems used by French general practitioners? An assessment study of 15 systems.

PubMed

Darmon, David; Sauvant, Rémy; Staccini, Pascal; Letrilliart, Laurent

2014-01-01

Whereas an unprecedented effort is currently under way worldwide for the implementation of electronic health record (EHR) systems, their capabilities are poorly understood, especially in primary care. The objective of this study was to assess the main functionalities of the EHR systems used in French general practices. Among the 20 EHR systems marketed in France, we assessed the 15 systems used by more than 1500 general practitioners in the Provence-Alpes-Côte d'Azur region in the southeast part of France. Each EHR system was assessed in a general practice office, using two clinical vignettes describing virtual patient consultations. The evaluation criteria were derived from the EuroRec requirements for EHR system quality. The assessment scale included 37 criteria grouped into three sets: background data, consultation data, and exchange functionalities. The scoring system used, totalling 64 points, was based on the validation of the criteria and was adjusted based on the possibility of standardising the data. A high score indicated a good EHR system quality. The median global score was 32 points out of a possible 64 (range: 20-39). The median score was 12 points out of 22 (range: 6-15) for the background data set, 16 points out of 32 (range: 9-22) for the consultation data set, and four points out of 10 (range: 0-6) for the exchange functionalities. No association was found between the number of users and the assessment score of the EHR systems (p=0.79). One third of the EHR systems lacked a problem list and only one of them supported the episode of care. Functionalities noticeably vary among the EHR systems currently used in French primary care. Whereas these systems are globally very focused on drug prescriptions, several core functionalities are frequently lacking. They are also poorly interoperable for healthcare professionals and patients. Further research is necessary to assess their actual use. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Restructuring an EHR system and the Medical Markup Language (MML) standard to improve interoperability by archetype technology.

PubMed

Kobayashi, Shinji; Kume, Naoto; Yoshihara, Hiroyuki

2015-01-01

In 2001, we developed an EHR system for regional healthcare information inter-exchange and to provide individual patient data to patients. This system was adopted in three regions in Japan. We also developed a Medical Markup Language (MML) standard for inter- and intra-hospital communications. The system was built on a legacy platform, however, and had not been appropriately maintained or updated to meet clinical requirements. To improve future maintenance costs, we reconstructed the EHR system using archetype technology on the Ruby on Rails platform, and generated MML equivalent forms from archetypes. The system was deployed as a cloud-based system for preliminary use as a regional EHR. The system now has the capability to catch up with new requirements, maintaining semantic interoperability with archetype technology. It is also more flexible than the legacy EHR system.

Finding Meaning in Medication Reconciliation Using Electronic Health Records: Qualitative Analysis in Safety Net Primary and Specialty Care

PubMed Central

Matta, George Yaccoub; Khoong, Elaine C; Lyles, Courtney R; Schillinger, Dean

2018-01-01

Background Safety net health systems face barriers to effective ambulatory medication reconciliation for vulnerable populations. Although some electronic health record (EHR) systems offer safety advantages, EHR use may affect the quality of patient-provider communication. Objective This mixed-methods observational study aimed to develop a conceptual framework of how clinicians balance the demands and risks of EHR and communication tasks during medication reconciliation discussions in a safety net system. Methods This study occurred 3 to 16 (median 9) months after new EHR implementation in five academic public hospital clinics. We video recorded visits between English-/Spanish-speaking patients and their primary/specialty care clinicians. We analyzed the proportion of medications addressed and coded time spent on nonverbal tasks during medication reconciliation as “multitasking EHR use,” “silent EHR use,” “non-EHR multitasking,” and “focused patient-clinician talk.” Finally, we analyzed communication patterns to develop a conceptual framework. Results We examined 35 visits (17%, 6/35 Spanish) between 25 patients (mean age 57, SD 11 years; 44%, 11/25 women; 48%, 12/25 Hispanic; and 20%, 5/25 with limited health literacy) and 25 clinicians (48%, 12/25 primary care). Patients had listed a median of 7 (IQR 5-12) relevant medications, and clinicians addressed a median of 3 (interquartile range [IQR] 1-5) medications. The median duration of medication reconciliation was 2.1 (IQR 1.0-4.2) minutes, comprising a median of 10% (IQR 3%-17%) of visit time. Multitasking EHR use occurred in 47% (IQR 26%-70%) of the medication reconciliation time. Silent EHR use and non-EHR multitasking occurred a smaller proportion of medication reconciliation time, with a median of 0% for both. Focused clinician-patient talk occurred a median of 24% (IQR 0-39%) of medication reconciliation time. Five communication patterns with EHR medication reconciliation were observed: (1) typical EHR multitasking for medication reconciliation, (2) dynamic EHR use to negotiate medication discrepancies, (3) focused patient-clinician talk for medication counseling and addressing patient concerns, (4) responding to patient concerns while maintaining EHR use, and (5) using EHRs to engage patients during medication reconciliation. We developed a conceptual diagram representing the dilemma of the multitasking clinician during medication reconciliation. Conclusions Safety net visits involve multitasking EHR use during almost half of medication reconciliation time. The multitasking clinician balances the cognitive and emotional demands posed by incoming information from multiple sources, attempts to synthesize and act on this information through EHR and communication tasks, and adopts strategies of silent EHR use and focused patient-clinician talk that may help mitigate the risks of multitasking. Future studies should explore diverse patient perspectives about clinician EHR multitasking, clinical outcomes related to EHR multitasking, and human factors and systems engineering interventions to improve the safety of EHR use during the complex process of medication reconciliation. PMID:29735477

Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations

PubMed Central

Arndt, Brian G.; Beasley, John W.; Watkinson, Michelle D.; Temte, Jonathan L.; Tuan, Wen-Jan; Sinsky, Christine A.; Gilchrist, Valerie J.

2017-01-01

PURPOSE Primary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non–face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours. METHODS We conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from “event logging” records over a 3-year period for both direct patient care and non–face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours. RESULTS Clinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%). CONCLUSIONS Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation. PMID:28893811

Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

PubMed

Arndt, Brian G; Beasley, John W; Watkinson, Michelle D; Temte, Jonathan L; Tuan, Wen-Jan; Sinsky, Christine A; Gilchrist, Valerie J

2017-09-01

Primary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours. We conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours. Clinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%). Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation. © 2017 Annals of Family Medicine, Inc.

Semantic interoperability--HL7 Version 3 compared to advanced architecture standards.

PubMed

Blobel, B G M E; Engel, K; Pharow, P

2006-01-01

To meet the challenge for high quality and efficient care, highly specialized and distributed healthcare establishments have to communicate and co-operate in a semantically interoperable way. Information and communication technology must be open, flexible, scalable, knowledge-based and service-oriented as well as secure and safe. For enabling semantic interoperability, a unified process for defining and implementing the architecture, i.e. structure and functions of the cooperating systems' components, as well as the approach for knowledge representation, i.e. the used information and its interpretation, algorithms, etc. have to be defined in a harmonized way. Deploying the Generic Component Model, systems and their components, underlying concepts and applied constraints must be formally modeled, strictly separating platform-independent from platform-specific models. As HL7 Version 3 claims to represent the most successful standard for semantic interoperability, HL7 has been analyzed regarding the requirements for model-driven, service-oriented design of semantic interoperable information systems, thereby moving from a communication to an architecture paradigm. The approach is compared with advanced architectural approaches for information systems such as OMG's CORBA 3 or EHR systems such as GEHR/openEHR and CEN EN 13606 Electronic Health Record Communication. HL7 Version 3 is maturing towards an architectural approach for semantic interoperability. Despite current differences, there is a close collaboration between the teams involved guaranteeing a convergence between competing approaches.

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews.

PubMed

Chen, Jinying; Druhl, Emily; Polepalli Ramesh, Balaji; Houston, Thomas K; Brandt, Cynthia A; Zulman, Donna M; Vimalananda, Varsha G; Malkani, Samir; Yu, Hong

2018-01-22

Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. The aim of this study was to develop and evaluate the usability and content quality of NoteAid, a Web-based natural language processing system that links medical terms in EHR notes to lay definitions, that is, definitions easily understood by lay people. NoteAid incorporates two core components: CoDeMed, a lexical resource of lay definitions for medical terms, and MedLink, a computational unit that links medical terms to lay definitions. We developed innovative computational methods, including an adapted distant supervision algorithm to prioritize medical terms important for EHR comprehension to facilitate the effort of building CoDeMed. Ten physician domain experts evaluated the user interface and content quality of NoteAid. The evaluation protocol included a cognitive walkthrough session and a postsession questionnaire. Physician feedback sessions were audio-recorded. We used standard content analysis methods to analyze qualitative data from these sessions. Physician feedback was mixed. Positive feedback on NoteAid included (1) Easy to use, (2) Good visual display, (3) Satisfactory system speed, and (4) Adequate lay definitions. Opportunities for improvement arising from evaluation sessions and feedback included (1) improving the display of definitions for partially matched terms, (2) including more medical terms in CoDeMed, (3) improving the handling of terms whose definitions vary depending on different contexts, and (4) standardizing the scope of definitions for medicines. On the basis of these results, we have improved NoteAid's user interface and a number of definitions, and added 4502 more definitions in CoDeMed. Physician evaluation yielded useful feedback for content validation and refinement of this innovative tool that has the potential to improve patient EHR comprehension and experience using patient portals. Future ongoing work will develop algorithms to handle ambiguous medical terms and test and evaluate NoteAid with patients. ©Jinying Chen, Emily Druhl, Balaji Polepalli Ramesh, Thomas K Houston, Cynthia A Brandt, Donna M Zulman, Varsha G Vimalananda, Samir Malkani, Hong Yu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.01.2018.

Resistance is futile: but it is slowing the pace of EHR adoption nonetheless.

PubMed

Ford, Eric W; Menachemi, Nir; Peterson, Lori T; Huerta, Timothy R

2009-01-01

The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. (1) The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a "Universal EHR Adoption" by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. EHR adoption parameters--external and internal coefficients of influence--are estimated using bass diffusion models and future adoption rates are projected. Comparing the EHR adoption rates before and after 2004 (2001-2004 and 2001-2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion.

Challenges to EHR implementation in electronic- versus paper-based office practices.

PubMed

Zandieh, Stephanie O; Yoon-Flannery, Kahyun; Kuperman, Gilad J; Langsam, Daniel J; Hyman, Daniel; Kaushal, Rainu

2008-06-01

Challenges in implementing electronic health records (EHRs) have received some attention, but less is known about the process of transitioning from legacy EHRs to newer systems. To determine how ambulatory leaders differentiate implementation approaches between practices that are currently paper-based and those with a legacy EHR system (EHR-based). Qualitative study. Eleven practice managers and 12 medical directors all part of an academic ambulatory care network of a large teaching hospital in New York City in January to May of 2006. Qualitative approach comparing and contrasting perceived benefits and challenges in implementing an ambulatory EHR between practice leaders from paper- and EHR-based practices. Content analysis was performed using grounded theory and ATLAS.ti 5.0. We found that paper-based leaders prioritized the following: sufficient workstations and printers, a physician information technology (IT) champion at the practice, workflow education to ensure a successful transition to a paperless medical practice, and a high existing comfort level of practitioners and support staff with IT. In contrast, EHR-based leaders prioritized: improved technical training and ongoing technical support, sufficient protection of patient privacy, and open recognition of physician resistance, especially for those who were loyal to a legacy EHR. Unlike paper-based practices, EHR-based leadership believed that comfort level with IT and adjustments to workflow changes would not be difficult challenges to overcome. Leadership at paper- and EHR-based practices in 1 academic network has different priorities for implementing a new EHR. Ambulatory practices upgrading their legacy EHR have unique challenges.

Bridging data models and terminologies to support adverse drug event reporting using EHR data.

PubMed

Declerck, G; Hussain, S; Daniel, C; Yuksel, M; Laleci, G B; Twagirumukiza, M; Jaulent, M-C

2015-01-01

This article is part of the Focus Theme of METHODs of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". SALUS project aims at building an interoperability platform and a dedicated toolkit to enable secondary use of electronic health records (EHR) data for post marketing drug surveillance. An important component of this toolkit is a drug-related adverse events (AE) reporting system designed to facilitate and accelerate the reporting process using automatic prepopulation mechanisms. To demonstrate SALUS approach for establishing syntactic and semantic interoperability for AE reporting. Standard (e.g. HL7 CDA-CCD) and proprietary EHR data models are mapped to the E2B(R2) data model via SALUS Common Information Model. Terminology mapping and terminology reasoning services are designed to ensure the automatic conversion of source EHR terminologies (e.g. ICD-9-CM, ICD-10, LOINC or SNOMED-CT) to the target terminology MedDRA which is expected in AE reporting forms. A validated set of terminology mappings is used to ensure the reliability of the reasoning mechanisms. The percentage of data elements of a standard E2B report that can be completed automatically has been estimated for two pilot sites. In the best scenario (i.e. the available fields in the EHR have actually been filled), only 36% (pilot site 1) and 38% (pilot site 2) of E2B data elements remain to be filled manually. In addition, most of these data elements shall not be filled in each report. SALUS platform's interoperability solutions enable partial automation of the AE reporting process, which could contribute to improve current spontaneous reporting practices and reduce under-reporting, which is currently one major obstacle in the process of acquisition of pharmacovigilance data.

The SAFER guides: empowering organizations to improve the safety and effectiveness of electronic health records.

PubMed

Sittig, Dean F; Ash, Joan S; Singh, Hardeep

2014-05-01

Electronic health records (EHRs) have potential to improve quality and safety of healthcare. However, EHR users have experienced safety concerns from EHR design and usability features that are not optimally adapted for the complex work flow of real-world practice. Few strategies exist to address unintended consequences from implementation of EHRs and other health information technologies. We propose that organizations equipped with EHRs should consider the strategy of "proactive risk assessment" of their EHR-enabled healthcare system to identify and address EHR-related safety concerns. In this paper, we describe the conceptual underpinning of an EHR-related self-assessment strategy to provide institutions a foundation upon which they could build their safety efforts. With support from the Office of the National Coordinator for Health Information Technology (ONC), we used a rigorous, iterative process to develop a set of 9 self-assessment tools to optimize the safety and safe use of EHRs. These tools, referred to as the Safety Assurance Factors for EHR Resilience (SAFER) guides, could be used to self-assess safety and effectiveness of EHR implementations, identify specific areas of vulnerability, and create solutions and culture change to mitigate risks. A variety of audiences could conduct these assessments, including frontline clinicians or care teams in different practices, or clinical, quality, or administrative leaders within larger institutions. The guides use a multifaceted systems-based approach to assess risk and empower organizations to work with internal or external stakeholders (eg, EHR developers) on optimizing EHR functionality and using EHRs to drive improvements in the quality and safety of healthcare.

The total cost of EHR ownership.

PubMed

Eastaugh, Steven R

2013-02-01

Consider total cost of ownership, not just initial cost of acquisition and annual maintenance, when reviewing electronic health record (EHR) system bids. Support costs--a key part of total cost of ownership--include FTEs dedicated to the system. The long-term costs of an EHR system can vary dramatically (up to 200 percent) depending on which system is selected.

Comparing the Certification Criteria for CCHIT-Certified Ambulatory EHR with the SNUBH's EHR Functionalities

PubMed Central

Heo, Eun Young; Hwang, Hee; Kim, Eun Hye; Cho, Eun Young; Lee, Kee Hyuck; Kim, Tae Hun; Kim, Ki Dong; Baek, Rong Min

2012-01-01

Objectives This study aims to investigate the suitability of electronic health record (EHR) systems in Korea for global certification and to propose functions for future global systems by comparing and analyzing the certification criteria for Certification Commission for Health Information Technology (CCHIT) Certified Ambulatory EHR with BESTCare, which is the EHR system at Seoul National University Bundang hospital. Methods Domain expert groups were formed to analyze the inclusion of BESTCare functions and the types of differences for each of the CCHIT Certified 2011 Ambulatory EHR Certification Criteria. The types of differences were divided into differences in functions (F), differences in business processes (B), and differences in government policies (P). Results Generally, the criteria that showed differences in functions pertained to the connection between the diagnosis/problem list and order, the alert and warning functions for medication-diagnosis interactions, and the reminder/instruction/notification messages related to the patient's immunization status; these absent functions were enhanced clinical decision support system (CDSS) functions related to patient safety and healthcare quality. Differences in government policies were found in the pharmacy's electronic prescription functions, while differences in business processes were found in the functions constrained by the local workflow or internal policy, which require some customization. Conclusions Functions that differed between the CCHIT certification criteria and the BESTCare system in this study should be considered when developing a global EHR system. Such a system will need to be easily customizable to adapt to various government policies and local business processes. These functions should be considered when developing a global EHR system certified by CCHIT in the future. PMID:22509474

Domain Modeling and Application Development of an Archetype- and XML-based EHRS. Practical Experiences and Lessons Learnt.

PubMed

Kropf, Stefan; Chalopin, Claire; Lindner, Dirk; Denecke, Kerstin

2017-06-28

Access to patient data within the hospital or between hospitals is still problematic since a variety of information systems is in use applying different vendor specific terminologies and underlying knowledge models. Beyond, the development of electronic health record systems (EHRSs) is time and resource consuming. Thus, there is a substantial need for a development strategy of standardized EHRSs. We are applying a reuse-oriented process model and demonstrate its feasibility and realization on a practical medical use case, which is an EHRS holding all relevant data arising in the context of treatment of tumors of the sella region. In this paper, we describe the development process and our practical experiences. Requirements towards the development of the EHRS were collected by interviews with a neurosurgeon and patient data analysis. For modelling of patient data, we selected openEHR as standard and exploited the software tools provided by the openEHR foundation. The patient information model forms the core of the development process, which comprises the EHR generation and the implementation of an EHRS architecture. Moreover, a reuse-oriented process model from the business domain was adapted to the development of the EHRS. The reuse-oriented process model is a model for a suitable abstraction of both, modeling and development of an EHR centralized EHRS. The information modeling process resulted in 18 archetypes that were aggregated in a template and built the boilerplate of the model driven development. The EHRs and the EHRS were developed by openEHR and W3C standards, tightly supported by well-established XML techniques. The GUI of the final EHRS integrates and visualizes information from various examinations, medical reports, findings and laboratory test results. We conclude that the development of a standardized overarching EHR and an EHRS is feasible using openEHR and W3C standards, enabling a high degree of semantic interoperability. The standardized representation visualizes data and can in this way support the decision process of clinicians.

Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.

PubMed

Chen, Jinying; Jagannatha, Abhyuday N; Fodeh, Samah J; Yu, Hong

2017-10-31

Medical terms are a major obstacle for patients to comprehend their electronic health record (EHR) notes. Clinical natural language processing (NLP) systems that link EHR terms to lay terms or definitions allow patients to easily access helpful information when reading through their EHR notes, and have shown to improve patient EHR comprehension. However, high-quality lay language resources for EHR terms are very limited in the public domain. Because expanding and curating such a resource is a costly process, it is beneficial and even necessary to identify terms important for patient EHR comprehension first. We aimed to develop an NLP system, called adapted distant supervision (ADS), to rank candidate terms mined from EHR corpora. We will give EHR terms ranked as high by ADS a higher priority for lay language annotation-that is, creating lay definitions for these terms. Adapted distant supervision uses distant supervision from consumer health vocabulary and transfer learning to adapt itself to solve the problem of ranking EHR terms in the target domain. We investigated 2 state-of-the-art transfer learning algorithms (ie, feature space augmentation and supervised distant supervision) and designed 5 types of learning features, including distributed word representations learned from large EHR data for ADS. For evaluating ADS, we asked domain experts to annotate 6038 candidate terms as important or nonimportant for EHR comprehension. We then randomly divided these data into the target-domain training data (1000 examples) and the evaluation data (5038 examples). We compared ADS with 2 strong baselines, including standard supervised learning, on the evaluation data. The ADS system using feature space augmentation achieved the best average precision, 0.850, on the evaluation set when using 1000 target-domain training examples. The ADS system using supervised distant supervision achieved the best average precision, 0.819, on the evaluation set when using only 100 target-domain training examples. The 2 ADS systems both performed significantly better than the baseline systems (P<.001 for all measures and all conditions). Using a rich set of learning features contributed to ADS's performance substantially. ADS can effectively rank terms mined from EHRs. Transfer learning improved ADS's performance even with a small number of target-domain training examples. EHR terms prioritized by ADS were used to expand a lay language resource that supports patient EHR comprehension. The top 10,000 EHR terms ranked by ADS are available upon request. ©Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 31.10.2017.

Defense Health Agency and the Deployment of the Electronic Health Record: Building an Organizational Framework for Implementation and Sustainment

DTIC Science & Technology

2016-12-01

vital component of hospital and information system management within a healthcare system, but it may be minimally realized by healthcare systems...both government and non-government hospital systems to address them in their strategic and operational plans. Nonetheless, EHR systems are a very... strategic imperatives. Trkman (2010) suggested in the Journal of Information Management , “Implementing change within an organization is dependent

Use of Electronic Health Records in sub-Saharan Africa: Progress and challenges

PubMed Central

Akanbi, Maxwell O.; Ocheke, Amaka N.; Agaba, Patricia A.; Daniyam, Comfort A.; Agaba, Emmanuel I.; Okeke, Edith N.; Ukoli, Christiana O.

2012-01-01

Background The Electronic Health Record (EHR) is a key component of medical informatics that is increasingly being utilized in industrialized nations to improve healthcare. There is limited information on the use of EHR in sub-Saharan Africa. This paper reviews availability of EHRs in sub-Saharan Africa. Methods Searches were performed on PubMed and Google Scholar databases using the terms ‘Electronic Health Records OR Electronic Medical Records OR e-Health and Africa’. References from identified publications were reviewed. Inclusion criterion was documented use of EHR in Africa. Results The search yielded 147 publications of which 21papers from 15 sub-Saharan African countries documented the use of EHR in Africa and were reviewed. About 91% reported use of Open Source healthcare software, with OpenMRS being the most widely used. Most reports were from HIV related health centers. Barriers to adoption of EHRs include high cost of procurement and maintenance, poor network infrastructure and lack of comfort among health workers with electronic medical records. Conclusion There has been an increase in the use of EHRs in sub-Saharan Africa, largely driven by utilization by HIV treatment programs. Penetration is still however very low. PMID:25243111

Effect of an Electronic Health Record on the Culture of an Outpatient Medical Oncology Practice in a Four-Hospital Integrated Health Care System: 5-Year Experience

PubMed Central

Brockstein, Bruce; Hensing, Thomas; Carro, George W.; Obel, Jennifer; Khandekar, Janardan; Kaminer, Lynne; Van De Wege, Christine; de Wilton Marsh, Robert

2011-01-01

The electronic health record (EHR) was adopted into the NorthShore University HealthSystem, a four-hospital integrated health system located in suburban Chicago, in 2003. By 2005, all chemotherapy and medicine order entry was conducted through the EHR, completing the incorporation of a fully paperless EHR in our hospital-based oncology practice in both the inpatient and outpatient settings. The use of the EHR has dramatically changed our practice environment by improving efficiency, patient safety, research productivity, and operations, while allowing evaluation of adherence to established quality measures and incorporation of new quality improvement initiatives. The reach of the EHR has been substantial and has influenced every aspect of care at our institution over the short period since its implementation. In this article, we describe subjective and objective measures, outcomes, and achievements of our 5-year EHR experience. PMID:22043197

Communication and the electronic health record training: a comparison of three healthcare systems.

PubMed

Lynott, Michelle H; Kooienga, Sarah A; Stewart, Valerie T

2012-01-01

The electronic health record (EHR) used in the examination room, is becoming the primary method of medical data storage in primary care practice in the USA. One of the challenges in using EHRs is maintaining effective patient-provider communication. Many studies have focused on communication in the examination room. Scant research exists on the best methods in educating nurse practitioners and other primary care providers (clinicians). The purpose of this study was to explore various health record training programmes for clinicians. One researcher participated in and observed three health systems' EHR training programmes for ambulatory care providers in the Pacific Northwest. A focused ethnographic approach was used, emphasising patient-provider communication. Only one system had formalised communication training in their class, the other two systems emphasised only the software and data aspects of the EHR. The fact that clinicians are expected to use EHRs in the examination room necessitates the inclusion of communication training in EHR training programmes and/or as a part of primary care nurse practitioner education programmes.

Care Coordination and Electronic Health Records: Connecting Clinicians

PubMed Central

Graetz, Ilana; Reed, Mary; Rundall, Thomas; Bellows, Jim; Brand, Richard; Hsu, John

2009-01-01

Objective: To examine the association between use of electronic health records (EHR) and care coordination. Study Design: Two surveys, in 2005 and again in 2006, of primary care clinicians working in a prepaid integrated delivery system during the staggered implementation of an EHR system. Using multivariate logistic regression to adjust for clinician characteristics, we examined the association between EHR use and clinicians’ perceptions of three dimensions of care coordination: timely access to complete information; treatment goal agreement; and role/responsibility agreement. Results: Compared to clinicians without EHR, clinicians with 6+ months of EHR use more frequently reported timely access to complete information, and being in agreement on treatment goals with other involved clinicians. There was no significant association between EHR use and being in agreement on roles and responsibilities with other clinicians. Conclusions: EHR use is associated with aspects of care coordination involving information transfer and communication of treatment goals. PMID:20351851

Implementation of a scalable, web-based, automated clinical decision support risk-prediction tool for chronic kidney disease using C-CDA and application programming interfaces.

PubMed

Samal, Lipika; D'Amore, John D; Bates, David W; Wright, Adam

2017-11-01

Clinical decision support tools for risk prediction are readily available, but typically require workflow interruptions and manual data entry so are rarely used. Due to new data interoperability standards for electronic health records (EHRs), other options are available. As a clinical case study, we sought to build a scalable, web-based system that would automate calculation of kidney failure risk and display clinical decision support to users in primary care practices. We developed a single-page application, web server, database, and application programming interface to calculate and display kidney failure risk. Data were extracted from the EHR using the Consolidated Clinical Document Architecture interoperability standard for Continuity of Care Documents (CCDs). EHR users were presented with a noninterruptive alert on the patient's summary screen and a hyperlink to details and recommendations provided through a web application. Clinic schedules and CCDs were retrieved using existing application programming interfaces to the EHR, and we provided a clinical decision support hyperlink to the EHR as a service. We debugged a series of terminology and technical issues. The application was validated with data from 255 patients and subsequently deployed to 10 primary care clinics where, over the course of 1 year, 569 533 CCD documents were processed. We validated the use of interoperable documents and open-source components to develop a low-cost tool for automated clinical decision support. Since Consolidated Clinical Document Architecture-based data extraction extends to any certified EHR, this demonstrates a successful modular approach to clinical decision support. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Resistance Is Futile: But It Is Slowing the Pace of EHR Adoption Nonetheless

PubMed Central

Ford, Eric W.; Menachemi, Nir; Peterson, Lori T.; Huerta, Timothy R.

2009-01-01

Objective The purpose of this study is to reassess the projected rate of Electronic Health Record (EHR) diffusion and examine how the federal government's efforts to promote the use of EHR technology have influenced physicians' willingness to adopt such systems. The study recreates and extends the analyses conducted by Ford et al. 1 The two periods examined come before and after the U.S. Federal Government's concerted activity to promote EHR adoption. Design Meta-analysis and bass modeling are used to compare EHR diffusion rates for two distinct periods of government activity. Very low levels of government activity to promote EHR diffusion marked the first period, before 2004. In 2004, the President of the United States called for a “Universal EHR Adoption” by 2014 (10 yrs), creating the major wave of activity and increased awareness of how EHRs will impact physicians' practices. Measurement EHR adoption parameters—external and internal coefficients of influence—are estimated using bass diffusion models and future adoption rates are projected. Results Comparing the EHR adoption rates before and after 2004 (2001–2004 and 2001–2007 respectively) indicate the physicians' resistance to adoption has increased during the second period. Based on current levels of adoption, less than half the physicians working in small practices will have implemented an EHR by 2014 (47.3%). Conclusions The external forces driving EHR diffusion have grown in importance since 2004 relative to physicians' internal motivation to adopt such systems. Several national forces are likely contributing to the slowing pace of EHR diffusion. PMID:19261931

Making electronic health records support quality management: A narrative review.

PubMed

Triantafillou, Peter

2017-08-01

Since the 1990s many hospitals in the OECD countries have introduced electronic health record (EHR) systems. A number of studies have examined the factors impinging on EHR implementation. Others have studied the clinical efficacy of EHR. However, only few studies have explored the (intermediary) factors that make EHR systems conducive to quality management (QM). Undertake a narrative review of existing studies in order to identify and discuss the factors conducive to making EHR support three dimensions of QM: clinical outcomes, managerial monitoring and cost-effectiveness. A narrative review of Web of Science, Cochrane, EBSCO, ProQuest, Scopus and three Nordic research databases. most studies do not specify the type of EHR examined. 39 studies were identified for analysis. 10 factors were found to be conducive to make EHR support QM. However, the contribution of EHR to the three specific dimensions of QM varied substantially. Most studies (29) included clinical outcomes. However, only half of these reported EHR to have a positive impact. Almost all the studies (36) dealt with the ability of EHR to enhance managerial monitoring of clinical activities, the far majority of which showed a positive relationship. Finally, only five dealt with cost-effectiveness of which two found positive effects. The findings resonates well with previous reviews, though two factors making EHR support QM seem new, namely: political goals and strategies, and integration of guidelines for clinical conduct. Lacking EHR type specification and diversity in study method imply that there is a strong need for further research on the factors that may make EHR may support QM. Copyright © 2017 Elsevier B.V. All rights reserved.

77 FR 8217 - Evaluating the Usability of Electronic Health Record (EHR) Systems

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-14

... interface design guidelines for EHRs. Manufacturers interested in participating in this research will be... the usability of health information technology (HIT) systems. NIST research is designed to: (1... develop performance-oriented user interface design guidelines for EHRs, and a framework for assessing the...

A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research.

PubMed

Zhao, Lei; Lim Choi Keung, Sarah N; Taweel, Adel; Tyler, Edward; Ogunsina, Ire; Rossiter, James; Delaney, Brendan C; Peterson, Kevin A; Hobbs, F D Richard; Arvanitis, Theodoros N

2012-01-01

Heterogeneous data models and coding schemes for electronic health records present challenges for automated search across distributed data sources. This paper describes a loosely coupled software framework based on the terminology controlled approach to enable the interoperation between the search interface and heterogeneous data sources. Software components interoperate via common terminology service and abstract criteria model so as to promote component reuse and incremental system evolution.

Sparse modeling of spatial environmental variables associated with asthma

PubMed Central

Chang, Timothy S.; Gangnon, Ronald E.; Page, C. David; Buckingham, William R.; Tandias, Aman; Cowan, Kelly J.; Tomasallo, Carrie D.; Arndt, Brian G.; Hanrahan, Lawrence P.; Guilbert, Theresa W.

2014-01-01

Geographically distributed environmental factors influence the burden of diseases such as asthma. Our objective was to identify sparse environmental variables associated with asthma diagnosis gathered from a large electronic health record (EHR) dataset while controlling for spatial variation. An EHR dataset from the University of Wisconsin’s Family Medicine, Internal Medicine and Pediatrics Departments was obtained for 199,220 patients aged 5–50 years over a three-year period. Each patient’s home address was geocoded to one of 3,456 geographic census block groups. Over one thousand block group variables were obtained from a commercial database. We developed a Sparse Spatial Environmental Analysis (SASEA). Using this method, the environmental variables were first dimensionally reduced with sparse principal component analysis. Logistic thin plate regression spline modeling was then used to identify block group variables associated with asthma from sparse principal components. The addresses of patients from the EHR dataset were distributed throughout the majority of Wisconsin’s geography. Logistic thin plate regression spline modeling captured spatial variation of asthma. Four sparse principal components identified via model selection consisted of food at home, dog ownership, household size, and disposable income variables. In rural areas, dog ownership and renter occupied housing units from significant sparse principal components were associated with asthma. Our main contribution is the incorporation of sparsity in spatial modeling. SASEA sequentially added sparse principal components to Logistic thin plate regression spline modeling. This method allowed association of geographically distributed environmental factors with asthma using EHR and environmental datasets. SASEA can be applied to other diseases with environmental risk factors. PMID:25533437

Sparse modeling of spatial environmental variables associated with asthma.

PubMed

Chang, Timothy S; Gangnon, Ronald E; David Page, C; Buckingham, William R; Tandias, Aman; Cowan, Kelly J; Tomasallo, Carrie D; Arndt, Brian G; Hanrahan, Lawrence P; Guilbert, Theresa W

2015-02-01

Geographically distributed environmental factors influence the burden of diseases such as asthma. Our objective was to identify sparse environmental variables associated with asthma diagnosis gathered from a large electronic health record (EHR) dataset while controlling for spatial variation. An EHR dataset from the University of Wisconsin's Family Medicine, Internal Medicine and Pediatrics Departments was obtained for 199,220 patients aged 5-50years over a three-year period. Each patient's home address was geocoded to one of 3456 geographic census block groups. Over one thousand block group variables were obtained from a commercial database. We developed a Sparse Spatial Environmental Analysis (SASEA). Using this method, the environmental variables were first dimensionally reduced with sparse principal component analysis. Logistic thin plate regression spline modeling was then used to identify block group variables associated with asthma from sparse principal components. The addresses of patients from the EHR dataset were distributed throughout the majority of Wisconsin's geography. Logistic thin plate regression spline modeling captured spatial variation of asthma. Four sparse principal components identified via model selection consisted of food at home, dog ownership, household size, and disposable income variables. In rural areas, dog ownership and renter occupied housing units from significant sparse principal components were associated with asthma. Our main contribution is the incorporation of sparsity in spatial modeling. SASEA sequentially added sparse principal components to Logistic thin plate regression spline modeling. This method allowed association of geographically distributed environmental factors with asthma using EHR and environmental datasets. SASEA can be applied to other diseases with environmental risk factors. Copyright © 2014 Elsevier Inc. All rights reserved.

Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP

PubMed Central

Kaggal, Vinod C.; Elayavilli, Ravikumar Komandur; Mehrabi, Saeed; Pankratz, Joshua J.; Sohn, Sunghwan; Wang, Yanshan; Li, Dingcheng; Rastegar, Majid Mojarad; Murphy, Sean P.; Ross, Jason L.; Chaudhry, Rajeev; Buntrock, James D.; Liu, Hongfang

2016-01-01

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future. PMID:27385912

Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP.

PubMed

Kaggal, Vinod C; Elayavilli, Ravikumar Komandur; Mehrabi, Saeed; Pankratz, Joshua J; Sohn, Sunghwan; Wang, Yanshan; Li, Dingcheng; Rastegar, Majid Mojarad; Murphy, Sean P; Ross, Jason L; Chaudhry, Rajeev; Buntrock, James D; Liu, Hongfang

2016-01-01

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future.

Application of a large electronic health record database to study effects of air quality on mortality in a heart failure population

EPA Science Inventory

Background: Electronic health records (EHRs) are now a ubiquitous component of the US healthcare system and are attractive for secondary data analysis as they contain detailed and longitudinal clinical records on potentially millions of individuals. However, due to their relative...

A red-flag-based approach to risk management of EHR-related safety concerns.

PubMed

Sittig, Dean F; Singh, Hardeep

2013-01-01

Although electronic health records (EHRs) have a significant potential to improve patient safety, EHR-related safety concerns have begun to emerge. Based on 369 responses to a survey sent to the memberships of the American Society for Healthcare Risk Management and the American Health Lawyers Association and supplemented by our previous work in EHR-related patient safety, we identified the following common EHR-related safety concerns: (1) incorrect patient identification; (2) extended EHR unavailability (either planned or unplanned); (3) failure to heed a computer-generated warning or alert; (4) system-to-system interface errors; (5) failure to identify, find, or use the most recent patient data; (6) misunderstandings about time; (7) incorrect item selected from a list of items; and (8) open or incomplete orders. In this article, we present a "red-flag"-based approach that can be used by risk managers to identify potential EHR safety concerns in their institutions. An organization that routinely conducts EHR-related surveillance activities, such as the ones proposed here, can significantly reduce risks associated with EHR implementation and use. © 2013 American Society for Healthcare Risk Management of the American Hospital Association.

Systematic inquiry for design of health care information systems: an example of elicitation of the patient stakeholder perspective

PubMed Central

Eschler, Jordan; O’Leary, Katie; Kendall, Logan; Ralston, James D.; Pratt, Wanda

2017-01-01

The electronic health record (EHR) has evolved as a tool primarily dictated by the needs of health care clinicians and organizations, providing important functions supporting day to day work in health care. However, the EHR and supporting information systems contain the potential to incorporate patient workflows and tasks as well. Integrating patient needs into existing EHR and health management systems will require understanding of patients as direct stakeholders, necessitating observation and exploration of in situ EHR use by patients to envision new opportunities for future systems. In this paper, we describe the application of a theoretical framework (Vicente, 1999) to organize qualitative data during a multi-stage research study into patient engagement with EHRs. By using this method of systematic inquiry, we have more effectively elicited patient stakeholder needs and goals to inform the design of future health care information systems. PMID:29056874

Electronic health records: postadoption physician satisfaction and continued use.

PubMed

Wright, Edward; Marvel, Jon

2012-01-01

One goal of public-policy makers in general and health care managers in particular is the adoption and efficient utilization of electronic health record (EHR) systems throughout the health care industry. Consequently, this investigation focused on the effects of known antecedents of technology adoption on physician satisfaction with EHR technology and the continued use of such systems. The American Academy of Family Physicians provided support in the survey of 453 physicians regarding their satisfaction with their EHR use experience. A conceptual model merging technology adoption and computer user satisfaction models was tested using structural equation modeling. Results indicate that effort expectancy (ease of use) has the most substantive effect on physician satisfaction and the continued use of EHR systems. As such, health care managers should be especially sensitive to the user and computer interface of prospective EHR systems to avoid costly and disruptive system selection mistakes.

Text Mining for Precision Medicine: Bringing structure to EHRs and biomedical literature to understand genes and health

PubMed Central

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2018-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text — found in biomedical publications and clinical notes — is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine. PMID:27807747

Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.

PubMed

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2016-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next-generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text-found in biomedical publications and clinical notes-is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine.

Outcomes of Computerized Physician Order Entry in an Electronic Health Record After Implementation in an Outpatient Oncology Setting

PubMed Central

Harshberger, Cara A.; Harper, Abigail J.; Carro, George W.; Spath, Wayne E.; Hui, Wendy C.; Lawton, Jessica M.; Brockstein, Bruce E.

2011-01-01

Purpose: Computerized physician order entry (CPOE) in electronic health records (EHR) has been recognized as an important tool in optimal health care provision that can reduce errors and improve safety. The objective of this study is to describe documentation completeness and user satisfaction of medical charts before and after implementation of an outpatient oncology EHR/ CPOE system in a hospital-based outpatient cancer center within three treatment sites. Methods: This study is a retrospective chart review of 90 patients who received one of the following regimens between 1999 and 2006: FOLFOX, AC, carboplatin + paclitaxel, ABVD, cisplatin + etoposide, R-CHOP, and clinical trials. Documentation completeness scores were assigned to each chart based on the number of documented data points found out of the total data points assessed. EHR/CPOE documentation completeness was compared with completeness of paper charts orders of the same regimens. A user satisfaction survey of the paper chart and EHR/CPOE system was conducted among the physicians, nurses, and pharmacists who worked with both systems. Results: The mean percentage of identified data points successfully found in the EHR/CPOE charts was 93% versus 67% in the paper charts (P < .001). Regimen complexity did not alter the number of data points found. The survey response rate was 64%, and the results showed that satisfaction was statistically significant in favor of the EHR/CPOE system. Conclusion: Using EHR/CPOE systems improves completeness of medical record and chemotherapy order documentation and improves user satisfaction with the medical record system. EHR/CPOE requires constant vigilance and maintenance to optimize patient safety. PMID:22043187

Why sub-Saharan Africa lags in electronic health record adoption and possible strategies to increase its adoption in this region

PubMed Central

Odekunle, Florence Femi; Odekunle, Raphael Oluseun; Shankar, Srinivasan

2017-01-01

Poor health information system has been identified as a major challenge in the health-care system in many developing countries including sub-Saharan African countries. Electronic health record (EHR) has been shown as an important tool to improve access to patient information with attendance improved quality of care. However, EHR has not been widely implemented/adopted in sub-Saharan Africa. This study sought to identify factors that affect the adoption of an EHR in sub-Saharan Africa and strategies to improve its adoption in this region. A comprehensive literature search was conducted on three electronic databases: PubMed, Medline, and Google Scholar. Articles of interest were those published in English that contained information on factors that limit the adoption of an EHR as well as strategies that improve its adoption in sub-Saharan African countries. The available evidence indicated that there were many factors that hindered the widespread adoption of an EHR in sub-Saharan Africa. These were high costs of procurement and maintenance of the EHR system, lack of financial incentives and priorities, poor electricity supply and internet connectivity, and primary user’s limited computer skills. However, strategies such as implementation planning, financial supports, appropriate EHR system selection, training of primary users, and the adoption of the phased implementation process have been identified to facilitate the use of an EHR. Wide adoption of an EHR in sub-Saharan Africa region requires a lot more effort than what is assumed because of the current poor level of technological development, lack of required computer skills, and limited resources. PMID:29085270

Understanding Providers' Interaction with Graphical User Interface Pertaining to Clinical Document Usage in an Electronic Health Record System

ERIC Educational Resources Information Center

Rizvi, Rubina Fatima

2017-01-01

Despite high Electronic Health Record (EHR) system adoption rates by hospital and office-based practices, many users remain highly dissatisfied with the current state of EHRs. Sub-optimal EHR usability as a result of insufficient incorporation of User-Centered Design (UCD) approach during System Development Life Cycle process (SDLC) is considered…

Implementation of an Electronic Health Records System in a Small Clinic: The Viewpoint of Clinic Staff

ERIC Educational Resources Information Center

Carayon, Pascale; Smith, Paul; Hundt, Ann Schoofs; Kuruchittham, Vipat; Li, Qian

2009-01-01

In this study, we examined the implementation of an electronic health records (EHR) system in a small family practice clinic. We used three data collection instruments to evaluate user experience, work pattern changes, and organisational changes related to the implementation and use of the EHR system: (1) an EHR user survey, (2) interviews with…

A systematic literature review on security and privacy of electronic health record systems: technical perspectives.

PubMed

Rezaeibagha, Fatemeh; Win, Khin Than; Susilo, Willy

Even though many safeguards and policies for electronic health record (EHR) security have been implemented, barriers to the privacy and security protection of EHR systems persist. This article presents the results of a systematic literature review regarding frequently adopted security and privacy technical features of EHR systems. Our inclusion criteria were full articles that dealt with the security and privacy of technical implementations of EHR systems published in English in peer-reviewed journals and conference proceedings between 1998 and 2013; 55 selected studies were reviewed in detail. We analysed the review results using two International Organization for Standardization (ISO) standards (29100 and 27002) in order to consolidate the study findings. Using this process, we identified 13 features that are essential to security and privacy in EHRs. These included system and application access control, compliance with security requirements, interoperability, integration and sharing, consent and choice mechanism, policies and regulation, applicability and scalability and cryptography techniques. This review highlights the importance of technical features, including mandated access control policies and consent mechanisms, to provide patients' consent, scalability through proper architecture and frameworks, and interoperability of health information systems, to EHR security and privacy requirements.

The Evaluation of SEPAS National Project Based on Electronic Health Record System (EHRS) Coordinates in Iran.

PubMed

Asadi, Farkhondeh; Moghaddasi, Hamid; Rabiei, Reza; Rahimi, Forough; Mirshekarlou, Soheila Jahangiri

2015-12-01

Electronic Health Records (EHRs) are secure private lifetime records that can be shared by using interoperability standards between different organizations and units. These records are created by the productive system that is called EHR system. Implementing EHR systems has a number of advantages such as facilitating access to medical records, supporting patient care, and improving the quality of care and health care decisions. The project of electronic health record system in Iran, which is the goal of this study, is called SEPAS. With respect to the importance of EHR and EHR systems the researchers investigated the project from two perspectives: determining the coordinates of the project and how it evolved, and incorporating the coordinates of EHR system in this project. In this study two evaluation tools, a checklist and a questionnaire, were developed based on texts and reliable documentation. The questionnaire and the checklist were validated using content validity by receiving the experts' comments and the questionnaire's reliability was estimated through Test-retest(r =87%). Data were collected through study, observation, and interviews with experts and specialists of SEPAS project. This research showed that SEPAS project, like any other project, could be evaluated. It has some aims; steps, operational phases and certain start and end time, but all the resources and required facilities for the project have not been considered. Therefore it could not satisfy its specified objective and the useful and unique changes which are the other characteristics of any project have not been achieved. In addition, the findings of EHR system coordinates can be determined in 4 categories as Standards and rules, Telecommunication-Communication facilities, Computer equipment and facilities and Stakeholders. The findings indicated that SEPAS has the ability to use all standards of medical terminology and health classification systems in the case of Maksa approval (The reference health coding of Iran). ISO13606 was used as the main standard in this project. Regarding the telecommunication-communication facilities of the project, the findings showed that its link is restricted to health care centers which does not cover other institutions and organizations involved in public health. The final result showed that SEPAS is in the early stages of execution. And the full implementation of EHR needs the provision of the infrastructure of the National Health Information Network that is the same as EHR system.

Adoption of electronic health records and preparations for demonstrating meaningful use: an American Academy of Ophthalmology survey.

PubMed

Boland, Michael V; Chiang, Michael F; Lim, Michele C; Wedemeyer, Linda; Epley, K David; McCannel, Colin A; Silverstone, David E; Lum, Flora

2013-08-01

To assess the current state of electronic health record (EHR) use by ophthalmologists, including adoption rate, user satisfaction, functionality, benefits, barriers, and knowledge of meaningful use criteria. Population-based, cross-sectional study. A total of 492 members of the American Academy of Ophthalmology (AAO). A random sample of 1500 AAO members were selected on the basis of their practice location and solicited to participate in a study of EHR use, practice management, and image management system use. Participants completed the survey via the Internet, phone, or fax. The survey included questions about the adoption of EHRs, available functionality, benefits, barriers, satisfaction, and understanding of meaningful use criteria and health information technology concepts. Current adoption rate of EHRs, user satisfaction, benefits and barriers, and availability of EHR functionality. Overall, 32% of the practices surveyed had already implemented an EHR, 15% had implemented an EHR for some of their physicians or were in the process of implementation, and another 31% had plans to do so within 2 years. Among those with an EHR in their practice, 49% were satisfied or extremely satisfied with their system, 42% reported increased or stable overall productivity, 19% reported decreased or stable overall costs, and 55% would recommend an EHR to a fellow ophthalmologist. For those with an electronic image management system, only 15% had all devices integrated, 33% had images directly uploaded into their system, and 12% had electronic association of patient demographics with the image. The adoption of EHRs by ophthalmology practices more than doubled from 2007 to 2011. The satisfaction of ophthalmologists with their EHR and their perception of beneficial effects on productivity and costs were all lower in 2011 than in 2007. Knowledge about meaningful use is high, but the percentage of physicians actually receiving incentive payments is relatively low. Given the importance of imaging in ophthalmology, the shortcomings in current image management systems need to be addressed. The author(s) have no proprietary or commercial interest in any materials discussed in this article. Copyright © 2013 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

We are bitter, but we are better off: case study of the implementation of an electronic health record system into a mental health hospital in England

PubMed Central

2012-01-01

Background In contrast to the acute hospital sector, there have been relatively few implementations of integrated electronic health record (EHR) systems into specialist mental health settings. The National Programme for Information Technology (NPfIT) in England was the most expensive IT-based transformation of public services ever undertaken, which aimed amongst other things, to implement integrated EHR systems into mental health hospitals. This paper describes the arrival, the process of implementation, stakeholders’ experiences and the local consequences of the implementation of an EHR system into a mental health hospital. Methods Longitudinal, real-time, case study-based evaluation of the implementation and adoption of an EHR software (RiO) into an English mental health hospital known here as Beta. We conducted 48 in-depth interviews with a wide range of internal and external stakeholders, undertook 26 hours of on-site observations, and obtained 65 sets of relevant documents from various types relating to Beta. Analysis was both inductive and deductive, the latter being informed by the ‘sociotechnical changing’ theoretical framework. Results Many interviewees perceived the implementation of the EHR system as challenging and cumbersome. During the early stages of the implementation, some clinicians felt that using the software was time-consuming leading to the conclusion that the EHR was not fit for purpose. Most interviewees considered the chain of deployment of the EHR–which was imposed by NPfIT–as bureaucratic and obstructive, which restricted customization and as a result limited adoption and use. The low IT literacy among users at Beta was a further barrier to the implementation of the EHR. This along with inadequate training in using the EHR software led to resistance to the significant cultural and work environment changes initiated by EHR. Despite the many challenges, Beta achieved some early positive results. These included: the ability to check progress notes and monitor staff activities; improving quality of care as a result of real-time, more accurate and shared patient records across the hospital; and potentially improving the safety of care through increasing the legibility of the clinical record. Conclusions Notwithstanding what was seen as a turbulent, painful and troublesome implementation of the EHR system, Beta achieved some early clinical and managerial benefits from implementing EHRs. The ‘sociotechnical changing’ framework helped us go beyond the dichotomy of success versus failure, when conducting the evaluation and interpreting findings. Given the scope for continued development, there are good reasons, we argue, to scale up the intake of EHR systems by mental health care settings. Software customization and appropriate support are essential to work EHR out in such organizations. PMID:23272770

Generic screen representations for future-proof systems, is it possible? There is more to a GUI than meets the eye.

PubMed

van der Linden, Helma; Austin, Tony; Talmon, Jan

2009-09-01

Future-proof EHR systems must be capable of interpreting information structures for medical concepts that were not available at the build-time of the system. The two-model approach of CEN 13606/openEHR using archetypes achieves this by separating generic clinical knowledge from domain-related knowledge. The presentation of this information can either itself be generic, or require design time awareness of the domain knowledge being employed. To develop a Graphical User Interface (GUI) that would be capable of displaying previously unencountered clinical data structures in a meaningful way. Through "reasoning by analogy" we defined an approach for the representation and implementation of "presentational knowledge". A proof-of-concept implementation was built to validate its implementability and to test for unanticipated issues. A two-model approach to specifying and generating a screen representation for archetype-based information, inspired by the two-model approach of archetypes, was developed. There is a separation between software-related display knowledge and domain-related display knowledge and the toolkit is designed with the reuse of components in mind. The approach leads to a flexible GUI that can adapt not only to information structures that had not been predefined within the receiving system, but also to novel ways of displaying the information. We also found that, ideally, the openEHR Archetype Definition Language should receive minor adjustments to allow for generic binding.

Public and physician's expectations and ethical concerns about electronic health record: Benefits outweigh risks except for information security.

PubMed

Entzeridou, Eleni; Markopoulou, Evgenia; Mollaki, Vasiliki

2018-02-01

Electronic Health Record systems (EHRs) offer numerous benefits in health care but also pose certain risks. As we progress toward the implementation of EHRs, a more in-depth understanding of attitudes that influence overall levels of EHR support is required. To record public and physicians' awareness, expectations for, and ethical concerns about the use of EHRs. A convenience sample was surveyed for both the public and physicians. The Public's Questionnaire was distributed to the public in a printed and an online version. The Physicians' Questionnaire was distributed to physicians in an online version. The questionnaires requested demographic characteristics followed by close-ended questions enquiring about awareness, perceived impact, perceived risks, and ethical issues raised by EHR use. In total, 46% of the public and 91% of physicians were aware of EHRs. Physicians' and public opinions were comparable concerning the positive impact of EHRs on better, more effective, and faster decisions on the patients' health, on better coordination between hospitals/clinics and on quality and reduced cost of health care. However, physicians were concerned that an EHR system would be a burden for their finances, for their time concerning training on the system, for their everyday workload and workflow. The majority of the public generally agreed that they would worry about the possibility that a non-authorized, third party might gain access to their personal health information (48.8%), and that they would worry about future discriminations due to possible disclosure of their health information (48.8%). Most physicians disagreed that EHRs will disrupt the doctor-patient relationship (58.1%) but they would worry about the safety of their patients' information (53.1%). Overall, both the public and physicians were in favor of the implementation of an EHR system, evaluating that possible benefits are more important than possible risks. The majority of the public believed that physicians should have full access to an EHR (90.9%), whereas nursing staff, pharmacists, laboratory staff, and other healthcare professional should have partial access. The factors identified in the present study present actionable insights that may increase awareness about EHRs. The survey illustrates that both the public and physicians acknowledge the benefits and support EHRs on the condition that sufficient guarantees are provided about privacy and security. Copyright © 2017 Elsevier B.V. All rights reserved.

The business end of health information technology. Can a fully integrated electronic health record increase provider productivity in a large community practice?

PubMed

De Leon, Samantha; Connelly-Flores, Alison; Mostashari, Farzad; Shih, Sarah C

2010-01-01

Electronic health records (EHRs) are expected to transform and improve the way medicine is practiced. However, providers perceive many barriers toward implementing new health information technology. Specifically, they are most concerned about the potentially negative impact on their practice finances and productivity. This study compares the productivity of 75 providers at a large urban primary care practice from January 2005 to February 2009, before and after implementing an EHR system, using longitudinal mixed model analyses. While decreases in productivity were observed at the time the EHR system was implemented, most providers quickly recovered, showing increases in productivity per month shortly after EHR implementation. Overall, providers had significant productivity increases of 1.7% per month per provider from pre- to post-EHR adoption. The majority of the productivity gains occurred after the practice instituted a pay-for-performance program, enabled by the data capture of the EHRs. Coupled with pay-for-performance, EHRs can spur rapid gains in provider productivity.

Resilient Practices in Maintaining Safety of Health Information Technologies

PubMed Central

Ash, Joan S.; Sittig, Dean F.; Singh, Hardeep

2014-01-01

Electronic health record systems (EHRs) can improve safety and reliability of health care, but they can also introduce new vulnerabilities by failing to accommodate changes within a dynamic EHR-enabled health care system. Continuous assessment and improvement is thus essential for achieving resilience in EHR-enabled health care systems. Given the rapid adoption of EHRs by many organizations that are still early in their experiences with EHR safety, it is important to understand practices for maintaining resilience used by organizations with a track record of success in EHR use. We conducted interviews about safety practices with 56 key informants (including information technology managers, chief medical information officers, physicians, and patient safety officers) at two large health care systems recognized as leaders in EHR use. We identified 156 references to resilience-related practices from 41 informants. Framework analysis generated five categories of resilient practices: (a) sensitivity to dynamics and interdependencies affecting risks, (b) basic monitoring and responding practices, (c) management of practices and resources for monitoring and responding, (d) sensitivity to risks beyond the horizon, and (e) reflecting on risks with the safety and quality control process itself. The categories reflect three functions that facilitate resilience: reflection, transcending boundaries, and involving sharp-end practitioners in safety management. PMID:25866492

Rates, levels, and determinants of electronic health record system adoption: a study of hospitals in Riyadh, Saudi Arabia.

PubMed

Aldosari, Bakheet

2014-05-01

Outside a small number of OECD countries, little information exists regarding the rates, levels, and determinants of hospital electronic health record (EHR) system adoption. This study examines EHR system adoption in Riyadh, Saudi Arabia. Respondents from 22 hospitals were surveyed regarding the implementation, maintenance, and improvement phases of EHR system adoption. Thirty-seven items were graded on a three-point scale of preparedness/completion. Measured determinants included hospital size, level of care, ownership, and EHR system development team composition. Eleven of the hospitals had implemented fully functioning EHR systems, eight had systems in progress, and three had not adopted a system. Sixteen different systems were being used across the 19 adopting hospitals. Differential adoption levels were positively related to hospital size and negatively to the level of care (secondary versus tertiary). Hospital ownership (nonprofit versus private) and development team composition showed mixed effects depending on the particular adoption phase being considered. Adoption rates compare favourably with those reported from other countries and other districts in Saudi Arabia, but wide variations exist among hospitals in the levels of adoption of individual items. General weaknesses in the implementation phase concern the legacy of paper data systems, including document scanning and data conversion; in the maintenance phase concern updating/maintaining software; and in the improvement phase concern the communication and exchange of health information. This study is the first to investigate the level and determinants of EHR system adoption for public, other nonprofit, and private hospitals in Saudi Arabia. Wide interhospital variations in adoption bear implications for policy-making and funding intervention. Identified areas of weakness require action to increase the degree of adoption and usefulness of EHR systems. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Ten tips for successful electronic health records deployment.

PubMed

Gasch, Art

2012-01-01

As healthcare providers are increasingly compelled to adopt electronic health records (EHRs) and paper records migrate to electronic files provided to dozens of healthcare intermediaries, breeches of protected health information are skyrocketing, and so are dissatisfaction rates with EHR solutions. This article provides 10 practical tips to ensure a successful EHR system deployment an circumvent EHR land mines.

Benefits and drawbacks of electronic health record systems

PubMed Central

Menachemi, Nir; Collum, Taleah H

2011-01-01

The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 that was signed into law as part of the “stimulus package” represents the largest US initiative to date that is designed to encourage widespread use of electronic health records (EHRs). In light of the changes anticipated from this policy initiative, the purpose of this paper is to review and summarize the literature on the benefits and drawbacks of EHR systems. Much of the literature has focused on key EHR functionalities, including clinical decision support systems, computerized order entry systems, and health information exchange. Our paper describes the potential benefits of EHRs that include clinical outcomes (eg, improved quality, reduced medical errors), organizational outcomes (eg, financial and operational benefits), and societal outcomes (eg, improved ability to conduct research, improved population health, reduced costs). Despite these benefits, studies in the literature highlight drawbacks associated with EHRs, which include the high upfront acquisition costs, ongoing maintenance costs, and disruptions to workflows that contribute to temporary losses in productivity that are the result of learning a new system. Moreover, EHRs are associated with potential perceived privacy concerns among patients, which are further addressed legislatively in the HITECH Act. Overall, experts and policymakers believe that significant benefits to patients and society can be realized when EHRs are widely adopted and used in a “meaningful” way. PMID:22312227

Impact of an electronic health record operating room management system in ophthalmology on documentation time, surgical volume, and staffing.

PubMed

Sanders, David S; Read-Brown, Sarah; Tu, Daniel C; Lambert, William E; Choi, Dongseok; Almario, Bella M; Yackel, Thomas R; Brown, Anna S; Chiang, Michael F

2014-05-01

Although electronic health record (EHR) systems have potential benefits, such as improved safety and quality of care, most ophthalmology practices in the United States have not adopted these systems. Concerns persist regarding potential negative impacts on clinical workflow. In particular, the impact of EHR operating room (OR) management systems on clinical efficiency in the ophthalmic surgery setting is unknown. To determine the impact of an EHR OR management system on intraoperative nursing documentation time, surgical volume, and staffing requirements. For documentation time and circulating nurses per procedure, a prospective cohort design was used between January 10, 2012, and January 10, 2013. For surgical volume and overall staffing requirements, a case series design was used between January 29, 2011, and January 28, 2013. This study involved ophthalmic OR nurses (n = 13) and surgeons (n = 25) at an academic medical center. Electronic health record OR management system implementation. (1) Documentation time (percentage of operating time documenting [POTD], absolute documentation time in minutes), (2) surgical volume (procedures/time), and (3) staffing requirements (full-time equivalents, circulating nurses/procedure). Outcomes were measured during a baseline period when paper documentation was used and during the early (first 3 months) and late (4-12 months) periods after EHR implementation. There was a worsening in total POTD in the early EHR period (83%) vs paper baseline (41%) (P < .001). This improved to baseline levels by the late EHR period (46%, P = .28), although POTD in the cataract group remained worse than at baseline (64%, P < .001). There was a worsening in absolute mean documentation time in the early EHR period (16.7 minutes) vs paper baseline (7.5 minutes) (P < .001). This improved in the late EHR period (9.2 minutes) but remained worse than in the paper baseline (P < .001). While cataract procedures required more circulating nurses in the early EHR (mean, 1.9 nurses/procedure) and late EHR (mean, 1.5 nurses/procedure) periods than in the paper baseline (mean, 1.0 nurses/procedure) (P < .001), overall staffing requirements and surgical volume were not significantly different between the periods. Electronic health record OR management system implementation was associated with worsening of intraoperative nursing documentation time especially in shorter procedures. However, it is possible to implement an EHR OR management system without serious negative impacts on surgical volume and staffing requirements.

A Standards-Based Architecture Proposal for Integrating Patient mHealth Apps to Electronic Health Record Systems.

PubMed

Marceglia, S; Fontelo, P; Rossi, E; Ackerman, M J

2015-01-01

Mobile health Applications (mHealth Apps) are opening the way to patients' responsible and active involvement with their own healthcare management. However, apart from Apps allowing patient's access to their electronic health records (EHRs), mHealth Apps are currently developed as dedicated "island systems". Although much work has been done on patient's access to EHRs, transfer of information from mHealth Apps to EHR systems is still low. This study proposes a standards-based architecture that can be adopted by mHealth Apps to exchange information with EHRs to support better quality of care. Following the definition of requirements for the EHR/mHealth App information exchange recently proposed, and after reviewing current standards, we designed the architecture for EHR/mHealth App integration. Then, as a case study, we modeled a system based on the proposed architecture aimed to support home monitoring for congestive heart failure patients. We simulated such process using, on the EHR side, OpenMRS, an open source longitudinal EHR and, on the mHealth App side, the iOS platform. The integration architecture was based on the bi-directional exchange of standard documents (clinical document architecture rel2 - CDA2). In the process, the clinician "prescribes" the home monitoring procedures by creating a CDA2 prescription in the EHR that is sent, encrypted and de-identified, to the mHealth App to create the monitoring calendar. At the scheduled time, the App alerts the patient to start the monitoring. After the measurements are done, the App generates a structured CDA2-compliant monitoring report and sends it to the EHR, thus avoiding local storage. The proposed architecture, even if validated only in a simulation environment, represents a step forward in the integration of personal mHealth Apps into the larger health-IT ecosystem, allowing the bi-directional data exchange between patients and healthcare professionals, supporting the patient's engagement in self-management and self-care.

Avoiding fraud risks associated with EHRs.

PubMed

Helton, Jeffrey R

2010-07-01

Fraud associated with electronic health records (EHRs) generally falls into two categories: inappropriate billing by healthcare providers and inappropriate access by a system's users. A provider's EHR system requires controls to be of any significant help in detecting such fraudulent activity, or in gathering transactional evidence should such activity be identified. To protect against potential EHR-related healthcare fraud, providers should follow the recommendations established in 2007 by RTI International for the Office of the National Coordinator for Health Information Technology of the U.S. Department of Health and Human Services.

Electronic Immunization Alerts and Spillover Effects on Other Preventive Care.

PubMed

Kim, Julia M; Rivera, Maria; Persing, Nichole; Bundy, David G; Psoter, Kevin J; Ghazarian, Sharon R; Miller, Marlene R; Solomon, Barry S

2017-08-01

The impact of electronic health record (EHR) immunization clinical alert systems on the delivery of other preventive services remains unknown. We assessed for spillover effects of an EHR immunization alert on delivery of 6 other preventive services, in children 18 to 30 months of age needing immunizations. We conducted a secondary data analysis, with additional primary data collection, of a randomized, historically controlled trial to improve immunization rates with EHR alerts, in an urban, primary care clinic. No significant differences were found in screening for anemia, lead, development, nutrition, and injury prevention counseling in children prompting EHR immunization alerts (n = 129), compared with controls (n = 135). Significant increases in oral health screening in patients prompting EHR alerts (odds ratio = 4.8, 95% CI = 1.8-13.0) were likely due to practice changes over time. An EHR clinical alert system targeting immunizations did not have a spillover effect on the delivery of other preventive services.

Electronic health records implementation: an evaluation of information system impact and contingency factors.

PubMed

Nguyen, Lemai; Bellucci, Emilia; Nguyen, Linh Thuy

2014-11-01

This paper provides a review of EHR (electronic health record) implementations around the world and reports on findings including benefits and issues associated with EHR implementation. A systematic literature review was conducted from peer-reviewed scholarly journal publications from the last 10 years (2001-2011). The search was conducted using various publication collections including: Scopus, Embase, Informit, Medline, Proquest Health and Medical Complete. This paper reports on our analysis of previous empirical studies of EHR implementations. We analysed data based on an extension of DeLone and McLean's information system (IS) evaluation framework. The extended framework integrates DeLone and McLean's dimensions, including information quality, system quality, service quality, intention of use and usage, user satisfaction and net benefits, together with contingent dimensions, including systems development, implementation attributes and organisational aspects, as identified by Van der Meijden and colleagues. A mix of evidence-based positive and negative impacts of EHR was found across different evaluation dimensions. In addition, a number of contingent factors were found to contribute to successful implementation of EHR. This review does not include white papers or industry surveys, non-English papers, or those published outside the review time period. This review confirms the potential of this technology to aid patient care and clinical documentation; for example, in improved documentation quality, increased administration efficiency, as well as better quality, safety and coordination of care. Common negative impacts include changes to workflow and work disruption. Mixed observations were found on EHR quality, adoption and satisfaction. The review warns future implementers of EHR to carefully undertake the technology implementation exercise. The review also informs healthcare providers of contingent factors that potentially affect EHR development and implementation in an organisational setting. Our findings suggest a lack of socio-technical connectives between the clinician, the patient and the technology in developing and implementing EHR and future developments in patient-accessible EHR. In addition, a synthesis of DeLone and McLean's framework and Van der Meijden and colleagues' contingent factors has been found useful in comprehensively understanding and evaluating EHR implementations. Crown Copyright © 2014. Published by Elsevier Ireland Ltd. All rights reserved.

Market effects on electronic health record adoption by physicians.

PubMed

Abdolrasulnia, Maziar; Menachemi, Nir; Shewchuk, Richard M; Ginter, Peter M; Duncan, W Jack; Brooks, Robert G

2008-01-01

Despite the advantages of electronic health record (EHR) systems, the adoption of these systems has been slow among community-based physicians. Current studies have examined organizational and personal barriers to adoption; however, the influence of market characteristics has not been studied. The purpose of this study was to measure the effects of market characteristics on EHR adoption by physicians. Generalized hierarchal linear modeling was used to analyze EHR survey data from Florida which were combined with data from the Area Resource File and the Florida Office of Insurance Regulation. The main outcome variable was self-reported use of EHR by physicians. A total of 2,926 physicians from practice sizes of 20 or less were included in the sample. Twenty-one percent (n = 613) indicated that they personally and routinely use an EHR system in their practice. Physicians located in counties with higher physician concentration were found to be more likely to adopt EHRs. For every one-unit increase in nonfederal physicians per 10,000 in the county, there was a 2.0% increase in likelihood of EHR adoption by physicians (odds ratio = 1.02, confidence interval = 1.00-1.03). Health maintenance organization penetration rate and poverty level were not found to be significantly related to EHR adoption. However, practice size, years in practice, Medicare payer mix, and measures of technology readiness were found to independently influence physician adoption. Market factors play an important role in the diffusion of EHRs in small medical practices. Policy makers interested in furthering the adoption of EHRs must consider strategies that would enhance the confidence of users as well as provide financial support in areas with the highest concentration of small medical practices and Medicare beneficiaries. Health care leaders should be cognizant of the market forces that enable or constrain the adoption of EHR among their practices and those of their competitors.

Electronic health systems: challenges faced by hospital-based providers.

PubMed

Agno, Christina Farala; Guo, Kristina L

2013-01-01

The purpose of this article is to discuss specific challenges faced by hospitals adopting the use of electronic medical records and implementing electronic health record (EHR) systems. Challenges include user and information technology support; ease of technical use and software interface capabilities; compliance; and financial, legal, workforce training, and development issues. Electronic health records are essential to preventing medical errors, increasing consumer trust and use of the health system, and improving quality and overall efficiency. Government efforts are focused on ways to accelerate the adoption and use of EHRs as a means of facilitating data sharing, protecting health information privacy and security, quickly identifying emerging public health threats, and reducing medical errors and health care costs and increasing quality of care. This article will discuss physician and nonphysician staff training before, during, and after implementation; the effective use of EHR systems' technical features; the selection of a capable and secure EHR system; and the development of collaborative system implementation. Strategies that are necessary to help health care providers achieve successful implementation of EHR systems will be addressed.

Security and privacy in electronic health records: a systematic literature review.

PubMed

Fernández-Alemán, José Luis; Señor, Inmaculada Carrión; Lozoya, Pedro Ángel Oliver; Toval, Ambrosio

2013-06-01

To report the results of a systematic literature review concerning the security and privacy of electronic health record (EHR) systems. Original articles written in English found in MEDLINE, ACM Digital Library, Wiley InterScience, IEEE Digital Library, Science@Direct, MetaPress, ERIC, CINAHL and Trip Database. Only those articles dealing with the security and privacy of EHR systems. The extraction of 775 articles using a predefined search string, the outcome of which was reviewed by three authors and checked by a fourth. A total of 49 articles were selected, of which 26 used standards or regulations related to the privacy and security of EHR data. The most widely used regulations are the Health Insurance Portability and Accountability Act (HIPAA) and the European Data Protection Directive 95/46/EC. We found 23 articles that used symmetric key and/or asymmetric key schemes and 13 articles that employed the pseudo anonymity technique in EHR systems. A total of 11 articles propose the use of a digital signature scheme based on PKI (Public Key Infrastructure) and 13 articles propose a login/password (seven of them combined with a digital certificate or PIN) for authentication. The preferred access control model appears to be Role-Based Access Control (RBAC), since it is used in 27 studies. Ten of these studies discuss who should define the EHR systems' roles. Eleven studies discuss who should provide access to EHR data: patients or health entities. Sixteen of the articles reviewed indicate that it is necessary to override defined access policies in the case of an emergency. In 25 articles an audit-log of the system is produced. Only four studies mention that system users and/or health staff should be trained in security and privacy. Recent years have witnessed the design of standards and the promulgation of directives concerning security and privacy in EHR systems. However, more work should be done to adopt these regulations and to deploy secure EHR systems. Copyright © 2013 Elsevier Inc. All rights reserved.

Developing a theoretical model and questionnaire survey instrument to measure the success of electronic health records in residential aged care

PubMed Central

Yu, Ping; Qian, Siyu

2018-01-01

Electronic health records (EHR) are introduced into healthcare organizations worldwide to improve patient safety, healthcare quality and efficiency. A rigorous evaluation of this technology is important to reduce potential negative effects on patient and staff, to provide decision makers with accurate information for system improvement and to ensure return on investment. Therefore, this study develops a theoretical model and questionnaire survey instrument to assess the success of organizational EHR in routine use from the viewpoint of nursing staff in residential aged care homes. The proposed research model incorporates six variables in the reformulated DeLone and McLean information systems success model: system quality, information quality, service quality, use, user satisfaction and net benefits. Two variables training and self-efficacy were also incorporated into the model. A questionnaire survey instrument was designed to measure the eight variables in the model. After a pilot test, the measurement scale was used to collect data from 243 nursing staff members in 10 residential aged care homes belonging to three management groups in Australia. Partial least squares path modeling was conducted to validate the model. The validated EHR systems success model predicts the impact of the four antecedent variables—training, self-efficacy, system quality and information quality—on the net benefits, the indicator of EHR systems success, through the intermittent variables use and user satisfaction. A 24-item measurement scale was developed to quantitatively evaluate the performance of an EHR system. The parsimonious EHR systems success model and the measurement scale can be used to benchmark EHR systems success across organizations and units and over time. PMID:29315323

Developing a theoretical model and questionnaire survey instrument to measure the success of electronic health records in residential aged care.

PubMed

Yu, Ping; Qian, Siyu

2018-01-01

Electronic health records (EHR) are introduced into healthcare organizations worldwide to improve patient safety, healthcare quality and efficiency. A rigorous evaluation of this technology is important to reduce potential negative effects on patient and staff, to provide decision makers with accurate information for system improvement and to ensure return on investment. Therefore, this study develops a theoretical model and questionnaire survey instrument to assess the success of organizational EHR in routine use from the viewpoint of nursing staff in residential aged care homes. The proposed research model incorporates six variables in the reformulated DeLone and McLean information systems success model: system quality, information quality, service quality, use, user satisfaction and net benefits. Two variables training and self-efficacy were also incorporated into the model. A questionnaire survey instrument was designed to measure the eight variables in the model. After a pilot test, the measurement scale was used to collect data from 243 nursing staff members in 10 residential aged care homes belonging to three management groups in Australia. Partial least squares path modeling was conducted to validate the model. The validated EHR systems success model predicts the impact of the four antecedent variables-training, self-efficacy, system quality and information quality-on the net benefits, the indicator of EHR systems success, through the intermittent variables use and user satisfaction. A 24-item measurement scale was developed to quantitatively evaluate the performance of an EHR system. The parsimonious EHR systems success model and the measurement scale can be used to benchmark EHR systems success across organizations and units and over time.

EHR adoption among doctors who treat the elderly.

PubMed

Yeager, Valerie A; Menachemi, Nir; Brooks, Robert G

2010-12-01

The purpose of this study is to examine Electronic Health Record (EHR) adoption among Florida doctors who treat the elderly. This analysis contributes to the EHR adoption literature by determining if doctors who disproportionately treat the elderly differ from their counterparts with respect to the utilization of an important quality-enhancing health information technology application. This study is based on a primary survey of a large, statewide sample of doctors practising in outpatient settings in Florida. Logistic regression analysis was used to determine whether doctors who treat a high volume of elderly (HVE) patients were different with respect to EHR adoption. Our analyses included responses from 1724 doctors. In multivariate analyses controlling for doctor age, training, computer sophistication, practice size and practice setting, HVE doctors were significantly less likely to adopt EHR. Specifically, compared with their counterparts, HVE doctors were observed to be 26.7% less likely to be utilizing an EHR system (OR=0.733, 95% CI 0.547-0.982). We also found that doctor age is negatively related to EHR adoption, and practice size and doctor computer savvy-ness is positively associated. Despite the fact that EHR adoption has improved in recent years, doctors in Florida who serve the elderly are less likely to adopt EHRs. As long as HVE doctors are adopting EHR systems at slower rates, the elderly patients treated by these doctors will be at a disadvantage with respect to potential benefits offered by this technology. © 2010 Blackwell Publishing Ltd.

User-composable Electronic Health Record Improves Efficiency of Clinician Data Viewing for Patient Case Appraisal: A Mixed-Methods Study.

PubMed

Senathirajah, Yalini; Kaufman, David; Bakken, Suzanne

2016-01-01

Challenges in the design of electronic health records (EHRs) include designing usable systems that must meet the complex, rapidly changing, and high-stakes information needs of clinicians. The ability to move and assemble elements together on the same page has significant human-computer interaction (HCI) and efficiency advantages, and can mitigate the problems of negotiating multiple fixed screens and the associated cognitive burdens. We compare MedWISE-a novel EHR that supports user-composable displays-with a conventional EHR in terms of the number of repeat views of data elements for patient case appraisal. The study used mixed-methods for examination of clinical data viewing in four patient cases. The study compared use of an experimental user-composable EHR with use of a conventional EHR, for case appraisal. Eleven clinicians used a user-composable EHR in a case appraisal task in the laboratory setting. This was compared with log file analysis of the same patient cases in the conventional EHR. We investigated the number of repeat views of the same clinical information during a session and across these two contexts, and compared them using Fisher's exact test. There was a significant difference (p<.0001) in proportion of cases with repeat data element viewing between the user-composable EHR (14.6 percent) and conventional EHR (72.6 percent). Users of conventional EHRs repeatedly viewed the same information elements in the same session, as revealed by log files. Our findings are consistent with the hypothesis that conventional systems require that the user view many screens and remember information between screens, causing the user to forget information and to have to access the information a second time. Other mechanisms (such as reduction in navigation over a population of users due to interface sharing, and information selection) may also contribute to increased efficiency in the experimental system. Systems that allow a composable approach that enables the user to gather together on the same screen any desired information elements may confer cognitive support benefits that can increase productive use of systems by reducing fragmented information. By reducing cognitive overload, it can also enhance the user experience.

openEHR Based Systems and the General Data Protection Regulation (GDPR).

PubMed

Sousa, Mariana; Ferreira, Duarte; Santos-Pereira, Cátia; Bacelar, Gustavo; Frade, Samuel; Pestana, Olívia; Cruz-Correia, Ricardo

2018-01-01

The concerns about privacy and personal data protection resulted in reforms of the existing legislation in European Union (EU). The General Data Protection Regulation (GDPR) aims to reform the existing measures on the topic of personal data protection of the European Union citizens, with a strong input on the rights and freedoms of people and in the establishment of rules for the processing of personal data. OpenEHR is a standard that embodies many principles of interoperable and secure software for electronic health records. This work aims to understand to what extent the openEHR standard can be considered a solution for the requirements needed by GDPR. A list of requirements for a Hospital Information Systems (HIS) compliant with GDPR and an identification of openEHR specifications was made. The requirements were categorized and compared with the specifications. The requirements identified for the systems were matched with the openEHR specifications, which result in 16 requirements matched with openEHR. All the specifications identified matched at least one requirement. OpenEHR is a solution for the development of HIS that reinforce privacy and personal data protection, ensuring that they are contemplated in the system development. The institutions can secure that their Eletronic Health Record are compliant with GDPR while safeguarding the medical data quality and, as a result, the healthcare delivery.

Perioperative nurses' attitudes toward the electronic health record.

PubMed

Yontz, Laura S; Zinn, Jennifer L; Schumacher, Edward J

2015-02-01

The adoption of an electronic health record (EHR) is mandated under current health care legislation reform. The EHR provides data that are patient centered and improves patient safety. There are limited data; however, regarding the attitudes of perioperative nurses toward the use of the EHR. The purpose of this project was to identify perioperative nurses' attitudes toward the use of the EHR. Quantitative descriptive survey was used to determine attitudes toward the electronic health record. Perioperative nurses in a southeastern health system completed an online survey to determine their attitudes toward the EHR in providing patient care. Overall, respondents felt the EHR was beneficial, did not add to the workload, improved documentation, and would not eliminate any nursing jobs. Nursing acceptance and the utilization of the EHR are necessary for the successful integration of an EHR and to support the goal of patient-centered care. Identification of attitudes and potential barriers of perioperative nurses in using the EHR will improve patient safety, communication, reduce costs, and empower those who implement an EHR. Copyright © 2015 American Society of PeriAnesthesia Nurses. Published by Elsevier Inc. All rights reserved.

Electronic Health Record (EHR) Organizational Change: Explaining Resistance Through Profession, Organizational Experience, and EHR Communication Quality.

PubMed

Barrett, Ashley K

2018-04-01

The American Recovery and Reinvestment Act passed by the U.S. government in 2009 mandates that all healthcare organizations adopt a certified electronic health record (EHR) system by 2015. Failure to comply will result in Medicare reimbursement penalties, which steadily increase with each year of delinquency. There are several repercussions of this seemingly top-down, rule-bound organizational change-one of which is employee resistance. Given the penalties for violating EHR meaningful use standards are ongoing, resistance to this mandate presents a serious issue for healthcare organizations. This study surveyed 345 employees in one healthcare organization that recently implemented an EHR. Analysis of variance results offer theoretical and pragmatic contributions by demonstrating physicians, nurses, and employees with more experience in their organization are the most resistant to EHR change. The job characteristics model is used to explain these findings. Hierarchical regression analyses also demonstrate the quality of communication surrounding EHR implementation-from both formal and informal sources-is negatively associated with EHR resistance and positively associated with perceived EHR implementation success and EHR's perceived relative advantage.

Macro influencers of electronic health records adoption.

PubMed

Raghavan, Vijay V; Chinta, Ravi; Zhirkin, Nikita

2015-01-01

While adoption rates for electronic health records (EHRs) have improved, the reasons for significant geographical differences in EHR adoption within the USA have remained unclear. To understand the reasons for these variations across states, we have compiled from secondary sources a profile of different states within the USA, based on macroeconomic and macro health-environment factors. Regression analyses were performed using these indicator factors on EHR adoption. The results showed that internet usage and literacy are significantly associated with certain measures of EHR adoption. Income level was not significantly associated with EHR adoption. Per capita patient days (a proxy for healthcare need intensity within a state) is negatively correlated with EHR adoption rate. Health insurance coverage is positively correlated with EHR adoption rate. Older physicians (>60 years) tend to adopt EHR systems less than their younger counterparts. These findings have policy implications on formulating regionally focused incentive programs.

Estimating Wisconsin asthma prevalence using clinical electronic health records and public health data.

PubMed

Tomasallo, Carrie D; Hanrahan, Lawrence P; Tandias, Aman; Chang, Timothy S; Cowan, Kelly J; Guilbert, Theresa W

2014-01-01

We compared a statewide telephone health survey with electronic health record (EHR) data from a large Wisconsin health system to estimate asthma prevalence in Wisconsin. We developed frequency tables and logistic regression models using Wisconsin Behavioral Risk Factor Surveillance System and University of Wisconsin primary care clinic data. We compared adjusted odds ratios (AORs) from each model. Between 2007 and 2009, the EHR database contained 376,000 patients (30,000 with asthma), and 23,000 (1850 with asthma) responded to the Behavioral Risk Factor Surveillance System telephone survey. AORs for asthma were similar in magnitude and direction for the majority of covariates, including gender, age, and race/ethnicity, between survey and EHR models. The EHR data had greater statistical power to detect associations than did survey data, especially in pediatric and ethnic populations, because of larger sample sizes. EHRs can be used to estimate asthma prevalence in Wisconsin adults and children. EHR data may improve public health chronic disease surveillance using high-quality data at the local level to better identify areas of disparity and risk factors and guide education and health care interventions.

A data types profile suitable for use with ISO EN 13606.

PubMed

Sun, Shanghua; Austin, Tony; Kalra, Dipak

2012-12-01

ISO EN 13606 is a five part International Standard specifying how Electronic Healthcare Record (EHR) information should be communicated between different EHR systems and repositories. Part 1 of the standard defines an information model for representing the EHR information itself, including the representation of types of data value. A later International Standard, ISO 21090:2010, defines a comprehensive set of models for data types needed by all health IT systems. This latter standard is vast, and duplicates some of the functions already handled by ISO EN 13606 part 1. A profile (sub-set) of ISO 21090 would therefore be expected to provide EHR system vendors with a more specially tailored set of data types to implement and avoid the risk of providing more than one modelling option for representing the information properties. This paper describes the process and design decisions made for developing a data types profile for EHR interoperability.

Which components of health information technology will drive financial value?

PubMed

Kern, Lisa M; Wilcox, Adam; Shapiro, Jason; Dhopeshwarkar, Rina V; Kaushal, Rainu

2012-08-01

The financial effects of electronic health records (EHRs) and health information exchange (HIE) are largely unknown, despite unprecedented federal incentives for their use. We sought to understand which components of EHRs and HIE are most likely to drive financial savings in the ambulatory, inpatient, and emergency department settings. Framework development and a national expert panel. We searched the literature to identify functionalities enabled by EHRs and HIE across the 3 healthcare settings. We rated each of 233 functionality-setting combinations on their likelihood of having a positive financial effect. We validated the top-scoring functionalities with a panel of 28 national experts, and we compared the high-scoring functionalities with Stage 1 meaningful use criteria. We identified 54 high-scoring functionality- setting combinations, 27 for EHRs and 27 for HIE. Examples of high-scoring functionalities included providing alerts for expensive medications, providing alerts for redundant lab orders, sending and receiving imaging reports, and enabling structured medication reconciliation. Of the 54 high-scoring functionalities, 25 (46%) are represented in Stage 1 meaningful use. Many of the functionalities not yet represented in meaningful use correspond with functionalities that focus directly on healthcare utilization and costs rather than on healthcare quality per se. This work can inform the development and selection of future meaningful use measures; inform implementation efforts, as clinicians and hospitals choose from among a "menu" of measures for meaningful use; and inform evaluation efforts, as investigators seek to measure the actual financial impact of EHRs and HIE.

Comprehensive electronic medical record implementation levels not associated with 30-day all-cause readmissions within Medicare beneficiaries with heart failure.

PubMed

Patterson, M E; Marken, P; Zhong, Y; Simon, S D; Ketcherside, W

2014-01-01

Regulatory standards for 30-day readmissions incentivize hospitals to improve quality of care. Implementing comprehensive electronic health record systems potentially decreases readmission rates by improving medication reconciliation at discharge, demonstrating the additional benefits of inpatient EHRs beyond improved safety and decreased errors. To compare 30-day all-cause readmission incidence rates within Medicare fee-for-service with heart failure discharged from hospitals with full implementation levels of comprehensive EHR systems versus those without. This retrospective cohort study uses data from the American Hospital Association Health IT survey and Medicare Part A claims to measure associations between hospital EHR implementation levels and beneficiary readmissions. Multivariable Cox regressions estimate the hazard ratio of 30-day all-cause readmissions within beneficiaries discharged from hospitals implementing comprehensive EHRs versus those without, controlling for beneficiary health status and hospital organizational factors. Propensity scores are used to account for selection bias. The proportion of heart failure patients with 30-day all-cause readmissions was 30%, 29%, and 32% for those discharged from hospitals with full, some, and no comprehensive EHR systems. Heart failure patients discharged from hospitals with fully implemented comprehensive EHRs compared to those with no comprehensive EHR systems had equivalent 30-day readmission incidence rates (HR = 0.97, 95% CI 0.73 - 1.3). Implementation of comprehensive electronic health record systems does not necessarily improve a hospital's ability to decrease 30-day readmission rates. Improving the efficiency of post-acute care will require more coordination of information systems between inpatient and ambulatory providers.

A Document-Based EHR System That Controls the Disclosure of Clinical Documents Using an Access Control List File Based on the HL7 CDA Header.

PubMed

Takeda, Toshihiro; Ueda, Kanayo; Nakagawa, Akito; Manabe, Shirou; Okada, Katsuki; Mihara, Naoki; Matsumura, Yasushi

2017-01-01

Electronic health record (EHR) systems are necessary for the sharing of medical information between care delivery organizations (CDOs). We developed a document-based EHR system in which all of the PDF documents that are stored in our electronic medical record system can be disclosed to selected target CDOs. An access control list (ACL) file was designed based on the HL7 CDA header to manage the information that is disclosed.

Guide to the NITRD Program FY 2004-FY 2005. Supplement to the President’s Budget for FY 2005

DTIC Science & Technology

2004-12-01

electronic medical records systems . At the core of such systems is the concept of a secure, patient-centered electronic health record ( EHR ) that: 1...support the development of an NHII that includes an Electronic Health Record System ( EHRS ). The EHRS will be a longitudinal collection of electronic... health information for and about persons. It will allow electronic access to person- and population-level information by authorized users. The system

Taming the EHR (Electronic Health Record) - There is Hope

PubMed Central

DiAngi, YT; Longhurst, CA; Payne, TH

2016-01-01

With increasing diffusion of EHR technology over the last half decade, clinician burnout is rising. As healthcare is a complex and highly regulated field, the rapid and mass adoption of EHR technology has created disruption for highly skilled workers such as clinicians. Although, much has been written about dissatisfaction with the EHR (electronic health record), a paucity of immediate solutions exists in the literature. This article suggests three actionable steps health systems and clinicians can make to expedite gains from and mitigate the effect of the EHR on clinical practice. PMID:27830215

Public health nurse perceptions of Omaha System data visualization.

PubMed

Lee, Seonah; Kim, Era; Monsen, Karen A

2015-10-01

Electronic health records (EHRs) provide many benefits related to the storage, deployment, and retrieval of large amounts of patient data. However, EHRs have not fully met the need to reuse data for decision making on follow-up care plans. Visualization offers new ways to present health data, especially in EHRs. Well-designed data visualization allows clinicians to communicate information efficiently and effectively, contributing to improved interpretation of clinical data and better patient care monitoring and decision making. Public health nurse (PHN) perceptions of Omaha System data visualization prototypes for use in EHRs have not been evaluated. To visualize PHN-generated Omaha System data and assess PHN perceptions regarding the visual validity, helpfulness, usefulness, and importance of the visualizations, including interactive functionality. Time-oriented visualization for problems and outcomes and Matrix visualization for problems and interventions were developed using PHN-generated Omaha System data to help PHNs consume data and plan care at the point of care. Eleven PHNs evaluated prototype visualizations. Overall PHNs response to visualizations was positive, and feedback for improvement was provided. This study demonstrated the potential for using visualization techniques within EHRs to summarize Omaha System patient data for clinicians. Further research is needed to improve and refine these visualizations and assess the potential to incorporate visualizations within clinical EHRs. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

The Benefits and Challenges of an Interfaced Electronic Health Record and Laboratory Information System: Effects on Laboratory Processes.

PubMed

Petrides, Athena K; Bixho, Ida; Goonan, Ellen M; Bates, David W; Shaykevich, Shimon; Lipsitz, Stuart R; Landman, Adam B; Tanasijevic, Milenko J; Melanson, Stacy E F

2017-03-01

- A recent government regulation incentivizes implementation of an electronic health record (EHR) with computerized order entry and structured results display. Many institutions have also chosen to interface their EHR with their laboratory information system (LIS). - To determine the impact of an interfaced EHR-LIS on laboratory processes. - We analyzed several different processes before and after implementation of an interfaced EHR-LIS: the turnaround time, the number of stat specimens received, venipunctures per patient per day, preanalytic errors in phlebotomy, the number of add-on tests using a new electronic process, and the number of wrong test codes ordered. Data were gathered through the LIS and/or EHR. - The turnaround time for potassium and hematocrit decreased significantly (P = .047 and P = .004, respectively). The number of stat orders also decreased significantly, from 40% to 7% for potassium and hematocrit, respectively (P < .001 for both). Even though the average number of inpatient venipunctures per day increased from 1.38 to 1.62 (P < .001), the average number of preanalytic errors per month decreased from 2.24 to 0.16 per 1000 specimens (P < .001). Overall there was a 16% increase in add-on tests. The number of wrong test codes ordered was high and it was challenging for providers to correctly order some common tests. - An interfaced EHR-LIS significantly improved within-laboratory turnaround time and decreased stat requests and preanalytic phlebotomy errors. Despite increasing the number of add-on requests, an electronic add-on process increased efficiency and improved provider satisfaction. Laboratories implementing an interfaced EHR-LIS should be cautious of its effects on test ordering and patient venipunctures per day.

A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data.

PubMed

Delussu, Giovanni; Lianas, Luca; Frexia, Francesca; Zanetti, Gianluigi

2016-01-01

This work presents a scalable data access layer, called PyEHR, designed to support the implementation of data management systems for secondary use of structured heterogeneous biomedical and clinical data. PyEHR adopts the openEHR's formalisms to guarantee the decoupling of data descriptions from implementation details and exploits structure indexing to accelerate searches. Data persistence is guaranteed by a driver layer with a common driver interface. Interfaces for two NoSQL Database Management Systems are already implemented: MongoDB and Elasticsearch. We evaluated the scalability of PyEHR experimentally through two types of tests, called "Constant Load" and "Constant Number of Records", with queries of increasing complexity on synthetic datasets of ten million records each, containing very complex openEHR archetype structures, distributed on up to ten computing nodes.

An HL7/CDA Framework for the Design and Deployment of Telemedicine Services

DTIC Science & Technology

2001-10-25

schemes and prescription databases. Furthermore, interoperability with the Electronic Health Re- cord ( EHR ) facilitates automatic retrieval of relevant...local EHR system or the integrated electronic health record (I- EHR ) [9], which indexes all medical contacts of a patient in the regional net- work...suspected medical problem. Interoperability with middleware services of the HII and other data sources such as the local EHR sys- tem affects

Secretaries' role in EHR Documentation and the Implications of Establishing a Structured EHR System.

PubMed

Johansen, Monika Alise; Pedersen, Åse-Merete; Ellingsen, Gunnar

2015-01-01

Secretaries play an important quality assurance role in today's medical record production. This study aimed to identify quality assurance tasks that a future system cannot easily compensate for when developing a new structured EHR in which the physicians do the writing themselves. The study identified two tasks, which we suggest should also be performed by secretaries in the future.

Strategizing EHR use to achieve patient-centered care in exam rooms: a qualitative study on primary care providers

PubMed Central

Zhang, Jing; Ashfaq, Shazia; Bell, Kristin; Calvitti, Alan; Farber, Neil J; Gabuzda, Mark T; Gray, Barbara; Liu, Lin; Rick, Steven; Street, Richard L; Zheng, Kai; Zuest, Danielle; Agha, Zia

2016-01-01

Objective Electronic health records (EHRs) have great potential to improve quality of care. However, their use may diminish “patient-centeredness” in exam rooms by distracting the healthcare provider from focusing on direct patient interaction. The authors conducted a qualitative interview study to understand the magnitude of this issue, and the strategies that primary care providers devised to mitigate the unintended adverse effect associated with EHR use. Methods and Materials Semi-structured interviews were conducted with 21 healthcare providers at 4 Veterans Affairs (VAs) outpatient primary care clinics in San Diego County. Data analysis was performed using the grounded theory approach. Results The results show that providers face demands from both patients and the EHR system. To cope with these demands, and to provide patient-centered care, providers attempt to perform EHR work outside of patient encounters and create templates to streamline documentation work. Providers also attempt to use the EHR to engage patients, establish patient buy-in for EHR use, and multitask between communicating with patients and using the EHR. Discussion and Conclusion This study has uncovered the challenges that primary care providers face in integrating the EHR into their work practice, and the strategies they use to overcome these challenges in order to maintain patient-centered care. These findings illuminate the importance of developing “best” practices to improve patient-centered care in today’s highly “wired” health environment. These findings also show that more user-centered EHR design is needed to improve system usability. PMID:26568605

Identifying Barriers in the Use of Electronic Health Records in Hawai‘i

PubMed Central

Hamamura, Faith D; Hughes, Kira

2017-01-01

Hawai‘i faces unique challenges to Electronic Health Record (EHR) adoption due to physician shortages, a widespread distribution of Medically Underserved Areas and Populations (MUA/P), and a higher percentage of small independent practices. However, research on EHR adoption in Hawai‘i is limited. To address this gap, this article examines the current state of EHR in Hawai‘i, the barriers to adoption, and the future of Health Information Technology (HIT) initiatives to improve the health of Hawai‘i's people. Eight focus groups were conducted on Lana‘i, Maui, Hawai‘i Island, Kaua‘i, Moloka‘i, and O‘ahu. In these groups, a total of 51 diverse health professionals were asked about the functionality of EHR systems, barriers to use, facilitators of use, and what EHRs would look like in a perfect world. Responses were summarized and analyzed based on constant comparative analysis techniques. Responses were then clustered into thirteen themes: system compatibility, loss of productivity, poor interface, IT support, hardware/software, patient factors, education/training, noise in the system, safety, data quality concerns, quality metrics, workflow, and malpractice concerns. Results show that every group mentioned system compatibility. In response to these findings, the Health eNet Community Health Record initiative — which allows providers web-based access to patient health information from the patient's provider network— was developed as a step toward alleviating some of the barriers to sharing information between different EHRs. The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) legislation will introduce a new payment model in 2017 that is partially based on EHR utilization. Therefore, more research should be done to understand EHR adoption and how this ruling will affect providers in Hawai‘i. PMID:28435756

Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems

PubMed Central

Sittig, Dean F; Ash, Joan S; Feblowitz, Joshua; Meltzer, Seth; McMullen, Carmit; Guappone, Ken; Carpenter, Jim; Richardson, Joshua; Simonaitis, Linas; Evans, R Scott; Nichol, W Paul; Middleton, Blackford

2011-01-01

Background Clinical decision support (CDS) is a valuable tool for improving healthcare quality and lowering costs. However, there is no comprehensive taxonomy of types of CDS and there has been limited research on the availability of various CDS tools across current electronic health record (EHR) systems. Objective To develop and validate a taxonomy of front-end CDS tools and to assess support for these tools in major commercial and internally developed EHRs. Study design and methods We used a modified Delphi approach with a panel of 11 decision support experts to develop a taxonomy of 53 front-end CDS tools. Based on this taxonomy, a survey on CDS tools was sent to a purposive sample of commercial EHR vendors (n=9) and leading healthcare institutions with internally developed state-of-the-art EHRs (n=4). Results Responses were received from all healthcare institutions and 7 of 9 EHR vendors (response rate: 85%). All 53 types of CDS tools identified in the taxonomy were found in at least one surveyed EHR system, but only 8 functions were present in all EHRs. Medication dosing support and order facilitators were the most commonly available classes of decision support, while expert systems (eg, diagnostic decision support, ventilator management suggestions) were the least common. Conclusion We developed and validated a comprehensive taxonomy of front-end CDS tools. A subsequent survey of commercial EHR vendors and leading healthcare institutions revealed a small core set of common CDS tools, but identified significant variability in the remainder of clinical decision support content. PMID:21415065

Identifying Barriers in the Use of Electronic Health Records in Hawai'i.

PubMed

Hamamura, Faith D; Withy, Kelley; Hughes, Kira

2017-03-01

Hawai'i faces unique challenges to Electronic Health Record (EHR) adoption due to physician shortages, a widespread distribution of Medically Underserved Areas and Populations (MUA/P), and a higher percentage of small independent practices. However, research on EHR adoption in Hawai'i is limited. To address this gap, this article examines the current state of EHR in Hawai'i, the barriers to adoption, and the future of Health Information Technology (HIT) initiatives to improve the health of Hawai'i's people. Eight focus groups were conducted on Lana'i, Maui, Hawai'i Island, Kaua'i, Moloka'i, and O'ahu. In these groups, a total of 51 diverse health professionals were asked about the functionality of EHR systems, barriers to use, facilitators of use, and what EHRs would look like in a perfect world. Responses were summarized and analyzed based on constant comparative analysis techniques. Responses were then clustered into thirteen themes: system compatibility, loss of productivity, poor interface, IT support, hardware/software, patient factors, education/training, noise in the system, safety, data quality concerns, quality metrics, workflow, and malpractice concerns. Results show that every group mentioned system compatibility. In response to these findings, the Health eNet Community Health Record initiative - which allows providers web-based access to patient health information from the patient's provider network- was developed as a step toward alleviating some of the barriers to sharing information between different EHRs. The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) legislation will introduce a new payment model in 2017 that is partially based on EHR utilization. Therefore, more research should be done to understand EHR adoption and how this ruling will affect providers in Hawai'i.

Usability Testing of Two Ambulatory EHR Navigators.

PubMed

Hultman, Gretchen; Marquard, Jenna; Arsoniadis, Elliot; Mink, Pamela; Rizvi, Rubina; Ramer, Tim; Khairat, Saif; Fickau, Keri; Melton, Genevieve B

2016-01-01

Despite widespread electronic health record (EHR) adoption, poor EHR system usability continues to be a significant barrier to effective system use for end users. One key to addressing usability problems is to employ user testing and user-centered design. To understand if redesigning an EHR-based navigation tool with clinician input improved user performance and satisfaction. A usability evaluation was conducted to compare two versions of a redesigned ambulatory navigator. Participants completed tasks for five patient cases using the navigators, while employing a think-aloud protocol. The tasks were based on Meaningful Use (MU) requirements. The version of navigator did not affect perceived workload, and time to complete tasks was longer in the redesigned navigator. A relatively small portion of navigator content was used to complete the MU-related tasks, though navigation patterns were highly variable across participants for both navigators. Preferences for EHR navigation structures appeared to be individualized. This study demonstrates the importance of EHR usability assessments to evaluate group and individual performance of different interfaces and preferences for each design.

Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study.

PubMed

Dewey, Frederick E; Murray, Michael F; Overton, John D; Habegger, Lukas; Leader, Joseph B; Fetterolf, Samantha N; O'Dushlaine, Colm; Van Hout, Cristopher V; Staples, Jeffrey; Gonzaga-Jauregui, Claudia; Metpally, Raghu; Pendergrass, Sarah A; Giovanni, Monica A; Kirchner, H Lester; Balasubramanian, Suganthi; Abul-Husn, Noura S; Hartzel, Dustin N; Lavage, Daniel R; Kost, Korey A; Packer, Jonathan S; Lopez, Alexander E; Penn, John; Mukherjee, Semanti; Gosalia, Nehal; Kanagaraj, Manoj; Li, Alexander H; Mitnaul, Lyndon J; Adams, Lance J; Person, Thomas N; Praveen, Kavita; Marcketta, Anthony; Lebo, Matthew S; Austin-Tse, Christina A; Mason-Suares, Heather M; Bruse, Shannon; Mellis, Scott; Phillips, Robert; Stahl, Neil; Murphy, Andrew; Economides, Aris; Skelding, Kimberly A; Still, Christopher D; Elmore, James R; Borecki, Ingrid B; Yancopoulos, George D; Davis, F Daniel; Faucett, William A; Gottesman, Omri; Ritchie, Marylyn D; Shuldiner, Alan R; Reid, Jeffrey G; Ledbetter, David H; Baras, Aris; Carey, David J

2016-12-23

The DiscovEHR collaboration between the Regeneron Genetics Center and Geisinger Health System couples high-throughput sequencing to an integrated health care system using longitudinal electronic health records (EHRs). We sequenced the exomes of 50,726 adult participants in the DiscovEHR study to identify ~4.2 million rare single-nucleotide variants and insertion/deletion events, of which ~176,000 are predicted to result in a loss of gene function. Linking these data to EHR-derived clinical phenotypes, we find clinical associations supporting therapeutic targets, including genes encoding drug targets for lipid lowering, and identify previously unidentified rare alleles associated with lipid levels and other blood level traits. About 3.5% of individuals harbor deleterious variants in 76 clinically actionable genes. The DiscovEHR data set provides a blueprint for large-scale precision medicine initiatives and genomics-guided therapeutic discovery. Copyright © 2016, American Association for the Advancement of Science.

EHR implementation in South Africa: how do we get it right?

PubMed

Yogeswaran, Parimalaranie; Wright, Graham

2010-01-01

In an environment of expanding demand on the health care system to provide equitable, accessible and safe health care, usage of information communication technology is one of the strategies identified to fulfil such expectations. Electronic Health Record (EHR) is an important tool towards achieving better health care using such technology, although, across the world EHR implementation has experienced a high failure rate. Nevertheless South Africa has made a strategic decision to implement EHR system in the public health sector. An evaluation toolkit was developed, to measure the state of readiness of health institutions in South Africa in implementing EHR based on Kaplan and Norton's work on Balanced Score Card (BSC), and the subsequent variant model developed by Protti. A Critical Success Factor (CSF) scorecard to assess the state of readiness and a Balanced Score Card matrix to be used as a strategic framework was developed. These tools were validated using critiques by a panel of experts. The toolkit developed has the potential to assist the organization towards a better EHR implementation path.

Facilitating Ambulatory Electronic Health Record System Implementation: Evidence from a Qualitative Study

PubMed Central

Hefner, Jennifer; Robbins, Julie; Huerta, Timothy R.

2013-01-01

Background. Ambulatory care practices have increasing interest in leveraging the capabilities of electronic health record (EHR) systems, but little information is available documenting how organizations have successfully implemented these systems. Objective. To characterize elements of successful electronic health record (EHR) system implementation and to synthesize the key informants' perspectives about successful implementation practices. Methods. Key informant interviews and focus groups were conducted with a purposive sample of individuals from US healthcare organizations identified for their success with ambulatory EHR implementation. Rigorous qualitative data analyses used both deductive and inductive methods. Results. Participants identified personal and system-related barriers, at both the individual and organization levels, including poor computer skills, productivity losses, resistance to change, and EHR system failure. Implementation success was reportedly facilitated by careful planning and consistent communication throughout distinct stages of the implementation process. A significant element of successful implementation was an emphasis on optimization, both during “go-live” and, subsequently, when users had more experience with the system. Conclusion. Successful EHR implementation requires both detailed planning and clear mechanisms to deal with unforeseen or unintended consequences. Focusing on user buy-in early and including plans for optimization can facilitate greater success. PMID:24228257

Challenges in using electronic health record data for CER: experience of 4 learning organizations and solutions applied.

PubMed

Bayley, K Bruce; Belnap, Tom; Savitz, Lucy; Masica, Andrew L; Shah, Nilay; Fleming, Neil S

2013-08-01

To document the strengths and challenges of using electronic health records (EHRs) for comparative effectiveness research (CER). A replicated case study of comparative effectiveness in hypertension treatment was conducted across 4 health systems, with instructions to extract data and document problems encountered using a specified list of required data elements. Researchers at each health system documented successes and challenges, and suggested solutions for addressing challenges. Data challenges fell into 5 categories: missing data, erroneous data, uninterpretable data, inconsistencies among providers and over time, and data stored in noncoded text notes. Suggested strategies to address these issues include data validation steps, use of surrogate markers, natural language processing, and statistical techniques. A number of EHR issues can hamper the extraction of valid data for cross-health system comparative effectiveness studies. Our case example cautions against a blind reliance on EHR data as a single definitive data source. Nevertheless, EHR data are superior to administrative or claims data alone, and are cheaper and timelier than clinical trials or manual chart reviews. All 4 participating health systems are pursuing pathways to more effectively use EHR data for CER.A partnership between clinicians, researchers, and information technology specialists is encouraged as a way to capitalize on the wealth of information contained in the EHR. Future developments in both technology and care delivery hold promise for improvement in the ability to use EHR data for CER.

The impact of electronic health record use on physician productivity.

PubMed

Adler-Milstein, Julia; Huckman, Robert S

2013-11-01

To examine the impact of the degree of electronic health record (EHR) use and delegation of EHR tasks on clinician productivity in ambulatory settings. We examined EHR use in primary care practices that implemented a web-based EHR from athenahealth (n = 42) over 3 years (695 practice-month observations). Practices were predominantly small and spread throughout the country. Data came from athenahealth practice management system and EHR task logs. We developed monthly measures of EHR use and delegation to support staff from task logs. Productivity was measured using work relative value units (RVUs). Using fixed effects models, we assessed the independent impacts on productivity of EHR use and delegation. We then explored the interaction between these 2 strategies and the role of practice size. Greater EHR use and greater delegation were independently associated with higher levels of productivity. An increase in EHR use of 1 standard deviation resulted in a 5.3% increase in RVUs per clinician workday; an increase in delegation of EHR tasks of 1 standard deviation resulted in an 11.0% increase in RVUs per clinician workday (P <.05 for both). Further, EHR use and delegation had a positive joint impact on productivity in large practices (coefficient, 0.058; P <.05), but a negative joint impact on productivity in small practices (coefficient, -0.142; P <.01). Clinicians in practices that increased EHR use and delegated EHR tasks were more productive, but practice size determined whether the 2 strategies were complements or substitutes.

Simulated electronic health record (Sim-EHR) curriculum: teaching EHR skills and use of the EHR for disease management and prevention.

PubMed

Milano, Christina E; Hardman, Joseph A; Plesiu, Adeline; Rdesinski, Rebecca E; Biagioli, Frances E

2014-03-01

Electronic health records (EHRs) can improve many aspects of patient care, yet few formal EHR curricula exist to teach optimal use to students and other trainees. The Simulated EHR (Sim-EHR) curriculum was introduced in January 2011 at Oregon Health & Science University (OHSU) to provide learners with a safe hands-on environment in which to apply evidence-based guidelines while learning EHR skills. Using an EHR training platform identical to the OHSU EHR system, learners review and correct a simulated medical chart for a complex virtual patient with chronic diseases and years of fragmented care. They write orders and prescriptions, create an evidence-based plan of care for indicated disease prevention and management, and review their work in a small-group setting. Third-year students complete the Sim-EHR curriculum as part of the required family medicine clerkship; their chart work is assessed using a rubric tied to the curriculum's general and specific objectives. As of January 2014, 406 third-year OHSU medical students, on campus or at remote clerkship sites, and 21 OHSU internal medicine interns had completed simulated charts.In this article, the authors describe the development and implementation of the Sim-EHR curriculum, with a focus on use of the curriculum in the family medicine clerkship. They also share preliminary findings and lessons learned. They suggest that the Sim-EHR curriculum is an effective, interactive method for providing learners with EHR skills education while demonstrating how a well-organized chart helps ensure safe, efficient, and quality patient care.

MedlinePlus Connect: Linking Patient Portals and Electronic Health Records to Health Information

MedlinePlus

... Patient portals, patient health record (PHR) systems, and electronic health record (EHR) systems can use MedlinePlus Connect ... patient portal, patient health record (PHR) system, or electronic health record (EHR) system sends a problem, medication, ...

Electronic health record - public health (EHR-PH) system prototype for interoperability in 21st century healthcare systems.

PubMed

Orlova, Anna O; Dunnagan, Mark; Finitzo, Terese; Higgins, Michael; Watkins, Todd; Tien, Allen; Beales, Steven

2005-01-01

Information exchange, enabled by computable interoperability, is the key to many of the initiatives underway including the development of Regional Health Information Exchanges, Regional Health Information Organizations, and the National Health Information Network. These initiatives must include public health as a full partner in the emerging transformation of our nation's healthcare system through the adoption and use of information technology. An electronic health record - public health (EHR-PH)system prototype was developed to demonstrate the feasibility of electronic data transfer from a health care provider, i.e. hospital or ambulatory care settings, to multiple customized public health systems which include a Newborn Metabolic Screening Registry, a Newborn Hearing Screening Registry, an Immunization Registry and a Communicable Disease Registry, using HL7 messaging standards. Our EHR-PH system prototype can be considered a distributed EHR-based RHIE/RHIO model - a principal element for a potential technical architecture for a NHIN.

Openness of patients' reporting with use of electronic records: psychiatric clinicians' views

PubMed Central

Blackford, Jennifer Urbano; Rosenbloom, S Trent; Seidel, Sandra; Clayton, Ellen Wright; Dilts, David M; Finder, Stuart G

2010-01-01

Objectives Improvements in electronic health record (EHR) system development will require an understanding of psychiatric clinicians' views on EHR system acceptability, including effects on psychotherapy communications, data-recording behaviors, data accessibility versus security and privacy, data quality and clarity, communications with medical colleagues, and stigma. Design Multidisciplinary development of a survey instrument targeting psychiatric clinicians who recently switched to EHR system use, focus group testing, data analysis, and data reliability testing. Measurements Survey of 120 university-based, outpatient mental health clinicians, with 56 (47%) responding, conducted 18 months after transition from a paper to an EHR system. Results Factor analysis gave nine item groupings that overlapped strongly with five a priori domains. Respondents both praised and criticized the EHR system. A strong majority (81%) felt that open therapeutic communications were preserved. Regarding data quality, content, and privacy, clinicians (63%) were less willing to record highly confidential information and disagreed (83%) with including their own psychiatric records among routinely accessed EHR systems. Limitations single time point; single academic medical center clinic setting; modest sample size; lack of prior instrument validation; survey conducted in 2005. Conclusions In an academic medical center clinic, the presence of electronic records was not seen as a dramatic impediment to therapeutic communications. Concerns regarding privacy and data security were significant, and may contribute to reluctances to adopt electronic records in other settings. Further study of clinicians' views and use patterns may be helpful in guiding development and deployment of electronic records systems. PMID:20064802

Creating a foundation for implementing an electronic health records (EHR)-integrated Social Knowledge Networking (SKN) system on medication reconciliation.

PubMed

Rangachari, P; Dellsperger, K C; Fallaw, D; Davis, I; Sumner, M; Ray, W; Fiedler, S; Nguyen, T; Rethemeyer, R

2018-04-01

In fall 2016, Augusta University received a two-year grant from AHRQ, to implement a Social Knowledge Networking (SKN) system for enabling its health system, AU-Health, to progress from "limited use" of EHR Medication Reconciliation (MedRec) Technology, to "meaningful use." Phase 1 sought to identify a comprehensive set of issues related to EHR MedRec encountered by practitioners at AU-Health. These efforts helped develop a Reporting Tool , which, along with a Discussion Tool , was incorporated into the AU-Health EHR, at the end of Phase 1. Phase 2 (currently underway), comprises a 52-week pilot of the EHR-integrated SKN system in outpatient and inpatient medicine units. The purpose of this paper is to describe the methods and results of Phase 1. Phase 1 utilized an exploratory mixed-method approach, involving two rounds of data collection. This included 15 individual interviews followed by a survey of 200 practitioners, i.e., physicians, nurses, and pharmacists, based in the outpatient and inpatient medicine service at AU Health. Thematic analysis of interviews identified 55 issue-items related to EHR MedRec under 9 issue-categories. The survey sought practitioners' importance-rating of all issue-items identified from interviews. A total of 127 (63%) survey responses were received. Factor analysis served to validate the following 6 of the 9 issue-categories, all of which, were rated "Important" or higher (on average), by over 70% of all respondents: 1) Care-Coordination (CCI); 2) Patient-Education (PEI); 3) Ownership-and-Accountability (OAI); 4) Processes-of-Care (PCI); 5) IT-Related (ITRI); and 6) Workforce-Training (WTI). Significance-testing of importance-rating by professional affiliation revealed no statistically significant differences for CCI and PEI; and some statistically significant differences for OAI, PCI, ITRI, and WTI. There were two key gleanings from the issues related to EHR MedRec unearthed by this study: 1) there was an absence of shared understanding among practitioners, of the value of EHR MedRec in promoting patient safety, which contributed to workarounds, and suboptimal use of the EHR MedRec system; and 2) there was a socio-technical dimension to many of the issues, creating an added layer of complexity. These gleanings in turn, provide insights into best practices for managing both clinical transitions-of-care in the EHR MedRec process; and socio-technical challenges encountered in EHR MedRec implementation.

Creating a foundation for implementing an electronic health records (EHR)-integrated Social Knowledge Networking (SKN) system on medication reconciliation

PubMed Central

Rangachari, P.; Dellsperger, K.C; Fallaw, D.; Davis, I.; Sumner, M.; Ray, W.; Fiedler, S.; Nguyen, T.; Rethemeyer, R.

2018-01-01

Background In fall 2016, Augusta University received a two-year grant from AHRQ, to implement a Social Knowledge Networking (SKN) system for enabling its health system, AU-Health, to progress from “limited use” of EHR Medication Reconciliation (MedRec) Technology, to “meaningful use.” Phase 1 sought to identify a comprehensive set of issues related to EHR MedRec encountered by practitioners at AU-Health. These efforts helped develop a Reporting Tool, which, along with a Discussion Tool, was incorporated into the AU-Health EHR, at the end of Phase 1. Phase 2 (currently underway), comprises a 52-week pilot of the EHR-integrated SKN system in outpatient and inpatient medicine units. The purpose of this paper is to describe the methods and results of Phase 1. Methods Phase 1 utilized an exploratory mixed-method approach, involving two rounds of data collection. This included 15 individual interviews followed by a survey of 200 practitioners, i.e., physicians, nurses, and pharmacists, based in the outpatient and inpatient medicine service at AU Health. Results Thematic analysis of interviews identified 55 issue-items related to EHR MedRec under 9 issue-categories. The survey sought practitioners’ importance-rating of all issue-items identified from interviews. A total of 127 (63%) survey responses were received. Factor analysis served to validate the following 6 of the 9 issue-categories, all of which, were rated “Important” or higher (on average), by over 70% of all respondents: 1) Care-Coordination (CCI); 2) Patient-Education (PEI); 3) Ownership-and-Accountability (OAI); 4) Processes-of-Care (PCI); 5) IT-Related (ITRI); and 6) Workforce-Training (WTI). Significance-testing of importance-rating by professional affiliation revealed no statistically significant differences for CCI and PEI; and some statistically significant differences for OAI, PCI, ITRI, and WTI. Conclusion There were two key gleanings from the issues related to EHR MedRec unearthed by this study: 1) there was an absence of shared understanding among practitioners, of the value of EHR MedRec in promoting patient safety, which contributed to workarounds, and suboptimal use of the EHR MedRec system; and 2) there was a socio-technical dimension to many of the issues, creating an added layer of complexity. These gleanings in turn, provide insights into best practices for managing both clinical transitions-of-care in the EHR MedRec process; and socio-technical challenges encountered in EHR MedRec implementation. PMID:29682132

Estimating Wisconsin Asthma Prevalence Using Clinical Electronic Health Records and Public Health Data

PubMed Central

Tomasallo, Carrie D.; Hanrahan, Lawrence P.; Tandias, Aman; Chang, Timothy S.; Cowan, Kelly J.

2014-01-01

Objectives. We compared a statewide telephone health survey with electronic health record (EHR) data from a large Wisconsin health system to estimate asthma prevalence in Wisconsin. Methods. We developed frequency tables and logistic regression models using Wisconsin Behavioral Risk Factor Surveillance System and University of Wisconsin primary care clinic data. We compared adjusted odds ratios (AORs) from each model. Results. Between 2007 and 2009, the EHR database contained 376 000 patients (30 000 with asthma), and 23 000 (1850 with asthma) responded to the Behavioral Risk Factor Surveillance System telephone survey. AORs for asthma were similar in magnitude and direction for the majority of covariates, including gender, age, and race/ethnicity, between survey and EHR models. The EHR data had greater statistical power to detect associations than did survey data, especially in pediatric and ethnic populations, because of larger sample sizes. Conclusions. EHRs can be used to estimate asthma prevalence in Wisconsin adults and children. EHR data may improve public health chronic disease surveillance using high-quality data at the local level to better identify areas of disparity and risk factors and guide education and health care interventions. PMID:24228643

User-composable Electronic Health Record Improves Efficiency of Clinician Data Viewing for Patient Case Appraisal: A Mixed-Methods Study

PubMed Central

Senathirajah, Yalini; Kaufman, David; Bakken, Suzanne

2016-01-01

Background: Challenges in the design of electronic health records (EHRs) include designing usable systems that must meet the complex, rapidly changing, and high-stakes information needs of clinicians. The ability to move and assemble elements together on the same page has significant human-computer interaction (HCI) and efficiency advantages, and can mitigate the problems of negotiating multiple fixed screens and the associated cognitive burdens. Objective: We compare MedWISE—a novel EHR that supports user-composable displays—with a conventional EHR in terms of the number of repeat views of data elements for patient case appraisal. Design and Methods: The study used mixed-methods for examination of clinical data viewing in four patient cases. The study compared use of an experimental user-composable EHR with use of a conventional EHR, for case appraisal. Eleven clinicians used a user-composable EHR in a case appraisal task in the laboratory setting. This was compared with log file analysis of the same patient cases in the conventional EHR. We investigated the number of repeat views of the same clinical information during a session and across these two contexts, and compared them using Fisher’s exact test. Results: There was a significant difference (p<.0001) in proportion of cases with repeat data element viewing between the user-composable EHR (14.6 percent) and conventional EHR (72.6 percent). Discussion and Conclusion: Users of conventional EHRs repeatedly viewed the same information elements in the same session, as revealed by log files. Our findings are consistent with the hypothesis that conventional systems require that the user view many screens and remember information between screens, causing the user to forget information and to have to access the information a second time. Other mechanisms (such as reduction in navigation over a population of users due to interface sharing, and information selection) may also contribute to increased efficiency in the experimental system. Systems that allow a composable approach that enables the user to gather together on the same screen any desired information elements may confer cognitive support benefits that can increase productive use of systems by reducing fragmented information. By reducing cognitive overload, it can also enhance the user experience. PMID:27195306

Electronic Health Record Challenges, Workarounds, and Solutions Observed in Practices Integrating Behavioral Health and Primary Care.

PubMed

Cifuentes, Maribel; Davis, Melinda; Fernald, Doug; Gunn, Rose; Dickinson, Perry; Cohen, Deborah J

2015-01-01

This article describes the electronic health record (EHR)-related experiences of practices striving to integrate behavioral health and primary care using tailored, evidenced-based strategies from 2012 to 2014; and the challenges, workarounds and initial health information technology (HIT) solutions that emerged during implementation. This was an observational, cross-case comparative study of 11 diverse practices, including 8 primary care clinics and 3 community mental health centers focused on the implementation of integrated care. Practice characteristics (eg, practice ownership, federal designation, geographic area, provider composition, EHR system, and patient panel characteristics) were collected using a practice information survey and analyzed to report descriptive information. A multidisciplinary team used a grounded theory approach to analyze program documents, field notes from practice observation visits, online diaries, and semistructured interviews. Eight primary care practices used a single EHR and 3 practices used 2 different EHRs, 1 to document behavioral health and 1 to document primary care information. Practices experienced common challenges with their EHRs' capabilities to 1) document and track relevant behavioral health and physical health information, 2) support communication and coordination of care among integrated teams, and 3) exchange information with tablet devices and other EHRs. Practices developed workarounds in response to these challenges: double documentation and duplicate data entry, scanning and transporting documents, reliance on patient or clinician recall for inaccessible EHR information, and use of freestanding tracking systems. As practices gained experience with integration, they began to move beyond workarounds to more permanent HIT solutions ranging in complexity from customized EHR templates, EHR upgrades, and unified EHRs. Integrating behavioral health and primary care further burdens EHRs. Vendors, in cooperation with clinicians, should intentionally design EHR products that support integrated care delivery functions, such as data documentation and reporting to support tracking patients with emotional and behavioral problems over time and settings, integrated teams working from shared care plans, template-driven documentation for common behavioral health conditions such as depression, and improved registry functionality and interoperability. This work will require financial support and cooperative efforts among clinicians, EHR vendors, practice assistance organizations, regulators, standards setters, and workforce educators. © Copyright 2015 by the American Board of Family Medicine.

The Impact of Electronic Health Records on Risk Management of Information Systems in Australian Residential Aged Care Homes.

PubMed

Jiang, Tao; Yu, Ping; Hailey, David; Ma, Jun; Yang, Jie

2016-09-01

To obtain indications of the influence of electronic health records (EHR) in managing risks and meeting information system accreditation standard in Australian residential aged care (RAC) homes. The hypothesis to be tested is that the RAC homes using EHR have better performance in meeting information system standards in aged care accreditation than their counterparts only using paper records for information management. Content analysis of aged care accreditation reports from the Aged Care Standards and Accreditation Agency produced between April 2011 and December 2013. Items identified included types of information systems, compliance with accreditation standards, and indicators of failure to meet an expected outcome for information systems. The Chi-square test was used to identify difference between the RAC homes that used EHR systems and those that used paper records in not meeting aged care accreditation standards. 1,031 (37.4%) of 2,754 RAC homes had adopted EHR systems. Although the proportion of homes that met all accreditation standards was significantly higher for those with EHR than for homes with paper records, only 13 RAC homes did not meet one or more expected outcomes. 12 used paper records and nine of these failed the expected outcome for information systems. The overall contribution of EHR to meeting aged care accreditation standard in Australia was very small. Risk indicators for not meeting information system standard were no access to accurate and appropriate information, failure in monitoring mechanisms, not reporting clinical incidents, insufficient recording of residents' clinical changes, not providing accurate care plans, and communication processes failure. The study has provided indications that use of EHR provides small, yet significant advantages for RAC homes in Australia in managing risks for information management and in meeting accreditation requirements. The implication of the study for introducing technology innovation in RAC in Australia is discussed.

Communication Patterns in the Perioperative Environment During Epic Electronic Health Record System Implementation.

PubMed

Friend, Tynan H; Jennings, Samantha J; Levine, Wilton C

2017-02-01

In April 2016, Massachusetts General Hospital (MGH) went live with the Epic electronic health records (EHR) system, replacing a variety of EHRs that previously existed in different departments throughout the hospital. At the time of implementation, the Vocera® Badge Communication System, a wireless hands-free communication device distributed to perioperative team members, had increased perioperative communication flow and efficiency. As a quality improvement effort to better understand communication patterns during an EHR go-live, we monitored our Vocera call volume and user volume before, during and after our go-live. We noticed that call volume and user volume significantly increased during our immediate go-live period and quickly returned to baseline levels. We also noticed that call volume increased during periods of unplanned EHR downtime long after our immediate go-live period. When planning the implementation of a new EHR, leadership must plan for and support this critical communication need at the time of the go-live and must also be aware of these needs during unplanned downtime.

A socio-technical analytical framework on the EHR-organizational innovation interplay: Insights from a public hospital in Greece.

PubMed

Emmanouilidou, Maria

2015-01-01

The healthcare sector globally is confronted with increasing internal and external pressures that urge for a radical reform of health systems' status quo. The role of technological innovations such as Electronic Health Records (EHR) is recognized as instrumental in this transition process as it is expected to accelerate organizational innovations. This is why the widespread uptake of EHR systems is a top priority in the global healthcare agenda. The successful co-deployment though of EHR systems and organizational innovations within the context of secondary healthcare institutions is a complex and multifaceted issue. Existing research in the field has made little progress thus emphasizing the need for further research contribution that will incorporate a holistic perspective. This paper presents insights about the EHR-organizational innovation interplay from a public hospital in Greece into a socio-technical analytical framework providing a multilevel set of action points for the eHealth roadmap with worldwide relevance.

Missing clinical and behavioral health data in a large electronic health record (EHR) system.

PubMed

Madden, Jeanne M; Lakoma, Matthew D; Rusinak, Donna; Lu, Christine Y; Soumerai, Stephen B

2016-11-01

Recent massive investment in electronic health records (EHRs) was predicated on the assumption of improved patient safety, research capacity, and cost savings. However, most US health systems and health records are fragmented and do not share patient information. Our study compared information available in a typical EHR with more complete data from insurance claims, focusing on diagnoses, visits, and hospital care for depression and bipolar disorder. We included insurance plan members aged 12 and over, assigned throughout 2009 to a large multispecialty medical practice in Massachusetts, with diagnoses of depression (N = 5140) or bipolar disorder (N = 462). We extracted insurance claims and EHR data from the primary care site and compared diagnoses of interest, outpatient visits, and acute hospital events (overall and behavioral) between the 2 sources. Patients with depression and bipolar disorder, respectively, averaged 8.4 and 14.0 days of outpatient behavioral care per year; 60% and 54% of these, respectively, were missing from the EHR because they occurred offsite. Total outpatient care days were 20.5 for those with depression and 25.0 for those with bipolar disorder, with 45% and 46% missing, respectively, from the EHR. The EHR missed 89% of acute psychiatric services. Study diagnoses were missing from the EHR's structured event data for 27.3% and 27.7% of patients. EHRs inadequately capture mental health diagnoses, visits, specialty care, hospitalizations, and medications. Missing clinical information raises concerns about medical errors and research integrity. Given the fragmentation of health care and poor EHR interoperability, information exchange, and usability, priorities for further investment in health IT will need thoughtful reconsideration. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The current state of electronic health record (EHR) use in Oklahoma.

PubMed

Khaliq, Amir A; Mwachofi, Ari K; Hughes, Danny R; Broyles, Robert W; Wheeler, Denna; Roswell, Robert H

2013-02-01

There is ample evidence of the positive impact of electronic health records (EHR) on operational efficiencies and quality of care. Yet, growth in the adoption of EHR and sharing of information among providers has been slow. The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 provides financial incentives for eligible providers to adopt and implement EHR. Until now, little information was available regarding the use of EHR in Oklahoma. Sponsored by the Oklahoma Health Information Exchange Trust (OHIET), this study reveals that the frequency of use of EHR among Oklahoma providers is near the national average. Although a large number of Oklahoma physicians have received Medicaid incentive payments for planned adoption, implementation, or upgrade of EHR systems, relatively few eligible providers in Oklahoma have been certified to receive Medicare incentive payments through the Centers for Medicare and Medicaid Services (CMS) and even fewer have actually received these incentive payments.

Mapping a Nursing Terminology Subset to openEHR Archetypes. A Case Study of the International Classification for Nursing Practice.

PubMed

Nogueira, J R M; Cook, T W; Cavalini, L T

2015-01-01

Healthcare information technologies have the potential to transform nursing care. However, healthcare information systems based on conventional software architecture are not semantically interoperable and have high maintenance costs. Health informatics standards, such as controlled terminologies, have been proposed to improve healthcare information systems, but their implementation in conventional software has not been enough to overcome the current challenge. Such obstacles could be removed by adopting a multilevel model-driven approach, such as the openEHR specifications, in nursing information systems. To create an openEHR archetype model for the Functional Status concepts as published in Nursing Outcome Indicators Catalog of the International Classification for Nursing Practice (NOIC-ICNP). Four methodological steps were followed: 1) extraction of terms from the NOIC-ICNP terminology; 2) identification of previously published openEHR archetypes; 3) assessment of the adequacy of those openEHR archetypes to represent the terms; and 4) development of new openEHR archetypes when required. The "Barthel Index" archetype was retrieved and mapped to the 68 NOIC-ICNP Functional Status terms. There were 19 exact matches between a term and the correspondent archetype node and 23 archetype nodes that matched to one or more NOIC-INCP. No matches were found between the archetype and 14 of the NOIC-ICNP terms, and nine archetype nodes did not match any of the NOIC-ICNP terms. The openEHR model was sufficient to represent the semantics of the Functional Status concept according to the NOIC-ICNP, but there were differences in data granularity between the terminology and the archetype, thus producing a significantly complex mapping, which could be difficult to implement in real healthcare information systems. However, despite the technological complexity, the present study demonstrated the feasibility of mapping nursing terminologies to openEHR archetypes, which emphasizes the importance of adopting the multilevel model-driven approach for the achievement of semantic interoperability between healthcare information systems.

Quantifying predictive capability of electronic health records for the most harmful breast cancer

NASA Astrophysics Data System (ADS)

Wu, Yirong; Fan, Jun; Peissig, Peggy; Berg, Richard; Tafti, Ahmad Pahlavan; Yin, Jie; Yuan, Ming; Page, David; Cox, Jennifer; Burnside, Elizabeth S.

2018-03-01

Improved prediction of the "most harmful" breast cancers that cause the most substantive morbidity and mortality would enable physicians to target more intense screening and preventive measures at those women who have the highest risk; however, such prediction models for the "most harmful" breast cancers have rarely been developed. Electronic health records (EHRs) represent an underused data source that has great research and clinical potential. Our goal was to quantify the value of EHR variables in the "most harmful" breast cancer risk prediction. We identified 794 subjects who had breast cancer with primary non-benign tumors with their earliest diagnosis on or after 1/1/2004 from an existing personalized medicine data repository, including 395 "most harmful" breast cancer cases and 399 "least harmful" breast cancer cases. For these subjects, we collected EHR data comprised of 6 components: demographics, diagnoses, symptoms, procedures, medications, and laboratory results. We developed two regularized prediction models, Ridge Logistic Regression (Ridge-LR) and Lasso Logistic Regression (Lasso-LR), to predict the "most harmful" breast cancer one year in advance. The area under the ROC curve (AUC) was used to assess model performance. We observed that the AUCs of Ridge-LR and Lasso-LR models were 0.818 and 0.839 respectively. For both the Ridge-LR and LassoLR models, the predictive performance of the whole EHR variables was significantly higher than that of each individual component (p<0.001). In conclusion, EHR variables can be used to predict the "most harmful" breast cancer, providing the possibility to personalize care for those women at the highest risk in clinical practice.

Quantifying predictive capability of electronic health records for the most harmful breast cancer.

PubMed

Wu, Yirong; Fan, Jun; Peissig, Peggy; Berg, Richard; Tafti, Ahmad Pahlavan; Yin, Jie; Yuan, Ming; Page, David; Cox, Jennifer; Burnside, Elizabeth S

2018-02-01

Improved prediction of the "most harmful" breast cancers that cause the most substantive morbidity and mortality would enable physicians to target more intense screening and preventive measures at those women who have the highest risk; however, such prediction models for the "most harmful" breast cancers have rarely been developed. Electronic health records (EHRs) represent an underused data source that has great research and clinical potential. Our goal was to quantify the value of EHR variables in the "most harmful" breast cancer risk prediction. We identified 794 subjects who had breast cancer with primary non-benign tumors with their earliest diagnosis on or after 1/1/2004 from an existing personalized medicine data repository, including 395 "most harmful" breast cancer cases and 399 "least harmful" breast cancer cases. For these subjects, we collected EHR data comprised of 6 components: demographics, diagnoses, symptoms, procedures, medications, and laboratory results. We developed two regularized prediction models, Ridge Logistic Regression (Ridge-LR) and Lasso Logistic Regression (Lasso-LR), to predict the "most harmful" breast cancer one year in advance. The area under the ROC curve (AUC) was used to assess model performance. We observed that the AUCs of Ridge-LR and Lasso-LR models were 0.818 and 0.839 respectively. For both the Ridge-LR and Lasso-LR models, the predictive performance of the whole EHR variables was significantly higher than that of each individual component (p<0.001). In conclusion, EHR variables can be used to predict the "most harmful" breast cancer, providing the possibility to personalize care for those women at the highest risk in clinical practice.

Creating value: unifying silos into public health business intelligence.

PubMed

Davidson, Arthur J

2014-01-01

Through September 2014, federal investments in health information technology have been unprecedented, with more than 25 billion dollars in incentive funds distributed to eligible hospitals and providers. Over 85 percent of eligible United States hospitals and 60 percent of eligible providers have used certified electronic health record (EHR) technology and received Meaningful Use incentive funds (HITECH Act1). Certified EHR technology could create new public health (PH) value through novel and rapidly evolving data-use opportunities, never before experienced by PH. The long-standing "silo" approach to funding has fragmented PH programs and departments,2 but the components for integrated business intelligence (i.e., tools and applications to help users make informed decisions) and maximally reuse data are available now. Challenges faced by PH agencies on the road to integration are plentiful, but an emphasis on PH systems and services research (PHSSR) may identify gaps and solutions for the PH community to address. Technology and system approaches to leverage this information explosion to support a transformed health care system and population health are proposed. By optimizing this information opportunity, PH can play a greater role in the learning health system.

The Impact of Physician EHR Usage on Patient Satisfaction.

PubMed

Marmor, Rebecca A; Clay, Brian; Millen, Marlene; Savides, Thomas J; Longhurst, Christopher A

2018-01-01

The increased emphasis on patient satisfaction has coincided with the growing adoption of electronic health records (EHRs) throughout the U.S. The 2001 Institute of Medicine Report, “Crossing the Quality Chasm,” identified patient-centered care as a key element of quality health care.[1] In response to this call, the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was developed to assess patients' health care experiences in the inpatient setting. Simultaneously, financial incentives have facilitated the rapid adoption of EHR applications, with 84% of hospitals maintaining at least a basic EHR in 2015 (a ninefold increase since 2008).[2] Despite the concurrent deployment of patient satisfaction surveys and EHRs, there is a poor understanding of the relationship that may exist between physician usage of the EHR and patient satisfaction. Most prior research into the impact of the EHR on physician–patient communication has been observational, describing the behaviors of physicians and patients when the clinician accesses an EHR in the exam room. Past research has shown that encounters where physicians access the EHR are often filled with long pauses,[3] and that few clinicians attempt to engage patients by sharing what they are looking at on the screen.[4] A recent meta-analysis reviewing 53 papers found that only 7 studies attempted to correlate objective observations of physician communication behaviors with patient perceptions by eliciting feedback from the patients.[5] No study used a standardized assessment tool of patient satisfaction. The authors conclude that additional work is necessary to better understand the patient perspective of the presence of an EHR during a clinical encounter. Additionally, increasing EHR adoption and emphasis on patient satisfaction have also corresponded with rising physician burnout rates.[6] [7] Prior work suggests that EHR adoption may be contributing to this trend.[8] Burnout from the EHR may be due in part to the significant amount of time physicians spend logged into systems, documenting long after clinic has ended in effort to avoid disrupting the patient–physician relationship.[9] We used existing data sources to describe the relationship between the amount of time physicians spend logged in to the EHR—both during daytime hours as well after clinic hours—and performance on a validated patient satisfaction survey. Our null hypothesis is that there is no relationship between increased time logged in to the EHR and patient satisfaction.

Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record.

PubMed

Colligan, Lacey; Potts, Henry W W; Finn, Chelsea T; Sinkin, Robert A

2015-07-01

Healthcare institutions worldwide are moving to electronic health records (EHRs). These transitions are particularly numerous in the US where healthcare systems are purchasing and implementing commercial EHRs to fulfill federal requirements. Despite the central role of EHRs to workflow, the cognitive impact of these transitions on the workforce has not been widely studied. This study assesses the changes in cognitive workload among pediatric nurses during data entry and retrieval tasks during transition from a hybrid electronic and paper information system to a commercial EHR. Baseline demographics and computer attitude and skills scores were obtained from 74 pediatric nurses in two wards. They also completed an established and validated instrument, the NASA-TLX, that is designed to measure cognitive workload; this instrument was used to evaluate cognitive workload of data entry and retrieval. The NASA-TLX was administered at baseline (pre-implementation), 1, 5 and 10 shifts and 4 months post-implementation of the new EHR. Most nurse participants experienced significant increases of cognitive workload at 1 and 5 shifts after "go-live". These increases abated at differing rates predicted by participants' computer attitudes scores (p = 0.01). There is substantially increased cognitive workload for nurses during the early phases (1-5 shifts) of EHR transitions. Health systems should anticipate variability across workers adapting to "meaningful use" EHRs. "One-size-fits-all" training strategies may not be suitable and longer periods of technical support may be necessary for some workers. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

The association between EHRs and care coordination varies by team cohesion.

PubMed

Graetz, Ilana; Reed, Mary; Shortell, Stephen M; Rundall, Thomas G; Bellows, Jim; Hsu, John

2014-02-01

To examine whether primary care team cohesion changes the association between using an integrated outpatient-inpatient electronic health record (EHR) and clinician-rated care coordination across delivery sites. Self-administered surveys of primary care clinicians in a large integrated delivery system, collected in 2005 (N=565), 2006 (N=678), and 2008 (N=626) during the staggered implementation of an integrated EHR (2005-2010), including validated questions on team cohesion. Using multivariable regression, we examined the combined effect of EHR use and team cohesion on three dimensions of care coordination across delivery sites: access to timely and complete information, treatment agreement, and responsibility agreement. Among clinicians working in teams with higher cohesion, EHR use was associated with significant improvements in reported access to timely and complete information (53.5 percent with EHR vs. 37.6 percent without integrated-EHR), agreement on treatment goals (64.3 percent vs. 50.6 percent), and agreement on responsibilities (63.9 percent vs. 55.2 percent, all p<.05). We found no statistically significant association between use of the integrated-EHR and reported care coordination in less cohesive teams. The association between EHR use and reported care coordination varied by level of team cohesion. EHRs may not improve care coordination in less cohesive teams. © Health Research and Educational Trust.

Provider responses to patients controlling access to their electronic health records: a prospective cohort study in primary care.

PubMed

Tierney, William M; Alpert, Sheri A; Byrket, Amy; Caine, Kelly; Leventhal, Jeremy C; Meslin, Eric M; Schwartz, Peter H

2015-01-01

Applying Fair Information Practice principles to electronic health records (EHRs) requires allowing patient control over who views their data. We designed a program that captures patients' preferences for provider access to an urban health system's EHR. Patients could allow or restrict providers' access to all data (diagnoses, medications, test results, reports, etc.) or only highly sensitive data (sexually transmitted infections, HIV/AIDS, drugs/alcohol, mental or reproductive health). Except for information in free-text reports, we redacted EHR data shown to providers according to patients' preferences. Providers could "break the glass" to display redacted information. We prospectively studied this system in one primary care clinic, noting redactions and when users "broke the glass," and surveyed providers about their experiences and opinions. Eight of nine eligible clinic physicians and all 23 clinic staff participated. All 105 patients who enrolled completed the preference program. Providers did not know which of their patients were enrolled, nor their preferences for accessing their EHRs. During the 6-month prospective study, 92 study patients (88 %) returned 261 times, during which providers viewed their EHRs 126 times (48 %). Providers "broke the glass" 102 times, 92 times for patients not in the study and ten times for six returning study patients, all of whom had restricted EHR access. Providers "broke the glass" for six (14 %) of 43 returning study patients with redacted data vs. zero among 49 study patients without redactions (p = 0.01). Although 54 % of providers agreed that patients should have control over who sees their EHR information, 58 % believed restricting EHR access could harm provider-patient relationships and 71 % felt quality of care would suffer. Patients frequently preferred restricting provider access to their EHRs. Providers infrequently overrode patients' preferences to view hidden data. Providers believed that restricting EHR access would adversely impact patient care. Applying Fair Information Practice principles to EHRs will require balancing patient preferences, providers' needs, and health care quality.

Hospitals ineligible for federal meaningful-use incentives have dismally low rates of adoption of electronic health records.

PubMed

Wolf, Larry; Harvell, Jennie; Jha, Ashish K

2012-03-01

The US government has dedicated substantial resources to help certain providers, such as short-term acute care hospitals and physicians, adopt and meaningfully use electronic health record (EHR) systems. We used national data to determine adoption rates of EHR systems among all types of inpatient providers that were ineligible for these same federal meaningful-use incentives: long-term acute care hospitals, rehabilitation hospitals, and psychiatric hospitals. Adoption rates for these institutions were dismally low: less than half of the rate among short-term acute care hospitals. Specifically, 12 percent of short-term acute care hospitals have at least a basic EHR system, compared with 6 percent of long-term acute care hospitals, 4 percent of rehabilitation hospitals, and 2 percent of psychiatric hospitals. To advance the creation of a nationwide health information technology infrastructure, federal and state policy makers should consider additional measures, such as adopting health information technology standards and EHR system certification criteria appropriate for these ineligible hospitals; including such hospitals in state health information exchange programs; and establishing low-interest loan programs for the acquisition and use of certified EHR systems by ineligible providers.

The Relationship between Using Electronic Health Records and Meeting Accreditation Standards for Client Safety in Residential Aged Care Homes.

PubMed

Jiang, Tao; Yu, Ping

2015-01-01

This study aims to identify the benefits of using electronic health records (EHR) for client safety in residential aged care (RAC) homes. The aged care accreditation reports published between 27 April 2011 and 3 December 2013 were downloaded and analysed. It could be seen from these reports that only 1,031(37.45%) RAC homes in Australia had adopted an EHR system by 2013. 13 RAC homes failed one or more accreditation standards. Only one of these was using an EHR system and this one met the accreditation standards on information systems. Our study provides empirical evidence to suggest that adopting and using EHR can be one of the effective organisational mechanisms to meeting accreditation standards in RAC homes.

A model-driven approach for representing clinical archetypes for Semantic Web environments.

PubMed

Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Maldonado, José Alberto

2009-02-01

The life-long clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. There are currently different standards for representing and exchanging EHR information among different systems. In advanced EHR approaches, clinical information is represented by means of archetypes. Most of these approaches use the Archetype Definition Language (ADL) to specify archetypes. However, ADL has some drawbacks when attempting to perform semantic activities in Semantic Web environments. In this work, Semantic Web technologies are used to specify clinical archetypes for advanced EHR architectures. The advantages of using the Ontology Web Language (OWL) instead of ADL are described and discussed in this work. Moreover, a solution combining Semantic Web and Model-driven Engineering technologies is proposed to transform ADL into OWL for the CEN EN13606 EHR architecture.

Dynamic CDM strategies in an EHR environment.

PubMed

Bieker, Michael; Bailey, Spencer

2012-02-01

A dynamic charge description master (CDM) integrates information from clinical ancillary systems into the charge-capture process, so an organization can reduce its reliance on the patient accounting system as the sole source of billing information. By leveraging the information from electronic ancillary systems, providers can eliminate the need for paper charge-capture forms and see increased accuracy and efficiency in the maintenance of billing information. Before embarking on a dynamic CDM strategy, organizations should first determine their goals for implementing an EHR system, include revenue cycle leaders on the EHR implementation team, and carefully weigh the pros and cons of CDM design decisions.

National electronic medical records integration on cloud computing system.

PubMed

Mirza, Hebah; El-Masri, Samir

2013-01-01

Few Healthcare providers have an advanced level of Electronic Medical Record (EMR) adoption. Others have a low level and most have no EMR at all. Cloud computing technology is a new emerging technology that has been used in other industry and showed a great success. Despite the great features of Cloud computing, they haven't been utilized fairly yet in healthcare industry. This study presents an innovative Healthcare Cloud Computing system for Integrating Electronic Health Record (EHR). The proposed Cloud system applies the Cloud Computing technology on EHR system, to present a comprehensive EHR integrated environment.

Safe use of electronic health records and health information technology systems: trust but verify.

PubMed

Denham, Charles R; Classen, David C; Swenson, Stephen J; Henderson, Michael J; Zeltner, Thomas; Bates, David W

2013-12-01

We will provide a context to health information technology systems (HIT) safety hazards discussions, describe how electronic health record-computer prescriber order entry (EHR-CPOE) simulation has already identified unrecognized hazards in HIT on a national scale, helping make EHR-CPOE systems safer, and we make the case for all stakeholders to leverage proven methods and teams in HIT performance verification. A national poll of safety, quality improvement, and health-care administrative leaders identified health information technology safety as the hazard of greatest concern for 2013. Quality, HIT, and safety leaders are very concerned about technology performance risks as addressed in the Health Information Technology and Patient Safety report of the Institute of Medicine; and these are being addressed by the Office of the National Coordinator of HIT of the U.S. Dept. of Human Services in their proposed plans. We describe the evolution of postdeployment testing of HIT performance, including the results of national deployment of Texas Medical Institute of Technology's electronic health record computer prescriber order entry (TMIT EHR-CPOE) Flight Simulator verification test that is addressed in these 2 reports, and the safety hazards of concern to leaders. A global webinar for health-care leaders addressed the top patient safety hazards in the areas of leadership, practices, and technologies. A poll of 76 of the 221 organizations participating in the webinar revealed that HIT hazards were the participants' greatest concern of all 30 hazards presented. Of those polled, 89% rated HIT patient/data mismatches in EHRs and HIT systems as a 9 or 10 on a scale of 1 to 10 as a hazard of great concern. Review of a key study of postdeployment testing of the safety performance of operational EHR systems with CPOE implemented in 62 hospitals, using the TMIT EHR-CPOE simulation tool, showed that only 53% of the medication orders that could have resulted in fatalities were detected. The study also showed significant variability in the performance of specific EHR vendor systems, with the same vendor product scoring as high as a 75% detection score in one health-care organization, and the same vendor system scoring below 10% in another health-care organization. HIT safety hazards should be taken very seriously, and the need for proven, robust, and regular postdeployment performance verification measurement of EHR system operations in every health-care organization is critical to ensure that these systems are safe for every patient. The TMIT EHR-CPOE flight simulator is a well-tested and scalable tool that can be used to identify performance gaps in EHR and other HIT systems. It is critical that suppliers, providers, and purchasers of health-care partner with HIT stakeholders and leverage the existing body of work, as well as expert teams and collaborative networks to make care safer; and public-private partnerships to accelerate safety in HIT. A global collaborative is already underway incorporating a "trust but verify" philosophy.

Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.

PubMed

Haarbrandt, Birger; Tute, Erik; Marschollek, Michael

2016-10-01

Detailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. However, approaches to efficiently provide openEHR data to researchers for secondary use have not yet been investigated or established. We developed an approach to automatically load openEHR data instances into the open source clinical data warehouse i2b2. We evaluated query capabilities and the performance of this approach in the context of the Hanover Medical School Translational Research Framework (HaMSTR), an openEHR-based data repository. Automated creation of i2b2 ontologies from archetypes and templates and the integration of openEHR data instances from 903 patients of a paediatric intensive care unit has been achieved. In total, it took an average of ∼2527s to create 2.311.624 facts from 141.917 XML documents. Using the imported data, we conducted sample queries to compare the performance with two openEHR systems and to investigate if this representation of data is feasible to support cohort identification and record level data extraction. We found the automated population of an i2b2 clinical data warehouse to be a feasible approach to make openEHR data instances available for secondary use. Such an approach can facilitate timely provision of clinical data to researchers. It complements analytics based on the Archetype Query Language by allowing querying on both, legacy clinical data sources and openEHR data instances at the same time and by providing an easy-to-use query interface. However, due to different levels of expressiveness in the data models, not all semantics could be preserved during the ETL process. Copyright © 2016 Elsevier Inc. All rights reserved.

Impact of Electronic Health Records on Long-Term Care Facilities: Systematic Review

PubMed Central

Mileski, Michael; Vijaykumar, Alekhya Ganta; Viswanathan, Sneha Vishnampet; Suskandla, Ujwala; Chidambaram, Yazhini

2017-01-01

Background Long-term care (LTC) facilities are an important part of the health care industry, providing care to the fastest-growing group of the population. However, the adoption of electronic health records (EHRs) in LTC facilities lags behind other areas of the health care industry. One of the reasons for the lack of widespread adoption in the United States is that LTC facilities are not eligible for incentives under the Meaningful Use program. Implementation of an EHR system in an LTC facility can potentially enhance the quality of care, provided it is appropriately implemented, used, and maintained. Unfortunately, the lag in adoption of the EHR in LTC creates a paucity of literature on the benefits of EHR implementation in LTC facilities. Objective The objective of this systematic review was to identify the potential benefits of implementing an EHR system in LTC facilities. The study also aims to identify the common conditions and EHR features that received favorable remarks from providers and the discrepancies that needed improvement to build up momentum across LTC settings in adopting this technology. Methods The authors conducted a systematic search of PubMed, Cumulative Index of Nursing and Allied Health (CINAHL), and MEDLINE databases. Papers were analyzed by multiple referees to filter out studies not germane to our research objective. A final sample of 28 papers was selected to be included in the systematic review. Results Results of this systematic review conclude that EHRs show significant improvement in the management of documentation in LTC facilities and enhanced quality outcomes. Approximately 43% (12/28) of the papers reported a mixed impact of EHRs on the management of documentation, and 33% (9/28) of papers reported positive quality outcomes using EHRs. Surprisingly, very few papers demonstrated an impact on patient satisfaction, physician satisfaction, the length of stay, and productivity using EHRs. Conclusions Overall, implementation of EHRs has been found to be effective in the few LTC facilities that have implemented them. Implementation of EHRs in LTC facilities caused improved management of clinical documentation that enabled better decision making. PMID:28963091

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations

PubMed Central

Zheng, Jiaping; Yu, Hong

2016-01-01

Background Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients’ notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. Objective We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. Methods First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians’ agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Results Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen’s kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FOCUS for identifying important terms from EHR notes was 0.866 AUC-ROC. Both performance scores significantly exceeded the corresponding baseline system scores (P<.001). Rich learning features contributed to FOCUS’s performance substantially. Conclusions FOCUS can automatically rank terms from EHR notes based on their importance to patients. It may help develop future interventions that improve quality of care. PMID:27903489

Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations.

PubMed

Chen, Jinying; Zheng, Jiaping; Yu, Hong

2016-11-30

Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them. Interventions can then be developed by giving them targeted education to improve their EHR comprehension and the quality of care. We aimed to develop a supervised natural language processing (NLP) system called Finding impOrtant medical Concepts most Useful to patientS (FOCUS) that automatically identifies and ranks medical terms in EHR notes based on their importance to the patients. First, we built an expert-annotated corpus. For each EHR note, 2 physicians independently identified medical terms important to the patient. Using the physicians' agreement as the gold standard, we developed and evaluated FOCUS. FOCUS first identifies candidate terms from each EHR note using MetaMap and then ranks the terms using a support vector machine-based learn-to-rank algorithm. We explored rich learning features, including distributed word representation, Unified Medical Language System semantic type, topic features, and features derived from consumer health vocabulary. We compared FOCUS with 2 strong baseline NLP systems. Physicians annotated 90 EHR notes and identified a mean of 9 (SD 5) important terms per note. The Cohen's kappa annotation agreement was .51. The 10-fold cross-validation results show that FOCUS achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.940 for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FOCUS for identifying important terms from EHR notes was 0.866 AUC-ROC. Both performance scores significantly exceeded the corresponding baseline system scores (P<.001). Rich learning features contributed to FOCUS's performance substantially. FOCUS can automatically rank terms from EHR notes based on their importance to patients. It may help develop future interventions that improve quality of care. ©Jinying Chen, Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 30.11.2016.

Modelling of Operative Report Documents for Data Integration into an openEHR-Based Enterprise Data Warehouse.

PubMed

Haarbrandt, Birger; Wilschko, Andreas; Marschollek, Michael

2016-01-01

In order to integrate operative report documents from two operating room management systems into a data warehouse, we investigated the application of the two-level modelling approach of openEHR to create a shared data model. Based on the systems' analyses, a template consisting of 13 archetypes has been developed. Of these 13 archetypes, 3 have been obtained from the international archetype repository of the openEHR foundation. The remaining 10 archetypes have been newly created. The template was evaluated by an application system expert and through conducting a first test mapping of real-world data from one of the systems. The evaluation showed that by using the two-level modelling approach of openEHR, we succeeded to represent an integrated and shared information model for operative report documents. More research is needed to learn about the limitations of this approach in other data integration scenarios.

A Standards-Based Architecture Proposal for Integrating Patient mHealth Apps to Electronic Health Record Systems

PubMed Central

Fontelo, P.; Rossi, E.; Ackerman, MJ

2015-01-01

Summary Background Mobile health Applications (mHealth Apps) are opening the way to patients’ responsible and active involvement with their own healthcare management. However, apart from Apps allowing patient’s access to their electronic health records (EHRs), mHealth Apps are currently developed as dedicated “island systems”. Objective Although much work has been done on patient’s access to EHRs, transfer of information from mHealth Apps to EHR systems is still low. This study proposes a standards-based architecture that can be adopted by mHealth Apps to exchange information with EHRs to support better quality of care. Methods Following the definition of requirements for the EHR/mHealth App information exchange recently proposed, and after reviewing current standards, we designed the architecture for EHR/mHealth App integration. Then, as a case study, we modeled a system based on the proposed architecture aimed to support home monitoring for congestive heart failure patients. We simulated such process using, on the EHR side, OpenMRS, an open source longitudinal EHR and, on the mHealth App side, the iOS platform. Results The integration architecture was based on the bi-directional exchange of standard documents (clinical document architecture rel2 – CDA2). In the process, the clinician “prescribes” the home monitoring procedures by creating a CDA2 prescription in the EHR that is sent, encrypted and de-identified, to the mHealth App to create the monitoring calendar. At the scheduled time, the App alerts the patient to start the monitoring. After the measurements are done, the App generates a structured CDA2-compliant monitoring report and sends it to the EHR, thus avoiding local storage. Conclusions The proposed architecture, even if validated only in a simulation environment, represents a step forward in the integration of personal mHealth Apps into the larger health-IT ecosystem, allowing the bi-directional data exchange between patients and healthcare professionals, supporting the patient’s engagement in self-management and self-care. PMID:26448794

Using Computer-Extracted Data from Electronic Health Records to Measure the Quality of Adolescent Well-Care

PubMed Central

Gardner, William; Morton, Suzanne; Byron, Sepheen C; Tinoco, Aldo; Canan, Benjamin D; Leonhart, Karen; Kong, Vivian; Scholle, Sarah Hudson

2014-01-01

Objective To determine whether quality measures based on computer-extracted EHR data can reproduce findings based on data manually extracted by reviewers. Data Sources We studied 12 measures of care indicated for adolescent well-care visits for 597 patients in three pediatric health systems. Study Design Observational study. Data Collection/Extraction Methods Manual reviewers collected quality data from the EHR. Site personnel programmed their EHR systems to extract the same data from structured fields in the EHR according to national health IT standards. Principal Findings Overall performance measured via computer-extracted data was 21.9 percent, compared with 53.2 percent for manual data. Agreement measures were high for immunizations. Otherwise, agreement between computer extraction and manual review was modest (Kappa = 0.36) because computer-extracted data frequently missed care events (sensitivity = 39.5 percent). Measure validity varied by health care domain and setting. A limitation of our findings is that we studied only three domains and three sites. Conclusions The accuracy of computer-extracted EHR quality reporting depends on the use of structured data fields, with the highest agreement found for measures and in the setting that had the greatest concentration of structured fields. We need to improve documentation of care, data extraction, and adaptation of EHR systems to practice workflow. PMID:24471935

Designing a system for patients controlling providers' access to their electronic health records: organizational and technical challenges.

PubMed

Leventhal, Jeremy C; Cummins, Jonathan A; Schwartz, Peter H; Martin, Douglas K; Tierney, William M

2015-01-01

Electronic health records (EHRs) are proliferating, and financial incentives encourage their use. Applying Fair Information Practice principles to EHRs necessitates balancing patients' rights to control their personal information with providers' data needs to deliver safe, high-quality care. We describe the technical and organizational challenges faced in capturing patients' preferences for patient-controlled EHR access and applying those preferences to an existing EHR. We established an online system for capturing patients' preferences for who could view their EHRs (listing all participating clinic providers individually and categorically-physicians, nurses, other staff) and what data to redact (none, all, or by specific categories of sensitive data or patient age). We then modified existing data-viewing software serving a state-wide health information exchange and a large urban health system and its primary care clinics to allow patients' preferences to guide data displays to providers. Patients could allow or restrict data displays to all clinicians and staff in a demonstration primary care clinic, categories of providers (physicians, nurses, others), or individual providers. They could also restrict access to all EHR data or any or all of five categories of sensitive data (mental and reproductive health, sexually transmitted diseases, HIV/AIDS, and substance abuse) and for specific patient ages. The EHR viewer displayed data via reports, data flowsheets, and coded and free text data displayed by Google-like searches. Unless patients recorded restrictions, by default all requested data were displayed to all providers. Data patients wanted restricted were not displayed, with no indication they were redacted. Technical barriers prevented redacting restricted information in free textnotes. The program allowed providers to hit a "Break the Glass" button to override patients' restrictions, recording the date, time, and next screen viewed. Establishing patient-control over EHR data displays was complex and required ethical, clinical, database, and programming expertise and difficult choices to overcome technical and health system constraints. Assessing patients' preferences for access to their EHRs and applying them in clinical practice requires wide-ranging technical, clinical, and bioethical expertise, to make tough choices to overcome significant technical and organization challenges.

Safety huddles to proactively identify and address electronic health record safety

PubMed Central

Menon, Shailaja; Singh, Hardeep; Giardina, Traber D; Rayburn, William L; Davis, Brenda P; Russo, Elise M

2017-01-01

Objective: Methods to identify and study safety risks of electronic health records (EHRs) are underdeveloped and largely depend on limited end-user reports. “Safety huddles” have been found useful in creating a sense of collective situational awareness that increases an organization’s capacity to respond to safety concerns. We explored the use of safety huddles for identifying and learning about EHR-related safety concerns. Design: Data were obtained from daily safety huddle briefing notes recorded at a single midsized tertiary-care hospital in the United States over 1 year. Huddles were attended by key administrative, clinical, and information technology staff. We conducted a content analysis of huddle notes to identify what EHR-related safety concerns were discussed. We expanded a previously developed EHR-related error taxonomy to categorize types of EHR-related safety concerns recorded in the notes. Results: On review of daily huddle notes spanning 249 days, we identified 245 EHR-related safety concerns. For our analysis, we defined EHR technology to include a specific EHR functionality, an entire clinical software application, or the hardware system. Most concerns (41.6%) involved “EHR technology working incorrectly,” followed by 25.7% involving “EHR technology not working at all.” Concerns related to “EHR technology missing or absent” accounted for 16.7%, whereas 15.9% were linked to “user errors.” Conclusions: Safety huddles promoted discussion of several technology-related issues at the organization level and can serve as a promising technique to identify and address EHR-related safety concerns. Based on our findings, we recommend that health care organizations consider huddles as a strategy to promote understanding and improvement of EHR safety. PMID:28031286

“Meaningful use” of electronic health records and its relevance to laboratories and pathologists

PubMed Central

Henricks, Walter H.

2011-01-01

Electronic health records (EHRs) have emerged as a major topic in health care and are central to the federal government’s strategy for transforming healthcare delivery in the United States. Recent federal actions that aim to promote the use of EHRs promise to have significant implications for laboratories and for pathology practices. Under the HITECH (Health Information Technology Economic and Clinical Health) Act, an EHR incentive program has been established through which individual physicians and hospitals can qualify to receive incentive payments if they achieve “meaningful use” of “certified” EHR technology. The rule also establishes payment penalties in future years for eligible providers who have not met the requirements for meaningful use of EHRs. Meaningful use must be achieved using EHR technology that has been certified in accordance with functional and technical criteria that are set forth a regulation that parallels the meaningful use criteria in the incentive program. These actions and regulations are important to laboratories and pathologists for a number of reasons. Several of the criteria and requirements in the meaningful use rules and EHR certification criteria relate directly or indirectly to laboratory testing and laboratory information management, and future stage requirements are expected to impact the laboratory as well. Furthermore, as EHR uptake expands, there will be greater expectations for electronic interchange of laboratory information and laboratory information system (LIS)-EHR interfaces. Laboratories will need to be aware of the technical, operational, and business challenges that they may face as expectations for LIS-EHR increase. This paper reviews the important recent federal efforts aimed at accelerating EHR use, including the incentive program for EHR meaningful use, provider eligibility, and EHR certification criteria, from a perspective of their relevance for laboratories and pathology practices. PMID:21383931

Workflow and Electronic Health Records in Small Medical Practices

PubMed Central

Ramaiah, Mala; Subrahmanian, Eswaran; Sriram, Ram D; Lide, Bettijoyce B

2012-01-01

This paper analyzes the workflow and implementation of electronic health record (EHR) systems across different functions in small physician offices. We characterize the differences in the offices based on the levels of computerization in terms of workflow, sources of time delay, and barriers to using EHR systems to support the entire workflow. The study was based on a combination of questionnaires, interviews, in situ observations, and data collection efforts. This study was not intended to be a full-scale time-and-motion study with precise measurements but was intended to provide an overview of the potential sources of delays while performing office tasks. The study follows an interpretive model of case studies rather than a large-sample statistical survey of practices. To identify time-consuming tasks, workflow maps were created based on the aggregated data from the offices. The results from the study show that specialty physicians are more favorable toward adopting EHR systems than primary care physicians are. The barriers to adoption of EHR systems by primary care physicians can be attributed to the complex workflows that exist in primary care physician offices, leading to nonstandardized workflow structures and practices. Also, primary care physicians would benefit more from EHR systems if the systems could interact with external entities. PMID:22737096

An Electronic Health Record - Public Health (EHR-PH) System Prototype for Interoperability in 21st Century Healthcare Systems

PubMed Central

Orlova, Anna O.; Dunnagan, Mark; Finitzo, Terese; Higgins, Michael; Watkins, Todd; Tien, Allen; Beales, Steven

2005-01-01

Information exchange, enabled by computable interoperability, is the key to many of the initiatives underway including the development of Regional Health Information Exchanges, Regional Health Information Organizations, and the National Health Information Network. These initiatives must include public health as a full partner in the emerging transformation of our nation’s healthcare system through the adoption and use of information technology. An electronic health record - public health (EHR-PH) system prototype was developed to demonstrate the feasibility of electronic data transfer from a health care provider, i.e. hospital or ambulatory care settings, to multiple customized public health systems which include a Newborn Metabolic Screening Registry, a Newborn Hearing Screening Registry, an Immunization Registry and a Communicable Disease Registry, using HL7 messaging standards. Our EHR-PH system prototype can be considered a distributed EHR-based RHIE/RHIO model - a principal element for a potential technical architecture for a NHIN. PMID:16779105

Building a reference functional model for EHR systems.

PubMed

Sumita, Yuki; Takata, Mami; Ishitsuka, Keiju; Tominaga, Yasuyuki; Ohe, Kazuhiko

2007-09-01

Our aim was to develop a reference functional model for electric health record systems (RFM). Such a RFM is built from functions using functional descriptive elements (FDEs) and represents the static relationships between them. This paper presents a new format for describing electric health record (EHR) system functions. Questionnaire and field interview survey was conducted in five hospitals in Japan and one in the USA, to collect data on EHR system functions. Based on survey results, a reference functional list (RFL) was created, in which each EHR system function was listed and divided into 13 FDE types. By analyzing the RFL, we built the meta-functional model and the functional model using UML class diagrams. The former defines language for expressing the functional model, while the latter represents functions, FDEs and their static relationships. A total of 385 functions were represented in the RFL. Six patterns were found for the relationships between functions. The meta-functional model was created as a new format for describing functions. Examples of the functional model, which included the six patterns in the relationships between functions and 11 verbs, were created. We present the meta-functional model, which is a new description format for the functional structure and relationships. Although a more detailed description is required to apply the RFM to the semiautomatic generation of functional specification documents, our RFM can visualize functional structures and functional relationships, classify functions using multiple axes and identify the similarities and differences between functions. The RFM will promote not only the standardization of EHR systems, but also communications between system developers and healthcare providers in the EHR system-design processes. 2006 Elsevier Ireland Ltd

Applied nursing informatics research - state-of-the-art methodologies using electronic health record data.

PubMed

Park, Jung In; Pruinelli, Lisiane; Westra, Bonnie L; Delaney, Connie W

2014-01-01

With the pervasive implementation of electronic health records (EHR), new opportunities arise for nursing research through use of EHR data. Increasingly, comparative effectiveness research within and across health systems is conducted to identify the impact of nursing for improving health, health care, and lowering costs of care. Use of EHR data for this type of research requires use of national and internationally recognized nursing terminologies to normalize data. Research methods are evolving as large data sets become available through EHRs. Little is known about the types of research and analytic methods for applied to nursing research using EHR data normalized with nursing terminologies. The purpose of this paper is to report on a subset of a systematic review of peer reviewed studies related to applied nursing informatics research involving EHR data using standardized nursing terminologies.

Leveraging electronic health record documentation for Failure Mode and Effects Analysis team identification

PubMed Central

Carson, Matthew B; Lee, Young Ji; Benacka, Corrine; Mutharasan, R. Kannan; Ahmad, Faraz S; Kansal, Preeti; Yancy, Clyde W; Anderson, Allen S; Soulakis, Nicholas D

2017-01-01

Objective: Using Failure Mode and Effects Analysis (FMEA) as an example quality improvement approach, our objective was to evaluate whether secondary use of orders, forms, and notes recorded by the electronic health record (EHR) during daily practice can enhance the accuracy of process maps used to guide improvement. We examined discrepancies between expected and observed activities and individuals involved in a high-risk process and devised diagnostic measures for understanding discrepancies that may be used to inform quality improvement planning. Methods: Inpatient cardiology unit staff developed a process map of discharge from the unit. We matched activities and providers identified on the process map to EHR data. Using four diagnostic measures, we analyzed discrepancies between expectation and observation. Results: EHR data showed that 35% of activities were completed by unexpected providers, including providers from 12 categories not identified as part of the discharge workflow. The EHR also revealed sub-components of process activities not identified on the process map. Additional information from the EHR was used to revise the process map and show differences between expectation and observation. Conclusion: Findings suggest EHR data may reveal gaps in process maps used for quality improvement and identify characteristics about workflow activities that can identify perspectives for inclusion in an FMEA. Organizations with access to EHR data may be able to leverage clinical documentation to enhance process maps used for quality improvement. While focused on FMEA protocols, findings from this study may be applicable to other quality activities that require process maps. PMID:27589944

A business case for HIT adoption: effects of "meaningful use" EHR financial incentives on clinic revenue.

PubMed

Behkami, Nima A; Dorr, David A; Morrice, Stuart

2010-01-01

The goal of this study is to describe a framework that allows decision makers to efficiently evaluate factors that affect Electronic Health Record (EHR) adoption and test suitable interventions; specifically financial incentives. The United States healthcare delivery system is experiencing a transformation to improve population health. There is strong agreement that "meaningful use" of Health Information Technology (HIT) is a major enabler in this effort. However it's also understood that the high cost of implementing an EHR is an obstacle for adoption. To help understand these complexities we developed a simulation model designed to capture the dynamic nature of policy interventions that affect the adoption of EHR. We found that "Effective" use of HIT approaches break-even-point and larger clinic revenue many times faster that "average" or "poor" use of HIT. This study uses a systems perspective to the evaluate EHR adoption process through the "meaningful use" redesign as proposed in the American Reinvestment and Recovery Act 2009 in the United States healthcare industry by utilizing the System Dynamics methodology and Scenario Analysis.

Facilitating secondary use of medical data by using openEHR archetypes.

PubMed

Kohl, Christian D; Garde, Sebastian; Knaup, Petra

2010-01-01

Clinical trials are of high importance for medical progress. But even though more and more clinical data is available in electronic patient records (EPRs) and more and more electronic data capture (EDC) systems are used in trials, there is still a gap which makes EPR / EDC interoperability difficult and hampers secondary use of medical routine data. The openEHR architecture for Electronic Health Records is based on a two level modeling approach which makes use of 'archetypes'. We want to analyze whether archetypes can help to bridge this gap by building an integrated EPR / EDC system based on openEHR archetypes. We used the 'openEHR Reference Framework and Application' (Opereffa) and existing archetypes for medical data. Furthermore, we developed dedicated archetypes to document study meta data. We developed a first prototype implementation of an archetype based integrated EPR / EDC system. Next steps will be the evaluation of an extended prototype in a real clinical trial scenario. Opereffa was a good starting point for our work. OpenEHR archetypes proved useful for secondary use of health data.

A virtual platform for electronic health record (EHR) education for nursing students: moving from in-house solutions to the cloud.

PubMed

Kushniruk, Andre W; Kuo, Mu-Hsing; Parapini, Eric; Borycki, Elizabeth M

2014-01-01

There is a need to develop cost effective ways to bring hands-on education about essential information technologies, such as electronic health record (EHR) systems to nursing students, nursing faculty and practitioners. This is especially the case as worldwide there is an increased deployment of these systems and they are transforming the practice of healthcare. However, due to technical, financial and knowledge limitations, many nursing schools and programs do not have an adequate way to bring such technology into their classes and curricula. In this paper we describe an approach to developing Web-based EHR education that allows students from any Web-accessible location to access and work with real EHR systems remotely over the Internet for learning purposes. In this paper we describe our work in moving this approach to a cloud-based solution to allow access to EHRs for educational purposes from any location with Web access and to do so in a way that is both educationally sound and cost effective.

Evaluation of Electronic Health Record Implementation in Ophthalmology at an Academic Medical Center (An American Ophthalmological Society Thesis)

PubMed Central

Chiang, Michael F.; Read-Brown, Sarah; Tu, Daniel C.; Choi, Dongseok; Sanders, David S.; Hwang, Thomas S.; Bailey, Steven; Karr, Daniel J.; Cottle, Elizabeth; Morrison, John C.; Wilson, David J.; Yackel, Thomas R.

2013-01-01

Purpose: To evaluate three measures related to electronic health record (EHR) implementation: clinical volume, time requirements, and nature of clinical documentation. Comparison is made to baseline paper documentation. Methods: An academic ophthalmology department implemented an EHR in 2006. A study population was defined of faculty providers who worked the 5 months before and after implementation. Clinical volumes, as well as time length for each patient encounter, were collected from the EHR reporting system. To directly compare time requirements, two faculty providers who utilized both paper and EHR systems completed time-motion logs to record the number of patients, clinic time, and nonclinic time to complete documentation. Faculty providers and databases were queried to identify patient records containing both paper and EHR notes, from which three cases were identified to illustrate representative documentation differences. Results: Twenty-three faculty providers completed 120,490 clinical encounters during a 3-year study period. Compared to baseline clinical volume from 3 months pre-implementation, the post-implementation volume was 88% in quarter 1, 93% in year 1, 97% in year 2, and 97% in year 3. Among all encounters, 75% were completed within 1.7 days after beginning documentation. The mean total time per patient was 6.8 minutes longer with EHR than paper (P<.01). EHR documentation involved greater reliance on textual interpretation of clinical findings, whereas paper notes used more graphical representations, and EHR notes were longer and included automatically generated text. Conclusion: This EHR implementation was associated with increased documentation time, little or no increase in clinical volume, and changes in the nature of ophthalmic documentation. PMID:24167326

Electronic health record use to classify patients with newly diagnosed versus preexisting type 2 diabetes: infrastructure for comparative effectiveness research and population health management.

PubMed

Kudyakov, Rustam; Bowen, James; Ewen, Edward; West, Suzanne L; Daoud, Yahya; Fleming, Neil; Masica, Andrew

2012-02-01

Use of electronic health record (EHR) content for comparative effectiveness research (CER) and population health management requires significant data configuration. A retrospective cohort study was conducted using patients with diabetes followed longitudinally (N=36,353) in the EHR deployed at outpatient practice networks of 2 health care systems. A data extraction and classification algorithm targeting identification of patients with a new diagnosis of type 2 diabetes mellitus (T2DM) was applied, with the main criterion being a minimum 30-day window between the first visit documented in the EHR and the entry of T2DM on the EHR problem list. Chart reviews (N=144) validated the performance of refining this EHR classification algorithm with external administrative data. Extraction using EHR data alone designated 3205 patients as newly diagnosed with T2DM with classification accuracy of 70.1%. Use of external administrative data on that preselected population improved classification accuracy of cases identified as new T2DM diagnosis (positive predictive value was 91.9% with that step). Laboratory and medication data did not help case classification. The final cohort using this 2-stage classification process comprised 1972 patients with a new diagnosis of T2DM. Data use from current EHR systems for CER and disease management mandates substantial tailoring. Quality between EHR clinical data generated in daily care and that required for population health research varies. As evidenced by this process for classification of newly diagnosed T2DM cases, validation of EHR data with external sources can be a valuable step.

Open source electronic health record and patient data management system for intensive care.

PubMed

Massaut, Jacques; Reper, Pascal

2008-01-01

In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed a PDMS and EHR based on open source software and components. The software was designed as a client-server architecture running on the Linux operating system and powered by the PostgreSQL data base system. The client software was developed in C using GTK interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes. Since his deployment in February 2004, the PDMS was used to care more than three thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of the Mirth HL7 communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface. The developed system based on open source software components was able to respond to the medical needs of the local ICU environment. The use of OSS for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.

Managing the Security of Nursing Data in the Electronic Health Record

PubMed Central

Samadbeik, Mahnaz; Gorzin, Zahra; Khoshkam, Masomeh; Roudbari, Masoud

2015-01-01

Background: The Electronic Health Record (EHR) is a patient care information resource for clinicians and nursing documentation is an essential part of comprehensive patient care. Ensuring privacy and the security of health information is a key component to building the trust required to realize the potential benefits of electronic health information exchange. This study was aimed to manage nursing data security in the EHR and also discover the viewpoints of hospital information system vendors (computer companies) and hospital information technology specialists about nursing data security. Methods: This research is a cross sectional analytic-descriptive study. The study populations were IT experts at the academic hospitals and computer companies of Tehran city in Iran. Data was collected by a self-developed questionnaire whose validity and reliability were confirmed using the experts’ opinions and Cronbach’s alpha coefficient respectively. Data was analyzed through Spss Version 18 and by descriptive and analytic statistics. Results: The findings of the study revealed that user name and password were the most important methods to authenticate the nurses, with mean percent of 95% and 80%, respectively, and also the most significant level of information security protection were assigned to administrative and logical controls. There was no significant difference between opinions of both groups studied about the levels of information security protection and security requirements (p>0.05). Moreover the access to servers by authorized people, periodic security update, and the application of authentication and authorization were defined as the most basic security requirements from the viewpoint of more than 88 percent of recently-mentioned participants. Conclusions: Computer companies as system designers and hospitals information technology specialists as systems users and stakeholders present many important views about security requirements for EHR systems and nursing electronic documentation systems. Prioritizing of these requirements helps policy makers to decide what to do when planning for EHR implementation. Therefore, to make appropriate security decisions and to achieve the expected level of protection of the electronic nursing information, it is suggested to consider the priorities of both groups of experts about security principles and also discuss the issues seem to be different between two groups of participants in the research. PMID:25870490

Managing the security of nursing data in the electronic health record.

PubMed

Samadbeik, Mahnaz; Gorzin, Zahra; Khoshkam, Masomeh; Roudbari, Masoud

2015-02-01

The Electronic Health Record (EHR) is a patient care information resource for clinicians and nursing documentation is an essential part of comprehensive patient care. Ensuring privacy and the security of health information is a key component to building the trust required to realize the potential benefits of electronic health information exchange. This study was aimed to manage nursing data security in the EHR and also discover the viewpoints of hospital information system vendors (computer companies) and hospital information technology specialists about nursing data security. This research is a cross sectional analytic-descriptive study. The study populations were IT experts at the academic hospitals and computer companies of Tehran city in Iran. Data was collected by a self-developed questionnaire whose validity and reliability were confirmed using the experts' opinions and Cronbach's alpha coefficient respectively. Data was analyzed through Spss Version 18 and by descriptive and analytic statistics. The findings of the study revealed that user name and password were the most important methods to authenticate the nurses, with mean percent of 95% and 80%, respectively, and also the most significant level of information security protection were assigned to administrative and logical controls. There was no significant difference between opinions of both groups studied about the levels of information security protection and security requirements (p>0.05). Moreover the access to servers by authorized people, periodic security update, and the application of authentication and authorization were defined as the most basic security requirements from the viewpoint of more than 88 percent of recently-mentioned participants. Computer companies as system designers and hospitals information technology specialists as systems users and stakeholders present many important views about security requirements for EHR systems and nursing electronic documentation systems. Prioritizing of these requirements helps policy makers to decide what to do when planning for EHR implementation. Therefore, to make appropriate security decisions and to achieve the expected level of protection of the electronic nursing information, it is suggested to consider the priorities of both groups of experts about security principles and also discuss the issues seem to be different between two groups of participants in the research.

Towards semantic interoperability for electronic health records.

PubMed

Garde, Sebastian; Knaup, Petra; Hovenga, Evelyn; Heard, Sam

2007-01-01

In the field of open electronic health records (EHRs), openEHR as an archetype-based approach is being increasingly recognised. It is the objective of this paper to shortly describe this approach, and to analyse how openEHR archetypes impact on health professionals and semantic interoperability. Analysis of current approaches to EHR systems, terminology and standards developments. In addition to literature reviews, we organised face-to-face and additional telephone interviews and tele-conferences with members of relevant organisations and committees. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability -- both important prerequisites for semantic interoperability. Archetypes enable the formal definition of clinical content by clinicians. To enable comprehensive semantic interoperability, the development and maintenance of archetypes needs to be coordinated internationally and across health professions. Domain knowledge governance comprises a set of processes that enable the creation, development, organisation, sharing, dissemination, use and continuous maintenance of archetypes. It needs to be supported by information technology. To enable EHRs, semantic interoperability is essential. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability. However, without coordinated archetype development and maintenance, 'rank growth' of archetypes would jeopardize semantic interoperability. We therefore believe that openEHR archetypes and domain knowledge governance together create the knowledge environment required to adopt EHRs.

Usability Evaluation of Electronic Health Record System around Clinical Notes Usage-An Ethnographic Study.

PubMed

Rizvi, Rubina F; Marquard, Jenna L; Hultman, Gretchen M; Adam, Terrence J; Harder, Kathleen A; Melton, Genevieve B

2017-10-01

Background A substantial gap exists between current Electronic Health Record (EHR) usability and potential optimal usability. One of the fundamental reasons for this discrepancy is poor incorporation of a User-Centered Design (UCD) approach during the Graphical User Interface (GUI) development process. Objective To evaluate usability strengths and weaknesses of two widely implemented EHR GUIs for critical clinical notes usage tasks. Methods Twelve Internal Medicine resident physicians interacting with one of the two EHR systems (System-1 at Location-A and System-2 at Location-B) were observed by two usability evaluators employing an ethnographic approach. User comments and observer findings were analyzed for two critical tasks: (1) clinical notes entry and (2) related information-seeking tasks. Data were analyzed from two standpoints: (1) usability references categorized by usability evaluators as positive, negative, or equivocal and (2) usability impact of each feature measured through a 7-point severity rating scale. Findings were also validated by user responses to a post observation questionnaire. Results For clinical notes entry, System-1 surpassed System-2 with more positive (26% vs. 12%) than negative (12% vs. 34%) usability references. Greatest impact features on EHR usability (severity score pertaining to each feature) for clinical notes entry were: autopopulation (6), screen options (5.5), communication (5), copy pasting (4.5), error prevention (4.5), edit ability (4), and dictation and transcription (3.5). Both systems performed equally well on information-seeking tasks and features with greatest impacts on EHR usability were navigation for notes (7) and others (e.g., looking for ancillary data; 5.5). Ethnographic observations were supported by follow-up questionnaire responses. Conclusion This study provides usability-specific insights to inform future, improved, EHR interface that is better aligned with UCD approach.

Creating Value: Unifying Silos into Public Health Business Intelligence

PubMed Central

Davidson, Arthur J.

2014-01-01

Introduction: Through September 2014, federal investments in health information technology have been unprecedented, with more than 25 billion dollars in incentive funds distributed to eligible hospitals and providers. Over 85 percent of eligible United States hospitals and 60 percent of eligible providers have used certified electronic health record (EHR) technology and received Meaningful Use incentive funds (HITECH Act1). Technology: Certified EHR technology could create new public health (PH) value through novel and rapidly evolving data-use opportunities, never before experienced by PH. The long-standing “silo” approach to funding has fragmented PH programs and departments,2 but the components for integrated business intelligence (i.e., tools and applications to help users make informed decisions) and maximally reuse data are available now. Systems: Challenges faced by PH agencies on the road to integration are plentiful, but an emphasis on PH systems and services research (PHSSR) may identify gaps and solutions for the PH community to address. Conclusion: Technology and system approaches to leverage this information explosion to support a transformed health care system and population health are proposed. By optimizing this information opportunity, PH can play a greater role in the learning health system. PMID:25995989

Consumers Are Ready to Accept the Transition to Online and Electronic Records If They Can Be Assured of the Security Measures

PubMed Central

Chhanabhai, Prajesh; Holt, Alec

2007-01-01

Background Healthcare has entered the electronic domain. This domain has improved data collection and storage abilities while allowing almost instantaneous access and results to data queries. Furthermore, it allows direct communication between healthcare providers and health consumers. The development of privacy, confidentiality, and security principles are necessary to protect consumers' interests against inappropriate access. Studies have shown that the health consumer is the important stakeholder in this process. With the international push toward electronic health records (EHRs), this article presents the importance of secure EHR systems from the public's perspective. Objective To examine the public's perception of the security of electronic systems and report on how their perceptions can shape the building of stronger systems. Methods A cross-sectional survey (September-November 2005) of people attending healthcare providers (n = 400) was conducted in the 4 major cities in New Zealand. Participants were surveyed on computer use, knowledge of EHR-proposed benefits and issues, security issues, and demographics. Results A total of 300 surveys were completed and returned (a 75% response rate), with 180 (60%) being women. One hundred eighty-eight (62.6%) had not heard of EHRs, with those who had heard of them indicating that they were a positive innovation in the health sector. However, 202 (73.3%) participants were highly concerned about the security and privacy of their health records. This feeling was further accentuated when participants were asked about security of electronic systems. Participants were worried about hackers (79.4%), vendor access (72.7%), and malicious software (68%). Participants were also introduced to various security systems, and in each case, over 80% of participants believed that these would make EHR systems more secure. A number of chi-square tests were carried out with each variable, and it was found that there were strong relationships between age, location, computer use, EHR knowledge, and the concern for privacy and the security of medical records (P < .05). The survey also showed that there was a very small difference (9.8%) between health consumers who believed that paper records are more secure than EHRs and those who believed otherwise. Conclusions The findings showed that for the EHR to be fully integrating in the health sector, there are 2 main issues that need to be addressed: The security of the EHR system has to be of the highest level, and needs to be constantly monitored and updated.The involvement of the health consumer in the ownership and maintenance of their health record needs to be more proactive. The EHR aims to collect information to allow for “cradle to the grave” treatment; thus, the health consumer has to be seen as a major player in ensuring that this can happen correctly. The results from this study indicated that the consumer is ready to accept the transition, as long as one can be assured of the security of the system. PMID:17435617

Consumers are ready to accept the transition to online and electronic records if they can be assured of the security measures.

PubMed

Chhanabhai, Prajesh; Holt, Alec

2007-01-11

Healthcare has entered the electronic domain. This domain has improved data collection and storage abilities while allowing almost instantaneous access and results to data queries. Furthermore, it allows direct communication between healthcare providers and health consumers. The development of privacy, confidentiality, and security principles are necessary to protect consumers' interests against inappropriate access. Studies have shown that the health consumer is the important stakeholder in this process. With the international push toward electronic health records (EHRs), this article presents the importance of secure EHR systems from the public's perspective. To examine the public's perception of the security of electronic systems and report on how their perceptions can shape the building of stronger systems. A cross-sectional survey (September-November 2005) of people attending healthcare providers (n = 400) was conducted in the 4 major cities in New Zealand. Participants were surveyed on computer use, knowledge of EHR-proposed benefits and issues, security issues, and demographics. A total of 300 surveys were completed and returned (a 75% response rate), with 180 (60%) being women. One hundred eighty-eight (62.6%) had not heard of EHRs, with those who had heard of them indicating that they were a positive innovation in the health sector. However, 202 (73.3%) participants were highly concerned about the security and privacy of their health records. This feeling was further accentuated when participants were asked about security of electronic systems. Participants were worried about hackers (79.4%), vendor access (72.7%), and malicious software (68%). Participants were also introduced to various security systems, and in each case, over 80% of participants believed that these would make EHR systems more secure. A number of chi-square tests were carried out with each variable, and it was found that there were strong relationships between age, location, computer use, EHR knowledge, and the concern for privacy and the security of medical records (P < .05). The survey also showed that there was a very small difference (9.8%) between health consumers who believed that paper records are more secure than EHRs and those who believed otherwise. The findings showed that for the EHR to be fully integrating in the health sector, there are 2 main issues that need to be addressed: The security of the EHR system has to be of the highest level, and needs to be constantly monitored and updated. The involvement of the health consumer in the ownership and maintenance of their health record needs to be more proactive. The EHR aims to collect information to allow for "cradle to the grave" treatment; thus, the health consumer has to be seen as a major player in ensuring that this can happen correctly. The results from this study indicated that the consumer is ready to accept the transition, as long as one can be assured of the security of the system.

Interventions to increase physician efficiency and comfort with an electronic health record system.

PubMed

Jalota, L; Aryal, M R; Mahmood, M; Wasser, T; Donato, A

2015-01-01

To determine comfort when using the Electronic Health Record (EHR) and increase in documentation efficiency after an educational intervention for physicians to improve their transition to a new EHR. This study was a single-center randomized, parallel, non-blinded controlled trial of real-time, focused educational interventions by physician peers in addition to usual training in the intervention arm compared with usual training in the control arm. Participants were 44 internal medicine physicians and residents stratified to groups using a survey of comfort with electronic media during rollout of a system-wide EHR and order entry system. Outcomes were median time to complete a progress note, notes completed after shift, and comfort with EHR at 20 and 40 shifts. In the intervention group, 73 education sessions averaging 14.4 (SD: 7.7) minutes were completed with intervention group participants, who received an average of 3.47 (SD: 2.1) interventions. Intervention group participants decreased their time to complete a progress note more quickly than controls over 30 shifts (p < 0.001) and recorded significantly fewer progress notes after scheduled duty hours (77 versus 292, p < 0.001). Comfort with EHRs increased significantly in both groups from baseline but did not differ significantly by group. Intervention group participants felt that the intervention was more helpful than their standard training (3.47 versus 1.95 on 4-point scale). Physicians teaching physicians during clinical work improved physician efficiency but not comfort with EHRs. More study is needed to determine best methods to assist those most challenged with new EHR rollouts.

Unintended adverse consequences of electronic health record introduction to a mature universal HIV screening program.

PubMed

Medford-Davis, Laura N; Yang, Katharine; Pasalar, Siavash; Pillow, M Tyson; Miertschin, Nancy P; Peacock, William F; Giordano, Thomas P; Hoxhaj, Shkelzen

2016-01-01

Early HIV detection and treatment decreases morbidity and mortality and reduces high-risk behaviors. Many Emergency Departments (EDs) have HIV screening programs as recommended by the Centers for Disease Control and Prevention. Recent federal legislation includes incentives for electronic health record (EHR) adoption. Our objective was to analyze the impact of conversion to EHR on a mature ED-based HIV screening program. A retrospective pre- and post-EHR implementation cohort study was conducted in a large urban, academic ED. Medical records were reviewed for HIV screening rates from August 2008 through October 2013. On 1 November 2010, a comprehensive EHR system was implemented throughout the hospital. Before EHR implementation, labs were requested by providers by paper orders with HIV-1/2 automatically pre-selected on every form. This universal ordering protocol was not duplicated in the new EHR; rather it required a provider to manually enter the order. Using a chi-squared test, we compared HIV testing in the 6 months before and after EHR implementation; 55,054 patients presented before, and 50,576 after EHR implementation. Age, sex, race, acuity of presenting condition, and HIV seropositivity rates were similar pre- and post-EHR, and there were no major patient or provider changes during this period. Average HIV testing rate was 37.7% of all ED patients pre-, and 22.3% post-EHR, a 41% decline (p < 0.0001), leading to 167 missed new diagnoses after EHR. The rate of HIV screening in the ED decreased after EHR implementation, and could have been improved with more thoughtful inclusion of existing human processes in its design.

Electronic Health Records: Then, Now, and in the Future

PubMed Central

2016-01-01

Summary Objectives Describe the state of Electronic Health Records (EHRs) in 1992 and their evolution by 2015 and where EHRs are expected to be in 25 years. Further to discuss the expectations for EHRs in 1992 and explore which of them were realized and what events accelerated or disrupted/derailed how EHRs evolved. Methods Literature search based on “Electronic Health Record”, “Medical Record”, and “Medical Chart” using Medline, Google, Wikipedia Medical, and Cochrane Libraries resulted in an initial review of 2,356 abstracts and other information in papers and books. Additional papers and books were identified through the review of references cited in the initial review. Results By 1992, hardware had become more affordable, powerful, and compact and the use of personal computers, local area networks, and the Internet provided faster and easier access to medical information. EHRs were initially developed and used at academic medical facilities but since most have been replaced by large vendor EHRs. While EHR use has increased and clinicians are being prepared to practice in an EHR-mediated world, technical issues have been overshadowed by procedural, professional, social, political, and especially ethical issues as well as the need for compliance with standards and information security. There have been enormous advancements that have taken place, but many of the early expectations for EHRs have not been realized and current EHRs still do not meet the needs of today’s rapidly changing healthcare environment. Conclusion The current use of EHRs initiated by new technology would have been hard to foresee. Current and new EHR technology will help to provide international standards for interoperable applications that use health, social, economic, behavioral, and environmental data to communicate, interpret, and act intelligently upon complex healthcare information to foster precision medicine and a learning health system. PMID:27199197

Improving Service Coordination and Reducing Mental Health Disparities Through Adoption of Electronic Health Records.

PubMed

McGregor, Brian; Mack, Dominic; Wrenn, Glenda; Shim, Ruth S; Holden, Kisha; Satcher, David

2015-09-01

Despite widespread support for removing barriers to the use of electronic health records (EHRs) in behavioral health care, adoption of EHRs in behavioral health settings lags behind adoption in other areas of health care. The authors discuss barriers to use of EHRs among behavioral health care practitioners, suggest solutions to overcome these barriers, and describe the potential benefits of EHRs to reduce behavioral health care disparities. Thoughtful and comprehensive strategies will be needed to design EHR systems that address concerns about policy, practice, costs, and stigma and that protect patients' privacy and confidentiality. However, these goals must not detract from continuing to challenge the notion that behavioral health and general medical health should be treated as separate and distinct. Ultimately, utilization of EHRs among behavioral health care providers will improve the coordination of services and overall patient care, which is essential to reducing mental health disparities.

The good, the bad and the early adopters: providers' attitudes about a common, commercial EHR.

PubMed

Makam, Anil N; Lanham, Holly J; Batchelor, Kim; Moran, Brett; Howell-Stampley, Temple; Kirk, Lynne; Cherukuri, Manjula; Samal, Lipika; Santini, Noel; Leykum, Luci K; Halm, Ethan A

2014-02-01

To describe primary care providers' (PCP) attitudes about the impact of a mature, commercial electronic health records (EHR) on clinical practice in settings with experience using the system and to evaluate whether a provider's propensity to adopt new technologies is associated with more favourable perceptions. We surveyed PCPs in 11 practices affiliated with three health systems in Texas. Most practices had greater than 5 years of experience with the Epic EHR. The effect of early adopter of technology status was evaluated using logistic regression. One hundred forty-six PCPs responded (70%). Most thought the EHR had a positive impact on routine tasks, such as prescription refills (94%), whereas fewer agreed for complex tasks, such as delivery of guideline-concordant care for chronic illnesses (51%). Two-thirds (62%) thought it interfered with eye contact with patients, and 40% reported that it interfered with in-visit communication. Early adopters of technology reported greater positive effects of the EHR, even after adjusting for age, ranging from 2% to 15% higher on satisfaction ratings. PCPs practicing in settings with considerable experience using a common commercial EHR identified many positive effects, as well as two key areas for improvement - patient centredness and intelligent decision support. Providers with a propensity to adopt new technologies have more favourable perceptions of the EHR. © 2013 John Wiley & Sons, Ltd.

Progress along developmental tracks for electronic health records implementation in the United States

PubMed Central

Hollar, David W

2009-01-01

The development and implementation of electronic health records (EHR) have occurred slowly in the United States. To date, these approaches have, for the most part, followed four developmental tracks: (a) Enhancement of immunization registries and linkage with other health records to produce Child Health Profiles (CHP), (b) Regional Health Information Organization (RHIO) demonstration projects to link together patient medical records, (c) Insurance company projects linked to ICD-9 codes and patient records for cost-benefit assessments, and (d) Consortia of EHR developers collaborating to model systems requirements and standards for data linkage. Until recently, these separate efforts have been conducted in the very silos that they had intended to eliminate, and there is still considerable debate concerning health professionals access to as well as commitment to using EHR if these systems are provided. This paper will describe these four developmental tracks, patient rights and the legal environment for EHR, international comparisons, and future projections for EHR expansion across health networks in the United States. PMID:19291284

How to dwell in an EHR. The question concerning architecture EHR.

PubMed

Botin, Lars

2010-01-01

The article deals with architecture and EHRs on a conceptual and philosophical level. Architecture is seen as the essential human expression of being, exemplified through the thoughts and writings of the German architect Gottfried Semper, the American architect Philip Johnson and the German philosopher Martin Heidegger. It is the assumption of the article that the current versions of EHR architectures are the result of a technical and systemic perspective on architecture, as opposed to the thoughts of Semper, Johnson and Heidegger. The article has a value-based and phronetic approach to the topic field, and claims that construction of EHRs should be a matter of concern, and not, as it is for now, a matter of fact.

Leveraging EHR Data for Outcomes and Comparative Effectiveness Research in Oncology

PubMed Central

Harris, Marcelline R.; Buyuktur, Ayse G.; Clark, Patricia M.; An, Lawrence C.; Hanauer, David A.

2012-01-01

Along with the increasing adoption of electronic health records (EHRs) are expectations that data collected within EHRs will be readily available for outcomes and comparative effectiveness research. Yet the ability to effectively share and reuse data depends on implementing and configuring EHRs with these goals in mind from the beginning. Data sharing and integration must be planned both locally as well as nationally. The rich data transmission and semantic infrastructure developed by the National Cancer Institute (NCI) for research provides an excellent example of moving beyond paper-based paradigms and exploiting the power of semantically robust, network-based systems, and engaging both domain and informatics expertise. Similar efforts are required to address current challenges in sharing EHR data. PMID:22948276

Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes

PubMed Central

Legaz-García, María del Carmen; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Chute, Christopher G; Tao, Cui

2015-01-01

Introduction The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a generic, ontology-based, flexible approach for supporting the automatic transformation of clinical models, which is illustrated for the transformation of Clinical Element Models (CEMs) into openEHR archetypes. Methods Our transformation method exploits the fact that the information models of the most relevant EHR specifications are available in the Web Ontology Language (OWL). The transformation approach is based on defining mappings between those ontological structures. We propose a way in which CEM entities can be transformed into openEHR by using transformation templates and OWL as common representation formalism. The transformation architecture exploits the reasoning and inferencing capabilities of OWL technologies. Results We have devised a generic, flexible approach for the transformation of clinical models, implemented for the unidirectional transformation from CEM to openEHR, a series of reusable transformation templates, a proof-of-concept implementation, and a set of openEHR archetypes that validate the methodological approach. Conclusions We have been able to transform CEM into archetypes in an automatic, flexible, reusable transformation approach that could be extended to other clinical model specifications. We exploit the potential of OWL technologies for supporting the transformation process. We believe that our approach could be useful for international efforts in the area of semantic interoperability of EHR systems. PMID:25670753

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

PubMed

Frogner, Bianca K; Wu, Xiaoli; Park, Jeongyoung; Pittman, Patricia

2017-02-01

To assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs). Community health centers within the 50 states and Washington, DC. Estimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit. 2007-2013 Uniform Data System, an administrative data set of Section 330 federal grant recipients; and Readiness for Meaningful Use and HIT and Patient Centered Medical Home Recognition Survey responses collected from Section 330 recipients between December 2010 and February 2011. Having an EHR system did significantly shift the share of workers over time between physicians and each of the other categories of health care workers. While an EHR system significantly shifted the share of physician and other medical staff, this effect did not significantly vary over time. CHCs with EHRs by the end of the study period had a relatively greater proportion of other medical staff compared to the proportion of physicians. Electronic health records appeared to influence staffing allocation in CHCs such that other medical staff may be used to support adoption of EHRs as well as be leveraged as an important care provider. © Health Research and Educational Trust.

Engineering the electronic health record for safety: a multi-level video-based approach to diagnosing and preventing technology-induced error arising from usability problems.

PubMed

Borycki, Elizabeth M; Kushniruk, Andre W; Kuwata, Shigeki; Kannry, Joseph

2011-01-01

Electronic health records (EHRs) promise to improve and streamline healthcare through electronic entry and retrieval of patient data. Furthermore, based on a number of studies showing their positive benefits, they promise to reduce medical error and make healthcare safer. However, a growing body of literature has clearly documented that if EHRS are not designed properly and with usability as an important goal in their design, rather than reducing error, EHR deployment has the potential to actually increase medical error. In this paper we describe our approach to engineering (and reengineering) EHRs in order to increase their beneficial potential while at the same time improving their safety. The approach described in this paper involves an integration of the methods of usability analysis with video analysis of end users interacting with EHR systems and extends the evaluation of the usability of EHRs to include the assessment of the impact of these systems on work practices. Using clinical simulations, we analyze human-computer interaction in real healthcare settings (in a portable, low-cost and high fidelity manner) and include both artificial and naturalistic data collection to identify potential usability problems and sources of technology-induced error prior to widespread system release. Two case studies where the methods we have developed and refined have been applied at different levels of user-computer interaction are described.

Differences in Sociocognitive Beliefs between Involved and Noninvolved Employees during the Implementation of an Electronic Health Record System

PubMed Central

Stanczyk, Nicola Esther; Crutzen, Rik; Sewuster, Nikki; Schotanus, Elwin; Mulders, Merijn; Cremers, Henricus Paul

2017-01-01

Background Electronic health records (EHRs) can improve quality and efficiency in patient care. However, the intention to work with such a new system is often relatively low among employees because the work processes of the healthcare organization may change. Involving employees in an EHR implementation may increase their beliefs and perceived capabilities concerning the new system. The current study aimed to assess the role of involvement and its effects on sociocognitive beliefs regarding the implementation of a new EHR system. Methods The study was performed in June 2015 among all eligible employees of a hospital in the Netherlands. Both involved and noninvolved employees were invited to complete a paper-based questionnaire concerning their sociocognitive beliefs (i.e., attitude, social influence, self-efficacy, and intention) related to the EHR implementation. Independent sample t-tests were used to assess potential differences in sociocognitive beliefs between employees who were involved in the implementation process and those who were not. Effect sizes (Cohen's d) were calculated to indicate the standardized difference between the means. Results A total of 359 participants completed the paper-based questionnaire and were included in the analyses. Involved employees (n = 94) reported significantly higher levels of attitude (p < .001, d = .62), perceived self-efficacy (p = .01, d = .31), social support (p < .001, d = .68), and a higher intention to work with the new EHR system (p < .001, d = .60), compared with the group of employees who were not involved in the implementation process (n = 265). Conclusion Involving employees during an EHR implementation appears to enhance employees’ sociocognitive beliefs and increases their intention to work with the new system. PMID:28566986

Differences in Sociocognitive Beliefs between Involved and Noninvolved Employees during the Implementation of an Electronic Health Record System.

PubMed

Stanczyk, Nicola Esther; Crutzen, Rik; Sewuster, Nikki; Schotanus, Elwin; Mulders, Merijn; Cremers, Henricus Paul

2017-01-01

Electronic health records (EHRs) can improve quality and efficiency in patient care. However, the intention to work with such a new system is often relatively low among employees because the work processes of the healthcare organization may change. Involving employees in an EHR implementation may increase their beliefs and perceived capabilities concerning the new system. The current study aimed to assess the role of involvement and its effects on sociocognitive beliefs regarding the implementation of a new EHR system. The study was performed in June 2015 among all eligible employees of a hospital in the Netherlands. Both involved and noninvolved employees were invited to complete a paper-based questionnaire concerning their sociocognitive beliefs (i.e., attitude, social influence, self-efficacy, and intention) related to the EHR implementation. Independent sample t-tests were used to assess potential differences in sociocognitive beliefs between employees who were involved in the implementation process and those who were not. Effect sizes (Cohen's d ) were calculated to indicate the standardized difference between the means. A total of 359 participants completed the paper-based questionnaire and were included in the analyses. Involved employees ( n = 94) reported significantly higher levels of attitude ( p < .001, d = .62), perceived self-efficacy ( p = .01, d = .31), social support ( p < .001, d = .68), and a higher intention to work with the new EHR system ( p < .001, d = .60), compared with the group of employees who were not involved in the implementation process ( n = 265). Involving employees during an EHR implementation appears to enhance employees' sociocognitive beliefs and increases their intention to work with the new system.

Special requirements for electronic health record systems in ophthalmology.

PubMed

Chiang, Michael F; Boland, Michael V; Brewer, Allen; Epley, K David; Horton, Mark B; Lim, Michele C; McCannel, Colin A; Patel, Sayjal J; Silverstone, David E; Wedemeyer, Linda; Lum, Flora

2011-08-01

The field of ophthalmology has a number of unique features compared with other medical and surgical specialties regarding clinical workflow and data management. This has important implications for the design of electronic health record (EHR) systems that can be used intuitively and efficiently by ophthalmologists and that can promote improved quality of care. Ophthalmologists often lament the absence of these specialty-specific features in EHRs, particularly in systems that were developed originally for primary care physicians or other medical specialists. The purpose of this article is to summarize the special requirements of EHRs that are important for ophthalmology. The hope is that this will help ophthalmologists to identify important features when searching for EHR systems, to stimulate vendors to recognize and incorporate these functions into systems, and to assist federal agencies to develop future guidelines regarding meaningful use of EHRs. More broadly, the American Academy of Ophthalmology believes that these functions are elements of good system design that will improve access to relevant information at the point of care between the ophthalmologist and the patient, will enhance timely communications between primary care providers and ophthalmologists, will mitigate risk, and ultimately will improve the ability of physicians to deliver the highest-quality medical care. Proprietary or commercial interest disclosure may be found after the references. Copyright © 2011 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Impact of a Web-Based Electronic Health Record on Behavioral Health Service Delivery for Children and Adolescents: Randomized Controlled Trial.

PubMed

Bruns, Eric J; Hook, Alyssa N; Parker, Elizabeth M; Esposito, Isabella; Sather, April; Parigoris, Ryan M; Lyon, Aaron R; Hyde, Kelly L

2018-06-14

Electronic health records (EHRs) have been widely proposed as a mechanism for improving health care quality. However, rigorous research on the impact of EHR systems on behavioral health service delivery is scant, especially for children and adolescents. The current study evaluated the usability of an EHR developed to support the implementation of the Wraparound care coordination model for children and youth with complex behavioral health needs, and impact of the EHR on service processes, fidelity, and proximal outcomes. Thirty-four Wraparound facilitators working in two programs in two states were randomized to either use the new EHR (19/34, 56%) or to continue to implement Wraparound services as usual (SAU) using paper-based documentation (15/34, 44%). Key functions of the EHR included standard fields such as youth and family information, diagnoses, assessment data, and progress notes. In addition, there was the maintenance of a coordinated plan of care, progress measurement on strategies and services, communication among team members, and reporting on services, expenditures, and outcomes. All children and youth referred to services for eight months (N=211) were eligible for the study. After excluding those who were ineligible (69/211, 33%) and who declined to participate (59/211, 28%), a total of 83/211 (39%) children and youth were enrolled in the study with 49/211 (23%) in the EHR condition and 34/211 (16%) in the SAU condition. Facilitators serving these youth and families and their supervisors completed measures of EHR usability and appropriateness, supervision processes and activities, work satisfaction, and use of and attitudes toward standardized assessments. Data from facilitators were collected by web survey and, where necessary, by phone interviews. Parents and caregivers completed measures via phone interviews. Related to fidelity and quality of behavioral health care, including Wraparound team climate, working alliance with providers, fidelity to the Wraparound model, and satisfaction with services. EHR-assigned facilitators from both sites demonstrated the robust use of the system. Facilitators in the EHR group reported spending significantly more time reviewing client progress (P=.03) in supervision, and less time overall sending reminders to youth/families (P=.04). A trend toward less time on administrative tasks (P=.098) in supervision was also found. Facilitators in both groups reported significantly increased use of measurement-based care strategies overall, which may reflect cross-group contamination (given that randomization of staff to the EHR occurred within agencies and supervisors supervised both types of staff). Although not significant at P<.05, there was a trend (P=.10) toward caregivers in the EHR group reporting poorer shared agreement on tasks on the measure of working alliance with providers. No other significant between-group differences were found. Results support the proposal that use of EHR systems can promote the use of client progress data and promote efficiency; however, there was little evidence of any impact (positive or negative) on overall service quality, fidelity, or client satisfaction. The field of children's behavioral health services would benefit from additional research on EHR systems using designs that include larger sample sizes and longer follow-up periods. ClinicalTrials.gov NCT02421874; https://clinicaltrials.gov/ct2/show/NCT02421874 (Archived by WebCite at http://www.webcitation.org/6yyGPJ3NA). ©Eric J Bruns, Alyssa N Hook, Elizabeth M Parker, Isabella Esposito, April Sather, Ryan M Parigoris, Aaron R Lyon, Kelly L Hyde. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.06.2018.

Electronic Health Record-Related Safety Concerns: A Cross-Sectional Survey of Electronic Health Record Users

PubMed Central

Pajunen, Tuuli; Saranto, Kaija; Lehtonen, Lasse

2016-01-01

Background The rapid expansion in the use of electronic health records (EHR) has increased the number of medical errors originating in health information systems (HIS). The sociotechnical approach helps in understanding risks in the development, implementation, and use of EHR and health information technology (HIT) while accounting for complex interactions of technology within the health care system. Objective This study addresses two important questions: (1) “which of the common EHR error types are associated with perceived high- and extreme-risk severity ratings among EHR users?”, and (2) “which variables are associated with high- and extreme-risk severity ratings?” Methods This study was a quantitative, non-experimental, descriptive study of EHR users. We conducted a cross-sectional web-based questionnaire study at the largest hospital district in Finland. Statistical tests included the reliability of the summative scales tested with Cronbach’s alpha. Logistic regression served to assess the association of the independent variables to each of the eight risk factors examined. Results A total of 2864 eligible respondents provided the final data. Almost half of the respondents reported a high level of risk related to the error type “extended EHR unavailability”. The lowest overall risk level was associated with “selecting incorrectly from a list of items”. In multivariate analyses, profession and clinical unit proved to be the strongest predictors for high perceived risk. Physicians perceived risk levels to be the highest (P<.001 in six of eight error types), while emergency departments, operating rooms, and procedure units were associated with higher perceived risk levels (P<.001 in four of eight error types). Previous participation in eLearning courses on EHR-use was associated with lower risk for some of the risk factors. Conclusions Based on a large number of Finnish EHR users in hospitals, this study indicates that HIT safety hazards should be taken very seriously, particularly in operating rooms, procedure units, emergency departments, and intensive care units/critical care units. Health care organizations should use proactive and systematic assessments of EHR risks before harmful events occur. An EHR training program should be compulsory for all EHR users in order to address EHR safety concerns resulting from the failure to use HIT appropriately. PMID:27154599

Impact of Electronic Health Records on Long-Term Care Facilities: Systematic Review.

PubMed

Kruse, Clemens Scott; Mileski, Michael; Vijaykumar, Alekhya Ganta; Viswanathan, Sneha Vishnampet; Suskandla, Ujwala; Chidambaram, Yazhini

2017-09-29

Long-term care (LTC) facilities are an important part of the health care industry, providing care to the fastest-growing group of the population. However, the adoption of electronic health records (EHRs) in LTC facilities lags behind other areas of the health care industry. One of the reasons for the lack of widespread adoption in the United States is that LTC facilities are not eligible for incentives under the Meaningful Use program. Implementation of an EHR system in an LTC facility can potentially enhance the quality of care, provided it is appropriately implemented, used, and maintained. Unfortunately, the lag in adoption of the EHR in LTC creates a paucity of literature on the benefits of EHR implementation in LTC facilities. The objective of this systematic review was to identify the potential benefits of implementing an EHR system in LTC facilities. The study also aims to identify the common conditions and EHR features that received favorable remarks from providers and the discrepancies that needed improvement to build up momentum across LTC settings in adopting this technology. The authors conducted a systematic search of PubMed, Cumulative Index of Nursing and Allied Health (CINAHL), and MEDLINE databases. Papers were analyzed by multiple referees to filter out studies not germane to our research objective. A final sample of 28 papers was selected to be included in the systematic review. Results of this systematic review conclude that EHRs show significant improvement in the management of documentation in LTC facilities and enhanced quality outcomes. Approximately 43% (12/28) of the papers reported a mixed impact of EHRs on the management of documentation, and 33% (9/28) of papers reported positive quality outcomes using EHRs. Surprisingly, very few papers demonstrated an impact on patient satisfaction, physician satisfaction, the length of stay, and productivity using EHRs. Overall, implementation of EHRs has been found to be effective in the few LTC facilities that have implemented them. Implementation of EHRs in LTC facilities caused improved management of clinical documentation that enabled better decision making. ©Clemens Scott Kruse, Michael Mileski, Alekhya Ganta Vijaykumar, Sneha Vishnampet Viswanathan, Ujwala Suskandla, Yazhini Chidambaram. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 29.09.2017.

Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs.

PubMed

Tapuria, Archana; Kalra, Dipak; Kobayashi, Shinji

2013-12-01

The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes.

EHRs in primary care practices: benefits, challenges, and successful strategies.

PubMed

Goetz Goldberg, Debora; Kuzel, Anton J; Feng, Lisa Bo; DeShazo, Jonathan P; Love, Linda E

2012-02-01

To understand the current use of electronic health records (EHRs) in small primary care practices and to explore experiences and perceptions of physicians and staff toward the benefits, challenges, and successful strategies for implementation and meaningful use of advanced EHR functions. Qualitative case study of 6 primary care practices in Virginia. We performed surveys and in-depth interviews with clinicians and administrative staff (N = 38) and observed interpersonal relations and use of EHR functions over a 16-month period. Practices with an established EHR were selected based on a maximum variation of quality activities, location, and ownership. Physicians and staff report increased efficiency in retrieving medical records, storing patient information, coordination of care, and office operations. Costs, lack of knowledge of EHR functions, and problems transforming office operations were barriers reported for meaningful use of EHRs. Major disruption to patient care during upgrades and difficulty utilizing performance tracking and quality functions were also reported. Facilitators for adopting and using advanced EHR functions include team-based care, adequate technical support, communication and training for employees and physicians, alternative strategies for patient care during transition, and development of new processes and work flow procedures. Small practices experience difficulty with implementation and utilization of advanced EHR functions. Federal and state policies should continue to support practices by providing technical assistance and financial incentives, grants, and/or loans. Small practices should consider using regional extension center services and reaching out to colleagues and other healthcare organizations with similar EHR systems for advice and guidance.

Clinical Data Systems to Support Public Health Practice: A National Survey of Software and Storage Systems Among Local Health Departments.

PubMed

McCullough, J Mac; Goodin, Kate

2016-01-01

Numerous software and data storage systems are employed by local health departments (LHDs) to manage clinical and nonclinical data needs. Leveraging electronic systems may yield improvements in public health practice. However, information is lacking regarding current usage patterns among LHDs. To analyze clinical and nonclinical data storage and software types by LHDs. Data came from the 2015 Informatics Capacity and Needs Assessment Survey, conducted by Georgia Southern University in collaboration with the National Association of County and City Health Officials. A total of 324 LHDs from all 50 states completed the survey (response rate: 50%). Outcome measures included LHD's primary clinical service data system, nonclinical data system(s) used, and plans to adopt electronic clinical data system (if not already in use). Predictors of interest included jurisdiction size and governance type, and other informatics capacities within the LHD. Bivariate analyses were performed using χ and t tests. Up to 38.4% of LHDs reported using an electronic health record (EHR). Usage was common especially among LHDs that provide primary care and/or dental services. LHDs serving smaller populations and those with state-level governance were both less likely to use an EHR. Paper records were a common data storage approach for both clinical data (28.9%) and nonclinical data (59.4%). Among LHDs without an EHR, 84.7% reported implementation plans. Our findings suggest that LHDs are increasingly using EHRs as a clinical data storage solution and that more LHDs are likely to adopt EHRs in the foreseeable future. Yet use of paper records remains common. Correlates of electronic system usage emerged across a range of factors. Program- or system-specific needs may be barriers or facilitators to EHR adoption. Policy makers can tailor resources to address barriers specific to LHD size, governance, service portfolio, existing informatics capabilities, and other pertinent characteristics.

Model Development for EHR Interdisciplinary Information Exchange of ICU Common Goals

PubMed Central

Collins, Sarah A.; Bakken, Suzanne; Vawdrey, David K.; Coiera, Enrico; Currie, Leanne

2010-01-01

Purpose Effective interdisciplinary exchange of patient information is an essential component of safe, efficient, and patient–centered care in the intensive care unit (ICU). Frequent handoffs of patient care, high acuity of patient illness, and the increasing amount of available data complicate information exchange. Verbal communication can be affected by interruptions and time limitations. To supplement verbal communication, many ICUs rely on documentation in electronic health records (EHRs) to reduce errors of omission and information loss. The purpose of this study was to develop a model of EHR interdisciplinary information exchange of ICU common goals. Methods The theoretical frameworks of distributed cognition and the clinical communication space were integrated and a previously published categorization of verbal information exchange was used. 59.5 hours of interdisciplinary rounds in a Neurovascular ICU were observed and five interviews and one focus group with ICU nurses and physicians were conducted. Results Current documentation tools in the ICU were not sufficient to capture the nurses' and physicians' collaborative decision-making and verbal communication of goal-directed actions and interactions. Clinicians perceived the EHR to be inefficient for information retrieval, leading to a further reliance on verbal information exchange. Conclusion The model suggests that EHRs should support: 1) Information tools for the explicit documentation of goals, interventions, and assessments with synthesized and summarized information outputs of events and updates; and 2) Messaging tools that support collaborative decision-making and patient safety double checks that currently occur between nurses and physicians in the absence of EHR support. PMID:20974549

Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

PubMed

Middleton, Blackford; Bloomrosen, Meryl; Dente, Mark A; Hashmat, Bill; Koppel, Ross; Overhage, J Marc; Payne, Thomas H; Rosenbloom, S Trent; Weaver, Charlotte; Zhang, Jiajie

2013-06-01

In response to mounting evidence that use of electronic medical record systems may cause unintended consequences, and even patient harm, the AMIA Board of Directors convened a Task Force on Usability to examine evidence from the literature and make recommendations. This task force was composed of representatives from both academic settings and vendors of electronic health record (EHR) systems. After a careful review of the literature and of vendor experiences with EHR design and implementation, the task force developed 10 recommendations in four areas: (1) human factors health information technology (IT) research, (2) health IT policy, (3) industry recommendations, and (4) recommendations for the clinician end-user of EHR software. These AMIA recommendations are intended to stimulate informed debate, provide a plan to increase understanding of the impact of usability on the effective use of health IT, and lead to safer and higher quality care with the adoption of useful and usable EHR systems.

Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA

PubMed Central

Middleton, Blackford; Bloomrosen, Meryl; Dente, Mark A; Hashmat, Bill; Koppel, Ross; Overhage, J Marc; Payne, Thomas H; Rosenbloom, S Trent; Weaver, Charlotte; Zhang, Jiajie

2013-01-01

In response to mounting evidence that use of electronic medical record systems may cause unintended consequences, and even patient harm, the AMIA Board of Directors convened a Task Force on Usability to examine evidence from the literature and make recommendations. This task force was composed of representatives from both academic settings and vendors of electronic health record (EHR) systems. After a careful review of the literature and of vendor experiences with EHR design and implementation, the task force developed 10 recommendations in four areas: (1) human factors health information technology (IT) research, (2) health IT policy, (3) industry recommendations, and (4) recommendations for the clinician end-user of EHR software. These AMIA recommendations are intended to stimulate informed debate, provide a plan to increase understanding of the impact of usability on the effective use of health IT, and lead to safer and higher quality care with the adoption of useful and usable EHR systems. PMID:23355463

The EHR-ARCHE project: satisfying clinical information needs in a Shared Electronic Health Record system based on IHE XDS and Archetypes.

PubMed

Duftschmid, Georg; Rinner, Christoph; Kohler, Michael; Huebner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske

2013-12-01

While contributing to an improved continuity of care, Shared Electronic Health Record (EHR) systems may also lead to information overload of healthcare providers. Document-oriented architectures, such as the commonly employed IHE XDS profile, which only support information retrieval at the level of documents, are particularly susceptible for this problem. The objective of the EHR-ARCHE project was to develop a methodology and a prototype to efficiently satisfy healthcare providers' information needs when accessing a patient's Shared EHR during a treatment situation. We especially aimed to investigate whether this objective can be reached by integrating EHR Archetypes into an IHE XDS environment. Using methodical triangulation, we first analysed the information needs of healthcare providers, focusing on the treatment of diabetes patients as an exemplary application domain. We then designed ISO/EN 13606 Archetypes covering the identified information needs. To support a content-based search for fine-grained information items within EHR documents, we extended the IHE XDS environment with two additional actors. Finally, we conducted a formative and summative evaluation of our approach within a controlled study. We identified 446 frequently needed diabetes-specific information items, representing typical information needs of healthcare providers. We then created 128 Archetypes and 120 EHR documents for two fictive patients. All seven diabetes experts, who evaluated our approach, preferred the content-based search to a conventional XDS search. Success rates of finding relevant information was higher for the content-based search (100% versus 80%) and the latter was also more time-efficient (8-14min versus 20min or more). Our results show that for an efficient satisfaction of health care providers' information needs, a content-based search that rests upon the integration of Archetypes into an IHE XDS-based Shared EHR system is superior to a conventional metadata-based XDS search. Copyright © 2013 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

The EHR-ARCHE project: Satisfying clinical information needs in a Shared Electronic Health Record System based on IHE XDS and Archetypes☆

PubMed Central

Duftschmid, Georg; Rinner, Christoph; Kohler, Michael; Huebner-Bloder, Gudrun; Saboor, Samrend; Ammenwerth, Elske

2013-01-01

Purpose While contributing to an improved continuity of care, Shared Electronic Health Record (EHR) systems may also lead to information overload of healthcare providers. Document-oriented architectures, such as the commonly employed IHE XDS profile, which only support information retrieval at the level of documents, are particularly susceptible for this problem. The objective of the EHR-ARCHE project was to develop a methodology and a prototype to efficiently satisfy healthcare providers’ information needs when accessing a patient's Shared EHR during a treatment situation. We especially aimed to investigate whether this objective can be reached by integrating EHR Archetypes into an IHE XDS environment. Methods Using methodical triangulation, we first analysed the information needs of healthcare providers, focusing on the treatment of diabetes patients as an exemplary application domain. We then designed ISO/EN 13606 Archetypes covering the identified information needs. To support a content-based search for fine-grained information items within EHR documents, we extended the IHE XDS environment with two additional actors. Finally, we conducted a formative and summative evaluation of our approach within a controlled study. Results We identified 446 frequently needed diabetes-specific information items, representing typical information needs of healthcare providers. We then created 128 Archetypes and 120 EHR documents for two fictive patients. All seven diabetes experts, who evaluated our approach, preferred the content-based search to a conventional XDS search. Success rates of finding relevant information was higher for the content-based search (100% versus 80%) and the latter was also more time-efficient (8–14 min versus 20 min or more). Conclusions Our results show that for an efficient satisfaction of health care providers’ information needs, a content-based search that rests upon the integration of Archetypes into an IHE XDS-based Shared EHR system is superior to a conventional metadata-based XDS search. PMID:23999002

Dissipation and entropy production in open quantum systems

NASA Astrophysics Data System (ADS)

Majima, H.; Suzuki, A.

2010-11-01

A microscopic description of an open system is generally expressed by the Hamiltonian of the form: Htot = Hsys + Henviron + Hsys-environ. We developed a microscopic theory of entropy and derived a general formula, so-called "entropy-Hamiltonian relation" (EHR), that connects the entropy of the system to the interaction Hamiltonian represented by Hsys-environ for a nonequilibrium open quantum system. To derive the EHR formula, we mapped the open quantum system to the representation space of the Liouville-space formulation or thermo field dynamics (TFD), and thus worked on the representation space Script L := Script H otimes , where Script H denotes the ordinary Hilbert space while the tilde Hilbert space conjugates to Script H. We show that the natural transformation (mapping) of nonequilibrium open quantum systems is accomplished within the theoretical structure of TFD. By using the obtained EHR formula, we also derived the equation of motion for the distribution function of the system. We demonstrated that by knowing the microscopic description of the interaction, namely, the specific form of Hsys-environ on the representation space Script L, the EHR formulas enable us to evaluate the entropy of the system and to gain some information about entropy for nonequilibrium open quantum systems.

Empowering village doctors and enhancing rural healthcare using cloud computing in a rural area of mainland China.

PubMed

Lin, Che-Wei; Abdul, Shabbir Syed; Clinciu, Daniel L; Scholl, Jeremiah; Jin, Xiangdong; Lu, Haifei; Chen, Steve S; Iqbal, Usman; Heineck, Maxwell J; Li, Yu-Chuan

2014-02-01

China's healthcare system often struggles to meet the needs of its 900 million people living in rural areas due to major challenges in preventive medicine and management of chronic diseases. Here we address some of these challenges by equipping village doctors (ViDs) with Health Information Technology and developing an electronic health record (EHR) system which collects individual patient information electronically to aid with implementation of chronic disease management programs. An EHR system based on a cloud-computing architecture was developed and deployed in Xilingol county of Inner Mongolia using various computing resources (hardware and software) to deliver services over the health network using Internet when available. The system supports the work at all levels of the healthcare system, including the work of ViDs in rural areas. An analysis done on 291,087 EHRs created from November 2008 to June 2011 evaluated the impact the EHR system has on preventive medicine and chronic disease management programs in rural China. From 2008 to 2011 health records were created for 291,087 (26.25%) from 1,108,951 total Xilingol residents with 10,240 cases of hypertension and 1152 cases of diabetes diagnosed and registered. Furthermore, 2945 hypertensive and 305 diabetic patients enrolled in follow-up. Implementing the EHR system revealed a high rate of cholecystectomies leading to investigations and findings of drinking water contaminated with metals. Measures were taken to inform the population and clean drinking water was supplied. The cloud-based EHR approach improved the care provision for ViDs in rural China and increased the efficiency of the healthcare system to monitor the health status of the population and to manage preventive care efforts. It also helped discover contaminated water in one of the project areas revealing further benefits if the system is expanded and improved. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

A long-term follow-up evaluation of electronic health record prescribing safety

PubMed Central

Abramson, Erika L; Malhotra, Sameer; Osorio, S Nena; Edwards, Alison; Cheriff, Adam; Cole, Curtis; Kaushal, Rainu

2013-01-01

Objective To be eligible for incentives through the Electronic Health Record (EHR) Incentive Program, many providers using older or locally developed EHRs will be transitioning to new, commercial EHRs. We previously evaluated prescribing errors made by providers in the first year following transition from a locally developed EHR with minimal prescribing clinical decision support (CDS) to a commercial EHR with robust CDS. Following system refinements, we conducted this study to assess the rates and types of errors 2 years after transition and determine the evolution of errors. Materials and methods We conducted a mixed methods cross-sectional case study of 16 physicians at an academic-affiliated ambulatory clinic from April to June 2010. We utilized standardized prescription and chart review to identify errors. Fourteen providers also participated in interviews. Results We analyzed 1905 prescriptions. The overall prescribing error rate was 3.8 per 100 prescriptions (95% CI 2.8 to 5.1). Error rates were significantly lower 2 years after transition (p<0.001 compared to pre-implementation, 12 weeks and 1 year after transition). Rates of near misses remained unchanged. Providers positively appreciated most system refinements, particularly reduced alert firing. Discussion Our study suggests that over time and with system refinements, use of a commercial EHR with advanced CDS can lead to low prescribing error rates, although more serious errors may require targeted interventions to eliminate them. Reducing alert firing frequency appears particularly important. Our results provide support for federal efforts promoting meaningful use of EHRs. Conclusions Ongoing error monitoring can allow CDS to be optimally tailored and help achieve maximal safety benefits. Clinical Trials Registration ClinicalTrials.gov, Identifier: NCT00603070. PMID:23578816

Analysis of STAT laboratory turnaround times before and after conversion of the hospital information system.

PubMed

Lowe, Gary R; Griffin, Yolanda; Hart, Michael D

2014-08-01

Modern electronic health record systems (EHRS) reportedly offer advantages including improved quality, error prevention, cost reduction, and increased efficiency. This project reviewed the impact on specimen turnaround times (TAT) and percent compliance for specimens processed in a STAT laboratory after implementation of an upgraded EHRS. Before EHRS implementation, laboratory personnel received instruction and training for specimen processing. One laboratory member per shift received additional training. TAT and percent compliance data sampling occurred 4 times monthly for 13 months post-conversion and were compared with the mean of data collected for 3 months pre-conversion. Percent compliance was gauged using a benchmark of reporting 95% of all specimens within 7 min from receipt. Control charts were constructed for TAT and percent compliance with control limits set at 2 SD and applied continuously through the data collection period. TAT recovered to pre-conversion levels by the 6th month post-conversion. Percent compliance consistently returned to pre-conversion levels by the 10th month post-conversion. Statistical analyses revealed the TAT were significantly longer for 3 months post-conversion (P < .001) compared with pre-conversion levels. Statistical significance was not observed for subsequent groups. Percent compliance results were significantly lower for 6 months post-conversion (P < .001). Statistical significance was not observed for subsequent groups. Extensive efforts were made to train and prepare personnel for challenges expected after the EHRS upgrade. Specific causes identified with the upgraded EHRS included multiple issues involving personnel and the EHRS. These data suggest that system and user issues contributed to delays in returning to pre-conversion TAT and percent compliance levels following the upgrade in the EHRS.

Implementation of workflow engine technology to deliver basic clinical decision support functionality.

PubMed

Huser, Vojtech; Rasmussen, Luke V; Oberg, Ryan; Starren, Justin B

2011-04-10

Workflow engine technology represents a new class of software with the ability to graphically model step-based knowledge. We present application of this novel technology to the domain of clinical decision support. Successful implementation of decision support within an electronic health record (EHR) remains an unsolved research challenge. Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption. We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic. We present our implementation of a workflow engine technology that addresses the two above-described challenges in delivering clinical decision support. Our system is based on a cross-industry standard of XML (extensible markup language) process definition language (XPDL). The core components of the system are a workflow editor for modeling clinical scenarios and a workflow engine for execution of those scenarios. We demonstrate, with an open-source and publicly available workflow suite, that clinical decision support logic can be executed on retrospective data. The same flowchart-based representation can also function in a prospective mode where the system can be integrated with an EHR system and respond to real-time clinical events. We limit the scope of our implementation to decision support content generation (which can be EHR system vendor independent). We do not focus on supporting complex decision support content delivery mechanisms due to lack of standardization of EHR systems in this area. We present results of our evaluation of the flowchart-based graphical notation as well as architectural evaluation of our implementation using an established evaluation framework for clinical decision support architecture. We describe an implementation of a free workflow technology software suite (available at http://code.google.com/p/healthflow) and its application in the domain of clinical decision support. Our implementation seamlessly supports clinical logic testing on retrospective data and offers a user-friendly knowledge representation paradigm. With the presented software implementation, we demonstrate that workflow engine technology can provide a decision support platform which evaluates well against an established clinical decision support architecture evaluation framework. Due to cross-industry usage of workflow engine technology, we can expect significant future functionality enhancements that will further improve the technology's capacity to serve as a clinical decision support platform.

IHE cross-enterprise document sharing for imaging: interoperability testing software

PubMed Central

2010-01-01

Background With the deployments of Electronic Health Records (EHR), interoperability testing in healthcare is becoming crucial. EHR enables access to prior diagnostic information in order to assist in health decisions. It is a virtual system that results from the cooperation of several heterogeneous distributed systems. Interoperability between peers is therefore essential. Achieving interoperability requires various types of testing. Implementations need to be tested using software that simulates communication partners, and that provides test data and test plans. Results In this paper we describe a software that is used to test systems that are involved in sharing medical images within the EHR. Our software is used as part of the Integrating the Healthcare Enterprise (IHE) testing process to test the Cross Enterprise Document Sharing for imaging (XDS-I) integration profile. We describe its architecture and functionalities; we also expose the challenges encountered and discuss the elected design solutions. Conclusions EHR is being deployed in several countries. The EHR infrastructure will be continuously evolving to embrace advances in the information technology domain. Our software is built on a web framework to allow for an easy evolution with web technology. The testing software is publicly available; it can be used by system implementers to test their implementations. It can also be used by site integrators to verify and test the interoperability of systems, or by developers to understand specifications ambiguities, or to resolve implementations difficulties. PMID:20858241

IHE cross-enterprise document sharing for imaging: interoperability testing software.

PubMed

Noumeir, Rita; Renaud, Bérubé

2010-09-21

With the deployments of Electronic Health Records (EHR), interoperability testing in healthcare is becoming crucial. EHR enables access to prior diagnostic information in order to assist in health decisions. It is a virtual system that results from the cooperation of several heterogeneous distributed systems. Interoperability between peers is therefore essential. Achieving interoperability requires various types of testing. Implementations need to be tested using software that simulates communication partners, and that provides test data and test plans. In this paper we describe a software that is used to test systems that are involved in sharing medical images within the EHR. Our software is used as part of the Integrating the Healthcare Enterprise (IHE) testing process to test the Cross Enterprise Document Sharing for imaging (XDS-I) integration profile. We describe its architecture and functionalities; we also expose the challenges encountered and discuss the elected design solutions. EHR is being deployed in several countries. The EHR infrastructure will be continuously evolving to embrace advances in the information technology domain. Our software is built on a web framework to allow for an easy evolution with web technology. The testing software is publicly available; it can be used by system implementers to test their implementations. It can also be used by site integrators to verify and test the interoperability of systems, or by developers to understand specifications ambiguities, or to resolve implementations difficulties.

Integrating Genomic Resources with Electronic Health Records using the HL7 Infobutton Standard

PubMed Central

Overby, Casey Lynnette; Del Fiol, Guilherme; Rubinstein, Wendy S.; Maglott, Donna R.; Nelson, Tristan H.; Milosavljevic, Aleksandar; Martin, Christa L.; Goehringer, Scott R.; Freimuth, Robert R.; Williams, Marc S.

2016-01-01

Summary Background The Clinical Genome Resource (ClinGen) Electronic Health Record (EHR) Workgroup aims to integrate ClinGen resources with EHRs. A promising option to enable this integration is through the Health Level Seven (HL7) Infobutton Standard. EHR systems that are certified according to the US Meaningful Use program provide HL7-compliant infobutton capabilities, which can be leveraged to support clinical decision-making in genomics. Objectives To integrate genomic knowledge resources using the HL7 infobutton standard. Two tactics to achieve this objective were: (1) creating an HL7-compliant search interface for ClinGen, and (2) proposing guidance for genomic resources on achieving HL7 Infobutton standard accessibility and compliance. Methods We built a search interface utilizing OpenInfobutton, an open source reference implementation of the HL7 Infobutton standard. ClinGen resources were assessed for readiness towards HL7 compliance. Finally, based upon our experiences we provide recommendations for publishers seeking to achieve HL7 compliance. Results Eight genomic resources and two sub-resources were integrated with the ClinGen search engine via OpenInfobutton and the HL7 infobutton standard. Resources we assessed have varying levels of readiness towards HL7-compliance. Furthermore, we found that adoption of standard terminologies used by EHR systems is the main gap to achieve compliance. Conclusion Genomic resources can be integrated with EHR systems via the HL7 Infobutton standard using OpenInfobutton. Full compliance of genomic resources with the Infobutton standard would further enhance interoperability with EHR systems. PMID:27579472

Electronic Health Records Data and Metadata: Challenges for Big Data in the United States.

PubMed

Sweet, Lauren E; Moulaison, Heather Lea

2013-12-01

This article, written by researchers studying metadata and standards, represents a fresh perspective on the challenges of electronic health records (EHRs) and serves as a primer for big data researchers new to health-related issues. Primarily, we argue for the importance of the systematic adoption of standards in EHR data and metadata as a way of promoting big data research and benefiting patients. EHRs have the potential to include a vast amount of longitudinal health data, and metadata provides the formal structures to govern that data. In the United States, electronic medical records (EMRs) are part of the larger EHR. EHR data is submitted by a variety of clinical data providers and potentially by the patients themselves. Because data input practices are not necessarily standardized, and because of the multiplicity of current standards, basic interoperability in EHRs is hindered. Some of the issues with EHR interoperability stem from the complexities of the data they include, which can be both structured and unstructured. A number of controlled vocabularies are available to data providers. The continuity of care document standard will provide interoperability in the United States between the EMR and the larger EHR, potentially making data input by providers directly available to other providers. The data involved is nonetheless messy. In particular, the use of competing vocabularies such as the Systematized Nomenclature of Medicine-Clinical Terms, MEDCIN, and locally created vocabularies inhibits large-scale interoperability for structured portions of the records, and unstructured portions, although potentially not machine readable, remain essential. Once EMRs for patients are brought together as EHRs, the EHRs must be managed and stored. Adequate documentation should be created and maintained to assure the secure and accurate use of EHR data. There are currently a few notable international standards initiatives for EHRs. Organizations such as Health Level Seven International and Clinical Data Interchange Standards Consortium are developing and overseeing implementation of interoperability standards. Denmark and Singapore are two countries that have successfully implemented national EHR systems. Future work in electronic health information initiatives should underscore the importance of standards and reinforce interoperability of EHRs for big data research and for the sake of patients.

The use of open source electronic health records within the federal safety net.

PubMed

Goldwater, Jason C; Kwon, Nancy J; Nathanson, Ashley; Muckle, Alison E; Brown, Alexa; Cornejo, Kerri

2014-01-01

To conduct a federally funded study that examines the acquisition, implementation and operation of open source electronic health records (EHR) within safety net medical settings, such as federally qualified health centers (FQHC). The study was conducted by the National Opinion Research Center (NORC) at the University of Chicago from April to September 2010. The NORC team undertook a comprehensive environmental scan, including a literature review, a dozen key informant interviews using a semistructured protocol, and a series of site visits to West Virginia, California and Arizona FQHC that were currently using an open source EHR. Five of the six sites that were chosen as part of the study found a number of advantages in the use of their open source EHR system, such as utilizing a large community of users and developers to modify their EHR to fit the needs of their provider and patient communities, and lower acquisition and implementation costs as compared to a commercial system. Despite these advantages, many of the informants and site visit participants felt that widespread dissemination and use of open source was restrained due to a negative connotation regarding this type of software. In addition, a number of participants stated that there is a necessary level of technical acumen needed within the FQHC to make an open source EHR effective. An open source EHR provides advantages for FQHC that have limited resources to acquire and implement an EHR, but additional study is needed to evaluate its overall effectiveness.

Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.

PubMed

Legaz-García, María del Carmen; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Chute, Christopher G; Tao, Cui

2015-05-01

The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a generic, ontology-based, flexible approach for supporting the automatic transformation of clinical models, which is illustrated for the transformation of Clinical Element Models (CEMs) into openEHR archetypes. Our transformation method exploits the fact that the information models of the most relevant EHR specifications are available in the Web Ontology Language (OWL). The transformation approach is based on defining mappings between those ontological structures. We propose a way in which CEM entities can be transformed into openEHR by using transformation templates and OWL as common representation formalism. The transformation architecture exploits the reasoning and inferencing capabilities of OWL technologies. We have devised a generic, flexible approach for the transformation of clinical models, implemented for the unidirectional transformation from CEM to openEHR, a series of reusable transformation templates, a proof-of-concept implementation, and a set of openEHR archetypes that validate the methodological approach. We have been able to transform CEM into archetypes in an automatic, flexible, reusable transformation approach that could be extended to other clinical model specifications. We exploit the potential of OWL technologies for supporting the transformation process. We believe that our approach could be useful for international efforts in the area of semantic interoperability of EHR systems. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Healthcare information technology's relativity problems: a typology of how patients' physical reality, clinicians' mental models, and healthcare information technology differ.

PubMed

Smith, Sean W; Koppel, Ross

2014-01-01

To model inconsistencies or distortions among three realities: patients' physical reality; clinicians' mental models of patients' conditions, laboratories, etc; representation of that reality in electronic health records (EHR). To serve as a potential tool for quality improvement of EHRs. Using observations, literature, information technology (IT) logs, vendor and US Food and Drug Administration reports, we constructed scenarios/models of how patients' realities, clinicians' mental models, and EHRs can misalign to produce distortions in comprehension and treatment. We then categorized them according to an emergent typology derived from the cases themselves and refined the categories based on insights gained from the literature of interactive sociotechnical systems analysis, decision support science, and human computer interaction. Typical of grounded theory methods, the categories underwent repeated modifications. We constructed 45 scenarios of misalignment between patients' physical realities, clinicians' mental models, and EHRs. We then identified five general types of misrepresentation in these cases: IT data too narrowly focused; IT data too broadly focused; EHRs miss critical reality; data multiplicities-perhaps contradictory or confusing; distortions from data reflected back and forth across users, sensors, and others. The 45 scenarios are presented, organized by the five types. With humans, there is a physical reality and actors' mental models of that reality. In healthcare, there is another player: the EHR/healthcare IT, which implicitly and explicitly reflects many mental models, facets of reality, and measures thereof that vary in reliability and consistency. EHRs are both microcosms and shapers of medical care. Our typology and scenarios are intended to be useful to healthcare IT designers and implementers in improving EHR systems and reducing the unintended negative consequences of their use.

New Paradigms for Patient-Centered Outcomes Research in Electronic Medical Records: An Example of Detecting Urinary Incontinence Following Prostatectomy.

PubMed

Hernandez-Boussard, Tina; Tamang, Suzanne; Blayney, Douglas; Brooks, Jim; Shah, Nigam

2016-01-01

National initiatives to develop quality metrics emphasize the need to include patient-centered outcomes. Patient-centered outcomes are complex, require documentation of patient communications, and have not been routinely collected by healthcare providers. The widespread implementation of electronic medical records (EHR) offers opportunities to assess patient-centered outcomes within the routine healthcare delivery system. The objective of this study was to test the feasibility and accuracy of identifying patient centered outcomes within the EHR. Data from patients with localized prostate cancer undergoing prostatectomy were used to develop and test algorithms to accurately identify patient-centered outcomes in post-operative EHRs - we used urinary incontinence as the use case. Standard data mining techniques were used to extract and annotate free text and structured data to assess urinary incontinence recorded within the EHRs. A total 5,349 prostate cancer patients were identified in our EHR-system between 1998-2013. Among these EHRs, 30.3% had a text mention of urinary incontinence within 90 days post-operative compared to less than 1.0% with a structured data field for urinary incontinence (i.e. ICD-9 code). Our workflow had good precision and recall for urinary incontinence (positive predictive value: 0.73 and sensitivity: 0.84). Our data indicate that important patient-centered outcomes, such as urinary incontinence, are being captured in EHRs as free text and highlight the long-standing importance of accurate clinician documentation. Standard data mining algorithms can accurately and efficiently identify these outcomes in existing EHRs; the complete assessment of these outcomes is essential to move practice into the patient-centered realm of healthcare.

Use of electronic health records by child primary healthcare providers in Europe.

PubMed

Grossman, Z; Del Torso, S; van Esso, D; Ehrich, J H H; Altorjai, P; Mazur, A; Wyder, C; Neves, A M; Dornbusch, H J; Jaeger Roman, E; Santucci, A; Hadjipanayis, A

2016-11-01

There is limited data on the use and functionality level of electronic health records (EHRs) supporting primary child health care in Europe. Our objective was to determine European primary child healthcare providers' use of EHRs, and functionality level of the systems used. European primary care paediatricians, paediatric subspecialists and family doctors were invited by European Academy of Paediatrics Research in Ambulatory Setting Network (EAPRASnet) country coordinators to complete a web-based survey on the use of EHRs and the systems' functionalities. Binomial logistic analysis has been used to evaluate the effect of specialty and type of practice on the use of EHRs. The survey was completed by 679 child primary healthcare providers (response rate 53%). Five hundred and fifty four responses coming from 10 predominant countries were taken for further analysis. EHR use by respondents varied widely between countries, all electronic type use ranging between 7% and 97%. There was no significant difference in EHR use between group practice and solo practitioners, or between family doctors and primary care paediatricians. History and physical examination can be properly recorded by respondents in most countries. However, growth chart plotting capacity in some countries ranges between 22% and 50%. Vaccination recording capacity varies between 50% and 100%, and data exchange capacity with immunization databases is mostly limited, ranging between 0% and 54%. There is marked heterogeneity in the use and functionalities of EHRs used among child primary child healthcare providers in Europe. More importantly, lack of critical paediatric supportive functionalities like growth tracking and vaccination status has been documented in some countries. There is a need to explore the reasons for these findings, and to develop a cross European paediatric EHR standards. © 2016 John Wiley & Sons Ltd.

Does adoption of electronic health records improve the quality of care management in France? Results from the French e-SI (PREPS-SIPS) study.

PubMed

Plantier, Morgane; Havet, Nathalie; Durand, Thierry; Caquot, Nicolas; Amaz, Camille; Biron, Pierre; Philip, Irène; Perrier, Lionel

2017-06-01

Electronic health records (EHR) are increasingly being adopted by healthcare systems worldwide. In France, the "Hôpital numérique 2012-2017" program was implemented as part of a strategic plan to modernize health information technology (HIT), including the promotion of widespread EHR use. With significant upfront investment costs as well as ongoing operational expenses, it is important to assess this system in terms of its ability to result in improvements in hospital performances. The aim of this study was to evaluate the impact of EHR use on the quality of care management in acute care hospitals throughout France. This retrospective study was based on data derived from three national databases for the year 2011: IPAQSS (indicators of improvement in the quality and the management of healthcare, "IPAQSS"), Hospi-Diag (French hospital performance indicators), and the national accreditation database. Several multivariate models were used to examine the association between the use of EHRs and specific EHR features with four quality indicators: the quality of patient record, the delay in sending information at hospital discharge, the pain status evaluation, and the nutritional status evaluation, while also adjusting for hospital characteristics. The models revealed a significant positive impact of EHR use on the four quality indicators. Additionally, they showed a differential impact according to the functionality of the element of the health record that was computerized. All four quality indicators were also impacted by the type of hospital, the geographical region, and the severity of the pathology. These results suggest that, to improve the quality of care management in hospitals, EHR adoption represents an important lever. They complete previous work dealing with EHR and the organizational performance of hospital surgical units. Copyright © 2017 Elsevier B.V. All rights reserved.

Evaluating quality of care for patients with type 2 diabetes using electronic health record information in Mexico

PubMed Central

2012-01-01

Background Several low and middle-income countries are implementing electronic health records (EHR). In the near future, EHRs could become an efficient tool to evaluate healthcare performance if appropriate indicators are developed. The aims of this study are: a) to develop quality of care indicators (QCIs) for type 2 diabetes (T2DM) in the Mexican Institute of Social Security (IMSS) health system; b) to determine the feasibility of constructing QCIs using the IMSS EHR data; and c) to evaluate the quality of care (QC) provided to IMSS patients with T2DM. Methods We used a three-stage mixed methods approach: a) development of QCIs following the RAND-UCLA method; b) EHR data extraction and construction of indicators; c) QC evaluation using EHR data from 25,130 T2DM patients who received care in 2009. Results We developed 18 QCIs, of which 14 were possible to construct using available EHR data. QCIs comprised both process of care and health outcomes. Several flaws in the EHR design and quality of data were identified. The indicators of process and outcomes of care suggested areas for improvement. For example, only 13.0% of patients were referred to an ophthalmologist; 3.9% received nutritional counseling; 63.2% of overweight/obese patients were prescribed metformin, and only 23% had HbA1c <7% (or plasma glucose ≤130 mg/dl). Conclusions EHR data can be used to evaluate QC. The results identified both strengths and weaknesses in the electronic information system as well as in the process and outcomes of T2DM care at IMSS. This information can be used to guide targeted interventions to improve QC. PMID:22672471

Electronic health records: critical success factors in implementation.

PubMed

Safdari, Reza; Ghazisaeidi, Marjan; Jebraeily, Mohamad

2015-04-01

EHR implementation results in the improved quality of care, customer-orientation and timely access to complete information. Despite the potential benefits of EHR, its implementation is a difficult and complex task whose success depends on many factors. The purpose of this research is indeed to identify the key success factors of EHR. This is a cross-sectional survey conducted with participation of 340 work forces from different types of job from Hospitals of TUMS in 2014. Data were collected using a self-structured questionnaire which was estimated as both reliable and valid. The data were analyzed by SPSS software descriptive statistics and analytical statistics. 58.2% of respondents were female and their mean age and work experience were 37.7 and 11.2 years, respectively and most respondents (52.5%) was bachelor. In terms of job, the maximum rate was related to nursing (33 %) and physician (21 %). the main category of critical success factors in Implementation EHRs, the highest rate related to Project Management (4.62) and lowest related to Organizational factors (3.98). success in implementation EHRs requirement more centralization to project management and human factors. Therefore must be Creating to EHR roadmap implementation, establishment teamwork to participation of end-users and select prepare leadership, users obtains sufficient training to use of system and also prepare support from maintain and promotion system.

Utilizing IHE-based Electronic Health Record systems for secondary use.

PubMed

Holzer, K; Gall, W

2011-01-01

Due to the increasing adoption of Electronic Health Records (EHRs) for primary use, the number of electronic documents stored in such systems will soar in the near future. In order to benefit from this development in secondary fields such as medical research, it is important to define requirements for the secondary use of EHR data. Furthermore, analyses of the extent to which an IHE (Integrating the Healthcare Enterprise)-based architecture would fulfill these requirements could provide further information on upcoming obstacles for the secondary use of EHRs. A catalog of eight core requirements for secondary use of EHR data was deduced from the published literature, the risk analysis of the IHE profile MPQ (Multi-Patient Queries) and the analysis of relevant questions. The IHE-based architecture for cross-domain, patient-centered document sharing was extended to a cross-patient architecture. We propose an IHE-based architecture for cross-patient and cross-domain secondary use of EHR data. Evaluation of this architecture concerning the eight core requirements revealed positive fulfillment of six and the partial fulfillment of two requirements. Although not regarded as a primary goal in modern electronic healthcare, the re-use of existing electronic medical documents in EHRs for research and other fields of secondary application holds enormous potential for the future. Further research in this respect is necessary.

Exploring the sociotechnical intersection of patient safety and electronic health record implementation

PubMed Central

Meeks, Derek W; Takian, Amirhossein; Sittig, Dean F; Singh, Hardeep; Barber, Nick

2014-01-01

Objective The intersection of electronic health records (EHR) and patient safety is complex. To examine the applicability of two previously developed conceptual models comprehensively to understand safety implications of EHR implementation in the English National Health Service (NHS). Methods We conducted a secondary analysis of interview data from a 30-month longitudinal, prospective, case study-based evaluation of EHR implementation in 12 NHS hospitals. We used a framework analysis approach to apply conceptual models developed by Sittig and Singh to understand better EHR implementation and use: an eight-dimension sociotechnical model and a three-phase patient safety model (safe technology, safe use of technology, and use of technology to improve safety). Results The intersection of patient safety and EHR implementation and use was characterized by risks involving technology (hardware and software, clinical content, and human–computer interfaces), the interaction of technology with non-technological factors, and improper or unsafe use of technology. Our data support that patient safety improvement activities as well as patient safety hazards change as an organization evolves from concerns about safe EHR functionality, ensuring safe and appropriate EHR use, to using the EHR itself to provide ongoing surveillance and monitoring of patient safety. Discussion We demonstrate the face validity of two models for understanding the sociotechnical aspects of safe EHR implementation and the complex interactions of technology within a healthcare system evolving from paper to integrated EHR. Conclusions Using sociotechnical models, including those presented in this paper, may be beneficial to help stakeholders understand, synthesize, and anticipate risks at the intersection of patient safety and health information technology. PMID:24052536

The next step towards making use meaningful: electronic information exchange and care coordination across clinicians and delivery sites.

PubMed

Graetz, Ilana; Reed, Mary; Shortell, Stephen M; Rundall, Thomas G; Bellows, Jim; Hsu, John

2014-12-01

Care for patients with chronic conditions often requires coordination between multiple physicians and delivery sites. Electronic Health Record (EHR) use could improve care quality and efficiency in part by facilitating care coordination. We examined the association between EHR use and clinician perceptions of care coordination for patients transferred across clinicians and delivery sites. Repeated surveys of primary care clinicians during the staggered implementation of an outpatient EHR (2005-2008), followed by an integrated inpatient EHR (2006-2010). We measured the association between EHR use stages (no use, outpatient EHR only, and integrated inpatient-outpatient EHR) and care coordination using logistic regression, adjusting for clinician characteristics, study year, and medical center. Adult primary care clinicians in a large Integrated Delivery System. Three measures of clinician-reported care coordination for patient care transferred across clinicians (eg, from specialist to primary care team) and across delivery sites (eg, from the hospital to outpatient care). Outpatient EHR use was associated with higher reports of access to complete and timely clinical information and higher agreement on clinician roles and responsibilities for patients transferred across clinicians, but not for patients transferred across delivery sites. Use of the integrated outpatient-inpatient EHR was associated with higher reports of access to timely and complete clinical information, clinician agreement on the patient's treatment plan for patients transferred across delivery sites, and with all coordination measures for patients transferred across clinicians. Use of an integrated EHR with health information exchange across delivery settings improved patient care coordination.

Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs

PubMed Central

Kalra, Dipak; Kobayashi, Shinji

2013-01-01

Objectives The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. Methods Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. Results The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. Conclusions Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes. PMID:24523993

Exploring the sociotechnical intersection of patient safety and electronic health record implementation.

PubMed

Meeks, Derek W; Takian, Amirhossein; Sittig, Dean F; Singh, Hardeep; Barber, Nick

2014-02-01

The intersection of electronic health records (EHR) and patient safety is complex. To examine the applicability of two previously developed conceptual models comprehensively to understand safety implications of EHR implementation in the English National Health Service (NHS). We conducted a secondary analysis of interview data from a 30-month longitudinal, prospective, case study-based evaluation of EHR implementation in 12 NHS hospitals. We used a framework analysis approach to apply conceptual models developed by Sittig and Singh to understand better EHR implementation and use: an eight-dimension sociotechnical model and a three-phase patient safety model (safe technology, safe use of technology, and use of technology to improve safety). The intersection of patient safety and EHR implementation and use was characterized by risks involving technology (hardware and software, clinical content, and human-computer interfaces), the interaction of technology with non-technological factors, and improper or unsafe use of technology. Our data support that patient safety improvement activities as well as patient safety hazards change as an organization evolves from concerns about safe EHR functionality, ensuring safe and appropriate EHR use, to using the EHR itself to provide ongoing surveillance and monitoring of patient safety. We demonstrate the face validity of two models for understanding the sociotechnical aspects of safe EHR implementation and the complex interactions of technology within a healthcare system evolving from paper to integrated EHR. Using sociotechnical models, including those presented in this paper, may be beneficial to help stakeholders understand, synthesize, and anticipate risks at the intersection of patient safety and health information technology.

Examining the Relationship between Electronic Health Record Interoperability and Quality Management

ERIC Educational Resources Information Center

Purcell, Bernice M.

2013-01-01

A lack of interoperability impairs data quality among health care providers' electronic health record (EHR) systems. The problem is whether the International Organization for Standardization (ISO) 9000 principles relate to the problem of interoperability in implementation of EHR systems. The purpose of the nonexperimental quantitative research…

A Scalable Data Access Layer to Manage Structured Heterogeneous Biomedical Data

PubMed Central

Lianas, Luca; Frexia, Francesca; Zanetti, Gianluigi

2016-01-01

This work presents a scalable data access layer, called PyEHR, designed to support the implementation of data management systems for secondary use of structured heterogeneous biomedical and clinical data. PyEHR adopts the openEHR’s formalisms to guarantee the decoupling of data descriptions from implementation details and exploits structure indexing to accelerate searches. Data persistence is guaranteed by a driver layer with a common driver interface. Interfaces for two NoSQL Database Management Systems are already implemented: MongoDB and Elasticsearch. We evaluated the scalability of PyEHR experimentally through two types of tests, called “Constant Load” and “Constant Number of Records”, with queries of increasing complexity on synthetic datasets of ten million records each, containing very complex openEHR archetype structures, distributed on up to ten computing nodes. PMID:27936191

Fine-grained Database Field Search Using Attribute-Based Encryption for E-Healthcare Clouds.

PubMed

Guo, Cheng; Zhuang, Ruhan; Jie, Yingmo; Ren, Yizhi; Wu, Ting; Choo, Kim-Kwang Raymond

2016-11-01

An effectively designed e-healthcare system can significantly enhance the quality of access and experience of healthcare users, including facilitating medical and healthcare providers in ensuring a smooth delivery of services. Ensuring the security of patients' electronic health records (EHRs) in the e-healthcare system is an active research area. EHRs may be outsourced to a third-party, such as a community healthcare cloud service provider for storage due to cost-saving measures. Generally, encrypting the EHRs when they are stored in the system (i.e. data-at-rest) or prior to outsourcing the data is used to ensure data confidentiality. Searchable encryption (SE) scheme is a promising technique that can ensure the protection of private information without compromising on performance. In this paper, we propose a novel framework for controlling access to EHRs stored in semi-trusted cloud servers (e.g. a private cloud or a community cloud). To achieve fine-grained access control for EHRs, we leverage the ciphertext-policy attribute-based encryption (CP-ABE) technique to encrypt tables published by hospitals, including patients' EHRs, and the table is stored in the database with the primary key being the patient's unique identity. Our framework can enable different users with different privileges to search on different database fields. Differ from previous attempts to secure outsourcing of data, we emphasize the control of the searches of the fields within the database. We demonstrate the utility of the scheme by evaluating the scheme using datasets from the University of California, Irvine.

Unintended adverse consequences of introducing electronic health records in residential aged care homes.

PubMed

Yu, Ping; Zhang, Yiting; Gong, Yang; Zhang, Jiajie

2013-09-01

The aim of this study was to investigate the unintended adverse consequences of introducing electronic health records (EHR) in residential aged care homes (RACHs) and to examine the causes of these unintended adverse consequences. A qualitative interview study was conducted in nine RACHs belonging to three organisations in the Australian Capital Territory (ACT), New South Wales (NSW) and Queensland, Australia. A longitudinal investigation after the implementation of the aged care EHR systems was conducted at two data points: January 2009 to December 2009 and December 2010 to February 2011. Semi-structured interviews were conducted with 110 care staff members identified through convenience sampling, representing all levels of care staff who worked in these facilities. Data analysis was guided by DeLone and McLean Information Systems Success Model, in reference with the previous studies of unintended consequences for the introduction of computerised provider order entry systems in hospitals. Eight categories of unintended adverse consequences emerged from 266 data items mentioned by the interviewees. In descending order of the number and percentage of staff mentioning them, they are: inability/difficulty in data entry and information retrieval, end user resistance to using the system, increased complexity of information management, end user concerns about access, increased documentation burden, the reduction of communication, lack of space to place enough computers in the work place and increasing difficulties in delivering care services. The unintended consequences were caused by the initial conditions, the nature of the EHR system and the way the system was implemented and used by nursing staff members. Although the benefits of the EHR systems were obvious, as found by our previous study, introducing EHR systems in RACH can also cause adverse consequences of EHR avoidance, difficulty in access, increased complexity in information management, increased documentation burden, reduction of communication and the risks of lacking care follow-up, which may cause negative effects on aged care services. Further research can focus on investigating how the unintended adverse consequences can be mitigated or eliminated by understanding more about nursing staff's work as well as the information flow in RACH. This will help to improve the design, introduction and management of EHR systems in this setting. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

You and me and the computer makes three: variations in exam room use of the electronic health record

PubMed Central

Saleem, Jason J; Flanagan, Mindy E; Russ, Alissa L; McMullen, Carmit K; Elli, Leora; Russell, Scott A; Bennett, Katelyn J; Matthias, Marianne S; Rehman, Shakaib U; Schwartz, Mark D; Frankel, Richard M

2014-01-01

Challenges persist on how to effectively integrate the electronic health record (EHR) into patient visits and clinical workflow, while maintaining patient-centered care. Our goal was to identify variations in, barriers to, and facilitators of the use of the US Department of Veterans Affairs (VA) EHR in ambulatory care workflow in order better to understand how to integrate the EHR into clinical work. We observed and interviewed 20 ambulatory care providers across three geographically distinct VA medical centers. Analysis revealed several variations in, associated barriers to, and facilitators of EHR use corresponding to different units of analysis: computer interface, team coordination/workflow, and organizational. We discuss our findings in the context of different units of analysis and connect variations in EHR use to various barriers and facilitators. Findings from this study may help inform the design of the next generation of EHRs for the VA and other healthcare systems. PMID:24001517

Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.

PubMed

Adler-Milstein, Julia; Holmgren, A Jay; Kralovec, Peter; Worzala, Chantal; Searcy, Talisha; Patel, Vaishali

2017-11-01

While most hospitals have adopted electronic health records (EHRs), we know little about whether hospitals use EHRs in advanced ways that are critical to improving outcomes, and whether hospitals with fewer resources - small, rural, safety-net - are keeping up. Using 2008-2015 American Hospital Association Information Technology Supplement survey data, we measured "basic" and "comprehensive" EHR adoption among hospitals to provide the latest national numbers. We then used new supplement questions to assess advanced use of EHRs and EHR data for performance measurement and patient engagement functions. To assess a digital "advanced use" divide, we ran logistic regression models to identify hospital characteristics associated with high adoption in each advanced use domain. We found that 80.5% of hospitals adopted at least a basic EHR system, a 5.3 percentage point increase from 2014. Only 37.5% of hospitals adopted at least 8 (of 10) EHR data for performance measurement functions, and 41.7% of hospitals adopted at least 8 (of 10) patient engagement functions. Critical access hospitals were less likely to have adopted at least 8 performance measurement functions (odds ratio [OR] = 0.58; P < .001) and at least 8 patient engagement functions (OR = 0.68; P = 0.02). While the Health Information Technology for Economic and Clinical Health Act resulted in widespread hospital EHR adoption, use of advanced EHR functions lags and a digital divide appears to be emerging, with critical-access hospitals in particular lagging behind. This is concerning, because EHR-enabled performance measurement and patient engagement are key contributors to improving hospital performance. Hospital EHR adoption is widespread and many hospitals are using EHRs to support performance measurement and patient engagement. However, this is not happening across all hospitals. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Perceived critical success factors of electronic health record system implementation in a dental clinic context: An organisational management perspective.

PubMed

Sidek, Yusof Haji; Martins, Jorge Tiago

2017-11-01

Electronic health records (EHR) make health care more efficient. They improve the quality of care by making patients' medical history more accessible. However, little is known about the factors contributing to the successful EHR implementation in dental clinics. This article aims to identify the perceived critical success factors of EHR system implementation in a dental clinic context. We used Grounded Theory to analyse data collected in the context of Brunei's national EHR - the Healthcare Information and Management System (Bru-HIMS). Data analysis followed the stages of open, axial and selective coding. Six perceived critical success factors emerged: usability of the system, emergent behaviours, requirements analysis, training, change management, and project organisation. The study identified a mismatch between end-users and product owner/vendor perspectives. Workflow changes were significant challenges to clinicians' confident use, particularly as the system offered limited modularity and configurability. Recommendations are made for all the parties involved in healthcare information systems implementation to manage the change process by agreeing system goals and functionalities through wider consensual debate, and participated supporting strategies realised through common commitment. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Security challenges in integration of a PHR-S into a standards based national EHR.

PubMed

Mense, Alexander; Hoheiser Pförtner, Franz; Sauermann, Stefan

2014-01-01

Health related data provided by patients themselves is expected to play a major role in future healthcare. Data from personal health devices, vaccination records, health diaries or observations of daily living, for instance, is stored in personal health records (PHR) which are maintained by personal health record systems (PHR-S). Combining this information with medical records provided by healthcare providers in electronic health records (EHR) is one of the next steps towards "personal care". Austria currently sets up a nationwide EHR system that incorporates all healthcare providers and is technically based on international standards (IHE, HL7, OASIS, ...). Looking at the expected potential of merging PHR and EHR data it is worth to analyse integration approaches. Although knowing that an integration requires the coordination of processes, information models and technical architectures, this paper specifically focuses on security issues by evaluating general security requirements for a PHR-S (based on HL7 PHR-S FM), comparing them with the information security specifications for the Austrian's national EHR (based on ISO/IES 27000 series) and identifying the main challenges as well as possible approaches.

Informatics and operations--let's get integrated.

PubMed

Marsolo, Keith

2013-01-01

The widespread adoption of commercial electronic health records (EHRs) presents a significant challenge to the field of informatics. In their current form, EHRs function as a walled garden and prevent the integration of outside tools and services. This impedes the widespread adoption and diffusion of research interventions into the clinic. In most institutions, EHRs are supported by clinical operations staff who are largely separate from their informatics counterparts. This relationship needs to change. Research informatics and clinical operations need to work more closely on the implementation and configuration of EHRs to ensure that they are used to collect high-quality data for research and improvement at the point of care. At the same time, the informatics community needs to lobby commercial EHR vendors to open their systems and design new architectures that allow for the integration of external applications and services.

Access Control Model for Sharing Composite Electronic Health Records

NASA Astrophysics Data System (ADS)

Jin, Jing; Ahn, Gail-Joon; Covington, Michael J.; Zhang, Xinwen

The adoption of electronically formatted medical records, so called Electronic Health Records (EHRs), has become extremely important in healthcare systems to enable the exchange of medical information among stakeholders. An EHR generally consists of data with different types and sensitivity degrees which must be selectively shared based on the need-to-know principle. Security mechanisms are required to guarantee that only authorized users have access to specific portions of such critical record for legitimate purposes. In this paper, we propose a novel approach for modelling access control scheme for composite EHRs. Our model formulates the semantics and structural composition of an EHR document, from which we introduce a notion of authorized zones of the composite EHR at different granularity levels, taking into consideration of several important criteria such as data types, intended purposes and information sensitivities.

Time-motion analysis of clinical nursing documentation during implementation of an electronic operating room management system for ophthalmic surgery.

PubMed

Read-Brown, Sarah; Sanders, David S; Brown, Anna S; Yackel, Thomas R; Choi, Dongseok; Tu, Daniel C; Chiang, Michael F

2013-01-01

Efficiency and quality of documentation are critical in surgical settings because operating rooms are a major source of revenue, and because adverse events may have enormous consequences. Electronic health records (EHRs) have potential to impact surgical volume, quality, and documentation time. Ophthalmology is an ideal domain to examine these issues because procedures are high-throughput and demand efficient documentation. This time-motion study examines nursing documentation during implementation of an EHR operating room management system in an ophthalmology department. Key findings are: (1) EHR nursing documentation time was significantly worse during early implementation, but improved to a level near but slightly worse than paper baseline, (2) Mean documentation time varied significantly among nurses during early implementation, and (3) There was no decrease in operating room turnover time or surgical volume after implementation. These findings have important implications for ambulatory surgery departments planning EHR implementation, and for research in system design.

Time-Motion Analysis of Clinical Nursing Documentation During Implementation of an Electronic Operating Room Management System for Ophthalmic Surgery

PubMed Central

Read-Brown, Sarah; Sanders, David S.; Brown, Anna S.; Yackel, Thomas R.; Choi, Dongseok; Tu, Daniel C.; Chiang, Michael F.

2013-01-01

Efficiency and quality of documentation are critical in surgical settings because operating rooms are a major source of revenue, and because adverse events may have enormous consequences. Electronic health records (EHRs) have potential to impact surgical volume, quality, and documentation time. Ophthalmology is an ideal domain to examine these issues because procedures are high-throughput and demand efficient documentation. This time-motion study examines nursing documentation during implementation of an EHR operating room management system in an ophthalmology department. Key findings are: (1) EHR nursing documentation time was significantly worse during early implementation, but improved to a level near but slightly worse than paper baseline, (2) Mean documentation time varied significantly among nurses during early implementation, and (3) There was no decrease in operating room turnover time or surgical volume after implementation. These findings have important implications for ambulatory surgery departments planning EHR implementation, and for research in system design. PMID:24551402

Importance-satisfaction analysis for primary care physicians' perspective on EHRs in Taiwan.

PubMed

Ho, Cheng-Hsun; Wene, Hsyien-Chia; Chu, Chi-Ming; Wu, Yi-Syuan; Wang, Jen-Leng

2014-06-06

The Taiwan government has been promoting Electronic Health Records (EHRs) to primary care physicians. How to extend EHRs adoption rate by measuring physicians' perspective of importance and performance of EHRs has become one of the critical issues for healthcare organizations. We conducted a comprehensive survey in 2010 in which a total of 1034 questionnaires which were distributed to primary care physicians. The project was sponsored by the Department of Health to accelerate the adoption of EHRs. 556 valid responses were analyzed resulting in a valid response rate of 53.77%. The data were analyzed based on a data-centered analytical framework (5-point Likert scale). The mean of importance and satisfaction of four dimensions were 4.16, 3.44 (installation and maintenance), 4.12, 3.51 (product effectiveness), 4.10, 3.31 (system function) and 4.34, 3.70 (customer service) respectively. This study provided a direction to government by focusing on attributes which physicians found important but were dissatisfied with, to close the gap between actual and expected performance of the EHRs. The authorities should emphasize the potential advantages in meaningful use and provide training programs, conferences, technical assistance and incentives to enhance the national level implementation of EHRs for primary physicians.

Exploiting Temporal Constraints of Clinical Guidelines by Applying OpenEHR Archetypes.

PubMed

Cintho, Lilian Mie Mukai; Garcia, Diego; da Silva Santos, Bruno Henrique; Sacchi, Lucia; Quaglini, Silvana; Moro, Claudia Maria Cabral

2017-01-01

Studies describing Computer-Interpretable Clinical Guidelines (CIG) with temporal constrains (TC) generally have not addressed issues related to their integration into Electronic Health Record (EHR) systems. This study aimed to represent TCs contained in clinical guidelines by applying archetypes and Guideline Definition Language (GDL) to incorporate decision support into EHRs. An example of each TC class in the clinical guideline for management of Atrial Fibrillation was represented using archetypes and GDL.

Acceptance and Usage of Electronic Health Record Systems in Small Medical Practices

ERIC Educational Resources Information Center

Tannan, Ritu

2012-01-01

One of the objectives of the U.S. government has been the development of a nationwide health information infrastructure, including adoption and use of an electronic health records (EHR) system. However, a 2008 survey conducted by the National Center for Health Statistics indicated a 41.5% usage of the EHR system by physicians in office-based…

Taking a quality assurance program from paper to electronic health records: one dental school's experience.

PubMed

Filker, Phyllis J; Muckey, Erin Joy; Kelner, Steven M; Kodish-Stav, Jodi

2009-09-01

The Obama administration is seeking to increase access to and improve the efficiency of the health care system in the United States. One aspect of those efforts is a push towards the utilization of electronic health records (EHRs) by health care providers. Nova Southeastern University College of Dental Medicine (NSU-CDM) opened its doors in 1997 and began its evolution from paper charts to EHRs in 2006. AxiUm, a computer-run patient record and clinical management system, has become an integral part of the college's quality assurance program and its students' clinical education. Since the introduction of axiUm, the school has already noticed an increase in the quality of patient care due to improved oversight of patient management and the ability to more efficiently track treatment outcomes. Over time, the system will enable data collected by students providing care in the clinics to be quantified. Opposition to EHRs tends to stem primarily from the amount of time required for users to gain proficiency in the new technology, as well as from the initial cost to the provider. But there is no better place to begin this learning process regarding the importance and utilization of EHR systems than universities, where health professions students can acquire a comfort level with EHRs in an academic environment that they may then implement in their future practice.

Quality and Certification of Electronic Health Records

PubMed Central

Hoerbst, A.; Ammenwerth, E.

2010-01-01

Background Numerous projects, initiatives, and programs are dedicated to the development of Electronic Health Records (EHR) worldwide. Increasingly more of these plans have recently been brought from a scientific environment to real life applications. In this context, quality is a crucial factor with regard to the acceptance and utility of Electronic Health Records. However, the dissemination of the existing quality approaches is often rather limited. Objectives The present paper aims at the description and comparison of the current major quality certification approaches to EHRs. Methods A literature analysis was carried out in order to identify the relevant publications with regard to EHR quality certification. PubMed, ACM Digital Library, IEEExplore, CiteSeer, and Google (Scholar) were used to collect relevant sources. The documents that were obtained were analyzed using techniques of qualitative content analysis. Results The analysis discusses and compares the quality approaches of CCHIT, EuroRec, IHE, openEHR, and EN13606. These approaches differ with regard to their focus, support of service-oriented EHRs, process of (re-)certification and testing, number of systems certified and tested, supporting organizations, and regional relevance. Discussion The analyzed approaches show differences with regard to their structure and processes. System vendors can exploit these approaches in order to improve and certify their information systems. Health care organizations can use these approaches to support selection processes or to assess the quality of their own information systems. PMID:23616834

Clinical Summarization Capabilities of Commercially-available and Internally-developed Electronic Health Records

PubMed Central

Laxmisan, A.; McCoy, A.B.; Wright, A.; Sittig, D.F.

2012-01-01

Objective Clinical summarization, the process by which relevant patient information is electronically summarized and presented at the point of care, is of increasing importance given the increasing volume of clinical data in electronic health record systems (EHRs). There is a paucity of research on electronic clinical summarization, including the capabilities of currently available EHR systems. Methods We compared different aspects of general clinical summary screens used in twelve different EHR systems using a previously described conceptual model: AORTIS (Aggregation, Organization, Reduction, Interpretation and Synthesis). Results We found a wide variation in the EHRs’ summarization capabilities: all systems were capable of simple aggregation and organization of limited clinical content, but only one demonstrated an ability to synthesize information from the data. Conclusion Improvement of the clinical summary screen functionality for currently available EHRs is necessary. Further research should identify strategies and methods for creating easy to use, well-designed clinical summary screens that aggregate, organize and reduce all pertinent patient information as well as provide clinical interpretations and synthesis as required. PMID:22468161

An Innovative Approach to Improve Communication and Reduce Physician Stress and Burnout in a University Affiliated Residency Program.

PubMed

Lapointe, Ryan; Bhesania, Siddharth; Tanner, Tristan; Peruri, Adithya; Mehta, Parag

2018-05-28

Ineffective communication between nursing staff and residents leads to numerous educational and patient-care interruptions, increasing resident stress and overall workload. We developed an innovative and simple, secure electronic health record (EHR) base text paging system to communicate with internal medicine residents. The goal is to avoid unnecessary interruption during patient care or educational activities and reduce stress. Traditional paging system can send a phone number to call back. We developed and implemented a HIPPA-compliant, EHR-integrated text paging at a busy 591-bed urban hospital. Access was granted to unit clerks, nursing staff, case managers, and physicians. Senders could either send a traditional telephone number page or a text page through our EHR. The recipient could then either acknowledge receipt of the page or take appropriate actions. Afterward, Internal medicine residents were polled on overall satisfaction difference between basic phone based numeric paging and the enhanced EHR text paging system. Educational interruptions (averaging over 7 pages) decreased from 64% to 16%. Patient care interruptions fell from 68% to 12%. 88% of residents felt that 50% or less of the pages were non-emergent and did not require an immediate action. 92% of 25 surveyed internal medicine residents preferred text paging over numeric paging and responded through the EHR 60% of the time by placing direct orders. Time savings using the new system over a 3-month span amounted to 72.5 h in transmission time alone. Text paging among medical caregivers and internal medicine residents through EHR-associated communication reduced patient care and educational interruptions. It saved time spent sending pages, answering unnecessary pages and it improved resident's subjective stress and satisfaction levels.

Impact of the HITECH Act on physicians' adoption of electronic health records.

PubMed

Mennemeyer, Stephen T; Menachemi, Nir; Rahurkar, Saurabh; Ford, Eric W

2016-03-01

The Health Information Technology for Economic and Clinical Health (HITECH) Act has distributed billions of dollars to physicians as incentives for adopting certified electronic health records (EHRs) through the meaningful use (MU) program ultimately aimed at improving healthcare outcomes. The authors examine the extent to which the MU program impacted the EHR adoption curve that existed prior to the Act. Bass and Gamma Shifted Gompertz (G/SG) diffusion models of the adoption of "Any" and "Basic" EHR systems in physicians' offices using consistent data series covering 2001-2013 and 2006-2013, respectively, are estimated to determine if adoption was stimulated during either a PrePay (2009-2010) period of subsidy anticipation or a PostPay (2011-2013) period when payments were actually made. Adoption of Any EHR system may have increased by as much as 7 percentage points above the level predicted in the absence of the MU subsidies. This estimate, however, lacks statistical significance and becomes smaller or negative under alternative model specifications. No substantial effects are found for Basic systems. The models suggest that adoption was largely driven by "imitation" effects (q-coefficient) as physicians mimic their peers' technology use or respond to mandates. Small and often insignificant "innovation" effects (p-coefficient) are found suggesting little enthusiasm by physicians who are leaders in technology adoption. The authors find weak evidence of the impact of the MU program on EHR uptake. This is consistent with reports that many current EHR systems reduce physician productivity, lack data sharing capabilities, and need to incorporate other key interoperability features (e.g., application program interfaces). © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

A Digital Architecture for a Network-Based Learning Health System: Integrating Chronic Care Management, Quality Improvement, and Research.

PubMed

Marsolo, Keith; Margolis, Peter A; Forrest, Christopher B; Colletti, Richard B; Hutton, John J

2015-01-01

We collaborated with the ImproveCareNow Network to create a proof-of-concept architecture for a network-based Learning Health System. This collaboration involved transitioning an existing registry to one that is linked to the electronic health record (EHR), enabling a "data in once" strategy. We sought to automate a series of reports that support care improvement while also demonstrating the use of observational registry data for comparative effectiveness research. We worked with three leading EHR vendors to create EHR-based data collection forms. We automated many of ImproveCareNow's analytic reports and developed an application for storing protected health information and tracking patient consent. Finally, we deployed a cohort identification tool to support feasibility studies and hypothesis generation. There is ongoing uptake of the system. To date, 31 centers have adopted the EHR-based forms and 21 centers are uploading data to the registry. Usage of the automated reports remains high and investigators have used the cohort identification tools to respond to several clinical trial requests. The current process for creating EHR-based data collection forms requires groups to work individually with each vendor. A vendor-agnostic model would allow for more rapid uptake. We believe that interfacing network-based registries with the EHR would allow them to serve as a source of decision support. Additional standards are needed in order for this vision to be achieved, however. We have successfully implemented a proof-of-concept Learning Health System while providing a foundation on which others can build. We have also highlighted opportunities where sponsors could help accelerate progress.

Personalized-detailed clinical model for data interoperability among clinical standards.

PubMed

Khan, Wajahat Ali; Hussain, Maqbool; Afzal, Muhammad; Amin, Muhammad Bilal; Saleem, Muhammad Aamir; Lee, Sungyoung

2013-08-01

Data interoperability among health information exchange (HIE) systems is a major concern for healthcare practitioners to enable provisioning of telemedicine-related services. Heterogeneity exists in these systems not only at the data level but also among different heterogeneous healthcare standards with which these are compliant. The relationship between healthcare organization data and different heterogeneous standards is necessary to achieve the goal of data level interoperability. We propose a personalized-detailed clinical model (P-DCM) approach for the generation of customized mappings that creates the necessary linkage between organization-conformed healthcare standards concepts and clinical model concepts to ensure data interoperability among HIE systems. We consider electronic health record (EHR) standards, openEHR, and HL7 CDA instances transformation using P-DCM. P-DCM concepts associated with openEHR and HL7 CDA help in transformation of instances among these standards. We investigated two datasets: (1) data of 100 diabetic patients, including 50 each of type 1 and type 2, from a local hospital in Korea and (2) data of a single Alzheimer's disease patient. P-DCMs were created for both scenarios, which provided the basis for deriving instances for HL7 CDA and openEHR standards. For proof of concept, we present case studies of encounter information for type 2 diabetes mellitus patients and monitoring of daily routine activities of an Alzheimer's disease patient. These reflect P-DCM-based customized mappings generation with openEHR and HL7 CDA standards. Customized mappings are generated based on the relationship of P-DCM concepts with CDA and openEHR concepts. The objective of this work is to achieve semantic data interoperability among heterogeneous standards. This would lead to effective utilization of resources and allow timely information exchange among healthcare systems.

Personalized-Detailed Clinical Model for Data Interoperability Among Clinical Standards

PubMed Central

Khan, Wajahat Ali; Hussain, Maqbool; Afzal, Muhammad; Amin, Muhammad Bilal; Saleem, Muhammad Aamir

2013-01-01

Abstract Objective: Data interoperability among health information exchange (HIE) systems is a major concern for healthcare practitioners to enable provisioning of telemedicine-related services. Heterogeneity exists in these systems not only at the data level but also among different heterogeneous healthcare standards with which these are compliant. The relationship between healthcare organization data and different heterogeneous standards is necessary to achieve the goal of data level interoperability. We propose a personalized-detailed clinical model (P-DCM) approach for the generation of customized mappings that creates the necessary linkage between organization-conformed healthcare standards concepts and clinical model concepts to ensure data interoperability among HIE systems. Materials and Methods: We consider electronic health record (EHR) standards, openEHR, and HL7 CDA instances transformation using P-DCM. P-DCM concepts associated with openEHR and HL7 CDA help in transformation of instances among these standards. We investigated two datasets: (1) data of 100 diabetic patients, including 50 each of type 1 and type 2, from a local hospital in Korea and (2) data of a single Alzheimer's disease patient. P-DCMs were created for both scenarios, which provided the basis for deriving instances for HL7 CDA and openEHR standards. Results: For proof of concept, we present case studies of encounter information for type 2 diabetes mellitus patients and monitoring of daily routine activities of an Alzheimer's disease patient. These reflect P-DCM-based customized mappings generation with openEHR and HL7 CDA standards. Customized mappings are generated based on the relationship of P-DCM concepts with CDA and openEHR concepts. Conclusions: The objective of this work is to achieve semantic data interoperability among heterogeneous standards. This would lead to effective utilization of resources and allow timely information exchange among healthcare systems. PMID:23875730

The double-edged sword of electronic health records: implications for patient disclosure.

PubMed

Campos-Castillo, Celeste; Anthony, Denise L

2015-04-01

Electronic health record (EHR) systems are linked to improvements in quality of care, yet also privacy and security risks. Results from research studies are mixed about whether patients withhold personal information from their providers to protect against the perceived EHR privacy and security risks. This study seeks to reconcile the mixed findings by focusing on whether accounting for patients' global ratings of care reveals a relationship between EHR provider-use and patient non-disclosure. A nationally representative sample from the 2012 Health Information National Trends Survey was analyzed using bivariate and multivariable logit regressions to examine whether global ratings of care suppress the relationship between EHR provider-use and patient non-disclosure. 13% of respondents reported having ever withheld information from a provider because of privacy/security concerns. Bivariate analysis showed that withholding information was unrelated to whether respondents' providers used an EHR. Multivariable analysis showed that accounting for respondents' global ratings of care revealed a positive relationship between having a provider who uses an EHR and withholding information. After accounting for global ratings of care, findings suggest that patients may non-disclose to providers to protect against the perceived EHR privacy and security risks. Despite evidence that EHRs inhibit patient disclosure, their advantages for promoting quality of care may outweigh the drawbacks. Clinicians should leverage the EHR's value in quality of care and discuss patients' privacy concerns during clinic visits, while policy makers should consider how to address the real and perceived privacy and security risks of EHRs. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Comparison of EHR-based diagnosis documentation locations to a gold standard for risk stratification in patients with multiple chronic conditions.

PubMed

Martin, Shelby; Wagner, Jesse; Lupulescu-Mann, Nicoleta; Ramsey, Katrina; Cohen, Aaron; Graven, Peter; Weiskopf, Nicole G; Dorr, David A

2017-08-02

To measure variation among four different Electronic Health Record (EHR) system documentation locations versus 'gold standard' manual chart review for risk stratification in patients with multiple chronic illnesses. Adults seen in primary care with EHR evidence of at least one of 13 conditions were included. EHRs were manually reviewed to determine presence of active diagnoses, and risk scores were calculated using three different methodologies and five EHR documentation locations. Claims data were used to assess cost and utilization for the following year. Descriptive and diagnostic statistics were calculated for each EHR location. Criterion validity testing compared the gold standard verified diagnoses versus other EHR locations and risk scores in predicting future cost and utilization. Nine hundred patients had 2,179 probable diagnoses. About 70% of the diagnoses from the EHR were verified by gold standard. For a subset of patients having baseline and prediction year data (n=750), modeling showed that the gold standard was the best predictor of outcomes on average for a subset of patients that had these data. However, combining all data sources together had nearly equivalent performance for prediction as the gold standard. EHR data locations were inaccurate 30% of the time, leading to improvement in overall modeling from a gold standard from chart review for individual diagnoses. However, the impact on identification of the highest risk patients was minor, and combining data from different EHR locations was equivalent to gold standard performance. The reviewer's ability to identify a diagnosis as correct was influenced by a variety of factors, including completeness, temporality, and perceived accuracy of chart data.

Systems Medicine 2.0: Potential Benefits of Combining Electronic Health Care Records With Systems Science Models

PubMed Central

Gibson, Alexander R; Scott, Gregory; Harrison, Oliver; Dominiczak, Anna; Hanlon, Phil

2015-01-01

Background The global burden of disease is increasingly dominated by non-communicable diseases.These diseases are less amenable to curative and preventative interventions than communicable disease. This presents a challenge to medical practice and medical research, both of which are experiencing diminishing returns from increasing investment. Objective Our aim was to (1) review how medical knowledge is generated, and its limitations, (2) assess the potential for emerging technologies and ideas to improve medical research, and (3) suggest solutions and recommendations to increase medical research efficiency on non-communicable diseases. Methods We undertook an unsystematic review of peer-reviewed literature and technology websites. Results Our review generated the following conclusions and recommendations. (1) Medical knowledge continues to be generated in a reductionist paradigm. This oversimplifies our models of disease, rendering them ineffective to sufficiently understand the complex nature of non-communicable diseases. (2) Some of these failings may be overcome by adopting a “Systems Medicine” paradigm, where the human body is modeled as a complex adaptive system. That is, a system with multiple components and levels interacting in complex ways, wherein disease emerges from slow changes to the system set-up. Pursuing systems medicine research will require larger datasets. (3) Increased data sharing between researchers, patients, and clinicians could provide this unmet need for data. The recent emergence of electronic health care records (EHR) could potentially facilitate this in real-time and at a global level. (4) Efforts should continue to aggregate anonymous EHR data into large interoperable data silos and release this to researchers. However, international collaboration, data linkage, and obtaining additional information from patients will remain challenging. (5) Efforts should also continue towards “Medicine 2.0”. Patients should be given access to their personal EHR data. Subsequently, online communities can give researchers the opportunity to ask patients for direct access to the patient’s EHR data and request additional study-specific information. However, selection bias towards patients who use Web 2.0 technology may be difficult to overcome. Conclusions Systems medicine, when combined with large-scale data sharing, has the potential to raise our understanding of non-communicable diseases, foster personalized medicine, and make substantial progress towards halting, curing, and preventing non-communicable diseases. Large-scale data amalgamation remains a core challenge and needs to be supported. A synthesis of “Medicine 2.0” and “Systems Science” concepts into “Systems Medicine 2.0” could take decades to materialize but holds much promise. PMID:25831125

Systems Medicine 2.0: potential benefits of combining electronic health care records with systems science models.

PubMed

Tillmann, Taavi; Gibson, Alexander R; Scott, Gregory; Harrison, Oliver; Dominiczak, Anna; Hanlon, Phil

2015-03-23

The global burden of disease is increasingly dominated by non-communicable diseases.These diseases are less amenable to curative and preventative interventions than communicable disease. This presents a challenge to medical practice and medical research, both of which are experiencing diminishing returns from increasing investment. Our aim was to (1) review how medical knowledge is generated, and its limitations, (2) assess the potential for emerging technologies and ideas to improve medical research, and (3) suggest solutions and recommendations to increase medical research efficiency on non-communicable diseases. We undertook an unsystematic review of peer-reviewed literature and technology websites. Our review generated the following conclusions and recommendations. (1) Medical knowledge continues to be generated in a reductionist paradigm. This oversimplifies our models of disease, rendering them ineffective to sufficiently understand the complex nature of non-communicable diseases. (2) Some of these failings may be overcome by adopting a "Systems Medicine" paradigm, where the human body is modeled as a complex adaptive system. That is, a system with multiple components and levels interacting in complex ways, wherein disease emerges from slow changes to the system set-up. Pursuing systems medicine research will require larger datasets. (3) Increased data sharing between researchers, patients, and clinicians could provide this unmet need for data. The recent emergence of electronic health care records (EHR) could potentially facilitate this in real-time and at a global level. (4) Efforts should continue to aggregate anonymous EHR data into large interoperable data silos and release this to researchers. However, international collaboration, data linkage, and obtaining additional information from patients will remain challenging. (5) Efforts should also continue towards "Medicine 2.0". Patients should be given access to their personal EHR data. Subsequently, online communities can give researchers the opportunity to ask patients for direct access to the patient's EHR data and request additional study-specific information. However, selection bias towards patients who use Web 2.0 technology may be difficult to overcome. Systems medicine, when combined with large-scale data sharing, has the potential to raise our understanding of non-communicable diseases, foster personalized medicine, and make substantial progress towards halting, curing, and preventing non-communicable diseases. Large-scale data amalgamation remains a core challenge and needs to be supported. A synthesis of "Medicine 2.0" and "Systems Science" concepts into "Systems Medicine 2.0" could take decades to materialize but holds much promise.

Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics.

PubMed

Pahl, Christina; Zare, Mojtaba; Nilashi, Mehrbakhsh; de Faria Borges, Marco Aurélio; Weingaertner, Daniel; Detschew, Vesselin; Supriyanto, Eko; Ibrahim, Othman

2015-06-01

This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastructure. OpenEHR is a dual model approach developed for the modelling of Hospital Information Systems enabling semantic interoperability. A holistic solution to this represents the use of dual model based Electronic Healthcare Record systems. Modelling data in the field of obstetrics is a challenge, since different regions demand locally specific information for the process of treatment. Smaller health units in developing countries like Brazil or Malaysia, which until recently handled automatable processes like the storage of sensitive patient data in paper form, start organizational reconstruction processes. This archetype proof-of-concept investigation has tried out some elements of the openEHR methodology in cooperation with a health unit in Colombo, Brazil. Two legal forms provided by the Brazilian Ministry of Health have been analyzed and classified into demographic and clinical data. LinkEHR-Ed editor was used to read, edit and create archetypes. Results show that 33 clinical and demographic concepts, which are necessary to cover data demanded by the Unified National Health System, were identified. Out of the concepts 61% were reused and 39% modified to cover domain requirements. The detailed process of reuse, modification and creation of archetypes is shown. We conclude that, although a major part of demographic and clinical patient data were already represented by existing archetypes, a significant part required major modifications. In this study openEHR proved to be a highly suitable tool in the modelling of complex health data. In combination with LinkEHR-Ed software it offers user-friendly and highly applicable tools, although the complexity built by the vast specifications requires expert networks to define generally excepted clinical models. Finally, this project has pointed out main benefits enclosing high coverage of obstetrics data on the Clinical Knowledge Manager, simple modelling, and wide network and support using openEHR. Moreover, barriers described are enclosing the allocation of clinical content to respective archetypes, as well as stagnant adaption of changes on the Clinical Knowledge Manager leading to redundant efforts in data contribution that need to be addressed in future works. Copyright © 2015 Elsevier Inc. All rights reserved.

The use of open source electronic health records within the federal safety net

PubMed Central

Goldwater, Jason C; Kwon, Nancy J; Nathanson, Ashley; Muckle, Alison E; Brown, Alexa; Cornejo, Kerri

2014-01-01

Objective To conduct a federally funded study that examines the acquisition, implementation and operation of open source electronic health records (EHR) within safety net medical settings, such as federally qualified health centers (FQHC). Methods and materials The study was conducted by the National Opinion Research Center (NORC) at the University of Chicago from April to September 2010. The NORC team undertook a comprehensive environmental scan, including a literature review, a dozen key informant interviews using a semistructured protocol, and a series of site visits to West Virginia, California and Arizona FQHC that were currently using an open source EHR. Results Five of the six sites that were chosen as part of the study found a number of advantages in the use of their open source EHR system, such as utilizing a large community of users and developers to modify their EHR to fit the needs of their provider and patient communities, and lower acquisition and implementation costs as compared to a commercial system. Discussion Despite these advantages, many of the informants and site visit participants felt that widespread dissemination and use of open source was restrained due to a negative connotation regarding this type of software. In addition, a number of participants stated that there is a necessary level of technical acumen needed within the FQHC to make an open source EHR effective. Conclusions An open source EHR provides advantages for FQHC that have limited resources to acquire and implement an EHR, but additional study is needed to evaluate its overall effectiveness. PMID:23744787

Fear of e-Health records implementation?

PubMed

Laur, Audrey

2015-03-01

As our world is dominated by Information Communication and Technologies (ICT), governments of many leading countries have decided to implement ICT in their health systems. The first step is the digitalisation of medical records (e-Health Records or EHRs). In order to reduce concerns that health systems encountered, EHRs are supposed to prevent duplicated prescriptions and hospitalisations, ineffective transferability of medical records, lack of communication in clinical assessments, etc. They are also expected to improve the relationship between health providers and patients. At first sight, EHR seems to offer considerable potential for assisting health policies, enabling the development of new tools to facilitate coordination and cooperation among health professionals and promoting a new approach to sharing medical information. However, as discussed in this article, recent debates have shown that EHR presents pros and cons (technical, financial, social) that governments need to clarify urgently. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

An approach for the semantic interoperability of ISO EN 13606 and OpenEHR archetypes.

PubMed

Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2010-10-01

The communication between health information systems of hospitals and primary care organizations is currently an important challenge to improve the quality of clinical practice and patient safety. However, clinical information is usually distributed among several independent systems that may be syntactically or semantically incompatible. This fact prevents healthcare professionals from accessing clinical information of patients in an understandable and normalized way. In this work, we address the semantic interoperability of two EHR standards: OpenEHR and ISO EN 13606. Both standards follow the dual model approach which distinguishes information and knowledge, this being represented through archetypes. The solution presented here is capable of transforming OpenEHR archetypes into ISO EN 13606 and vice versa by combining Semantic Web and Model-driven Engineering technologies. The resulting software implementation has been tested using publicly available collections of archetypes for both standards.

Readiness for Meaningful Use of Health Information Technology and Patient Centered Medical Home Recognition Survey Results

PubMed Central

Shin, Peter; Sharac, Jessica

2013-01-01

Objective Determine the factors that impact HIT use and MU readiness for community health centers (CHCs). Background The HITECH Act allocates funds to Medicaid and Medicare providers to encourage the adoption of electronic health records (EHR), in an effort to improve health care quality and patient outcomes, and to reduce health care costs. Methods We surveyed CHCs on their Readiness for Meaningful Use (MU) of Health Information Technology (HIT) and Patient Centered Medical Home (PCMH) Recognition, then we combined responses with 2009 Uniform Data System data to determine which factors impact use of HIT and MU readiness. Results Nearly 70% of CHCs had full or partial EHR adoption at the time of survey. Results are presented for centers with EHR adoption, by the length of time that their EHR systems have been in operation. PMID:24834365

Querying Archetype-Based Electronic Health Records Using Hadoop and Dewey Encoding of openEHR Models.

PubMed

Sundvall, Erik; Wei-Kleiner, Fang; Freire, Sergio M; Lambrix, Patrick

2017-01-01

Archetype-based Electronic Health Record (EHR) systems using generic reference models from e.g. openEHR, ISO 13606 or CIMI should be easy to update and reconfigure with new types (or versions) of data models or entries, ideally with very limited programming or manual database tweaking. Exploratory research (e.g. epidemiology) leading to ad-hoc querying on a population-wide scale can be a challenge in such environments. This publication describes implementation and test of an archetype-aware Dewey encoding optimization that can be used to produce such systems in environments supporting relational operations, e.g. RDBMs and distributed map-reduce frameworks like Hadoop. Initial testing was done using a nine-node 2.2 GHz quad-core Hadoop cluster querying a dataset consisting of targeted extracts from 4+ million real patient EHRs, query results with sub-minute response time were obtained.

Reasons (Not) to Spend a Few Billions More on EHRs: How Human Factors Research Can Help

PubMed Central

Aimé, X.

2014-01-01

Summary Objectives To select best medical informatics research works published in 2013 on electronic health record (EHR) adoption, design, and impact, from the perspective of human factors and organizational issues (HFOI). Methods We selected 2,764 papers by querying PubMed (Mesh and TIAB) as well as using a manual search. Papers were evaluated based on pre-defined exclusion and inclusion criteria from their title, keywords, and abstract to select 15 candidate best papers, finally reviewed by 4 external reviewers using a standard evaluation grid. Results Five papers were selected as best papers to illustrate how human factors approaches can improve EHR adoption and design. Among other contributions, these works: (i) make use of the observational and analysis methodologies of social and cognitive sciences to understand clinicians’ attitudes towards EHRs, EHR use patterns, and impact on care processes, workflows, information exchange, and coordination of care; (ii) take into account macro- (environmental) and meso- (organizational) level factors to analyze EHR adoption or lack thereof; (iii) highlight the need for qualitative studies to analyze the unexpected side effects of EHRs on cognitive and work processes as well as the persistent use of paper. Conclusion Selected papers tend to demonstrate that HFOI approaches and methodologies are essential to bridge the gap between EHR systems and end users, and to reduce regularly reported adoption failures and unexpected consequences. PMID:25123727

Reasons (not) to Spend a Few Billions More on EHRs: How Human Factors Research Can Help.

PubMed

Declerck, G; Aimé, X

2014-08-15

To select best medical informatics research works published in 2013 on electronic health record (EHR) adoption, design, and impact, from the perspective of human factors and organizational issues (HFOI). We selected 2,764 papers by querying PubMed (Mesh and TIAB) as well as using a manual search. Papers were evaluated based on pre-defined exclusion and inclusion criteria from their title, keywords, and abstract to select 15 candidate best papers, finally reviewed by 4 external reviewers using a standard evaluation grid. Five papers were selected as best papers to illustrate how human factors approaches can improve EHR adoption and design. Among other contributions, these works: (i) make use of the observational and analysis methodologies of social and cognitive sciences to understand clinicians' attitudes towards EHRs, EHR use patterns, and impact on care processes, workflows, information exchange, and coordination of care; (ii) take into account macro- (environmental) and meso- (organizational) level factors to analyze EHR adoption or lack thereof; (iii) highlight the need for qualitative studies to analyze the unexpected side effects of EHRs on cognitive and work processes as well as the persistent use of paper. Selected papers tend to demonstrate that HFOI approaches and methodologies are essential to bridge the gap between EHR systems and end users, and to reduce regularly reported adoption failures and unexpected consequences.

Possibilities and Implications of Using the ICF and Other Vocabulary Standards in Electronic Health Records.

PubMed

Vreeman, Daniel J; Richoz, Christophe

2015-12-01

There is now widespread recognition of the powerful potential of electronic health record (EHR) systems to improve the health-care delivery system. The benefits of EHRs grow even larger when the health data within their purview are seamlessly shared, aggregated and processed across different providers, settings and institutions. Yet, the plethora of idiosyncratic conventions for identifying the same clinical content in different information systems is a fundamental barrier to fully leveraging the potential of EHRs. Only by adopting vocabulary standards that provide the lingua franca across these local dialects can computers efficiently move, aggregate and use health data for decision support, outcomes management, quality reporting, research and many other purposes. In this regard, the International Classification of Functioning, Disability, and Health (ICF) is an important standard for physiotherapists because it provides a framework and standard language for describing health and health-related states. However, physiotherapists and other health-care professionals capture a wide range of data such as patient histories, clinical findings, tests and measurements, procedures, and so on, for which other vocabulary standards such as Logical Observation Identifiers Names and Codes and Systematized Nomenclature Of Medicine Clinical Terms are crucial for interoperable communication between different electronic systems. In this paper, we describe how the ICF and other internationally accepted vocabulary standards could advance physiotherapy practise and research by enabling data sharing and reuse by EHRs. We highlight how these different vocabulary standards fit together within a comprehensive record system, and how EHRs can make use of them, with a particular focus on enhancing decision-making. By incorporating the ICF and other internationally accepted vocabulary standards into our clinical information systems, physiotherapists will be able to leverage the potent capabilities of EHRs and contribute our unique clinical perspective to other health-care providers within the emerging electronic health information infrastructure. Copyright © 2013 John Wiley & Sons, Ltd.

Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures.

PubMed

Tang, Paul C; Ralston, Mary; Arrigotti, Michelle Fernandez; Qureshi, Lubna; Graham, Justin

2007-01-01

New reimbursement policies and pay-for-performance programs to reward providers for producing better outcomes are proliferating. Although electronic health record (EHR) systems could provide essential clinical data upon which to base quality measures, most metrics in use were derived from administrative claims data. We compared commonly used quality measures calculated from administrative data to those derived from clinical data in an EHR based on a random sample of 125 charts of Medicare patients with diabetes. Using standard definitions based on administrative data (which require two visits with an encounter diagnosis of diabetes during the measurement period), only 75% of diabetics determined by manually reviewing the EHR (the gold standard) were identified. In contrast, 97% of diabetics were identified using coded information in the EHR. The discrepancies in identified patients resulted in statistically significant differences in the quality measures for frequency of HbA1c testing, control of blood pressure, frequency of testing for urine protein, and frequency of eye exams for diabetic patients. New development of standardized quality measures should shift from claims-based measures to clinically based measures that can be derived from coded information in an EHR. Using data from EHRs will also leverage their clinical content without adding burden to the care process.

Open source electronic health records and chronic disease management.

PubMed

Goldwater, Jason C; Kwon, Nancy J; Nathanson, Ashley; Muckle, Alison E; Brown, Alexa; Cornejo, Kerri

2014-02-01

To study and report on the use of open source electronic health records (EHR) to assist with chronic care management within safety net medical settings, such as community health centers (CHC). The study was conducted by NORC at the University of Chicago from April to September 2010. The NORC team undertook a comprehensive environmental scan, including a literature review, a dozen key informant interviews using a semistructured protocol, and a series of site visits to CHC that currently use an open source EHR. Two of the sites chosen by NORC were actively using an open source EHR to assist in the redesign of their care delivery system to support more effective chronic disease management. This included incorporating the chronic care model into an CHC and using the EHR to help facilitate its elements, such as care teams for patients, in addition to maintaining health records on indigent populations, such as tuberculosis status on homeless patients. The ability to modify the open-source EHR to adapt to the CHC environment and leverage the ecosystem of providers and users to assist in this process provided significant advantages in chronic care management. Improvements in diabetes management, controlled hypertension and increases in tuberculosis vaccinations were assisted through the use of these open source systems. The flexibility and adaptability of open source EHR demonstrated its utility and viability in the provision of necessary and needed chronic disease care among populations served by CHC.

A novel approach to leveraging electronic health record data to enhance pediatric surgical quality improvement bundle process compliance.

PubMed

Fisher, Jason C; Godfried, David H; Lighter-Fisher, Jennifer; Pratko, Joseph; Sheldon, Mary Ellen; Diago, Thelma; Kuenzler, Keith A; Tomita, Sandra S; Ginsburg, Howard B

2016-06-01

Quality improvement (QI) bundles have been widely adopted to reduce surgical site infections (SSI). Improvement science suggests when organizations achieve high-reliability to QI processes, outcomes dramatically improve. However, measuring QI process compliance is poorly supported by electronic health record (EHR) systems. We developed a custom EHR tool to facilitate capture of process data for SSI prevention with the aim of increasing bundle compliance and reducing adverse events. Ten SSI prevention bundle processes were linked to EHR data elements that were then aggregated into a snapshot display superimposed on weekly case-log reports. The data aggregation and user interface facilitated efficient review of all SSI bundle elements, providing an exact bundle compliance rate without random sampling or chart review. Nine months after implementation of our custom EHR tool, we observed centerline shifts in median SSI bundle compliance (46% to 72%). Additionally, as predicted by high reliability principles, we began to see a trend toward improvement in SSI rates (1.68 to 0.87 per 100 operations), but a discrete centerline shift was not detected. Simple informatics solutions can facilitate extraction of QI process data from the EHR without relying on adjunctive systems. Analyses of these data may drive reductions in adverse events. Pediatric surgical departments should consider leveraging the EHR to enhance bundle compliance as they implement QI strategies. Copyright © 2016 Elsevier Inc. All rights reserved.

A Picture is Worth 1,000 Words. The Use of Clinical Images in Electronic Medical Records.

PubMed

Ai, Angela C; Maloney, Francine L; Hickman, Thu-Trang; Wilcox, Allison R; Ramelson, Harley; Wright, Adam

2017-07-12

To understand how clinicians utilize image uploading tools in a home grown electronic health records (EHR) system. A content analysis of patient notes containing non-radiological images from the EHR was conducted. Images from 4,000 random notes from July 1, 2009 - June 30, 2010 were reviewed and manually coded. Codes were assigned to four properties of the image: (1) image type, (2) role of image uploader (e.g. MD, NP, PA, RN), (3) practice type (e.g. internal medicine, dermatology, ophthalmology), and (4) image subject. 3,815 images from image-containing notes stored in the EHR were reviewed and manually coded. Of those images, 32.8% were clinical and 66.2% were non-clinical. The most common types of the clinical images were photographs (38.0%), diagrams (19.1%), and scanned documents (14.4%). MDs uploaded 67.9% of clinical images, followed by RNs with 10.2%, and genetic counselors with 6.8%. Dermatology (34.9%), ophthalmology (16.1%), and general surgery (10.8%) uploaded the most clinical images. The content of clinical images referencing body parts varied, with 49.8% of those images focusing on the head and neck region, 15.3% focusing on the thorax, and 13.8% focusing on the lower extremities. The diversity of image types, content, and uploaders within a home grown EHR system reflected the versatility and importance of the image uploading tool. Understanding how users utilize image uploading tools in a clinical setting highlights important considerations for designing better EHR tools and the importance of interoperability between EHR systems and other health technology.

Electronic health records and cardiac implantable electronic devices: new paradigms and efficiencies.

PubMed

Slotwiner, David J

2016-10-01

The anticipated advantages of electronic health records (EHRs)-improved efficiency and the ability to share information across the healthcare enterprise-have so far failed to materialize. There is growing recognition that interoperability holds the key to unlocking the greatest value of EHRs. Health information technology (HIT) systems including EHRs must be able to share data and be able to interpret the shared data. This requires a controlled vocabulary with explicit definitions (data elements) as well as protocols to communicate the context in which each data element is being used (syntactic structure). Cardiac implantable electronic devices (CIEDs) provide a clear example of the challenges faced by clinicians when data is not interoperable. The proprietary data formats created by each CIED manufacturer, as well as the multiple sources of data generated by CIEDs (hospital, office, remote monitoring, acute care setting), make it challenging to aggregate even a single patient's data into an EHR. The Heart Rhythm Society and CIED manufacturers have collaborated to develop and implement international standard-based specifications for interoperability that provide an end-to-end solution, enabling structured data to be communicated from CIED to a report generation system, EHR, research database, referring physician, registry, patient portal, and beyond. EHR and other health information technology vendors have been slow to implement these tools, in large part, because there have been no financial incentives for them to do so. It is incumbent upon us, as clinicians, to insist that the tools of interoperability be a prerequisite for the purchase of any and all health information technology systems.

Assessing the impact of electronic health records as an enabler of hospital quality and patient satisfaction.

PubMed

Jarvis, Benjamin; Johnson, Tricia; Butler, Peter; O'Shaughnessy, Kathryn; Fullam, Francis; Tran, Lac; Gupta, Richa

2013-10-01

To assess the impact of using an advanced electronic health record (EHR) on hospital quality and patient satisfaction. This retrospective, cross-sectional analysis was conducted in 2012 to evaluate the association between advanced EHR use (Healthcare Information Management Systems Society [HIMSS] Stage 6 or 7 as of December 2012) and estimated process and experience of care scores for hospitals under the Medicare Hospital Value-Based Purchasing Program, using data from the American Hospital Association for 2008 to 2010. Generalized linear regression models were fit to test the association between advanced EHR use with process of care and experience of care, controlling for hospital characteristics. In a second analysis, the models included variables to account for HIMSS stage of advanced EHR use. The study included 2,988 hospitals, with 248 (8.3%) classified as advanced EHR users (HIMSS Stage 6 or 7). After controlling for hospital characteristics, advanced EHR use was associated with a 4.2-point-higher process of care score (P < .001). Hospitals with Stage 7 EHRs had 11.7 points higher process of care scores, but Stage 6 users had scores that were not substantially different from those of nonadvanced users. There was no significant difference in estimated experience of care scores by level of advanced EHR use. This study evaluated the effectiveness of the U.S. federal government's investment in hospital information technology infrastructure. Results suggest that the most advanced EHRs have the greatest payoff in improving clinical process of care scores, without detrimentally impacting the patient experience.

Ubiquitous-Severance Hospital Project: Implementation and Results

PubMed Central

Chang, Bung-Chul; Kim, Young-A; Kim, Jee Hea; Jung, Hae Kyung; Kang, Eun Hae; Kang, Hee Suk; Lee, Hyung Il; Kim, Yong Ook; Yoo, Sun Kook; Sunwoo, Ilnam; An, Seo Yong; Jeong, Hye Jeong

2010-01-01

Objectives The purpose of this study was to review an implementation of u-Severance information system with focus on electronic hospital records (EHR) and to suggest future improvements. Methods Clinical Data Repository (CDR) of u-Severance involved implementing electronic medical records (EMR) as the basis of EHR and the management of individual health records. EHR were implemented with service enhancements extending to the clinical decision support system (CDSS) and expanding the knowledge base for research with a repository for clinical data and medical care information. Results The EMR system of Yonsei University Health Systems (YUHS) consists of HP integrity superdome servers using MS SQL as a database management system and MS Windows as its operating system. Conclusions YUHS is a high-performing medical institution with regards to efficient management and customer satisfaction; however, after 5 years of implementation of u-Severance system, several limitations with regards to expandability and security have been identified. PMID:21818425

Ubiquitous-severance hospital project: implementation and results.

PubMed

Chang, Bung-Chul; Kim, Nam-Hyun; Kim, Young-A; Kim, Jee Hea; Jung, Hae Kyung; Kang, Eun Hae; Kang, Hee Suk; Lee, Hyung Il; Kim, Yong Ook; Yoo, Sun Kook; Sunwoo, Ilnam; An, Seo Yong; Jeong, Hye Jeong

2010-03-01

The purpose of this study was to review an implementation of u-Severance information system with focus on electronic hospital records (EHR) and to suggest future improvements. Clinical Data Repository (CDR) of u-Severance involved implementing electronic medical records (EMR) as the basis of EHR and the management of individual health records. EHR were implemented with service enhancements extending to the clinical decision support system (CDSS) and expanding the knowledge base for research with a repository for clinical data and medical care information. The EMR system of Yonsei University Health Systems (YUHS) consists of HP integrity superdome servers using MS SQL as a database management system and MS Windows as its operating system. YUHS is a high-performing medical institution with regards to efficient management and customer satisfaction; however, after 5 years of implementation of u-Severance system, several limitations with regards to expandability and security have been identified.

Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data.

PubMed

Hong, Na; Wen, Andrew; Shen, Feichen; Sohn, Sunghwan; Liu, Sijia; Liu, Hongfang; Jiang, Guoqian

2018-01-01

Standards-based modeling of electronic health records (EHR) data holds great significance for data interoperability and large-scale usage. Integration of unstructured data into a standard data model, however, poses unique challenges partially due to heterogeneous type systems used in existing clinical NLP systems. We introduce a scalable and standards-based framework for integrating structured and unstructured EHR data leveraging the HL7 Fast Healthcare Interoperability Resources (FHIR) specification. We implemented a clinical NLP pipeline enhanced with an FHIR-based type system and performed a case study using medication data from Mayo Clinic's EHR. Two UIMA-based NLP tools known as MedXN and MedTime were integrated in the pipeline to extract FHIR MedicationStatement resources and related attributes from unstructured medication lists. We developed a rule-based approach for assigning the NLP output types to the FHIR elements represented in the type system, whereas we investigated the FHIR elements belonging to the source of the structured EMR data. We used the FHIR resource "MedicationStatement" as an example to illustrate our integration framework and methods. For evaluation, we manually annotated FHIR elements in 166 medication statements from 14 clinical notes generated by Mayo Clinic in the course of patient care, and used standard performance measures (precision, recall and f-measure). The F-scores achieved ranged from 0.73 to 0.99 for the various FHIR element representations. The results demonstrated that our framework based on the FHIR type system is feasible for normalizing and integrating both structured and unstructured EHR data.

Effect of EHR user interface changes on internal prescription discrepancies.

PubMed

Turchin, A; Sawarkar, A; Dementieva, Y A; Breydo, E; Ramelson, H

2014-01-01

To determine whether specific design interventions (changes in the user interface (UI)) of an electronic health record (EHR) medication module are associated with an increase or decrease in the incidence of contradictions between the structured and narrative components of electronic prescriptions (internal prescription discrepancies). We performed a retrospective analysis of 960,000 randomly selected electronic prescriptions generated in a single EHR between 01/2004 and 12/2011. Internal prescription discrepancies were identified using a validated natural language processing tool with recall of 76% and precision of 84%. A multivariable autoregressive integrated moving average (ARIMA) model was used to evaluate the effect of five UI changes in the EHR medication module on incidence of internal prescription discrepancies. Over the study period 175,725 (18.4%) prescriptions were found to have internal discrepancies. The highest rate of prescription discrepancies was observed in March 2006 (22.5%) and the lowest in March 2009 (15.0%). Addition of "as directed" option to the dropdown decreased prescription discrepancies by 195 / month (p = 0.0004). An non-interruptive alert that reminded providers to ensure that structured and narrative components did not contradict each other decreased prescription discrepancies by 145 / month (p = 0.03). Addition of a "Renew / Sign" button to the Medication module (a negative control) did not have an effect in prescription discrepancies. Several UI changes in the electronic medication module were effective in reducing the incidence of internal prescription discrepancies. Further research is needed to identify interventions that can completely eliminate this type of prescription error and their effects on patient outcomes.

Electronic health record in the internal medicine clinic of a Brazilian university hospital: Expectations and satisfaction of physicians and patients.

PubMed

Duarte, Jurandir Godoy; Azevedo, Raymundo Soares

2017-06-01

To evaluate the satisfaction and expectations of patients and physicians before and after the implementation of an electronic health record (EHR) in the outpatient clinic of a university hospital. We conducted 389 interviews with patients and 151 with physicians before and after the implementation of a commercial EHR at the internal medicine clinic of Hospital das Clínicas of the Faculty of Medicine of the University of São Paulo (HC-FMUSP), Brazil. The physicians were identified by their connection to the outpatient clinic and categorized by their years since graduation: residents and preceptors (with 10 years or less of graduation) or assistants (with more than 10 years of graduation). The answers to the questionnaire given by the physicians were classified as favorable or against the use of EHR, before and after the implementation of this system in this clinic, receiving 1 or 0 points, respectively. The sum of these points generated a multiple regression score to determine which factors contribute to the acceptance of EHR by physicians. We also did a third survey, after the EHR was routinely established in the outpatient clinic. The degree of patient satisfaction was the same before and after implementation, with more than 90% positive evaluations. They noted the use of the computer during the consultation and valued such use. Resident (younger) physicians had more positive expectations than assistants (older physicians) before EHR implementation. This optimism was reduced after implementation. In the third evaluation the use of EHR was higher among resident physicians. Resident physicians perceived and valued the EHR more and used it more. In 28 of the 57 questions on performance of clinical tasks, resident physicians found it easier to use EHR than assistant physicians with significant differences (p<0.05). When questioned specifically about EHR satisfaction, resident physicians responded "good" and "excellent" to a greater extent than assistant physicians (p=0.002). Our results reinforce the idea that the EHR introduction in a clinical setting should be preceded by careful planning to improve physician's adherence to the use of EHR. Patients do not seem to notice much difference to the quality of the consultation done using paper or EHR. It became clear after the third evaluation with the physicians that the younger (residents and some preceptors) perceived the advantages of the EHR more than the older physicians. Resident physicians use the EHR more and are more satisfied with it. Copyright © 2017 Elsevier B.V. All rights reserved.

Progress and challenges: implementation and use of health information technology among critical-access hospitals.

PubMed

Gabriel, Meghan Hufstader; Jones, Emily B; Samy, Leila; King, Jennifer

2014-07-01

Despite major national investments to support the adoption of health information technology (IT), concerns persist that barriers are inhibiting that adoption and the use of advanced health IT capabilities in rural areas in particular. Using a survey of Medicare-certified critical-access hospitals, we examined electronic health record (EHR) adoption, key EHR functionalities, telehealth, and teleradiology, as well as challenges to EHR adoption. In 2013, 89 percent of critical-access hospitals had implemented a full or partial EHR. Adoption of key EHR capabilities varied. Critical-access hospitals that had certain types of technical assistance and resources available to support health IT were more likely to have adopted health IT capabilities and less likely to report significant challenges to EHR implementation and use, compared to other hospitals in the survey. It is important to ensure that the necessary resources and support are available to critical-access hospitals, especially those that operate independently, to assist them in adopting health IT and becoming able to electronically link to the broader health care system. Project HOPE—The People-to-People Health Foundation, Inc.

Automated Methods to Extract Patient New Information from Clinical Notes in Electronic Health Record Systems

ERIC Educational Resources Information Center

Zhang, Rui

2013-01-01

The widespread adoption of Electronic Health Record (EHR) has resulted in rapid text proliferation within clinical care. Clinicians' use of copying and pasting functions in EHR systems further compounds this by creating a large amount of redundant clinical information in clinical documents. A mixture of redundant information (especially outdated…

Delivering a lifelong integrated electronic health record based on a service oriented architecture.

PubMed

Katehakis, Dimitrios G; Sfakianakis, Stelios G; Kavlentakis, Georgios; Anthoulakis, Dimitrios N; Tsiknakis, Manolis

2007-11-01

Efficient access to a citizen's Integrated Electronic Health Record (I-EHR) is considered to be the cornerstone for the support of continuity of care, the reduction of avoidable mistakes, and the provision of tools and methods to support evidence-based medicine. For the past several years, a number of applications and services (including a lifelong I-EHR) have been installed, and enterprise and regional infrastructure has been developed, in HYGEIAnet, the Regional Health Information Network (RHIN) of the island of Crete, Greece. Through this paper, the technological effort toward the delivery of a lifelong I-EHR by means of World Wide Web Consortium (W3C) technologies, on top of a service-oriented architecture that reuses already existing middleware components is presented and critical issues are discussed. Certain design and development decisions are exposed and explained, laying this way the ground for coordinated, dynamic navigation to personalized healthcare delivery.

What Information Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed Clinical Research Networks.

PubMed

Bruland, Philipp; Doods, Justin; Storck, Michael; Dugas, Martin

2017-01-01

Data dictionaries provide structural meta-information about data definitions in health information technology (HIT) systems. In this regard, reusing healthcare data for secondary purposes offers several advantages (e.g. reduce documentation times or increased data quality). Prerequisites for data reuse are its quality, availability and identical meaning of data. In diverse projects, research data warehouses serve as core components between heterogeneous clinical databases and various research applications. Given the complexity (high number of data elements) and dynamics (regular updates) of electronic health record (EHR) data structures, we propose a clinical metadata warehouse (CMDW) based on a metadata registry standard. Metadata of two large hospitals were automatically inserted into two CMDWs containing 16,230 forms and 310,519 data elements. Automatic updates of metadata are possible as well as semantic annotations. A CMDW allows metadata discovery, data quality assessment and similarity analyses. Common data models for distributed research networks can be established based on similarity analyses.

Annual survey on the level and extent of usage of electronic health records in government-related hospitals in Eastern Province, Saudi Arabia.

PubMed

Bah, Sulaiman; Alharthi, Hana; El Mahalli, Azza Ali; Jabali, Abdelkaream; Al-Qahtani, Mona; Al-kahtani, Nouf

2011-01-01

This study aims to determine the level and extent of usage of electronic health records (EHRs) in government-related hospitals in Eastern Province, Saudi Arabia. Another aim is to develop a Web site to serve as a forum of exchange on the development of EHRs in Saudi Arabia. All government hospitals (n = 19) in the province were included. The information technology (IT) managers in those hospitals made up the target population. An online questionnaire was developed, and the IT managers in all 19 government hospitals were invited to participate in the survey. The responses from the online survey were downloaded and analyzed using descriptive statistics. Of the 19 hospitals, only three (15.8 percent) use EHRs. These hospitals were established in 1984, 1995, and 2005. All three of these hospitals have implemented the same EHR software and were using it successfully, and all three were using the three core features of laboratory, radiology, and pharmacy electronic modules. Some modules were present in the EHR system but were underutilized. Some of the main challenges faced by the IT managers in implementing EHRs in their hospitals were related to the uncooperative attitudes of some physicians and nurses toward EHRs. In fulfillment of the second aim of the study, a Web site, http://ehr2011.weebly.com, was developed to serve as a forum for exchange of information on the development of EHRs in Saudi Arabia. The government of Saudi Arabia has prioritized the development of eHealth (health information technology) and allocated committed funding for it during 2008-2011. During this period, some sectors of government made highly commendable efforts in developing eHealth services. Along these lines, we had hoped to see higher uptake of EHRs than the 15.8 percent found in this study. The rate of implementing EHRs in government hospitals should be accelerated. The aim should be on achieving some basic EHR functionality in these hospitals, and once this has been achieved, additional functionality can be pursued in stages.

[Development of an ophthalmological clinical information system for inpatient eye clinics].

PubMed

Kortüm, K U; Müller, M; Babenko, A; Kampik, A; Kreutzer, T C

2015-12-01

In times of increased digitalization in healthcare, departments of ophthalmology are faced with the challenge of introducing electronic clinical health records (EHR); however, specialized software for ophthalmology is not available with most major EHR sytems. The aim of this project was to create specific ophthalmological user interfaces for large inpatient eye care providers within a hospitalwide EHR. Additionally the integration of ophthalmic imaging systems, scheduling and surgical documentation should be achieved. The existing EHR i.s.h.med (Siemens, Germany) was modified using advanced business application programming (ABAP) language to create specific ophthalmological user interfaces for reproduction and moreover optimization of the clinical workflow. A user interface for documentation of ambulatory patients with eight tabs was designed. From June 2013 to October 2014 a total of 61,551 patient contact details were documented. For surgical documentation a separate user interface was set up. Digital clinical orders for documentation of registration and scheduling of operations user interfaces were also set up. A direct integration of ophthalmic imaging modalities could be established. An ophthalmologist-orientated EHR for outpatient and surgical documentation for inpatient clinics was created and successfully implemented. By incorporation of imaging procedures the foundation of future smart/big data analyses was created.

Electronic health records, adoption, quality of care, legal and privacy issues and their implementation in emergency departments.

PubMed

Ben-Assuli, Ofir

2015-03-01

Recently, the healthcare sector has shown a growing interest in information technologies. Two popular health IT (HIT) products are the electronic health record (EHR) and health information exchange (HIE) networks. The introduction of these tools is believed to improve care, but has also raised some important questions and legal and privacy issues. The implementation of these systems has not gone smoothly, and still faces some considerable barriers. This article reviews EHR and HIE to address these obstacles, and analyzes the current state of development and adoption in various countries around the world. Moreover, legal and ethical concerns that may be encountered by EHR users and purchasers are reviewed. Finally, links and interrelations between EHR and HIE and several quality of care issues in today's healthcare domain are examined with a focus on EHR and HIE in the emergency department (ED), whose unique characteristics makes it an environment in which the implementation of such technology may be a major contributor to health, but also faces substantial challenges. The paper ends with a discussion of specific policy implications and recommendations based on an examination of the current limitations of these systems. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Adherence to recommended electronic health record safety practices across eight health care organizations.

PubMed

Sittig, Dean F; Salimi, Mandana; Aiyagari, Ranjit; Banas, Colin; Clay, Brian; Gibson, Kathryn A; Goel, Ashutosh; Hines, Robert; Longhurst, Christopher A; Mishra, Vimal; Sirajuddin, Anwar M; Satterly, Tyler; Singh, Hardeep

2018-04-26

The Safety Assurance Factors for EHR Resilience (SAFER) guides were released in 2014 to help health systems conduct proactive risk assessment of electronic health record (EHR)- safety related policies, processes, procedures, and configurations. The extent to which SAFER recommendations are followed is unknown. We conducted risk assessments of 8 organizations of varying size, complexity, EHR, and EHR adoption maturity. Each organization self-assessed adherence to all 140 unique SAFER recommendations contained within 9 guides (range 10-29 recommendations per guide). In each guide, recommendations were organized into 3 broad domains: "safe health IT" (total 45 recommendations); "using health IT safely" (total 80 recommendations); and "monitoring health IT" (total 15 recommendations). The 8 sites fully implemented 25 of 140 (18%) SAFER recommendations. Mean number of "fully implemented" recommendations per guide ranged from 94% (System Interfaces-18 recommendations) to 63% (Clinical Communication-12 recommendations). Adherence was higher for "safe health IT" domain (82.1%) vs "using health IT safely" (72.5%) and "monitoring health IT" (67.3%). Despite availability of recommendations on how to improve use of EHRs, most recommendations were not fully implemented. New national policy initiatives are needed to stimulate implementation of these best practices.

Archetype-based electronic health records: a literature review and evaluation of their applicability to health data interoperability and access.

PubMed

Wollersheim, Dennis; Sari, Anny; Rahayu, Wenny

Health Information Managers (HIMs) are responsible for overseeing health information. The change management necessary during the transition to electronic health records (EHR) is substantial, and ongoing. Archetype-based EHRs are a core health information system component which solve many of the problems that arise during this period of change. Archetypes are models of clinical content, and they have many beneficial properties. They are interoperable, both between settings and through time. They are more amenable to change than conventional paradigms, and their design is congruent with clinical practice. This paper is an overview of the current archetype literature relevant to Health Information Managers. The literature was sourced in the English language sections of ScienceDirect, IEEE Explore, Pubmed, Google Scholar, ACM Digital library and other databases on the usage of archetypes for electronic health record storage, looking at the current areas of archetype research, appropriate usage, and future research. We also used reference lists from the cited papers, papers referenced by the openEHR website, and the recommendations from experts in the area. Criteria for inclusion were (a) if studies covered archetype research and (b) were either studies of archetype use, archetype system design, or archetype effectiveness. The 47 papers included show a wide and increasing worldwide archetype usage, in a variety of medical domains. Most of the papers noted that archetypes are an appropriate solution for future-proof and interoperable medical data storage. We conclude that archetypes are a suitable solution for the complex problem of electronic health record storage and interoperability.

Modeling healthcare authorization and claim submissions using the openEHR dual-model approach

PubMed Central

2011-01-01

Background The TISS standard is a set of mandatory forms and electronic messages for healthcare authorization and claim submissions among healthcare plans and providers in Brazil. It is not based on formal models as the new generation of health informatics standards suggests. The objective of this paper is to model the TISS in terms of the openEHR archetype-based approach and integrate it into a patient-centered EHR architecture. Methods Three approaches were adopted to model TISS. In the first approach, a set of archetypes was designed using ENTRY subclasses. In the second one, a set of archetypes was designed using exclusively ADMIN_ENTRY and CLUSTERs as their root classes. In the third approach, the openEHR ADMIN_ENTRY is extended with classes designed for authorization and claim submissions, and an ISM_TRANSITION attribute is added to the COMPOSITION class. Another set of archetypes was designed based on this model. For all three approaches, templates were designed to represent the TISS forms. Results The archetypes based on the openEHR RM (Reference Model) can represent all TISS data structures. The extended model adds subclasses and an attribute to the COMPOSITION class to represent information on authorization and claim submissions. The archetypes based on all three approaches have similar structures, although rooted in different classes. The extended openEHR RM model is more semantically aligned with the concepts involved in a claim submission, but may disrupt interoperability with other systems and the current tools must be adapted to deal with it. Conclusions Modeling the TISS standard by means of the openEHR approach makes it aligned with ISO recommendations and provides a solid foundation on which the TISS can evolve. Although there are few administrative archetypes available, the openEHR RM is expressive enough to represent the TISS standard. This paper focuses on the TISS but its results may be extended to other billing processes. A complete communication architecture to simulate the exchange of TISS data between systems according to the openEHR approach still needs to be designed and implemented. PMID:21992670

Patient and public views about the security and privacy of Electronic Health Records (EHRs) in the UK: results from a mixed methods study.

PubMed

Papoutsi, Chrysanthi; Reed, Julie E; Marston, Cicely; Lewis, Ruth; Majeed, Azeem; Bell, Derek

2015-10-14

Although policy discourses frame integrated Electronic Health Records (EHRs) as essential for contemporary healthcare systems, increased information sharing often raises concerns among patients and the public. This paper examines patient and public views about the security and privacy of EHRs used for health provision, research and policy in the UK. Sequential mixed methods study with a cross-sectional survey (in 2011) followed by focus group discussions (in 2012-2013). Survey participants (N = 5331) were recruited from primary and secondary care settings in West London (UK). Complete data for 2761 (51.8 %) participants were included in the final analysis for this paper. The survey results were discussed in 13 focus groups with people living with a range of different health conditions, and in 4 mixed focus groups with patients, health professionals and researchers (total N = 120). Qualitative data were analysed thematically. In the survey, 79 % of participants reported that they would worry about the security of their record if this was part of a national EHR system and 71 % thought the National Health Service (NHS) was unable to guarantee EHR safety at the time this work was carried out. Almost half (47 %) responded that EHRs would be less secure compared with the way their health record was held at the time of the survey. Of those who reported being worried about EHR security, many would nevertheless support their development (55 %), while 12 % would not support national EHRs and a sizeable proportion (33 %) were undecided. There were also variations by age, ethnicity and education. In focus group discussions participants weighed up perceived benefits against potential security and privacy threats from wider sharing of information, as well as discussing other perceived risks: commercial exploitation, lack of accountability, data inaccuracies, prejudice and inequalities in health provision. Patient and public worries about the security risks associated with integrated EHRs highlight the need for intensive public awareness and engagement initiatives, together with the establishment of trustworthy security and privacy mechanisms for health information sharing.

The Journey through Grief: Insights from a Qualitative Study of Electronic Health Record Implementation

PubMed Central

McAlearney, Ann Scheck; Hefner, Jennifer L; Sieck, Cynthia J; Huerta, Timothy R

2015-01-01

Objective To improve understanding of facilitators of EHR system implementation, paying particular attention to opportunities to maximize physician adoption and effective deployment. Data Sources/Study Setting Primary data collected from 47 physician and 35 administrative key informants from six U.S. health care organizations identified because of purported success with EHR implementation. Study Design We conducted interviews and focus groups in an extensive qualitative study. Data Collection/Extraction Methods Verbatim transcripts were analyzed both deductively and inductively using the constant comparative method. Principal Findings Conceptualizing EHR adoption as loss through the lens of Kübler-Ross's five stages of grief model may help individuals and organizations more effectively orient to the challenge of change. Coupled with Kotter's eight-step change management framework, we offer a structure to facilitate organizations' movement through the EHR implementation journey. Combining insights from these frameworks, we identify 10 EHR strategies that can help address EHR implementation barriers. Conclusions Loss is one part of change often overlooked. Addressing it directly and compassionately can potentially facilitate the EHR implementation journey. We offer a summarized list of deployment strategies that are sensitive to these issues to support physician transition to new technologies that will bring value to clinical practice. PMID:25219627

Importance-Satisfaction Analysis for Primary Care Physicians’ Perspective on EHRs in Taiwan †

PubMed Central

Ho, Cheng-Hsun; Wen, Hsyien-Chia; Chu, Chi-Ming; Wu, Yi-Syuan; Wang, Jen-Leng

2014-01-01

The Taiwan government has been promoting Electronic Health Records (EHRs) to primary care physicians. How to extend EHRs adoption rate by measuring physicians’ perspective of importance and performance of EHRs has become one of the critical issues for healthcare organizations. We conducted a comprehensive survey in 2010 in which a total of 1034 questionnaires which were distributed to primary care physicians. The project was sponsored by the Department of Health to accelerate the adoption of EHRs. 556 valid responses were analyzed resulting in a valid response rate of 53.77%. The data were analyzed based on a data-centered analytical framework (5-point Likert scale). The mean of importance and satisfaction of four dimensions were 4.16, 3.44 (installation and maintenance), 4.12, 3.51 (product effectiveness), 4.10, 3.31 (system function) and 4.34, 3.70 (customer service) respectively. This study provided a direction to government by focusing on attributes which physicians found important but were dissatisfied with, to close the gap between actual and expected performance of the EHRs. The authorities should emphasize the potential advantages in meaningful use and provide training programs, conferences, technical assistance and incentives to enhance the national level implementation of EHRs for primary physicians. PMID:24914640

Disclosing Genetic Risk for Coronary Heart Disease: Attitudes Toward Personal Information in Health Records.

PubMed

Brown, Sherry-Ann; Jouni, Hayan; Marroush, Tariq S; Kullo, Iftikhar J

2017-04-01

Incorporating genetic risk information in electronic health records (EHRs) will facilitate implementation of genomic medicine in clinical practice. However, little is known about patients' attitudes toward incorporation of genetic risk information as a component of personal health information in EHRs. This study investigated whether disclosure of a genetic risk score (GRS) for coronary heart disease influences attitudes toward incorporation of personal health information including genetic risk in EHRs. Participants aged 45-65 years with intermediate 10-year coronary heart disease risk were randomized to receive a conventional risk score (CRS) alone or with a GRS from a genetic counselor, followed by shared decision making with a physician using the same standard presentation and information templates for all study participants. The CRS and GRS were then incorporated into the EHR and made accessible to both patients and physicians. Baseline and post-disclosure surveys were completed to assess whether attitudes differed by GRS disclosure. Data were collected from 2013 to 2015 and analyzed in 2015-2016. GRS and CRS participants reported similar positive attitudes toward incorporation of genetic risk information in the EHR. Compared with CRS participants, participants with high GRS were more concerned about the confidentiality of genetic risk information (OR=3.67, 95% CI=1.29, 12.32, p=0.01). Post-disclosure, frequency of patient portal access was associated with positive attitudes. Participants in this study of coronary heart disease risk disclosure overall had positive attitudes toward incorporation of genetic risk information in EHRs, although those who received genetic risk information had concerns about confidentiality. Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Evaluating Primary Care Providers' Views on Survivorship Care Plans Generated by an Electronic Health Record System

PubMed Central

Donohue, SarahMaria; Sesto, Mary E.; Hahn, David L.; Buhr, Kevin A.; Jacobs, Elizabeth A.; Sosman, James M.; Andreason, Molly J.; Wiegmann, Douglas A.; Tevaarwerk, Amye J.

2015-01-01

Purpose: Survivorship care plans for cancer survivors may facilitate provider-to-provider communication. Primary care provider (PCP) perspectives on care plan provision and use are limited, especially when care plans are generated by an electronic health record (EHR) system. We sought to examine PCPs' perspectives regarding EHR-generated care plans. Methods: PCPs (N = 160) who were members of the Wisconsin Research and Education Network listserv received a sample 10-page plan (WREN cohort). PCPs (n = 81) who had or were currently seeing survivors enrolled onto one of our survivorship clinical trials received a copy of the survivor's personalized care plan (University of Wisconsin [UW] cohort). Both cohorts received a survey after reviewing the plan. All plans were generated within an EHR. Results: Forty-six and 26 PCPs participated in the WREN and UW cohorts, respectively. PCPs regarded EHR-generated plans as useful in coordinating care (88%), understanding treatments (94%), understanding treatment adverse effects (89%), and supporting clinical decisions (82%). Few felt using EHR-generated plans would disrupt clinic workflow (14%) or take too much time (11%). Most (89%) preferred receiving the plan via EHR. PCPs reported consistent provision (81%) and standard location in the medical record (89%) as key factors facilitating their use of survivorship care plans. Important facilitators of care plan use included a more abbreviated plan, ideally one to three pages (32%), and/or a plan specifically tailored to PCP use (57%). Conclusion: Plans were viewed as useful for coordinating care and making clinical decisions. However, PCPs desired shorter, clinician-oriented plans, accessible within an EHR and delivered and located in a standardized manner. PMID:25804989

Changes to the electronic health records market in light of health information technology certification and meaningful use.

PubMed

Vest, Joshua R; Yoon, Jangho; Bossak, Brian H

2013-01-01

Health information technology (HIT) certification and meaningful use are interventions encouraging the adoption of electronic health records (EHRs) in the USA. However, these initiatives also constitute a significant intervention which will change the structure of the EHR market. To describe quantitatively recent changes to both the demand and supply sides of the EHR market. A cohort of 3447 of hospitals from the HIMSS Analytics Database (2006-10) was created. Using hospital referral regions to define the local market, we determined the percentage of hospitals using paper records, the number of vendors, and local EHR vendor competition using the Herfindahl-Hirschman Index. Changes over time were assessed using a series of regression equations and geographic information systems analyses. Overall, there was movement away from paper records, upward trends in the number of EHR vendors, and greater competition. However, changes differed according to hospital size and region of the country. Changes were greatest for small hospitals, whereas competition and the number of vendors did not change dramatically for large hospitals. The EHR market is changing most dramatically for those least equipped to handle broad technological transformation, which underscores the need for continued targeted support. Furthermore, wide variations across the nation indicate a continued role for states in the support of EHR utilization. The structure of the EHR market is undergoing substantial changes as desired by the proponents and architects of HIT certification and meaningful use. However, these transformations are not uniform for all hospitals or all the country.

Experts speak: advice from key informants to small, rural hospitals on implementing the electronic health record system.

PubMed

Craven, Catherine K; Sievert, MaryEllen C; Hicks, Lanis L; Alexander, Gregory L; Hearne, Leonard B; Holmes, John H

2013-01-01

The US government has allocated $30 billion dollars to implement Electronic Health Records (EHRs) in hospitals and provider practices through a policy called Meaningful Use. Small, rural hospitals, particularly those designated as Critical Access Hospitals (CAHs), comprising nearly a quarter of US hospitals, had not implemented EHRs before. Little is known on implementation in this setting. We interviewed a spectrum of 31 experts in the domain. The interviews were then analyzed qualitatively to ascertain the expert recommendations. Nineteen themes emerged. The pool of experts included staff from CAHs that had recently implemented EHRs. We were able to compare their answers with those of other experts and make recommendations for stakeholders. CAH peer experts focused less on issues such as physician buy-in, communication, and the EHR team. None of them indicated concern or focus on clinical decision support systems, leadership, or governance. They were especially concerned with system selection, technology, preparatory work and a need to know more about workflow and optimization. These differences were explained by the size and nature of these small hospitals.

Quality requirements for EHR archetypes.

PubMed

Kalra, Dipak; Tapuria, Archana; Austin, Tony; De Moor, Georges

2012-01-01

The realisation of semantic interoperability, in which any EHR data may be communicated between heterogeneous systems and fully understood by computers as well as people on receipt, is a challenging goal. Despite the use of standardised generic models for the EHR and standard terminology systems, too much optionality and variability exists in how particular clinical entries may be represented. Clinical archetypes provide a means of defining how generic models should be shaped and bound to terminology for specific kinds of clinical data. However, these will only contribute to semantic interoperability if libraries of archetypes can be built up consistently. This requires the establishment of design principles, editorial and governance policies, and further research to develop ways for archetype authors to structure clinical data and to use terminology consistently. Drawing on several years of work within communities of practice developing archetypes and implementing systems from them, this paper presents quality requirements for the development of archetypes. Clinical engagement on a wide scale is also needed to help grow libraries of good quality archetypes that can be certified. Vendor and eHealth programme engagement is needed to validate such archetypes and achieve safe, meaningful exchange of EHR data between systems.

Comparison of Three Internship Training Sites for an Undergraduate Health Information Management Program in Saudi Arabia.

PubMed

Bah, Sulaiman; Alanzi, Turki

2017-07-01

While internship training is well established for medical records and for healthcare quality improvement, it is not quite so for training related to IT/health informatics. A comparison was made on the hospital-based IT/health informatics internship training received by students completing their training at the Imam AbdulRahman Bin Faisal University (IAU) in the Eastern province of Saudi Arabia. The three hospitals studied all have the Joint Commission International accreditation and advanced Electronic Health Record (EHR) systems. Over the period from 2011 to 2015, interns from the IAU prepared 120 reports based on their training at these three hospitals. Data abstraction was done on the internship reports, and the results were summarized and interpreted. The study found wide differences in the training received at these hospitals. The main reason for the differences is whether or not the EHR system used in the hospital was a commercial one or developed in-house. The hospital that had developed its own EHR system made more use of health information management interns during their IT rotation in comparison to hospitals which had adopted commercial EHR systems. Recommendations are made of both local relevance and of international relevance.

Adoption factors associated with electronic health record among long-term care facilities: a systematic review

PubMed Central

Kruse, Clemens Scott; Mileski, Michael; Alaytsev, Vyachelslav; Carol, Elizabeth; Williams, Ariana

2015-01-01

Objectives The Health Information Technology for Economic and Clinical Health (HITECH) Act created incentives for adopting electronic health records (EHRs) for some healthcare organisations, but long-term care (LTC) facilities are excluded from those incentives. There are realisable benefits of EHR adoption in LTC facilities; however, there is limited research about this topic. The purpose of this systematic literature review is to identify EHR adoption factors for LTC facilities that are ineligible for the HITECH Act incentives. Setting We conducted systematic searches of Cumulative Index of Nursing and Allied Health Literature (CINAHL) Complete via Ebson B. Stephens Company (EBSCO Host), Google Scholar and the university library search engine to collect data about EHR adoption factors in LTC facilities since 2009. Participants Search results were filtered by date range, full text, English language and academic journals (n=22). Interventions Multiple members of the research team read each article to confirm applicability and study conclusions. Primary and secondary outcome measures Researchers identified common themes across the literature: specifically facilitators and barriers to adoption of the EHR in LTC. Results Results identify facilitators and barriers associated with EHR adoption in LTC facilities. The most common facilitators include access to information and error reduction. The most prevalent barriers include initial costs, user perceptions and implementation problems. Conclusions Similarities span the system selection phases and implementation process; of those, cost was the most common mentioned. These commonalities should help leaders in LTC facilities align strategic decisions to EHR adoption. This review may be useful for decision-makers attempting successful EHR adoption, policymakers trying to increase adoption rates without expanding incentives and vendors that produce EHRs. PMID:25631311

Implementation of workflow engine technology to deliver basic clinical decision support functionality

PubMed Central

2011-01-01

Background Workflow engine technology represents a new class of software with the ability to graphically model step-based knowledge. We present application of this novel technology to the domain of clinical decision support. Successful implementation of decision support within an electronic health record (EHR) remains an unsolved research challenge. Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption. We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic. Results We present our implementation of a workflow engine technology that addresses the two above-described challenges in delivering clinical decision support. Our system is based on a cross-industry standard of XML (extensible markup language) process definition language (XPDL). The core components of the system are a workflow editor for modeling clinical scenarios and a workflow engine for execution of those scenarios. We demonstrate, with an open-source and publicly available workflow suite, that clinical decision support logic can be executed on retrospective data. The same flowchart-based representation can also function in a prospective mode where the system can be integrated with an EHR system and respond to real-time clinical events. We limit the scope of our implementation to decision support content generation (which can be EHR system vendor independent). We do not focus on supporting complex decision support content delivery mechanisms due to lack of standardization of EHR systems in this area. We present results of our evaluation of the flowchart-based graphical notation as well as architectural evaluation of our implementation using an established evaluation framework for clinical decision support architecture. Conclusions We describe an implementation of a free workflow technology software suite (available at http://code.google.com/p/healthflow) and its application in the domain of clinical decision support. Our implementation seamlessly supports clinical logic testing on retrospective data and offers a user-friendly knowledge representation paradigm. With the presented software implementation, we demonstrate that workflow engine technology can provide a decision support platform which evaluates well against an established clinical decision support architecture evaluation framework. Due to cross-industry usage of workflow engine technology, we can expect significant future functionality enhancements that will further improve the technology's capacity to serve as a clinical decision support platform. PMID:21477364

Open source electronic health records and chronic disease management

PubMed Central

Goldwater, Jason C; Kwon, Nancy J; Nathanson, Ashley; Muckle, Alison E; Brown, Alexa; Cornejo, Kerri

2014-01-01

Objective To study and report on the use of open source electronic health records (EHR) to assist with chronic care management within safety net medical settings, such as community health centers (CHC). Methods and Materials The study was conducted by NORC at the University of Chicago from April to September 2010. The NORC team undertook a comprehensive environmental scan, including a literature review, a dozen key informant interviews using a semistructured protocol, and a series of site visits to CHC that currently use an open source EHR. Results Two of the sites chosen by NORC were actively using an open source EHR to assist in the redesign of their care delivery system to support more effective chronic disease management. This included incorporating the chronic care model into an CHC and using the EHR to help facilitate its elements, such as care teams for patients, in addition to maintaining health records on indigent populations, such as tuberculosis status on homeless patients. Discussion The ability to modify the open-source EHR to adapt to the CHC environment and leverage the ecosystem of providers and users to assist in this process provided significant advantages in chronic care management. Improvements in diabetes management, controlled hypertension and increases in tuberculosis vaccinations were assisted through the use of these open source systems. Conclusions The flexibility and adaptability of open source EHR demonstrated its utility and viability in the provision of necessary and needed chronic disease care among populations served by CHC. PMID:23813566

New Unintended Adverse Consequences of Electronic Health Records

PubMed Central

Wright, A.; Ash, J.; Singh, H.

2016-01-01

Summary Although the health information technology industry has made considerable progress in the design, development, implementation, and use of electronic health records (EHRs), the lofty expectations of the early pioneers have not been met. In 2006, the Provider Order Entry Team at Oregon Health & Science University described a set of unintended adverse consequences (UACs), or unpredictable, emergent problems associated with computer-based provider order entry implementation, use, and maintenance. Many of these originally identified UACs have not been completely addressed or alleviated, some have evolved over time, and some new ones have emerged as EHRs became more widely available. The rapid increase in the adoption of EHRs, coupled with the changes in the types and attitudes of clinical users, has led to several new UACs, specifically: complete clinical information unavailable at the point of care; lack of innovations to improve system usability leading to frustrating user experiences; inadvertent disclosure of large amounts of patient-specific information; increased focus on computer-based quality measurement negatively affecting clinical workflows and patient-provider interactions; information overload from marginally useful computer-generated data; and a decline in the development and use of internally-developed EHRs. While each of these new UACs poses significant challenges to EHR developers and users alike, they also offer many opportunities. The challenge for clinical informatics researchers is to continue to refine our current systems while exploring new methods of overcoming these challenges and developing innovations to improve EHR interoperability, usability, security, functionality, clinical quality measurement, and information summarization and display. PMID:27830226

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

PubMed Central

Sánchez-de-Madariaga, Ricardo; Muñoz, Adolfo; Castro, Antonio L; Moreno, Oscar; Pascual, Mario

2018-01-01

This research shows a protocol to assess the computational complexity of querying relational and non-relational (NoSQL (not only Structured Query Language)) standardized electronic health record (EHR) medical information database systems (DBMS). It uses a set of three doubling-sized databases, i.e. databases storing 5000, 10,000 and 20,000 realistic standardized EHR extracts, in three different database management systems (DBMS): relational MySQL object-relational mapping (ORM), document-based NoSQL MongoDB, and native extensible markup language (XML) NoSQL eXist. The average response times to six complexity-increasing queries were computed, and the results showed a linear behavior in the NoSQL cases. In the NoSQL field, MongoDB presents a much flatter linear slope than eXist. NoSQL systems may also be more appropriate to maintain standardized medical information systems due to the special nature of the updating policies of medical information, which should not affect the consistency and efficiency of the data stored in NoSQL databases. One limitation of this protocol is the lack of direct results of improved relational systems such as archetype relational mapping (ARM) with the same data. However, the interpolation of doubling-size database results to those presented in the literature and other published results suggests that NoSQL systems might be more appropriate in many specific scenarios and problems to be solved. For example, NoSQL may be appropriate for document-based tasks such as EHR extracts used in clinical practice, or edition and visualization, or situations where the aim is not only to query medical information, but also to restore the EHR in exactly its original form. PMID:29608174

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases.

PubMed

Sánchez-de-Madariaga, Ricardo; Muñoz, Adolfo; Castro, Antonio L; Moreno, Oscar; Pascual, Mario

2018-03-19

This research shows a protocol to assess the computational complexity of querying relational and non-relational (NoSQL (not only Structured Query Language)) standardized electronic health record (EHR) medical information database systems (DBMS). It uses a set of three doubling-sized databases, i.e. databases storing 5000, 10,000 and 20,000 realistic standardized EHR extracts, in three different database management systems (DBMS): relational MySQL object-relational mapping (ORM), document-based NoSQL MongoDB, and native extensible markup language (XML) NoSQL eXist. The average response times to six complexity-increasing queries were computed, and the results showed a linear behavior in the NoSQL cases. In the NoSQL field, MongoDB presents a much flatter linear slope than eXist. NoSQL systems may also be more appropriate to maintain standardized medical information systems due to the special nature of the updating policies of medical information, which should not affect the consistency and efficiency of the data stored in NoSQL databases. One limitation of this protocol is the lack of direct results of improved relational systems such as archetype relational mapping (ARM) with the same data. However, the interpolation of doubling-size database results to those presented in the literature and other published results suggests that NoSQL systems might be more appropriate in many specific scenarios and problems to be solved. For example, NoSQL may be appropriate for document-based tasks such as EHR extracts used in clinical practice, or edition and visualization, or situations where the aim is not only to query medical information, but also to restore the EHR in exactly its original form.

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records.

PubMed

Peissig, Peggy L; Rasmussen, Luke V; Berg, Richard L; Linneman, James G; McCarty, Catherine A; Waudby, Carol; Chen, Lin; Denny, Joshua C; Wilke, Russell A; Pathak, Jyotishman; Carrell, David; Kho, Abel N; Starren, Justin B

2012-01-01

There is increasing interest in using electronic health records (EHRs) to identify subjects for genomic association studies, due in part to the availability of large amounts of clinical data and the expected cost efficiencies of subject identification. We describe the construction and validation of an EHR-based algorithm to identify subjects with age-related cataracts. We used a multi-modal strategy consisting of structured database querying, natural language processing on free-text documents, and optical character recognition on scanned clinical images to identify cataract subjects and related cataract attributes. Extensive validation on 3657 subjects compared the multi-modal results to manual chart review. The algorithm was also implemented at participating electronic MEdical Records and GEnomics (eMERGE) institutions. An EHR-based cataract phenotyping algorithm was successfully developed and validated, resulting in positive predictive values (PPVs) >95%. The multi-modal approach increased the identification of cataract subject attributes by a factor of three compared to single-mode approaches while maintaining high PPV. Components of the cataract algorithm were successfully deployed at three other institutions with similar accuracy. A multi-modal strategy incorporating optical character recognition and natural language processing may increase the number of cases identified while maintaining similar PPVs. Such algorithms, however, require that the needed information be embedded within clinical documents. We have demonstrated that algorithms to identify and characterize cataracts can be developed utilizing data collected via the EHR. These algorithms provide a high level of accuracy even when implemented across multiple EHRs and institutional boundaries.

Electronic Health Records in the Cloud: Improving Primary Health Care Delivery in South Africa.

PubMed

Cilliers, Liezel; Wright, Graham

2017-01-01

In South Africa, the recording of health data is done manually in a paper-based file, while attempts to digitize healthcare records have had limited success. In many countries, Electronic Health Records (EHRs) has developed in silos, with little or no integration between different operational systems. Literature has provided evidence that the cloud can be used to 'leapfrog' some of these implementation issues, but the adoption of this technology in the public health care sector has been very limited. This paper aims to identify the major reasons why the cloud has not been used to implement EHRs for the South African public health care system, and to provide recommendations of how to overcome these challenges. From the literature, it is clear that there are technology, environmental and organisational challenges affecting the implementation of EHRs in the cloud. Four recommendations are provided that can be used by the National Department of Health to implement EHRs making use of the cloud.

XML technologies for the Omaha System: a data model, a Java tool and several case studies supporting home healthcare.

PubMed

Vittorini, Pierpaolo; Tarquinio, Antonietta; di Orio, Ferdinando

2009-03-01

The eXtensible markup language (XML) is a metalanguage which is useful to represent and exchange data between heterogeneous systems. XML may enable healthcare practitioners to document, monitor, evaluate, and archive medical information and services into distributed computer environments. Therefore, the most recent proposals on electronic health records (EHRs) are usually based on XML documents. Since none of the existing nomenclatures were specifically developed for use in automated clinical information systems, but were adapted to such use, numerous current EHRs are organized as a sequence of events, each represented through codes taken from international classification systems. In nursing, a hierarchically organized problem-solving approach is followed, which hardly couples with the sequential organization of such EHRs. Therefore, the paper presents an XML data model for the Omaha System taxonomy, which is one of the most important international nomenclatures used in the home healthcare nursing context. Such a data model represents the formal definition of EHRs specifically developed for nursing practice. Furthermore, the paper delineates a Java application prototype which is able to manage such documents, shows the possibility to transform such documents into readable web pages, and reports several case studies, one currently managed by the home care service of a Health Center in Central Italy.

Integration of an OWL-DL knowledge base with an EHR prototype and providing customized information.

PubMed

Jing, Xia; Kay, Stephen; Marley, Tom; Hardiker, Nicholas R

2014-09-01

When clinicians use electronic health record (EHR) systems, their ability to obtain general knowledge is often an important contribution to their ability to make more informed decisions. In this paper we describe a method by which an external, formal representation of clinical and molecular genetic knowledge can be integrated into an EHR such that customized knowledge can be delivered to clinicians in a context-appropriate manner.Web Ontology Language-Description Logic (OWL-DL) is a formal knowledge representation language that is widely used for creating, organizing and managing biomedical knowledge through the use of explicit definitions, consistent structure and a computer-processable format, particularly in biomedical fields. In this paper we describe: 1) integration of an OWL-DL knowledge base with a standards-based EHR prototype, 2) presentation of customized information from the knowledge base via the EHR interface, and 3) lessons learned via the process. The integration was achieved through a combination of manual and automatic methods. Our method has advantages for scaling up to and maintaining knowledge bases of any size, with the goal of assisting clinicians and other EHR users in making better informed health care decisions.

Method to integrate clinical guidelines into the electronic health record (EHR) by applying the archetypes approach.

PubMed

Garcia, Diego; Moro, Claudia Maria Cabral; Cicogna, Paulo Eduardo; Carvalho, Deborah Ribeiro

2013-01-01

Clinical guidelines are documents that assist healthcare professionals, facilitating and standardizing diagnosis, management, and treatment in specific areas. Computerized guidelines as decision support systems (DSS) attempt to increase the performance of tasks and facilitate the use of guidelines. Most DSS are not integrated into the electronic health record (EHR), ordering some degree of rework especially related to data collection. This study's objective was to present a method for integrating clinical guidelines into the EHR. The study developed first a way to identify data and rules contained in the guidelines, and then incorporate rules into an archetype-based EHR. The proposed method tested was anemia treatment in the Chronic Kidney Disease Guideline. The phases of the method are: data and rules identification; archetypes elaboration; rules definition and inclusion in inference engine; and DSS-EHR integration and validation. The main feature of the proposed method is that it is generic and can be applied toany type of guideline.

Implementing EHRs: An Exploratory Study to Examine Current Practices in Migrating Physician Practice

PubMed Central

Dolezel, Diane; Moczygemba, Jackie

2015-01-01

Implementation of electronic health record (EHR) systems in physician practices is challenging and complex. In the past, physicians had little incentive to move from paper-based records. With the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009, Medicare and Medicaid incentive payments are now available for physicians who implement EHRs for meaningful use. The Office of the National Coordinator for Health Information Technology (ONC) has ample detail on clinical data needed for meaningful use in order to assess the quality of patient care. Details are lacking, however, on how much clinical data, if any, should be transferred from the old paper records during an EHR implementation project. The purpose of this exploratory study was to investigate and document the elements of longitudinal clinical data that are essential for inclusion in the EHR of physicians in a clinical practice setting, as reported by the office managers of the physicians in the study group. PMID:26807077

Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services

PubMed Central

Daniel, Christel; Ouagne, David; Sadou, Eric; Forsberg, Kerstin; Gilchrist, Mark Mc; Zapletal, Eric; Paris, Nicolas; Hussain, Sajjad; Jaulent, Marie-Christine; MD, Dipka Kalra

2016-01-01

With the development of platforms enabling the use of routinely collected clinical data in the context of international clinical research, scalable solutions for cross border semantic interoperability need to be developed. Within the context of the IMI EHR4CR project, we first defined the requirements and evaluation criteria of the EHR4CR semantic interoperability platform and then developed the semantic resources and supportive services and tooling to assist hospital sites in standardizing their data for allowing the execution of the project use cases. The experience gained from the evaluation of the EHR4CR platform accessing to semantically equivalent data elements across 11 European participating EHR systems from 5 countries demonstrated how far the mediation model and mapping efforts met the expected requirements of the project. Developers of semantic interoperability platforms are beginning to address a core set of requirements in order to reach the goal of developing cross border semantic integration of data. PMID:27570649

Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting

PubMed Central

Harrison, Andrew M.; Thongprayoon, Charat; Aakre, Christopher A.; Jeng, Jack Y.; Dziadzko, Mikhail A.; Gajic, Ognjen; Pickering, Brian W.

2017-01-01

Background Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored. Objective To test the hypothesis time to severe sepsis alert acknowledgement by critical care clinicians in the ICU setting would be reduced using an EHR-based alert acknowledgement system compared to a text paging-based system. Study Design In one arm of this simulation study, real alerts for patients in the medical ICU were delivered to critical care clinicians through the EHR. In the other arm, simulated alerts were delivered through text paging. The primary outcome was time to alert acknowledgement. The secondary outcomes were a structured, mixed quantitative/qualitative survey and informal group interview. Results The alert acknowledgement rate from the severe sepsis alert system was 3% (N = 148) and 51% (N = 156) from simulated severe sepsis alerts through traditional text paging. Time to alert acknowledgement from the severe sepsis alert system was median 274 min (N = 5) and median 2 min (N = 80) from text paging. The response rate from the EHR-based alert system was insufficient to compare primary measures. However, secondary measures revealed important barriers. Conclusion Alert fatigue, interruption, human error, and information overload are barriers to alert and simulation studies in the ICU setting. PMID:28316887

Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting.

PubMed

Harrison, Andrew M; Thongprayoon, Charat; Aakre, Christopher A; Jeng, Jack Y; Dziadzko, Mikhail A; Gajic, Ognjen; Pickering, Brian W; Herasevich, Vitaly

2017-01-01

Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored. To test the hypothesis time to severe sepsis alert acknowledgement by critical care clinicians in the ICU setting would be reduced using an EHR-based alert acknowledgement system compared to a text paging-based system. In one arm of this simulation study, real alerts for patients in the medical ICU were delivered to critical care clinicians through the EHR. In the other arm, simulated alerts were delivered through text paging. The primary outcome was time to alert acknowledgement. The secondary outcomes were a structured, mixed quantitative/qualitative survey and informal group interview. The alert acknowledgement rate from the severe sepsis alert system was 3% ( N  = 148) and 51% ( N  = 156) from simulated severe sepsis alerts through traditional text paging. Time to alert acknowledgement from the severe sepsis alert system was median 274 min ( N  = 5) and median 2 min ( N  = 80) from text paging. The response rate from the EHR-based alert system was insufficient to compare primary measures. However, secondary measures revealed important barriers. Alert fatigue, interruption, human error, and information overload are barriers to alert and simulation studies in the ICU setting.

Archetype-based data warehouse environment to enable the reuse of electronic health record data.

PubMed

Marco-Ruiz, Luis; Moner, David; Maldonado, José A; Kolstrup, Nils; Bellika, Johan G

2015-09-01

The reuse of data captured during health care delivery is essential to satisfy the demands of clinical research and clinical decision support systems. A main barrier for the reuse is the existence of legacy formats of data and the high granularity of it when stored in an electronic health record (EHR) system. Thus, we need mechanisms to standardize, aggregate, and query data concealed in the EHRs, to allow their reuse whenever they are needed. To create a data warehouse infrastructure using archetype-based technologies, standards and query languages to enable the interoperability needed for data reuse. The work presented makes use of best of breed archetype-based data transformation and storage technologies to create a workflow for the modeling, extraction, transformation and load of EHR proprietary data into standardized data repositories. We converted legacy data and performed patient-centered aggregations via archetype-based transformations. Later, specific purpose aggregations were performed at a query level for particular use cases. Laboratory test results of a population of 230,000 patients belonging to Troms and Finnmark counties in Norway requested between January 2013 and November 2014 have been standardized. Test records normalization has been performed by defining transformation and aggregation functions between the laboratory records and an archetype. These mappings were used to automatically generate open EHR compliant data. These data were loaded into an archetype-based data warehouse. Once loaded, we defined indicators linked to the data in the warehouse to monitor test activity of Salmonella and Pertussis using the archetype query language. Archetype-based standards and technologies can be used to create a data warehouse environment that enables data from EHR systems to be reused in clinical research and decision support systems. With this approach, existing EHR data becomes available in a standardized and interoperable format, thus opening a world of possibilities toward semantic or concept-based reuse, query and communication of clinical data. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Effect of EHR User Interface Changes on Internal Prescription Discrepancies

PubMed Central

Sawarkar, A.; Dementieva, Y.A.; Breydo, E.; Ramelson, H.

2014-01-01

Summary Objective To determine whether specific design interventions (changes in the user interface (UI)) of an electronic health record (EHR) medication module are associated with an increase or decrease in the incidence of contradictions between the structured and narrative components of electronic prescriptions (internal prescription discrepancies). Materials and Methods We performed a retrospective analysis of 960,000 randomly selected electronic prescriptions generated in a single EHR between 01/2004 and 12/2011. Internal prescription discrepancies were identified using a validated natural language processing tool with recall of 76% and precision of 84%. A multivariable autoregressive integrated moving average (ARIMA) model was used to evaluate the effect of five UI changes in the EHR medication module on incidence of internal prescription discrepancies. Results Over the study period 175,725 (18.4%) prescriptions were found to have internal discrepancies. The highest rate of prescription discrepancies was observed in March 2006 (22.5%) and the lowest in March 2009 (15.0%). Addition of „as directed“ option to the dropdown decreased prescription discrepancies by 195 / month (p = 0.0004). An non-interruptive alert that reminded providers to ensure that structured and narrative components did not contradict each other decreased prescription discrepancies by 145 / month (p = 0.03). Addition of a „Renew / Sign“ button to the Medication module (a negative control) did not have an effect in prescription discrepancies. Conclusions Several UI changes in the electronic medication module were effective in reducing the incidence of internal prescription discrepancies. Further research is needed to identify interventions that can completely eliminate this type of prescription error and their effects on patient outcomes. PMID:25298811

Physician activity during outpatient visits and subjective workload.

PubMed

Calvitti, Alan; Hochheiser, Harry; Ashfaq, Shazia; Bell, Kristin; Chen, Yunan; El Kareh, Robert; Gabuzda, Mark T; Liu, Lin; Mortensen, Sara; Pandey, Braj; Rick, Steven; Street, Richard L; Weibel, Nadir; Weir, Charlene; Agha, Zia

2017-05-01

We describe methods for capturing and analyzing EHR use and clinical workflow of physicians during outpatient encounters and relating activity to physicians' self-reported workload. We collected temporally-resolved activity data including audio, video, EHR activity, and eye-gaze along with post-visit assessments of workload. These data are then analyzed through a combination of manual content analysis and computational techniques to temporally align streams, providing a range of process measures of EHR usage, clinical workflow, and physician-patient communication. Data was collected from primary care and specialty clinics at the Veterans Administration San Diego Healthcare System and UCSD Health, who use Electronic Health Record (EHR) platforms, CPRS and Epic, respectively. Grouping visit activity by physician, site, specialty, and patient status enables rank-ordering activity factors by their correlation to physicians' subjective work-load as captured by NASA Task Load Index survey. We developed a coding scheme that enabled us to compare timing studies between CPRS and Epic and extract patient and visit complexity profiles. We identified similar patterns of EHR use and navigation at the 2 sites despite differences in functions, user interfaces and consequent coded representations. Both sites displayed similar proportions of EHR function use and navigation, and distribution of visit length, proportion of time physicians attended to EHRs (gaze), and subjective work-load as measured by the task load survey. We found that visit activity was highly variable across individual physicians, and the observed activity metrics ranged widely as correlates to subjective workload. We discuss implications of our study for methodology, clinical workflow and EHR redesign. Copyright © 2017 Elsevier Inc. All rights reserved.

Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record.

PubMed

González-Ferrer, A; Peleg, M; Marcos, M; Maldonado, J A

2016-07-01

Delivering patient-specific decision-support based on computer-interpretable guidelines (CIGs) requires mapping CIG clinical statements (data items, clinical recommendations) into patients' data. This is most effectively done via intermediate data schemas, which enable querying the data according to the semantics of a shared standard intermediate schema. This study aims to evaluate the use of HL7 virtual medical record (vMR) and openEHR archetypes as intermediate schemas for capturing clinical statements from CIGs that are mappable to electronic health records (EHRs) containing patient data and patient-specific recommendations. Using qualitative research methods, we analyzed the encoding of ten representative clinical statements taken from two CIGs used in real decision-support systems into two health information models (openEHR archetypes and HL7 vMR instances) by four experienced informaticians. Discussion among the modelers about each case study example greatly increased our understanding of the capabilities of these standards, which we share in this educational paper. Differing in content and structure, the openEHR archetypes were found to contain a greater level of representational detail and structure while the vMR representations took fewer steps to complete. The use of openEHR in the encoding of CIG clinical statements could potentially facilitate applications other than decision-support, including intelligent data analysis and integration of additional properties of data items from existing EHRs. On the other hand, due to their smaller size and fewer details, the use of vMR potentially supports quicker mapping of EHR data into clinical statements.

Early Experiences with Mobile Electronic Health Records Application in a Tertiary Hospital in Korea

PubMed Central

Park, Minah; Hong, Eunseok; Kim, Sunhyu; Ahn, Ryeok; Hong, Jungseok; Song, Seungyeol; Kim, Tak; Kim, Jeongkeun; Yeo, Seongwoon

2015-01-01

Objectives Recent advances in mobile technology have opened up possibilities to provide strongly integrated mobile-based services in healthcare and telemedicine. Although the number of mobile Electronic Health Record (EHR) applications is large and growing, there is a paucity of evidence demonstrating the usage patterns of these mobile applications by healthcare providers. This study aimed to illustrate the deployment process for an integrated mobile EHR application and to analyze usage patterns after provision of the mobile EHR service. Methods We developed an integrated mobile application that aimed to enhance the mobility of healthcare providers by improving access to patient- and hospital-related information during their daily medical activities. The study included mobile EHR users who accessed patient healthcare records between May 2013 and May 2014. We performed a data analysis using a web server log file analyzer from the integrated EHR system. Cluster analysis was applied to longitudinal user data based on their application usage pattern. Results The mobile EHR service named M-UMIS has been in service since May 2013. Every healthcare provider in the hospital could access the mobile EHR service and view the medical charts of their patients. The frequency of using services and network packet transmission on the M-UMIS increased gradually during the study period. The most frequently accessed service in the menu was the patient list. Conclusions A better understanding regarding the adoption of mobile EHR applications by healthcare providers in patient-centered care provides useful information to guide the design and implementation of future applications. PMID:26618036

Changes to the electronic health records market in light of health information technology certification and meaningful use

PubMed Central

Yoon, Jangho; Bossak, Brian H

2013-01-01

Background Health information technology (HIT) certification and meaningful use are interventions encouraging the adoption of electronic health records (EHRs) in the USA. However, these initiatives also constitute a significant intervention which will change the structure of the EHR market. Objective To describe quantitatively recent changes to both the demand and supply sides of the EHR market. Materials and methods A cohort of 3447 of hospitals from the HIMSS Analytics Database (2006–10) was created. Using hospital referral regions to define the local market, we determined the percentage of hospitals using paper records, the number of vendors, and local EHR vendor competition using the Herfindahl–Hirschman Index. Changes over time were assessed using a series of regression equations and geographic information systems analyses. Results Overall, there was movement away from paper records, upward trends in the number of EHR vendors, and greater competition. However, changes differed according to hospital size and region of the country. Changes were greatest for small hospitals, whereas competition and the number of vendors did not change dramatically for large hospitals. Discussion The EHR market is changing most dramatically for those least equipped to handle broad technological transformation, which underscores the need for continued targeted support. Furthermore, wide variations across the nation indicate a continued role for states in the support of EHR utilization. Conclusion The structure of the EHR market is undergoing substantial changes as desired by the proponents and architects of HIT certification and meaningful use. However, these transformations are not uniform for all hospitals or all the country. PMID:22917839

Developing an electronic health record (EHR) for methadone treatment recording and decision support

PubMed Central

2011-01-01

Background In this paper, we give an overview of methadone treatment in Ireland and outline the rationale for designing an electronic health record (EHR) with extensibility, interoperability and decision support functionality. Incorporating several international standards, a conceptual model applying a problem orientated approach in a hierarchical structure has been proposed for building the EHR. Methods A set of archetypes has been designed in line with the current best practice and clinical guidelines which guide the information-gathering process. A web-based data entry system has been implemented, incorporating elements of the paper-based prescription form, while at the same time facilitating the decision support function. Results The use of archetypes was found to capture the ever changing requirements in the healthcare domain and externalises them in constrained data structures. The solution is extensible enabling the EHR to cover medicine management in general as per the programme of the HRB Centre for Primary Care Research. Conclusions The data collected via this Irish system can be aggregated into a larger dataset, if necessary, for analysis and evidence-gathering, since we adopted the openEHR standard. It will be later extended to include the functionalities of prescribing drugs other than methadone along with the research agenda at the HRB Centre for Primary Care Research in Ireland. PMID:21284849

E-health in Switzerland: The laborious adoption of the federal law on electronic health records (EHR) and health information exchange (HIE) networks.

PubMed

De Pietro, Carlo; Francetic, Igor

2018-02-01

Within the framework of a broader e-health strategy launched a decade ago, in 2015 Switzerland passed a new federal law on patients' electronic health records (EHR). The reform requires hospitals to adopt interoperable EHRs to facilitate data sharing and cooperation among healthcare providers, ultimately contributing to improvements in quality of care and efficiency in the health system. Adoption is voluntary for ambulatories and private practices, that may however be pushed towards EHRs by patients. The latter have complete discretion in the choice of the health information to share. Moreover, careful attention is given to data security issues. Despite good intentions, the high institutional and organisational fragmentation of the Swiss healthcare system, as well as the lack of full agreement with stakeholders on some critical points of the reform, slowed the process of adoption of the law. In particular, pilot projects made clear that the participation of ambulatories is doomed to be low unless appropriate incentives are put in place. Moreover, most stakeholders point at the strategy proposed to finance technical implementation and management of EHRs as a major drawback. After two years of intense preparatory work, the law entered into force in April 2017. Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

Policy brief on the current status of certification of electronic Health Records in the US and Europe.

PubMed

De Moor, Georges; O'Brien, John; Fridsma, Doug; Bean, Carol; Devlies, Jos; Cusack, Caitlin M; Bloomrosen, Meryl; Lorenzi, Nancy; Coorevits, Pascal

2011-01-01

If Electronic Health Record systems are to provide an effective contribution to healthcare, a set of benchmarks need to be set to ensure quality control and interoperability of systems. This paper outlines the prevailing status of EHR certification in the US and the EU, compares and contrasts established schemes and poses opportunities for convergence of activity in the domain designed to advance certification endeavours generally. Several EU Member States have in the past proceeded with EHR systems quality labeling and/or certification, but these differ in scope, in legal framework under which they operate, in policies (legislation and financial incentives), in organization, and perhaps most importantly in the quality criteria used for benchmarking. Harmonization, therefore, became a must. Now, through EuroRec (with approaches ranging from self-assessment to third party certification depending on the level of confidence needed) and its Seals, the possibility to achieve this for EHR systems has started in the whole of Europe. The US HITECH Act also attempts to create incentives for all hospitals and eligible providers to adopt and use electronic information. A centerpiece of the Act is to put in place strong financial incentives to adopt and meaningfully use EHRs. The HHS/EHR Certification Programme makes use of ISO/IEC 170XX standards for accreditation, testing and certification. The approved test method addresses the functional and the interoperability requirements defined in the Final Rule criteria and standards. To date six Authorized Testing and Certification Bodies (ATCBs) are testing and certifying products in the US.

Incorporating personalized gene sequence variants, molecular genetics knowledge, and health knowledge into an EHR prototype based on the Continuity of Care Record standard.

PubMed

Jing, Xia; Kay, Stephen; Marley, Thomas; Hardiker, Nicholas R; Cimino, James J

2012-02-01

The current volume and complexity of genetic tests, and the molecular genetics knowledge and health knowledge related to interpretation of the results of those tests, are rapidly outstripping the ability of individual clinicians to recall, understand and convey to their patients information relevant to their care. The tailoring of molecular genetics knowledge and health knowledge in clinical settings is important both for the provision of personalized medicine and to reduce clinician information overload. In this paper we describe the incorporation, customization and demonstration of molecular genetic data (mainly sequence variants), molecular genetics knowledge and health knowledge into a standards-based electronic health record (EHR) prototype developed specifically for this study. We extended the CCR (Continuity of Care Record), an existing EHR standard for representing clinical data, to include molecular genetic data. An EHR prototype was built based on the extended CCR and designed to display relevant molecular genetics knowledge and health knowledge from an existing knowledge base for cystic fibrosis (OntoKBCF). We reconstructed test records from published case reports and represented them in the CCR schema. We then used the EHR to dynamically filter molecular genetics knowledge and health knowledge from OntoKBCF using molecular genetic data and clinical data from the test cases. The molecular genetic data were successfully incorporated in the CCR by creating a category of laboratory results called "Molecular Genetics" and specifying a particular class of test ("Gene Mutation Test") in this category. Unlike other laboratory tests reported in the CCR, results of tests in this class required additional attributes ("Molecular Structure" and "Molecular Position") to support interpretation by clinicians. These results, along with clinical data (age, sex, ethnicity, diagnostic procedures, and therapies) were used by the EHR to filter and present molecular genetics knowledge and health knowledge from OntoKBCF. This research shows a feasible model for delivering patient sequence variants and presenting tailored molecular genetics knowledge and health knowledge via a standards-based EHR system prototype. EHR standards can be extended to include the necessary patient data (as we have demonstrated in the case of the CCR), while knowledge can be obtained from external knowledge bases that are created and maintained independently from the EHR. This approach can form the basis for a personalized medicine framework, a more comprehensive standards-based EHR system and a potential platform for advancing translational research by both disseminating results and providing opportunities for new insights into phenotype-genotype relationships. Copyright © 2011 Elsevier Inc. All rights reserved.

Rapid EHR development and implementation using web and cloud-based architecture in a large home health and hospice organization.

PubMed

Weaver, Charlotte A; Teenier, Pamela

2014-01-01

Health care organizations have long been limited to a small number of major vendors in their selection of an electronic health record (EHR) system in the national and international marketplace. These major EHR vendors have in common base systems that are decades old, are built in antiquated programming languages, use outdated server architecture, and are based on inflexible data models [1,2]. The option to upgrade their technology to keep pace with the power of new web-based architecture, programming tools and cloud servers is not easily undertaken due to large client bases, development costs and risk [3]. This paper presents the decade-long efforts of a large national provider of home health and hospice care to select an EHR product, failing that to build their own and failing that initiative to go back into the market in 2012. The decade time delay had allowed new technologies and more nimble vendors to enter the market. Partnering with a new start-up company doing web and cloud based architecture for the home health and hospice market, made it possible to build, test and implement an operational and point of care system in 264 home health locations across 40 states and three time zones in the United States. This option of "starting over" with the new web and cloud technologies may be posing a next generation of new EHR vendors that retells the Blackberry replacement by iPhone story in healthcare.

77 FR 28391 - Announcement of Requirements and Registration for “Ocular Imaging Challenge”

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-14

..., color, zoom, pan) Integrate with existing EHRs (e.g. ``single sign-on'') Where applicable, leverage and... existing office hardware platforms, and to integrate with existing EHR systems (e.g. ``single sign-on... on the acquisition devices in proprietary databases and file formats, and therefore have limited...

Inter-organizational future proof EHR systems. A review of the security and privacy related issues.

PubMed

van der Linden, Helma; Kalra, Dipak; Hasman, Arie; Talmon, Jan

2009-03-01

Identification and analysis of privacy and security related issues that occur when health information is exchanged between health care organizations. Based on a generic scenario questions were formulated to reveal the occurring issues. Possible answers were verified in literature. Ensuring secure health information exchange across organizations requires a standardization of security measures that goes beyond organizational boundaries, such as global definitions of professional roles, global standards for patient consent and semantic interoperable audit logs. As to be able to fully address the privacy and security issues in interoperable EHRs and the long-life virtual EHR it is necessary to realize a paradigm shift from storing all incoming information in a local system to retrieving information from external systems whenever that information is deemed necessary for the care of the patient.

Utilization of open source electronic health record around the world: A systematic review.

PubMed

Aminpour, Farzaneh; Sadoughi, Farahnaz; Ahamdi, Maryam

2014-01-01

Many projects on developing Electronic Health Record (EHR) systems have been carried out in many countries. The current study was conducted to review the published data on the utilization of open source EHR systems in different countries all over the world. Using free text and keyword search techniques, six bibliographic databases were searched for related articles. The identified papers were screened and reviewed during a string of stages for the irrelevancy and validity. The findings showed that open source EHRs have been wildly used by source limited regions in all continents, especially in Sub-Saharan Africa and South America. It would create opportunities to improve national healthcare level especially in developing countries with minimal financial resources. Open source technology is a solution to overcome the problems of high-costs and inflexibility associated with the proprietary health information systems.

Prehospital emergency removal of football helmets using two techniques.

PubMed

Swartz, Erik E; Hernandez, Adam E; Decoster, Laura C; Mihalik, Jason P; Burns, Matthew F; Reynolds, Cathryn

2011-01-01

To compare the Eject Helmet Removal (EHR) System with manual football helmet removal. This quasiexperimental counterbalanced study was conducted in a controlled laboratory setting. Thirty certified athletic trainers (17 men and 13 women; mean ± standard deviation age: 33.03 ± 10.02 years; height: 174.53 ± 12.04 cm; mass: 85.19 ± 19.84 kg) participated after providing informed consent. Participants removed a Riddell Revolution IQ football helmet from a healthy model two times each under two conditions: manual helmet removal (MHR) and removal with the EHR system. A six-camera, three-dimensional motion capture system was used to record range of motion (ROM) of the head. A digital stopwatch was used to time trials and to record a split time associated with EHR system bladder insertion. A modified Borg CR10 scale was used to measure the rating of perceived exertion (RPE). Mean values were created for each variable. Three pairwise t-tests with Bonferroni-corrected alpha levels tested for differences between time for removal, split time, and RPE. A 2 x 3 (condition x plane) totally within-subjects repeated-measures design analysis of variance (ANOVA) tested for differences in head ROM between the sagittal, frontal, and transverse planes. Analyses were performed using SPSS (version 18.0) (alpha = 0.05). There was no statistically significant difference in perceived difficulty between EHR (RPE = 2.73) and MHR (RPE = 2.55) (t(29) = 0.76; p = 0.45; d = 0.20). Manual helmet removal was, on average, 28.95 seconds faster than EHR (t(29) = 11.44; p < 0.001). Head ROM was greater during EHR compared with MHR in the sagittal (t(29) = 4.57; p < 0.001), frontal (t(29) = 5.90; p < 0.001), and transverse (t(29) = 8.34; p < 0.001) planes. Head ROM was also greater during the helmet-removal portion of EHR in the frontal (t(29) = 4.44; p < 0.001) and transverse (t(29) = 5.99; p < 0.001) planes, compared with MHR. Regardless of technique, sagittal-plane head ROM was greater than frontal- and transverse-plane movements (F(2,58) = 241.47; p < 0.001). Removing a helmet manually is faster and creates slightly less motion than removing a helmet using the Eject system. Both techniques were equally easy to use. Future research should analyze the performance of the Eject system in other styles of football helmets and in helmets used in other sports such as lacrosse, motorsports, and ice hockey.

Electronic Health Record Data Versus the National Health and Nutrition Examination Survey (NHANES): A Comparison of Overweight and Obesity Rates.

PubMed

Funk, Luke M; Shan, Ying; Voils, Corrine I; Kloke, John; Hanrahan, Lawrence P

2017-06-01

Estimating population-level obesity rates is important for informing policy and targeting treatment. The current gold standard for obesity measurement in the United States-the National Health and Nutrition Examination Survey (NHANES)-samples <0.1% of the population and does not target state-level or health system-level measurement. To assess the feasibility of using body mass index (BMI) data from the electronic health record (EHR) to assess rates of overweight and obesity and compare these rates to national NHANES estimates. Using outpatient data from 42 clinics, we studied 388,762 patients in a large health system with at least 1 primary care visit in 2011-2012. We compared crude and adjusted overweight and obesity rates by age category and ethnicity (white, black, Hispanic, Other) between EHR and NHANES participants. Adjusted overweight (BMI≥25) and obesity rates were calculated by a 2-step process. Step 1 accounted for missing BMI data using inverse probability weighting, whereas step 2 included a poststratification correction to adjust the EHR population to a nationally representative sample. Adjusted rates of obesity (BMI≥30) for EHR patients were 37.3% [95% confidence interval (95% CI), 37.1-37.5] compared with 35.1% (95% CI, 32.3-38.1) for NHANES patients. Among the 16 different obesity class, ethnicity, and sex strata that were compared between EHR and NHANES patients, 14 (87.5%) contained similar obesity estimates (ie, overlapping 95% CIs). EHRs may be an ideal tool for identifying and targeting patients with obesity for implementation of public health and/or individual level interventions.

[Overview of the US policies for health information technology and lessons learned for Israel].

PubMed

Topaz, Maxim; Ash, Nachman

2013-05-01

The heaLthcare system in the United States (U.S.) faces a number of significant changes aimed at improving the quality and availability of medical services and reducing costs. Implementation of health information technologies, especiaLly ELectronic Health Records (EHR), is central to achieving these goals. Several recent Legislative efforts in the U.S. aim at defining standards and promoting wide scale "Meaningful Use" of the novel technologies. In Israel, the majority of heaLthcare providers adopted EHR throughout the Last decade. Unlike the U.S., the process of EHR adoption occurred spontaneously, without governmental control or the definition of standards. In this article, we review the U.S. health information technology policies and standards and suggest potential lessons Learned for Israel. First, we present the three-staged Meaningful Use regulations that require eligible healthcare practitioners to use EHR in their practice. We also describe the standards for EHR certification and national efforts to create interoperable health information technology networks. Finally, we provide a brief overview of the IsraeLi regulation in the field of EHR. Although the adoption of health information technology is wider in Israel, the Lack of technology standards and governmental control has Led to Large technology gaps between providers. The example of the U.S. Legislation urges the adoption of several critical steps to further enhance the quality and efficiency of the Israeli healthcare system, in particular: strengthening health information technology regulation; developing Licensure criteria for health information technology; bridging the digital gap between healthcare organizations; defining quality measures; and improving the accessibility of health information for patients.

Evaluation of medication alerts in electronic health records for compliance with human factors principles

PubMed Central

Phansalkar, Shobha; Zachariah, Marianne; Seidling, Hanna M; Mendes, Chantal; Volk, Lynn; Bates, David W

2014-01-01

Introduction Increasing the adoption of electronic health records (EHRs) with integrated clinical decision support (CDS) is a key initiative of the current US healthcare administration. High over-ride rates of CDS alerts strongly limit these potential benefits. As a result, EHR designers aspire to improve alert design to achieve better acceptance rates. In this study, we evaluated drug–drug interaction (DDI) alerts generated in EHRs and compared them for compliance with human factors principles. Methods We utilized a previously validated questionnaire, the I-MeDeSA, to assess compliance with nine human factors principles of DDI alerts generated in 14 EHRs. Two reviewers independently assigned scores evaluating the human factors characteristics of each EHR. Rankings were assigned based on these scores and recommendations for appropriate alert design were derived. Results The 14 EHRs evaluated in this study received scores ranging from 8 to 18.33, with a maximum possible score of 26. Cohen's κ (κ=0.86) reflected excellent agreement among reviewers. The six vendor products tied for second and third place rankings, while the top system and bottom five systems were home-grown products. The most common weaknesses included the absence of characteristics such as alert prioritization, clear and concise alert messages indicating interacting drugs, actions for clinical management, and a statement indicating the consequences of over-riding the alert. Conclusions We provided detailed analyses of the human factors principles which were assessed and described our recommendations for effective alert design. Future studies should assess whether adherence to these recommendations can improve alert acceptance. PMID:24780721

A needs assessment of health information technology for improving care coordination in three leading patient-centered medical homes.

PubMed

Richardson, Joshua E; Vest, Joshua R; Green, Cori M; Kern, Lisa M; Kaushal, Rainu

2015-07-01

We investigated ways that patient-centered medical homes (PCMHs) are currently using health information technology (IT) for care coordination and what types of health IT are needed to improve care coordination. A multi-disciplinary team of researchers conducted semi-structured telephone interviews with 28 participants from 3 PCMHs in the United States. Participants included administrators and clinicians from PCMHs, electronic health record (EHR) and health information exchange (HIE) representatives, and policy makers. Participants identified multiple barriers to care coordination using current health IT tools. We identified five areas in which health IT can improve care coordination in PCMHs: 1) monitoring patient populations, 2) notifying clinicians and other staff when specific patients move across care settings, 3) collaborating around patients, 4) reporting activities, and 5) interoperability. To accomplish these tasks, many participants described using homegrown care coordination systems separate from EHRs. The participants in this study have resources, experience, and expertise with using health IT for care coordination, yet they still identified multiple areas for improvement. We hypothesize that focusing health IT development in the five areas we identified can enable more effective care coordination. Key findings from this work are that homegrown systems apart from EHRs are currently used to support care coordination and, also, that reporting tools are key components of care coordination. New health IT that enables monitoring, notifying, collaborating, reporting, and interoperability would enhance care coordination within PCMHs beyond what current health IT enables. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

A Health Information System for Scalable and Comprehensive Assessment of Well-Being: A Multidisciplinary Team Solution.

PubMed

Zhou, Leming; Watzlaf, Valerie; Abernathy, Paul; Abdelhak, Mervat

2017-01-01

To improve the health and well-being of the medically underserved in a free clinic in Pittsburgh, Pennsylvania, a multidisciplinary team representing several health information management and information technology (IT) professionals, including faculty, students, researchers, and clinicians, created a novel IT system called imHealthy. The imHealthy system includes four critical components: a multidomain well-being questionnaire, a mobile app for data collection and tracking, a customization of an open-source electronic health record (EHR), and a data integration and well-being evaluation program leading to recommendations for personalized interventions to caregivers serving the medically underserved. This multidisciplinary team has worked closely on this project and finished critical components of the imHealthy system. Evaluations of these components will be conducted, and factors facilitating the design and adoption of the imHealthy system will be presented. The results from this research can serve as a model for free clinics with similar needs that identified by the research team in Cleveland, Indianapolis, Minnesota, Motor City, Orange County, San Diego, and St. Louis.

Impact of electronic health records on malpractice claims in a sample of physician offices in Colorado: a retrospective cohort study.

PubMed

Victoroff, Michael S; Drury, Barbara M; Campagna, Elizabeth J; Morrato, Elaine H

2013-05-01

Electronic health records (EHRs) might reduce medical liability claims and potentially justify premium credits from liability insurers, but the evidence is limited. To evaluate the association between EHR use and medical liability claims in a population of office-based physicians, including claims that could potentially be directly prevented by features available in EHRs ("EHR-sensitive" claims). Retrospective cohort study of medical liability claims and analysis of claim abstracts. The 26 % of Colorado office-based physicians insured through COPIC Insurance Company who responded to a survey on EHR use (894 respondents out of 3,502 invitees). Claims incidence rate ratio (IRR); prevalence of "EHR-sensitive" claims. 473 physicians (53 % of respondents) used an office-based EHR. After adjustment for sex, birth cohort, specialty, practice setting and use of an EHR in settings other than an office, IRR for all claims was not significantly different between EHR users and non-users (0.88, 95 % CI 0.52-1.46; p = 0.61), or for users after EHR implementation as compared to before (0.73, 95 % CI 0.41-1.29; p = 0.28). Of 1,569 claim abstracts reviewed, 3 % were judged "Plausibly EHR-sensitive," 82 % "Unlikely EHR-sensitive," and 15 % "Unable to determine." EHR-sensitive claims occurred in six out of 633 non-users and two out of 251 EHR users. Incidence rate ratios were 0.01 for both groups. Colorado physicians using office-based EHRs did not have significantly different rates of liability claims than non-EHR users; nor were rates different for EHR users before and after EHR implementation. The lack of significant effect may be due to a low prevalence of EHR-sensitive claims. Further research on EHR use and medical liability across a larger population of physicians is warranted.

Characteristics of patient portals developed in the context of health information exchanges: early policy effects of incentives in the meaningful use program in the United States.

PubMed

Otte-Trojel, Terese; de Bont, Antoinette; van de Klundert, Joris; Rundall, Thomas G

2014-11-21

In 2014, the Centers for Medicare & Medicaid Services in the United States launched the second stage of its Electronic Health Record (EHR) Incentive Program, providing financial incentives to providers to meaningfully use their electronic health records to engage patients online. Patient portals are electronic means to engage patients by enabling secure access to personal medical records, communication with providers, various self-management tools, and administrative functionalities. Outcomes of patient portals have mainly been reported in large integrated health systems. This may now change as the EHR Incentive Program enables and supports the use of patient portals in other types of health systems. In this paper, we focus on Health Information Exchanges (HIE): entities that facilitate data exchange within networks of independent providers. In response to the EHR Incentive Program, some Health Information Exchanges in the United States are developing patient portals and offering them to their network of providers. Such patient portals hold high value for patients, especially in fragmented health system contexts, due to the portals' ability to integrate health information from an array of providers and give patients one access point to this information. Our aim was to report on the early effects of the EHR incentives on patient portal development by HIEs. Specifically, we describe the characteristics of these portals, identify factors affecting adoption by providers during the 2013-2014 time frame, and consider what may be the primary drivers of providers' adoption of patient portals in the future. We identified four HIEs that were developing patient portals as of spring 2014. We collected relevant documents and conducted interviews with six HIE leaders as well as two providers that were implementing the portals in their practices. We performed content analysis on these data to extract information pertinent to our study objectives. Our findings suggest that there are two primary types of patient portals available to providers in HIEs: (1) portals linked to EHRs of individual providers or health systems and (2) HIE-sponsored portals that link information from multiple providers' EHRs. The decision of providers in the HIEs to adopt either one of these portals appears to be a trade-off between functionality, connectivity, and cost. Our findings also suggest that while the EHR Incentive Program is influencing these decisions, it may not be enough to drive adoption. Rather, patient demand for access to patient portals will be necessary to achieve widespread portal adoption and realization of potential benefits. Optimizing patient value should be the main principle underlying policies intending to increase online patient engagement in the third stage of the EHR Incentive Program. We propose a number of features for the EHR Incentive Program that will enhance patient value and thereby support the growth and sustainability of patient portals provided by Health Information Exchanges.

Exploring the Association Between Electronic Health Record Use and Burnout Among Psychiatry Residents and Faculty: a Pilot Survey Study.

PubMed

Domaney, Nicholas M; Torous, John; Greenberg, William E

2018-05-21

Burnout is a phenomenon with profound negative effects on the US healthcare system. Little is known about the relationship between time spent working on electronic health record (EHR) and burnout among psychiatry residents. The purpose of this study is to generate preliminary data on EHR use and burnout among psychiatry residents and faculty. In August 2017, psychiatry residents and faculty at an academic medical center were given the Maslach Burnout Inventory (MBI), a standardized measurement tool for burnout, and a survey of factors related to EHR use and potential risk factors for burnout. MBI data along with selected burnout risk and protective factors were analyzed with R Studio software. Responses were obtained from 40 psychiatry residents (73%) and 12 clinical faculty members (40%). Residents reported 22 h per week using EHR on average. Mean score of residents surveyed in postgraduate year (PGY)-1-4 met criteria for high emotional exhaustion associated with burnout. The magnitude of correlation between EHR use and emotional exhaustion was stronger than for other burnout factors including sleep, exercise, and clinical service. Psychiatry residents show signs of high emotional exhaustion, which is associated with burnout. Results demonstrate a strong positive correlation between EHR use and resident burnout. Time spent on EHR use may be an area of importance for psychiatry program directors and other psychiatric educators to consider when seeking to minimize burnout and promote wellness.

Implementing electronic health records (EHRs): health care provider perceptions before and after transition from a local basic EHR to a commercial comprehensive EHR.

PubMed

Krousel-Wood, Marie; McCoy, Allison B; Ahia, Chad; Holt, Elizabeth W; Trapani, Donnalee N; Luo, Qingyang; Price-Haywood, Eboni G; Thomas, Eric J; Sittig, Dean F; Milani, Richard V

2018-06-01

We assessed changes in the percentage of providers with positive perceptions of electronic health record (EHR) benefit before and after transition from a local basic to a commercial comprehensive EHR. Changes in the percentage of providers with positive perceptions of EHR benefit were captured via a survey of academic health care providers before (baseline) and at 6-12 months (short term) and 12-24 months (long term) after the transition. We analyzed 32 items for the overall group and by practice setting, provider age, and specialty using separate multivariable-adjusted random effects logistic regression models. A total of 223 providers completed all 3 surveys (30% response rate): 85.6% had outpatient practices, 56.5% were >45 years old, and 23.8% were primary care providers. The percentage of providers with positive perceptions significantly increased from baseline to long-term follow-up for patient communication, hospital transitions - access to clinical information, preventive care delivery, preventive care prompt, preventive lab prompt, satisfaction with system reliability, and sharing medical information (P < .05 for each). The percentage of providers with positive perceptions significantly decreased over time for overall satisfaction, productivity, better patient care, clinical decision quality, easy access to patient information, monitoring patients, more time for patients, coordination of care, computer access, adequate resources, and satisfaction with ease of use (P < 0.05 for each). Results varied by subgroup. After a transition to a commercial comprehensive EHR, items with significant increases and significant decreases in the percentage of providers with positive perceptions of EHR benefit were identified, overall and by subgroup.

Comparison of accuracy of physical examination findings in initial progress notes between paper charts and a newly implemented electronic health record.

PubMed

Yadav, Siddhartha; Kazanji, Noora; K C, Narayan; Paudel, Sudarshan; Falatko, John; Shoichet, Sandor; Maddens, Michael; Barnes, Michael A

2017-01-01

There have been several concerns about the quality of documentation in electronic health records (EHRs) when compared to paper charts. This study compares the accuracy of physical examination findings documentation between the two in initial progress notes. Initial progress notes from patients with 5 specific diagnoses with invariable physical findings admitted to Beaumont Hospital, Royal Oak, between August 2011 and July 2013 were randomly selected for this study. A total of 500 progress notes were retrospectively reviewed. The paper chart arm consisted of progress notes completed prior to the transition to an EHR on July 1, 2012. The remaining charts were placed in the EHR arm. The primary endpoints were accuracy, inaccuracy, and omission of information. Secondary endpoints were time of initiation of progress note, word count, number of systems documented, and accuracy based on level of training. The rate of inaccurate documentation was significantly higher in the EHRs compared to the paper charts (24.4% vs 4.4%). However, expected physical examination findings were more likely to be omitted in the paper notes compared to EHRs (41.2% vs 17.6%). Resident physicians had a smaller number of inaccuracies (5.3% vs 17.3%) and omissions (16.8% vs 33.9%) compared to attending physicians. During the initial phase of implementation of an EHR, inaccuracies were more common in progress notes in the EHR compared to the paper charts. Residents had a lower rate of inaccuracies and omissions compared to attending physicians. Further research is needed to identify training methods and incentives that can reduce inaccuracies in EHRs during initial implementation. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development

PubMed Central

Wright, Adam; Sittig, Dean F

2015-01-01

Objective Clinical decision support (CDS) is essential for delivery of high-quality, cost-effective, and safe healthcare. The authors sought to evaluate the CDS capabilities across electronic health record (EHR) systems. Methods We evaluated the CDS implementation capabilities of 8 Office of the National Coordinator for Health Information Technology Authorized Certification Body (ONC-ACB)-certified EHRs. Within each EHR, the authors attempted to implement 3 user-defined rules that utilized the various data and logic elements expected of typical EHRs and that represented clinically important evidenced-based care. The rules were: 1) if a patient has amiodarone on his or her active medication list and does not have a thyroid-stimulating hormone (TSH) result recorded in the last 12 months, suggest ordering a TSH; 2) if a patient has a hemoglobin A1c result >7% and does not have diabetes on his or her problem list, suggest adding diabetes to the problem list; and 3) if a patient has coronary artery disease on his or her problem list and does not have aspirin on the active medication list, suggest ordering aspirin. Results Most evaluated EHRs lacked some CDS capabilities; 5 EHRs were able to implement all 3 rules, and the remaining 3 EHRs were unable to implement any of the rules. One of these did not allow users to customize CDS rules at all. The most frequently found shortcomings included the inability to use laboratory test results in rules, limit rules by time, use advanced Boolean logic, perform actions from the alert interface, and adequately test rules. Conclusion Significant improvements in the EHR certification and implementation procedures are necessary. PMID:26104739

Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

PubMed Central

Rasmussen, Luke V; Berg, Richard L; Linneman, James G; McCarty, Catherine A; Waudby, Carol; Chen, Lin; Denny, Joshua C; Wilke, Russell A; Pathak, Jyotishman; Carrell, David; Kho, Abel N; Starren, Justin B

2012-01-01

Objective There is increasing interest in using electronic health records (EHRs) to identify subjects for genomic association studies, due in part to the availability of large amounts of clinical data and the expected cost efficiencies of subject identification. We describe the construction and validation of an EHR-based algorithm to identify subjects with age-related cataracts. Materials and methods We used a multi-modal strategy consisting of structured database querying, natural language processing on free-text documents, and optical character recognition on scanned clinical images to identify cataract subjects and related cataract attributes. Extensive validation on 3657 subjects compared the multi-modal results to manual chart review. The algorithm was also implemented at participating electronic MEdical Records and GEnomics (eMERGE) institutions. Results An EHR-based cataract phenotyping algorithm was successfully developed and validated, resulting in positive predictive values (PPVs) >95%. The multi-modal approach increased the identification of cataract subject attributes by a factor of three compared to single-mode approaches while maintaining high PPV. Components of the cataract algorithm were successfully deployed at three other institutions with similar accuracy. Discussion A multi-modal strategy incorporating optical character recognition and natural language processing may increase the number of cases identified while maintaining similar PPVs. Such algorithms, however, require that the needed information be embedded within clinical documents. Conclusion We have demonstrated that algorithms to identify and characterize cataracts can be developed utilizing data collected via the EHR. These algorithms provide a high level of accuracy even when implemented across multiple EHRs and institutional boundaries. PMID:22319176

Health services research evaluation principles. Broadening a general framework for evaluating health information technology.

PubMed

Sockolow, P S; Crawford, P R; Lehmann, H P

2012-01-01

Our forthcoming national experiment in increased health information technology (HIT) adoption funded by the American Recovery and Reinvestment Act of 2009 will require a comprehensive approach to evaluating HIT. The quality of evaluation studies of HIT to date reveals a need for broader evaluation frameworks that limits the generalizability of findings and the depth of lessons learned. Develop an informatics evaluation framework for health information technology (HIT) integrating components of health services research (HSR) evaluation and informatics evaluation to address identified shortcomings in available HIT evaluation frameworks. A systematic literature review updated and expanded the exhaustive review by Ammenwerth and deKeizer (AdK). From retained studies, criteria were elicited and organized into classes within a framework. The resulting Health Information Technology Research-based Evaluation Framework (HITREF) was used to guide clinician satisfaction survey construction, multi-dimensional analysis of data, and interpretation of findings in an evaluation of a vanguard community health care EHR. The updated review identified 128 electronic health record (EHR) evaluation studies and seven evaluation criteria not in AdK: EHR Selection/Development/Training; Patient Privacy Concerns; Unintended Consequences/ Benefits; Functionality; Patient Satisfaction with EHR; Barriers/Facilitators to Adoption; and Patient Satisfaction with Care. HITREF was used productively and was a complete evaluation framework which included all themes that emerged. We can recommend to future EHR evaluators that they consider adding a complete, research-based HIT evaluation framework, such as HITREF, to their evaluation tools suite to monitor HIT challenges as the federal government strives to increase HIT adoption.

Does adoption of electronic health records improve organizational performances of hospital surgical units? Results from the French e-SI (PREPS-SIPS) study.

PubMed

Plantier, Morgane; Havet, Nathalie; Durand, Thierry; Caquot, Nicolas; Amaz, Camille; Philip, Irène; Biron, Pierre; Perrier, Lionel

2017-02-01

Electronic health records (EHR) are increasingly being adopted by healthcare systems worldwide. In France, the "Hôpital numérique 2012-2017" program was implemented as part of a strategic plan to modernize health information technology (HIT), including promotion of widespread EHR use. With significant upfront investment costs as well as ongoing operational expenses, it is important to assess this system in terms of its ability to result in improvements in hospital performances. The aim of this study was to evaluate the impact of EHR use on the organizational performances of acute care hospital surgical units throughout France. This retrospective study was based on data derived from three national databases for year the 2012: IPAQSS (Indicators of improvement in the quality and the management of healthcare, "IPAQSS"), Hospi-Diag (French hospital performance indicators), and the national accreditation database. National data and methodological support were provided by the French Ministry of Health (DGOS) and the French National Authority for Health (HAS). Multivariate linear models were used to assess four organizational performance indicators: the occupancy rate of surgical inpatient beds, operating room utilization, the activity per surgeon, and the activity per both nurse anesthetist and anesthesiologist which were dependent variables. Several independent variables were taken into account, including the degree of EHR use. The models revealed a significant positive impact of EHR use on operating room utilization and bed occupancy rates for surgical inpatient units. No significant association was found between the activity per surgeon or the activity per nurse anesthetist and anesthesiologist with EHR use. All four organizational performance indicators were impacted by the type of hospital, the geographical region, and the severity of the pathologies. We were able to verify the purported potential benefits of EHR use on the organizational performances of surgical units in French hospitals. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Developing an Interface to Order and Document Health Education Videos in the Electronic Health Record.

PubMed

Wojcik, Lauren

2015-01-01

Transitioning to electronic health records (EHRs) provides an opportunity for health care systems to integrate educational content available on interactive patient systems (IPS) with the medical documentation system. This column discusses how one hospital simplified providers' workflow by making it easier to order educational videos and ensure that completed education is documented within the medical record. Integrating the EHR and IPS streamlined the provision of patient education, improved documentation, and supported the organization in meeting core requirements for Meaningful Use.

Privacy and Access Control for IHE-Based Systems

NASA Astrophysics Data System (ADS)

Katt, Basel; Breu, Ruth; Hafner, Micahel; Schabetsberger, Thomas; Mair, Richard; Wozak, Florian

Electronic Health Record (EHR) is the heart element of any e-health system, which aims at improving the quality and efficiency of healthcare through the use of information and communication technologies. The sensitivity of the data contained in the health record poses a great challenge to security. In this paper we propose a security architecture for EHR systems that are conform with IHE profiles. In this architecture we are tackling the problems of access control and privacy. Furthermore, a prototypical implementation of the proposed model is presented.

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

PubMed Central

Miotto, Riccardo; Li, Li; Kidd, Brian A.; Dudley, Joel T.

2016-01-01

Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervised deep feature learning method to derive a general-purpose patient representation from EHR data that facilitates clinical predictive modeling. In particular, a three-layer stack of denoising autoencoders was used to capture hierarchical regularities and dependencies in the aggregated EHRs of about 700,000 patients from the Mount Sinai data warehouse. The result is a representation we name “deep patient”. We evaluated this representation as broadly predictive of health states by assessing the probability of patients to develop various diseases. We performed evaluation using 76,214 test patients comprising 78 diseases from diverse clinical domains and temporal windows. Our results significantly outperformed those achieved using representations based on raw EHR data and alternative feature learning strategies. Prediction performance for severe diabetes, schizophrenia, and various cancers were among the top performing. These findings indicate that deep learning applied to EHRs can derive patient representations that offer improved clinical predictions, and could provide a machine learning framework for augmenting clinical decision systems. PMID:27185194

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

NASA Astrophysics Data System (ADS)

Miotto, Riccardo; Li, Li; Kidd, Brian A.; Dudley, Joel T.

2016-05-01

Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervised deep feature learning method to derive a general-purpose patient representation from EHR data that facilitates clinical predictive modeling. In particular, a three-layer stack of denoising autoencoders was used to capture hierarchical regularities and dependencies in the aggregated EHRs of about 700,000 patients from the Mount Sinai data warehouse. The result is a representation we name “deep patient”. We evaluated this representation as broadly predictive of health states by assessing the probability of patients to develop various diseases. We performed evaluation using 76,214 test patients comprising 78 diseases from diverse clinical domains and temporal windows. Our results significantly outperformed those achieved using representations based on raw EHR data and alternative feature learning strategies. Prediction performance for severe diabetes, schizophrenia, and various cancers were among the top performing. These findings indicate that deep learning applied to EHRs can derive patient representations that offer improved clinical predictions, and could provide a machine learning framework for augmenting clinical decision systems.

Legal, ethical, and financial dilemmas in electronic health record adoption and use.

PubMed

Sittig, Dean F; Singh, Hardeep

2011-04-01

Electronic health records (EHRs) facilitate several innovations capable of reforming health care. Despite their promise, many currently unanswered legal, ethical, and financial questions threaten the widespread adoption and use of EHRs. Key legal dilemmas that must be addressed in the near-term pertain to the extent of clinicians' responsibilities for reviewing the entire computer-accessible clinical synopsis from multiple clinicians and institutions, the liabilities posed by overriding clinical decision support warnings and alerts, and mechanisms for clinicians to publically report potential EHR safety issues. Ethical dilemmas that need additional discussion relate to opt-out provisions that exclude patients from electronic record storage, sale of deidentified patient data by EHR vendors, adolescent control of access to their data, and use of electronic data repositories to redesign the nation's health care delivery and payment mechanisms on the basis of statistical analyses. Finally, one overwhelming financial question is who should pay for EHR implementation because most users and current owners of these systems will not receive the majority of benefits. The authors recommend that key stakeholders begin discussing these issues in a national forum. These actions can help identify and prioritize solutions to the key legal, ethical, and financial dilemmas discussed, so that widespread, safe, effective, interoperable EHRs can help transform health care.

Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model.

PubMed

Tubaishat, Ahmad

2017-09-18

Electronic health records (EHRs) are increasingly being implemented in healthcare organizations but little attention has been paid to the degree to which nurses as end-users will accept these systems and subsequently use them. To explore nurses' perceptions of usefulness and ease-of-use of EHRs. The relationship between these constructs was examined, and its predictors were studied. A national exploratory study was conducted with 1539 nurses from 15 randomly selected hospitals, representative of different regions and healthcare sectors in Jordan. Data were collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. Correlations and linear multiple regression were utilized to analyze the data. Jordanian nurses demonstrated a positive perception of the usefulness and ease-of-use of EHRs, and subsequently accepted the technology. Significant positive correlations were found between these two constructs. The variables that predict usefulness were the gender, professional rank, EHR experience, and computer skills of the nurses. The perceived ease-of-use was affected by nursing and EHR experience, and computers skills. This study adds to the growing body of knowledge on issues related to the acceptance of technology in the health informatics field, focusing on nurses' acceptance of EHRs.

Using EHR audit trail logs to analyze clinical workflow: A case study from community-based ambulatory clinics.

PubMed

Wu, Danny T Y; Smart, Nikolas; Ciemins, Elizabeth L; Lanham, Holly J; Lindberg, Curt; Zheng, Kai

2017-01-01

To develop a workflow-supported clinical documentation system, it is a critical first step to understand clinical workflow. While Time and Motion studies has been regarded as the gold standard of workflow analysis, this method can be resource consuming and its data may be biased due to the cognitive limitation of human observers. In this study, we aimed to evaluate the feasibility and validity of using EHR audit trail logs to analyze clinical workflow. Specifically, we compared three known workflow changes from our previous study with the corresponding EHR audit trail logs of the study participants. The results showed that EHR audit trail logs can be a valid source for clinical workflow analysis, and can provide an objective view of clinicians' behaviors, multi-dimensional comparisons, and a highly extensible analysis framework.

Using OpenEHR in SICTI an electronic health record system for critical medicine

NASA Astrophysics Data System (ADS)

Filgueira, R.; Odriazola, A.; Simini, F.

2007-11-01

SICTI is a software tool for registering health records in critical medicine environments. Version 1.0 has been in use since 2003. The Biomedical Engineering Group (Núcleo de Ingeniería Biomédica), with support from the Technological Development Programme (Programa de Desarrollo Tecnológico), decided to develop a new version, to provide an aid for more critical medicine processes, based on a framework which would make the application domain change oriented. The team analyzed three alternatives: to develop an original product based on new research, to base the development on OpenEHR framework, or to use HL7 RIM as the reference model for SICTI. The team opted for OpenEHR. This work describes the use of OpenEHR, its strong and weak points, and states future work perspectives.

The Contextualization of Archetypes: Clinical Template Governance.

PubMed

Pedersen, Rune; Ulriksen, Gro-Hilde; Ellingsen, Gunnar

2015-01-01

This paper is a status report from a large-scale openEHR-based EPR project from the North Norway Regional Health Authority. It concerns the standardization of a regional ICT portfolio and the ongoing development of a new process oriented EPR systems encouraged by the unfolding of a national repository for openEHR archetypes. Subject of interest; the contextualization of clinical templates is governed over multiple national boundaries which is complex due to the dependency of clinical resources. From the outset of this, we are interested in how local, regional, and national organizers maneuver to standardize while applying OpenEHR technology.

Electronic health record use in an affluent region in India: Findings from a survey of Chandigarh hospitals.

PubMed

Powell, Adam C; Ludhar, Jasmine K; Ostrovsky, Yuri

2017-07-01

To characterize the electronic health record (EHR) systems in use in an affluent region of India in order to understand the state-of-the-art within the Indian market. A survey on EHR features was created by combining an instrument developed by the Organisation for International Cooperation and Development and an instrument developed by an American team of researchers. An interviewer directly administered the survey to leaders from hospitals in greater Chandigarh which possessed electronic health information systems. Summary statistics from the survey are reported. 24 hospitals offering multi-specialty inpatient care were identified in greater Chandigarh. 18 of these hospitals had electronic health information systems, 17 of which were interviewed. Of the hospitals with systems, 17 (100%) could access patient demographic information internally, but 12 (71%) could not access vital sign, allergy, or immunization data internally. 11 (65%) of the systems were capable of sharing patient summaries internally, but 13 (76%) could not send electronic referrals internally. Among organizations which have adopted systems, major barriers tend to have been around financial and staff matters. Concerns over interoperability, privacy, and security were infrequently cited as barriers to adoption. EHRs are ubiquitous in at least one region of India. Systems are more likely to have capabilities for intra-organizational information sharing than for inter-organizational information sharing. The availability of EHR data may foster clinical research. Copyright © 2017 Elsevier B.V. All rights reserved.

Technology Mediated Information Sharing (Monitor Sharing) in Primary Care Encounters

ERIC Educational Resources Information Center

Asan, Onur

2013-01-01

The aim of this dissertation study was to identify and describe the use of electronic health records (EHRs) for information sharing between patients and clinicians in primary-care encounters and to understand work system factors influencing information sharing. Ultimately, this will promote better design of EHR technologies and effective training…

Hospital Electronic Health Record Adoption and Its Influence on Postoperative Sepsis

ERIC Educational Resources Information Center

Fareed, Naleef

2013-01-01

Electronic Health Record (EHR) systems could make healthcare delivery safer by providing benefits such as timely access to accurate and complete patient information, advances in diagnosis and coordination of care, and enhancements for monitoring patient vitals. This study explored the nature of EHR adoption in U.S. hospitals and their patient…

The value of vendor-reported ambulatory EHR benefits data.

PubMed

Thompson, Douglas; Classen, David; Garrido, Terhilda; Bisordi, Joseph; Novogoratz, Scott; Zywiak, Walt

2007-04-01

Implementation of an electronic health record is expensive and labor-intensive. For this reason, providers often seek information about possible benefits to help them decide whether to implement an EHR. Our study found that a benefits database maintained by an ambulatory clinical systems vendor provided information that is useful, but that also has limitations.

Nurses' Perceptions of Nursing Care Documentation in the Electronic Health Record

ERIC Educational Resources Information Center

Jensen, Tracey A.

2013-01-01

Electronic health records (EHRs) will soon become the standard for documenting nursing care. The EHR holds the promise of rapid access to complete records of a patient's encounter with the healthcare system. It is the expectation that healthcare providers input essential data that communicates important patient information to support quality…

Impacts of EHR Certification and Meaningful Use Implementation on an Integrated Delivery Network.

PubMed

Bowes, Watson A

2014-01-01

Three years ago Intermountain Healthcare made the decision to participate in the Medicare and Medicaid Electronic Heath Record (EHR) Incentive Program which required that hospitals and providers use a certified EHR in a meaningful way. At that time, the barriers to enhance our home grown system, and change clinician workflows were numerous and large. This paper describes the time and effort required to enhance our legacy systems in order to pass certification, including filling 47 gaps in (EHR) functionality. We also describe the processes and resources that resulted in successful changes to many clinical workflows required by clinicians to meet meaningful use requirements. In 2011 we set meaningful use targets of 75% of employed physicians and 75% of our hospitals to meet Stage 1 of meaningful use by 2013. By the end of 2013, 87% of 696 employed eligible professionals and 100% of 22 Intermountain hospitals had successfully attested for Stage 1. This paper describes documented and perceived costs to Intermountain including time, effort, resources, postponement of other projects, as well as documented and perceived benefits of attainment of meaningful use.

Advances and current state of the security and privacy in electronic health records: survey from a social perspective.

PubMed

Tejero, Antonio; de la Torre, Isabel

2012-10-01

E-Health systems are experiencing an impulse in these last years, when many medical agencies began to include digital solutions into their platforms. Electronic Health Records (EHRs) are one of the most important improvements, being in its most part a patient-oriented tool. To achieve a completely operational EHR platform, security and privacy problems have to be resolved, due to the importance of the data included within these records. But given all the different methods to address security and privacy, they still remain in most cases as an open issue. This paper studies existing and proposed solutions included in different scenarios, in order to offer an overview of the current state in EHR systems. Bibliographic material has been obtained mainly from MEDLINE and SCOPUS sources, and over 30 publications have been analyzed. Many EHR platforms are being developed, but most of them present weaknesses when they are opened to the public. These architectures gain significance when they cover all the requisites related to security and privacy.

Using a generalised identity reference model with archetypes to support interoperability of demographics information in electronic health record systems.

PubMed

Xu Chen; Berry, Damon; Stephens, Gaye

2015-01-01

Computerised identity management is in general encountered as a low-level mechanism that enables users in a particular system or region to securely access resources. In the Electronic Health Record (EHR), the identifying information of both the healthcare professionals who access the EHR and the patients whose EHR is accessed, are subject to change. Demographics services have been developed to manage federated patient and healthcare professional identities and to support challenging healthcare-specific use cases in the presence of diverse and sometimes conflicting demographic identities. Demographics services are not the only use for identities in healthcare. Nevertheless, contemporary EHR specifications limit the types of entities that can be the actor or subject of a record to health professionals and patients, thus limiting the use of two level models in other healthcare information systems. Demographics are ubiquitous in healthcare, so for a general identity model to be usable, it should be capable of managing demographic information. In this paper, we introduce a generalised identity reference model (GIRM) based on key characteristics of five surveyed demographic models. We evaluate the GIRM by using it to express the EN13606 demographics model in an extensible way at the metadata level and show how two-level modelling can support the exchange of instances of demographic identities. This use of the GIRM to express demographics information shows its application for standards-compliant two-level modelling alongside heterogeneous demographics models. We advocate this approach to facilitate the interoperability of identities between two-level model-based EHR systems and show the validity and the extensibility of using GIRM for the expression of other health-related identities.

Assessing organizational capacity for achieving meaningful use of electronic health records.

PubMed

Shea, Christopher M; Malone, Robb; Weinberger, Morris; Reiter, Kristin L; Thornhill, Jonathan; Lord, Jennifer; Nguyen, Nicholas G; Weiner, Bryan J

2014-01-01

Health care institutions are scrambling to manage the complex organizational change required for achieving meaningful use (MU) of electronic health records (EHR). Assessing baseline organizational capacity for the change can be a useful step toward effective planning and resource allocation. The aim of this article is to describe an adaptable method and tool for assessing organizational capacity for achieving MU of EHR. Data on organizational capacity (people, processes, and technology resources) and barriers are presented from outpatient clinics within one integrated health care delivery system; thus, the focus is on MU requirements for eligible professionals, not eligible hospitals. We conducted 109 interviews with representatives from 46 outpatient clinics. Most clinics had core elements of the people domain of capacity in place. However, the process domain was problematic for many clinics, specifically, capturing problem lists as structured data and having standard processes for maintaining the problem list in the EHR. Also, nearly half of all clinics did not have methods for tracking compliance with their existing processes. Finally, most clinics maintained clinical information in multiple systems, not just the EHR. The most common perceived barriers to MU for eligible professionals included EHR functionality, changes to workflows, increased workload, and resistance to change. Organizational capacity assessments provide a broad institutional perspective and an in-depth clinic-level perspective useful for making resource decisions and tailoring strategies to support the MU change effort for eligible professionals.

[Views of health system administrators, professionals, and users concerning the electronic health record and facilitators and obstacles to its implementation].

PubMed

Costa, Jose Felipe Riani; Portela, Margareth Crisóstomo

2018-02-05

The design and deployment of complex technologies like the electronic health record (EHR) involve technical, personal, social, and organizational issues. The Brazilian public and private scenario includes different local and regional initiatives for implementation of the electronic health record. The Brazilian Ministry of Health also has a proposal to develop a national EHR. The current study aimed to provide a comprehensive view of perceptions by health system administrators, professionals, and users concerning their experiences with the electronic health record and their opinions of the possibility of developing a national EHR. This qualitative study involved 28 semi-structured interviews. The results revealed both the diversity of factors that can influence the implementation of an electronic health record and the existence of convergences and aspects that tend to be valued differently according to the different points of view. Key aspects include discussions on the electronic health record's attributes and it impact on healthcare, especially in the case of local electronic health records, concerns over costs and confidentiality and privacy pertaining to electronic health records in general, and the possible implications of centralized versus decentralized data storage in the case of a national EHR. The interviews clearly showed the need to establish more effective communication among the various stakeholders, and that the different perspectives should be considered when drafting and deploying an EHR at the local, regional, and national levels.

EHR Big Data Deep Phenotyping

PubMed Central

Lenert, L.; Lopez-Campos, G.

2014-01-01

Summary Objectives Given the quickening speed of discovery of variant disease drivers from combined patient genotype and phenotype data, the objective is to provide methodology using big data technology to support the definition of deep phenotypes in medical records. Methods As the vast stores of genomic information increase with next generation sequencing, the importance of deep phenotyping increases. The growth of genomic data and adoption of Electronic Health Records (EHR) in medicine provides a unique opportunity to integrate phenotype and genotype data into medical records. The method by which collections of clinical findings and other health related data are leveraged to form meaningful phenotypes is an active area of research. Longitudinal data stored in EHRs provide a wealth of information that can be used to construct phenotypes of patients. We focus on a practical problem around data integration for deep phenotype identification within EHR data. The use of big data approaches are described that enable scalable markup of EHR events that can be used for semantic and temporal similarity analysis to support the identification of phenotype and genotype relationships. Conclusions Stead and colleagues’ 2005 concept of using light standards to increase the productivity of software systems by riding on the wave of hardware/processing power is described as a harbinger for designing future healthcare systems. The big data solution, using flexible markup, provides a route to improved utilization of processing power for organizing patient records in genotype and phenotype research. PMID:25123744

Developing an acute-physical-examination template for a Tegional EHR system aimed at improving inexperienced physician's documentation.

PubMed

Lilholt, Lars; Haubro, Camilla Dremstrup; Møller, Jørn Munkhof; Aarøe, Jens; Højen, Anne Randorff; Gøeg, Kirstine Rosenbeck

2013-01-01

It is well-established that to increase acceptance of electronic clinical documentation tools, such as electronic health record (EHR) systems, it is important to have a strong relationship between those who document the clinical encounters and those who reaps the benefit of digitalized and more structured documentation. [1] Therefore, templates for EHR systems benefit from being closely related to clinical practice with a strong focus on primarily solving clinical problems. Clinical use as a driver for structured documentation has been the focus of the acute-physical-examination template (APET) development in the North Denmark Region. The template was developed through a participatory design where precision and clarity of documentation was prioritized as well as fast registration. The resulting template has approximately 700 easy accessible input possibilities and will be evaluated in clinical practice in the first quarter of 2013.

Communication challenges in complex medical environments.

PubMed

Lee, Jessica D; Hohler, Anna

2014-06-01

The provision of health care is becoming increasingly complex and can involve multiple providers and care setting transitions, particularly as the population is living longer, and often with chronic disease. The Electronic Health Record (EHR) was intended to provide a comprehensive documentation of a patient's health-related information; however, health care systems often function in isolation with EHRs that are unique only to that system. The EHR may also limit face-to-face communication between treating physicians within the same system. It is only with diligent effort that changes in medical management plans are conveyed among providers. When multiple providers are involved in a patient's care, physician-to-patient communication may also suffer, which can impact patient satisfaction and outcome. This article describes a scenario in which several lapses in communication occurred, and it outlines other common pitfalls while providing possible solutions for improving communication across the health care spectrum.

Utilization of open source electronic health record around the world: A systematic review

PubMed Central

Aminpour, Farzaneh; Sadoughi, Farahnaz; Ahamdi, Maryam

2014-01-01

Many projects on developing Electronic Health Record (EHR) systems have been carried out in many countries. The current study was conducted to review the published data on the utilization of open source EHR systems in different countries all over the world. Using free text and keyword search techniques, six bibliographic databases were searched for related articles. The identified papers were screened and reviewed during a string of stages for the irrelevancy and validity. The findings showed that open source EHRs have been wildly used by source limited regions in all continents, especially in Sub-Saharan Africa and South America. It would create opportunities to improve national healthcare level especially in developing countries with minimal financial resources. Open source technology is a solution to overcome the problems of high-costs and inflexibility associated with the proprietary health information systems. PMID:24672566

Italy’s Electronic Health Record System for Opioid Agonist Treatment

PubMed Central

Serpelloni, Giovanni; Gomma, Maurizio; Genetti, Bruno; Zermiani, Monica; Rimondo, Claudia; Mollica, Roberto; Gryczynski, Jan; O’Grady, Kevin E.; Schwartz, Robert P.

2013-01-01

Electronic health record systems (EHRs) play an increasingly important role in opioid agonist treatment. In Italy, an EHR called the Multi Functional Platform (MFP) is in use in 150 opioid-agonist treatment facilities in 8 of Italy’s 23 regions. This report describes MFP and presents 2010 data from 65 sites that treated 8,145 patients, of whom 72.3% were treated with methadone and 27.7% with buprenorphine. Patients treated with buprenorphine compared to methadone were more likely to be male (p < 0.01) and younger (p < 0.001). Methadone compared to buprenorphine patients had a higher percentage of opioid-positive urine tests (p < 0.001) and longer mean length of stay (p = 0.004). MFP has been implemented widely in Italy and has been able to track patient outcomes across treatment facilities. In the future, this EHR system can be used for performance improvement initiatives. PMID:23518287

From Prototype to Production: Lessons Learned from the Evolution of an EHR Educational Portal

PubMed Central

Borycki, Elizabeth M.; Armstrong, Brian; Kushniruk, Andre W.

2009-01-01

The use of electronic health records is rapidly increasing. However, the integration of this technology into the education of health professionals and health informaticians has largely remained to be explored. In this paper we describe an approach to providing remote access to electronic health records for use in health professional and health informatics education at the undergraduate and graduate levels. The University of Victoria EHR Educational Portal was designed by the authors to allow for remote Web-based access by students to a range of systems hosted on the portal. Architectural considerations and the evolution of the portal structure from prototype to production system are described. The paper also describes our initial applications of the approach in integrating EHRs into nursing, medical and health informatics educational programs. PMID:20351822

Evidence-based management of ambulatory electronic health record system implementation: an assessment of conceptual support and qualitative evidence.

PubMed

McAlearney, Ann Scheck; Hefner, Jennifer L; Sieck, Cynthia; Rizer, Milisa; Huerta, Timothy R

2014-07-01

While electronic health record (EHR) systems have potential to drive improvements in healthcare, a majority of EHR implementations fall short of expectations. Shortcomings in implementations are often due to organizational issues around the implementation process rather than technological problems. Evidence from both the information technology and healthcare management literature can be applied to improve the likelihood of implementation success, but the translation of this evidence into practice has not been widespread. Our objective was to comprehensively study and synthesize best practices for managing ambulatory EHR system implementation in healthcare organizations, highlighting applicable management theories and successful strategies. We held 45 interviews with key informants in six U.S. healthcare organizations purposively selected based on reported success with ambulatory EHR implementation. We also conducted six focus groups comprised of 37 physicians. Interview and focus group transcripts were analyzed using both deductive and inductive methods to answer research questions and explore emergent themes. We suggest that successful management of ambulatory EHR implementation can be guided by the Plan-Do-Study-Act (PDSA) quality improvement (QI) model. While participants did not acknowledge nor emphasize use of this model, we found evidence that successful implementation practices could be framed using the PDSA model. Additionally, successful sites had three strategies in common: 1) use of evidence from published health information technology (HIT) literature emphasizing implementation facilitators; 2) focusing on workflow; and 3) incorporating critical management factors that facilitate implementation. Organizations seeking to improve ambulatory EHR implementation processes can use frameworks such as the PDSA QI model to guide efforts and provide a means to formally accommodate new evidence over time. Implementing formal management strategies and incorporating new evidence through the PDSA model is a key element of evidence-based management and a crucial way for organizations to position themselves to proactively address implementation and use challenges before they are exacerbated. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Building a house on shifting sand: methodological considerations when evaluating the implementation and adoption of national electronic health record systems

PubMed Central

2012-01-01

Background A commitment to Electronic Health Record (EHR) systems now constitutes a core part of many governments’ healthcare reform strategies. The resulting politically-initiated large-scale or national EHR endeavors are challenging because of their ambitious agendas of change, the scale of resources needed to make them work, the (relatively) short timescales set, and the large number of stakeholders involved, all of whom pursue somewhat different interests. These initiatives need to be evaluated to establish if they improve care and represent value for money. Methods Critical reflections on these complexities in the light of experience of undertaking the first national, longitudinal, and sociotechnical evaluation of the implementation and adoption of England’s National Health Service’s Care Records Service (NHS CRS). Results/discussion We advance two key arguments. First, national programs for EHR implementations are likely to take place in the shifting sands of evolving sociopolitical and sociotechnical and contexts, which are likely to shape them in significant ways. This poses challenges to conventional evaluation approaches which draw on a model of baseline operations → intervention → changed operations (outcome). Second, evaluation of such programs must account for this changing context by adapting to it. This requires careful and creative choice of ontological, epistemological and methodological assumptions. Summary New and significant challenges are faced in evaluating national EHR implementation endeavors. Based on experiences from this national evaluation of the implementation and adoption of the NHS CRS in England, we argue for an approach to these evaluations which moves away from seeing EHR systems as Information and Communication Technologies (ICT) projects requiring an essentially outcome-centred assessment towards a more interpretive approach that reflects the situated and evolving nature of EHR seen within multiple specific settings and reflecting a constantly changing milieu of policies, strategies and software, with constant interactions across such boundaries. PMID:22545646

Building a house on shifting sand: methodological considerations when evaluating the implementation and adoption of national electronic health record systems.

PubMed

Takian, Amirhossein; Petrakaki, Dimitra; Cornford, Tony; Sheikh, Aziz; Barber, Nicholas

2012-04-30

A commitment to Electronic Health Record (EHR) systems now constitutes a core part of many governments' healthcare reform strategies. The resulting politically-initiated large-scale or national EHR endeavors are challenging because of their ambitious agendas of change, the scale of resources needed to make them work, the (relatively) short timescales set, and the large number of stakeholders involved, all of whom pursue somewhat different interests. These initiatives need to be evaluated to establish if they improve care and represent value for money. Critical reflections on these complexities in the light of experience of undertaking the first national, longitudinal, and sociotechnical evaluation of the implementation and adoption of England's National Health Service's Care Records Service (NHS CRS). We advance two key arguments. First, national programs for EHR implementations are likely to take place in the shifting sands of evolving sociopolitical and sociotechnical and contexts, which are likely to shape them in significant ways. This poses challenges to conventional evaluation approaches which draw on a model of baseline operations → intervention → changed operations (outcome). Second, evaluation of such programs must account for this changing context by adapting to it. This requires careful and creative choice of ontological, epistemological and methodological assumptions. New and significant challenges are faced in evaluating national EHR implementation endeavors. Based on experiences from this national evaluation of the implementation and adoption of the NHS CRS in England, we argue for an approach to these evaluations which moves away from seeing EHR systems as Information and Communication Technologies (ICT) projects requiring an essentially outcome-centred assessment towards a more interpretive approach that reflects the situated and evolving nature of EHR seen within multiple specific settings and reflecting a constantly changing milieu of policies, strategies and software, with constant interactions across such boundaries.

The Electronic Health Record Objective Structured Clinical Examination: Assessing Student Competency in Patient Interactions While Using the Electronic Health Record.

PubMed

Biagioli, Frances E; Elliot, Diane L; Palmer, Ryan T; Graichen, Carla C; Rdesinski, Rebecca E; Ashok Kumar, Kaparaboyna; Galper, Ari B; Tysinger, James W

2017-01-01

Because many medical students do not have access to electronic health records (EHRs) in the clinical environment, simulated EHR training is necessary. Explicitly training medical students to use EHRs appropriately during patient encounters equips them to engage patients while also attending to the accuracy of the record and contributing to a culture of information safety. Faculty developed and successfully implemented an EHR objective structured clinical examination (EHR-OSCE) for clerkship students at two institutions. The EHR-OSCE objectives include assessing EHR-related communication and data management skills. The authors collected performance data for students (n = 71) at the first institution during academic years 2011-2013 and for students (n = 211) at the second institution during academic year 2013-2014. EHR-OSCE assessment checklist scores showed that students performed well in EHR-related communication tasks, such as maintaining eye contact and stopping all computer work when the patient expresses worry. Findings indicated student EHR skill deficiencies in the areas of EHR data management including medical history review, medication reconciliation, and allergy reconciliation. Most students' EHR skills failed to improve as the year progressed, suggesting that they did not gain the EHR training and experience they need in clinics and hospitals. Cross-institutional data comparisons will help determine whether differences in curricula affect students' EHR skills. National and institutional policies and faculty development are needed to ensure that students receive adequate EHR education, including hands-on experience in the clinic as well as simulated EHR practice.

Contingency planning for electronic health record-based care continuity: a survey of recommended practices.

PubMed

Sittig, Dean F; Gonzalez, Daniel; Singh, Hardeep

2014-11-01

Reliable health information technology (HIT) in general, and electronic health record systems (EHRs) in particular are essential to a high-performing healthcare system. When the availability of EHRs are disrupted, alternative methods must be used to maintain the continuity of healthcare. We developed a survey to assess institutional practices to handle situations when EHRs were unavailable for use (downtime preparedness). We used literature reviews and expert opinion to develop items that assessed the implementation of potentially useful practices. We administered the survey to U.S.-based healthcare institutions that were members of a professional organization that focused on collaboration and sharing of HIT-related best practices among its members. All members were large integrated health systems. We received responses from 50 of the 59 (84%) member institutions. Nearly all (96%) institutions reported at least one unplanned downtime (of any length) in the last 3 years and 70% had at least one unplanned downtime greater than 8h in the last 3 years. Three institutions reported that one or more patients were injured as a result of either a planned or unplanned downtime. The majority of institutions (70-85%) had implemented a portion of the useful practices we identified, but very few practices were followed by all organizations. Unexpected downtimes related to EHRs appear to be fairly common among institutions in our survey. Most institutions had only partially implemented comprehensive contingency plans to maintain safe and effective healthcare during unexpected EHRs downtimes. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints

PubMed Central

Li, Yan; Bai, Changxin; Reddy, Chandan K.

2015-01-01

In recent years, electronic health records (EHRs) have been widely adapted at many healthcare facilities in an attempt to improve the quality of patient care and increase the productivity and efficiency of healthcare delivery. These EHRs can accurately diagnose diseases if utilized appropriately. While the EHRs can potentially resolve many of the existing problems associated with disease diagnosis, one of the main obstacles in effectively using them is the patient privacy and sensitivity of the medical information available in the EHR. Due to these concerns, even if the EHRs are available for storage and retrieval purposes, sharing of the patient records between different healthcare facilities has become a major concern and has hampered some of the effective advantages of using EHRs. Due to this lack of data sharing, most of the facilities aim at building clinical decision support systems using limited amount of patient data from their own EHR systems to provide important diagnosis related decisions. It becomes quite infeasible for a newly established healthcare facility to build a robust decision making system due to the lack of sufficient patient records. However, to make effective decisions from clinical data, it is indispensable to have large amounts of data to train the decision models. In this regard, there are conflicting objectives of preserving patient privacy and having sufficient data for modeling and decision making. To handle such disparate goals, we develop two adaptive distributed privacy-preserving algorithms based on a distributed ensemble strategy. The basic idea of our approach is to build an elegant model for each participating facility to accurately learn the data distribution, and then can transfer the useful healthcare knowledge acquired on their data from these participators in the form of their own decision models without revealing and sharing the patient-level sensitive data, thus protecting patient privacy. We demonstrate that our approach can successfully build accurate and robust prediction models, under privacy constraints, using the healthcare data collected from different geographical locations. We demonstrate the performance of our method using the Type-2 diabetes EHRs accumulated from multiple sources from all fifty states in the U.S. Our method was evaluated on diagnosing diabetes in the presence of insufficient number of patient records from certain regions without revealing the actual patient data from other regions. Using the proposed approach, we also discovered the important biomarkers, both universal and region-specific, and validated the selected biomarkers using the biomedical literature. PMID:26681811

A Distributed Ensemble Approach for Mining Healthcare Data under Privacy Constraints.

PubMed

Li, Yan; Bai, Changxin; Reddy, Chandan K

2016-02-10

In recent years, electronic health records (EHRs) have been widely adapted at many healthcare facilities in an attempt to improve the quality of patient care and increase the productivity and efficiency of healthcare delivery. These EHRs can accurately diagnose diseases if utilized appropriately. While the EHRs can potentially resolve many of the existing problems associated with disease diagnosis, one of the main obstacles in effectively using them is the patient privacy and sensitivity of the medical information available in the EHR. Due to these concerns, even if the EHRs are available for storage and retrieval purposes, sharing of the patient records between different healthcare facilities has become a major concern and has hampered some of the effective advantages of using EHRs. Due to this lack of data sharing, most of the facilities aim at building clinical decision support systems using limited amount of patient data from their own EHR systems to provide important diagnosis related decisions. It becomes quite infeasible for a newly established healthcare facility to build a robust decision making system due to the lack of sufficient patient records. However, to make effective decisions from clinical data, it is indispensable to have large amounts of data to train the decision models. In this regard, there are conflicting objectives of preserving patient privacy and having sufficient data for modeling and decision making. To handle such disparate goals, we develop two adaptive distributed privacy-preserving algorithms based on a distributed ensemble strategy. The basic idea of our approach is to build an elegant model for each participating facility to accurately learn the data distribution, and then can transfer the useful healthcare knowledge acquired on their data from these participators in the form of their own decision models without revealing and sharing the patient-level sensitive data, thus protecting patient privacy. We demonstrate that our approach can successfully build accurate and robust prediction models, under privacy constraints, using the healthcare data collected from different geographical locations. We demonstrate the performance of our method using the Type-2 diabetes EHRs accumulated from multiple sources from all fifty states in the U.S. Our method was evaluated on diagnosing diabetes in the presence of insufficient number of patient records from certain regions without revealing the actual patient data from other regions. Using the proposed approach, we also discovered the important biomarkers, both universal and region-specific, and validated the selected biomarkers using the biomedical literature.

Evaluation of software maintain ability with open EHR - a comparison of architectures.

PubMed

Atalag, Koray; Yang, Hong Yul; Tempero, Ewan; Warren, James R

2014-11-01

To assess whether it is easier to maintain a clinical information system developed using open EHR model driven development versus mainstream methods. A new open source application (GastrOS) has been developed following open EHR's multi-level modelling approach using .Net/C# based on the same requirements of an existing clinically used application developed using Microsoft Visual Basic and Access database. Almost all the domain knowledge was embedded into the software code and data model in the latter. The same domain knowledge has been expressed as a set of open EHR Archetypes in GastrOS. We then introduced eight real-world change requests that had accumulated during live clinical usage, and implemented these in both systems while measuring time for various development tasks and change in software size for each change request. Overall it took half the time to implement changes in GastrOS. However it was the more difficult application to modify for one change request, suggesting the nature of change is also important. It was not possible to implement changes by modelling only. Comparison of relative measures of time and software size change within each application highlights how architectural differences affected maintain ability across change requests. The use of open EHR model driven development can result in better software maintain ability. The degree to which open EHR affects software maintain ability depends on the extent and nature of domain knowledge involved in changes. Although we used relative measures for time and software size, confounding factors could not be totally excluded as a controlled study design was not feasible. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Using geographic information systems (GIS) to identify communities in need of health insurance outreach: An OCHIN practice-based research network (PBRN) report.

PubMed

Angier, Heather; Likumahuwa, Sonja; Finnegan, Sean; Vakarcs, Trisha; Nelson, Christine; Bazemore, Andrew; Carrozza, Mark; DeVoe, Jennifer E

2014-01-01

Our practice-based research network (PBRN) is conducting an outreach intervention to increase health insurance coverage for patients seen in the network. To assist with outreach site selection, we sought an understandable way to use electronic health record (EHR) data to locate uninsured patients. Health insurance information was displayed within a web-based mapping platform to demonstrate the feasibility of using geographic information systems (GIS) to visualize EHR data. This study used EHR data from 52 clinics in the OCHIN PBRN. We included cross-sectional coverage data for patients aged 0 to 64 years with at least 1 visit to a study clinic during 2011 (n = 228,284). Our PBRN was successful in using GIS to identify intervention sites. Through use of the maps, we found geographic variation in insurance rates of patients seeking care in OCHIN PBRN clinics. Insurance rates also varied by age: The percentage of adults without insurance ranged from 13.2% to 86.8%; rates of children lacking insurance ranged from 1.1% to 71.7%. GIS also showed some areas of households with median incomes that had low insurance rates. EHR data can be imported into a web-based GIS mapping tool to visualize patient information. Using EHR data, we were able to observe smaller areas than could be seen using only publicly available data. Using this information, we identified appropriate OCHIN PBRN clinics for dissemination of an EHR-based insurance outreach intervention. GIS could also be used by clinics to visualize other patient-level characteristics to target clinic outreach efforts or interventions. © Copyright 2014 by the American Board of Family Medicine.

Generation of openEHR Test Datasets for Benchmarking.

PubMed

El Helou, Samar; Karvonen, Tuukka; Yamamoto, Goshiro; Kume, Naoto; Kobayashi, Shinji; Kondo, Eiji; Hiragi, Shusuke; Okamoto, Kazuya; Tamura, Hiroshi; Kuroda, Tomohiro

2017-01-01

openEHR is a widely used EHR specification. Given its technology-independent nature, different approaches for implementing openEHR data repositories exist. Public openEHR datasets are needed to conduct benchmark analyses over different implementations. To address their current unavailability, we propose a method for generating openEHR test datasets that can be publicly shared and used.

An Infinite Mixture Model for Coreference Resolution in Clinical Notes

PubMed Central

Liu, Sijia; Liu, Hongfang; Chaudhary, Vipin; Li, Dingcheng

2016-01-01

It is widely acknowledged that natural language processing is indispensable to process electronic health records (EHRs). However, poor performance in relation detection tasks, such as coreference (linguistic expressions pertaining to the same entity/event) may affect the quality of EHR processing. Hence, there is a critical need to advance the research for relation detection from EHRs. Most of the clinical coreference resolution systems are based on either supervised machine learning or rule-based methods. The need for manually annotated corpus hampers the use of such system in large scale. In this paper, we present an infinite mixture model method using definite sampling to resolve coreferent relations among mentions in clinical notes. A similarity measure function is proposed to determine the coreferent relations. Our system achieved a 0.847 F-measure for i2b2 2011 coreference corpus. This promising results and the unsupervised nature make it possible to apply the system in big-data clinical setting. PMID:27595047

The Knowledge Program: an Innovative, Comprehensive Electronic Data Capture System and Warehouse

PubMed Central

Katzan, Irene; Speck, Micheal; Dopler, Chris; Urchek, John; Bielawski, Kay; Dunphy, Cheryl; Jehi, Lara; Bae, Charles; Parchman, Alandra

2011-01-01

Data contained in the electronic health record (EHR) present a tremendous opportunity to improve quality-of-care and enhance research capabilities. However, the EHR is not structured to provide data for such purposes: most clinical information is entered as free text and content varies substantially between providers. Discrete information on patients’ functional status is typically not collected. Data extraction tools are often unavailable. We have developed the Knowledge Program (KP), a comprehensive initiative to improve the collection of discrete clinical information into the EHR and the retrievability of data for use in research, quality, and patient care. A distinct feature of the KP is the systematic collection of patient-reported outcomes, which is captured discretely, allowing more refined analyses of care outcomes. The KP capitalizes on features of the Epic EHR and utilizes an external IT infrastructure distinct from Epic for enhanced functionality. Here, we describe the development and implementation of the KP. PMID:22195124

Using a medical simulation center as an electronic health record usability laboratory

PubMed Central

Landman, Adam B; Redden, Lisa; Neri, Pamela; Poole, Stephen; Horsky, Jan; Raja, Ali S; Pozner, Charles N; Schiff, Gordon; Poon, Eric G

2014-01-01

Usability testing is increasingly being recognized as a way to increase the usability and safety of health information technology (HIT). Medical simulation centers can serve as testing environments for HIT usability studies. We integrated the quality assurance version of our emergency department (ED) electronic health record (EHR) into our medical simulation center and piloted a clinical care scenario in which emergency medicine resident physicians evaluated a simulated ED patient and documented electronically using the ED EHR. Meticulous planning and close collaboration with expert simulation staff was important for designing test scenarios, pilot testing, and running the sessions. Similarly, working with information systems teams was important for integration of the EHR. Electronic tools are needed to facilitate entry of fictitious clinical results while the simulation scenario is unfolding. EHRs can be successfully integrated into existing simulation centers, which may provide realistic environments for usability testing, training, and evaluation of human–computer interactions. PMID:24249778

The Challenges of Electronic Health Records and Diabetes Electronic Prescribing: Implications for Safety Net Care for Diverse Populations

PubMed Central

Chan, Lenny L. S.; Fouts, Michelle M.; Murphy, Elizabeth J.

2017-01-01

Widespread electronic health record (EHR) implementation creates new challenges in the diabetes care of complex and diverse populations, including safe medication prescribing for patients with limited health literacy and limited English proficiency. This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, we present evidence for (1) the adoption of RxNorm; (2) standardized naming and picklist options for high alert medications such as insulin; (3) the widespread implementation of universal medication schedule and language-concordant labels, with the expansion of electronic prescription 140-character limit; (4) enhanced bidirectional communication with pharmacy partners; and (5) informatics and implementation research in safety net healthcare systems to examine how EHR tools and practices affect diverse vulnerable populations. PMID:28197420

The Challenges of Electronic Health Records and Diabetes Electronic Prescribing: Implications for Safety Net Care for Diverse Populations.

PubMed

Ratanawongsa, Neda; Chan, Lenny L S; Fouts, Michelle M; Murphy, Elizabeth J

2017-01-01

Widespread electronic health record (EHR) implementation creates new challenges in the diabetes care of complex and diverse populations, including safe medication prescribing for patients with limited health literacy and limited English proficiency. This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, we present evidence for (1) the adoption of RxNorm; (2) standardized naming and picklist options for high alert medications such as insulin; (3) the widespread implementation of universal medication schedule and language-concordant labels, with the expansion of electronic prescription 140-character limit; (4) enhanced bidirectional communication with pharmacy partners; and (5) informatics and implementation research in safety net healthcare systems to examine how EHR tools and practices affect diverse vulnerable populations.

A Correlational Analysis: Electronic Health Records (EHR) and Quality of Care in Critical Access Hospitals

ERIC Educational Resources Information Center

Khan, Arshia A.

2012-01-01

Driven by the compulsion to improve the evident paucity in quality of care, especially in critical access hospitals in the United States, policy makers, healthcare providers, and administrators have taken the advise of researchers suggesting the integration of technology in healthcare. The Electronic Health Record (EHR) System composed of multiple…

Developing Health Information Technology (HIT) Programs and HIT Curriculum: The Southern Polytechnic State University Experience

ERIC Educational Resources Information Center

Zhang, Chi; Reichgelt, Han; Rutherfoord, Rebecca H.; Wang, Andy Ju An

2014-01-01

Health Information Technology (HIT) professionals are in increasing demand as healthcare providers need help in the adoption and meaningful use of Electronic Health Record (EHR) systems while the HIT industry needs workforce skilled in HIT and EHR development. To respond to this increasing demand, the School of Computing and Software Engineering…

Integrating cancer genomic data into electronic health records.

PubMed

Warner, Jeremy L; Jain, Sandeep K; Levy, Mia A

2016-10-26

The rise of genomically targeted therapies and immunotherapy has revolutionized the practice of oncology in the last 10-15 years. At the same time, new technologies and the electronic health record (EHR) in particular have permeated the oncology clinic. Initially designed as billing and clinical documentation systems, EHR systems have not anticipated the complexity and variety of genomic information that needs to be reviewed, interpreted, and acted upon on a daily basis. Improved integration of cancer genomic data with EHR systems will help guide clinician decision making, support secondary uses, and ultimately improve patient care within oncology clinics. Some of the key factors relating to the challenge of integrating cancer genomic data into EHRs include: the bioinformatics pipelines that translate raw genomic data into meaningful, actionable results; the role of human curation in the interpretation of variant calls; and the need for consistent standards with regard to genomic and clinical data. Several emerging paradigms for integration are discussed in this review, including: non-standardized efforts between individual institutions and genomic testing laboratories; "middleware" products that portray genomic information, albeit outside of the clinical workflow; and application programming interfaces that have the potential to work within clinical workflow. The critical need for clinical-genomic knowledge bases, which can be independent or integrated into the aforementioned solutions, is also discussed.

An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies

PubMed Central

Yuksel, Mustafa; Gonul, Suat; Laleci Erturkmen, Gokce Banu; Sinaci, Ali Anil; Invernizzi, Paolo; Facchinetti, Sara; Migliavacca, Andrea; Bergvall, Tomas; Depraetere, Kristof; De Roo, Jos

2016-01-01

Depending mostly on voluntarily sent spontaneous reports, pharmacovigilance studies are hampered by low quantity and quality of patient data. Our objective is to improve postmarket safety studies by enabling safety analysts to seamlessly access a wide range of EHR sources for collecting deidentified medical data sets of selected patient populations and tracing the reported incidents back to original EHRs. We have developed an ontological framework where EHR sources and target clinical research systems can continue using their own local data models, interfaces, and terminology systems, while structural interoperability and Semantic Interoperability are handled through rule-based reasoning on formal representations of different models and terminology systems maintained in the SALUS Semantic Resource Set. SALUS Common Information Model at the core of this set acts as the common mediator. We demonstrate the capabilities of our framework through one of the SALUS safety analysis tools, namely, the Case Series Characterization Tool, which have been deployed on top of regional EHR Data Warehouse of the Lombardy Region containing about 1 billion records from 16 million patients and validated by several pharmacovigilance researchers with real-life cases. The results confirm significant improvements in signal detection and evaluation compared to traditional methods with the missing background information. PMID:27123451

Understanding differences in electronic health record (EHR) use: linking individual physicians' perceptions of uncertainty and EHR use patterns in ambulatory care.

PubMed

Lanham, Holly Jordan; Sittig, Dean F; Leykum, Luci K; Parchman, Michael L; Pugh, Jacqueline A; McDaniel, Reuben R

2014-01-01

Electronic health records (EHR) hold great promise for managing patient information in ways that improve healthcare delivery. Physicians differ, however, in their use of this health information technology (IT), and these differences are not well understood. The authors study the differences in individual physicians' EHR use patterns and identify perceptions of uncertainty as an important new variable in understanding EHR use. Qualitative study using semi-structured interviews and direct observation of physicians (n=28) working in a multispecialty outpatient care organization. We identified physicians' perceptions of uncertainty as an important variable in understanding differences in EHR use patterns. Drawing on theories from the medical and organizational literatures, we identified three categories of perceptions of uncertainty: reduction, absorption, and hybrid. We used an existing model of EHR use to categorize physician EHR use patterns as high, medium, and low based on degree of feature use, level of EHR-enabled communication, and frequency that EHR use patterns change. Physicians' perceptions of uncertainty were distinctly associated with their EHR use patterns. Uncertainty reductionists tended to exhibit high levels of EHR use, uncertainty absorbers tended to exhibit low levels of EHR use, and physicians demonstrating both perspectives of uncertainty (hybrids) tended to exhibit medium levels of EHR use. We find evidence linking physicians' perceptions of uncertainty with EHR use patterns. Study findings have implications for health IT research, practice, and policy, particularly in terms of impacting health IT design and implementation efforts in ways that consider differences in physicians' perceptions of uncertainty.

Healthcare information technology infrastructures in Turkey.

PubMed

Dogac, A; Yuksel, M; Ertürkmen, G L; Kabak, Y; Namli, T; Yıldız, M H; Ay, Y; Ceyhan, B; Hülür, U; Oztürk, H; Atbakan, E

2014-05-22

The objective of this paper is to describe some of the major healthcare information technology (IT) infrastructures in Turkey, namely, Sağlık-Net (Turkish for "Health-Net"), the Centralized Hospital Appointment System, the Basic Health Statistics Module, the Core Resources Management System, and the e-prescription system of the Social Security Institution. International collaboration projects that are integrated with Sağlık-Net are also briefly summarized. The authors provide a survey of the some of the major healthcare IT infrastructures in Turkey. Sağlık-Net has two main components: the National Health Information System (NHIS) and the Family Medicine Information System (FMIS). The NHIS is a nation-wide infrastructure for sharing patients' Electronic Health Records (EHRs). So far, EHRs of 78.9 million people have been created in the NHIS. Similarly, family medicine is operational in the whole country via FMIS. Centralized Hospital Appointment System enables the citizens to easily make appointments in healthcare providers. Basic Health Statistics Module is used for collecting information about the health status, risks and indicators across the country. Core Resources Management System speeds up the flow of information between the headquarters and Provincial Health Directorates. The e-prescription system is linked with Sağlık-Net and seamlessly integrated with the healthcare provider information systems. Finally, Turkey is involved in several international projects for experience sharing and disseminating national developments. With the introduction of the "Health Transformation Program" in 2003, a number of successful healthcare IT infrastructures have been developed in Turkey. Currently, work is going on to enhance and further improve their functionality.

Electronic health records improve clinical note quality.

PubMed

Burke, Harry B; Sessums, Laura L; Hoang, Albert; Becher, Dorothy A; Fontelo, Paul; Liu, Fang; Stephens, Mark; Pangaro, Louis N; O'Malley, Patrick G; Baxi, Nancy S; Bunt, Christopher W; Capaldi, Vincent F; Chen, Julie M; Cooper, Barbara A; Djuric, David A; Hodge, Joshua A; Kane, Shawn; Magee, Charles; Makary, Zizette R; Mallory, Renee M; Miller, Thomas; Saperstein, Adam; Servey, Jessica; Gimbel, Ronald W

2015-01-01

The clinical note documents the clinician's information collection, problem assessment, clinical management, and its used for administrative purposes. Electronic health records (EHRs) are being implemented in clinical practices throughout the USA yet it is not known whether they improve the quality of clinical notes. The goal in this study was to determine if EHRs improve the quality of outpatient clinical notes. A five and a half year longitudinal retrospective multicenter quantitative study comparing the quality of handwritten and electronic outpatient clinical visit notes for 100 patients with type 2 diabetes at three time points: 6 months prior to the introduction of the EHR (before-EHR), 6 months after the introduction of the EHR (after-EHR), and 5 years after the introduction of the EHR (5-year-EHR). QNOTE, a validated quantitative instrument, was used to assess the quality of outpatient clinical notes. Its scores can range from a low of 0 to a high of 100. Sixteen primary care physicians with active practices used QNOTE to determine the quality of the 300 patient notes. The before-EHR, after-EHR, and 5-year-EHR grand mean scores (SD) were 52.0 (18.4), 61.2 (16.3), and 80.4 (8.9), respectively, and the change in scores for before-EHR to after-EHR and before-EHR to 5-year-EHR were 18% (p<0.0001) and 55% (p<0.0001), respectively. All the element and grand mean quality scores significantly improved over the 5-year time interval. The EHR significantly improved the overall quality of the outpatient clinical note and the quality of all its elements, including the core and non-core elements. To our knowledge, this is the first study to demonstrate that the EHR significantly improves the quality of clinical notes. © The Author 2014. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Innovative uses of electronic health records and social media for public health surveillance.

PubMed

Eggleston, Emma M; Weitzman, Elissa R

2014-03-01

Electronic health records (EHRs) and social media have the potential to enrich public health surveillance of diabetes. Clinical and patient-facing data sources for diabetes surveillance are needed given its profound public health impact, opportunity for primary and secondary prevention, persistent disparities, and requirement for self-management. Initiatives to employ data from EHRs and social media for diabetes surveillance are in their infancy. With their transformative potential come practical limitations and ethical considerations. We explore applications of EHR and social media for diabetes surveillance, limitations to approaches, and steps for moving forward in this partnership between patients, health systems, and public health.

Reflections on the role of open source in health information system interoperability.

PubMed

Sfakianakis, S; Chronaki, C E; Chiarugi, F; Conforti, F; Katehakis, D G

2007-01-01

This paper reflects on the role of open source in health information system interoperability. Open source is a driving force in computer science research and the development of information systems. It facilitates the sharing of information and ideas, enables evolutionary development and open collaborative testing of code, and broadens the adoption of interoperability standards. In health care, information systems have been developed largely ad hoc following proprietary specifications and customized design. However, the wide deployment of integrated services such as Electronic Health Records (EHRs) over regional health information networks (RHINs) relies on interoperability of the underlying information systems and medical devices. This reflection is built on the experiences of the PICNIC project that developed shared software infrastructure components in open source for RHINs and the OpenECG network that offers open source components to lower the implementation cost of interoperability standards such as SCP-ECG, in electrocardiography. Open source components implementing standards and a community providing feedback from real-world use are key enablers of health care information system interoperability. Investing in open source is investing in interoperability and a vital aspect of a long term strategy towards comprehensive health services and clinical research.

Aspects of the Patient-centered Medical Home currently in place: initial findings from preparing the personal physician for practice.

PubMed

Carney, Patricia A; Eiff, M Patrice; Saultz, John W; Douglass, Alan B; Tillotson, Carrie J; Crane, Steven D; Jones, Samuel M; Green, Larry A

2009-10-01

The Patient-centered Medical Home (PCMH) is a central concept in the evolving debate about American health care reform. We studied family medicine residency training programs' continuity clinics to assess baseline status of implementing PCMH components and to compare implementation status between community-based and university training programs. We conducted a survey 24 continuity clinics in 14 residency programs that are part of the Preparing the Personal Physicians for Practice (P(4)) program. We asked questions about aspects of P(4) that had been already implemented at the beginning of the P(4) program. We defined high implementation as aspects that were present in >50% of clinics and low implementation as those present in <50% of clinics. We compared features at university-based and community-based clinics. High areas of implementation were having an electronic health record (EHR), fully secured remote access, electronic patient notes/scheduling/billing, chronic disease management registries, and open-access scheduling. Low areas of implementation included hospital EHR with computerized physician order entry, asynchronous communication with patients, ongoing population-based QA using EHR, use of preventive registries, and practice-based research using EHR. Few differences were noted between university- and community-based residency programs. Many features of the PCMH were already established at baseline in programs participating in P(4).

Lessons from a Successful Implementation of a Computerized Provider Order Entry System

PubMed Central

Jacobs, Brian R.; Hallstrom, Craig K.; Hart, Kim Ward; Mahoney, Daniela; Lykowski, Gayle

2007-01-01

OBJECTIVES The electronic health record (EHR) can improve patient safety, care efficiency, cost effectiveness and regulatory compliance. Cincinnati Children's Hospital Medical Center (CCHMC) has successfully implemented an Integrating Clinical Information System (ICIS) that includes Computerized Provider Order Entry (CPOE). This review describes some of the unanticipated challenges and solutions identified during the implementation of ICIS. METHODS Data for this paper was derived from user-generated feedback within the ICIS. Feedback reports were reviewed and placed into categories based on root cause of the issue. Recurring issues or problems which led to potential or actual patient injury are included. RESULTS Nine distinct challenges were identified: 1) Deterioration in communication; 2) Excessive system alerts to users; 3) Unrecognized discontinuation of medications; 4) Unintended loss of orders; 5) Loss of orders during implementation; 6) Amplification of errors; 7) Unintentional generation of patient care orders by system analysts; 8) Persistence of specific patient care order instructions; 9) Verbal orders entered under the incorrect clinician. CONCLUSIONS Unanticipated challenges are expected when implementing EHRs. The implementation plan for any EHR should include methods to identify, evaluate and repair problems quickly. While continued challenges with this complex system are expected, we believe that the EHR will continue to facilitate improved patient care and safety. The lessons learned at CCHMC will permit other institutions to avoid some of these challenges and design robust processes to detect and respond to problems in a timely fashion to ensure implementation success. PMID:23055847

Barriers to Electronic Health Record Adoption: a Systematic Literature Review.

PubMed

Kruse, Clemens Scott; Kristof, Caitlin; Jones, Beau; Mitchell, Erica; Martinez, Angelica

2016-12-01

Federal efforts and local initiatives to increase adoption and use of electronic health records (EHRs) continue, particularly since the enactment of the Health Information Technology for Economic and Clinical Health (HITECH) Act. Roughly one in four hospitals not adopted even a basic EHR system. A review of the barriers may help in understanding the factors deterring certain healthcare organizations from implementation. We wanted to assemble an updated and comprehensive list of adoption barriers of EHR systems in the United States. Authors searched CINAHL, MEDLINE, and Google Scholar, and accepted only articles relevant to our primary objective. Reviewers independently assessed the works highlighted by our search and selected several for review. Through multiple consensus meetings, authors tapered articles to a final selection most germane to the topic (n = 27). Each article was thoroughly examined by multiple authors in order to achieve greater validity. Authors identified 39 barriers to EHR adoption within the literature selected for the review. These barriers appeared 125 times in the literature; the most frequently mentioned barriers were regarding cost, technical concerns, technical support, and resistance to change. Despite federal and local incentives, the initial cost of adopting an EHR is a common existing barrier. The other most commonly mentioned barriers include technical support, technical concerns, and maintenance/ongoing costs. Policy makers should consider incentives that continue to reduce implementation cost, possibly aimed more directly at organizations that are known to have lower adoption rates, such as small hospitals in rural areas.

Agile Model Driven Development of Electronic Health Record-Based Specialty Population Registries.

PubMed

Kannan, Vaishnavi; Fish, Jason C; Willett, DuWayne L

2016-02-01

The transformation of the American healthcare payment system from fee-for-service to value-based care increasingly makes it valuable to develop patient registries for specialized populations, to better assess healthcare quality and costs. Recent widespread adoption of Electronic Health Records (EHRs) in the U.S. now makes possible construction of EHR-based specialty registry data collection tools and reports, previously unfeasible using manual chart abstraction. But the complexities of specialty registry EHR tools and measures, along with the variety of stakeholders involved, can result in misunderstood requirements and frequent product change requests, as users first experience the tools in their actual clinical workflows. Such requirements churn could easily stall progress in specialty registry rollout. Modeling a system's requirements and solution design can be a powerful way to remove ambiguities, facilitate shared understanding, and help evolve a design to meet newly-discovered needs. "Agile Modeling" retains these values while avoiding excessive unused up-front modeling in favor of iterative incremental modeling. Using Agile Modeling principles and practices, in calendar year 2015 one institution developed 58 EHR-based specialty registries, with 111 new data collection tools, supporting 134 clinical process and outcome measures, and enrolling over 16,000 patients. The subset of UML and non-UML models found most consistently useful in designing, building, and iteratively evolving EHR-based specialty registries included User Stories, Domain Models, Use Case Diagrams, Decision Trees, Graphical User Interface Storyboards, Use Case text descriptions, and Solution Class Diagrams.

Electronic workflow for imaging in clinical research.

PubMed

Hedges, Rebecca A; Goodman, Danielle; Sachs, Peter B

2014-08-01

In the transition from paper to electronic workflow, the University of Colorado Health System's implementation of a new electronic health record system (EHR) forced all clinical groups to reevaluate their practices including the infrastructure surrounding clinical trials. Radiological imaging is an important piece of many clinical trials and requires a high level of consistency and standardization. With EHR implementation, paper orders were manually transcribed into the EHR, digitizing an inefficient work flow. A team of schedulers, radiologists, technologists, research personnel, and EHR analysts worked together to optimize the EHR to accommodate the needs of research imaging protocols. The transition to electronic workflow posed several problems: (1) there needed to be effective communication throughout the imaging process from scheduling to radiologist interpretation. (2) The exam ordering process needed to be automated to allow scheduling of specific research studies on specific equipment. (3) The billing process needed to be controlled to accommodate radiologists already supported by grants. (4) There needed to be functionality allowing exams to finalize automatically skipping the PACS and interpretation process. (5) There needed to be a way to alert radiologists that a specialized research interpretation was needed on a given exam. These issues were resolved through the optimization of the "visit type," allowing a high-level control of an exam at the time of scheduling. Additionally, we added columns and fields to work queues displaying grant identification numbers. The build solutions we implemented reduced the mistakes made and increased imaging quality and compliance.

Integration of DICOM and openEHR standards

NASA Astrophysics Data System (ADS)

Wang, Ying; Yao, Zhihong; Liu, Lei

2011-03-01

The standard format for medical imaging storage and transmission is DICOM. openEHR is an open standard specification in health informatics that describes the management and storage, retrieval and exchange of health data in electronic health records. Considering that the integration of DICOM and openEHR is beneficial to information sharing, on the basis of XML-based DICOM format, we developed a method of creating a DICOM Imaging Archetype in openEHR to enable the integration of DICOM and openEHR. Each DICOM file contains abundant imaging information. However, because reading a DICOM involves looking up the DICOM Data Dictionary, the readability of a DICOM file has been limited. openEHR has innovatively adopted two level modeling method, making clinical information divided into lower level, the information model, and upper level, archetypes and templates. But one critical challenge posed to the development of openEHR is the information sharing problem, especially in imaging information sharing. For example, some important imaging information cannot be displayed in an openEHR file. In this paper, to enhance the readability of a DICOM file and semantic interoperability of an openEHR file, we developed a method of mapping a DICOM file to an openEHR file by adopting the form of archetype defined in openEHR. Because an archetype has a tree structure, after mapping a DICOM file to an openEHR file, the converted information is structuralized in conformance with openEHR format. This method enables the integration of DICOM and openEHR and data exchange without losing imaging information between two standards.

Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

PubMed

Chen, Jinying; Yu, Hong

2017-04-01

Allowing patients to access their own electronic health record (EHR) notes through online patient portals has the potential to improve patient-centered care. However, EHR notes contain abundant medical jargon that can be difficult for patients to comprehend. One way to help patients is to reduce information overload and help them focus on medical terms that matter most to them. Targeted education can then be developed to improve patient EHR comprehension and the quality of care. The aim of this work was to develop FIT (Finding Important Terms for patients), an unsupervised natural language processing (NLP) system that ranks medical terms in EHR notes based on their importance to patients. We built FIT on a new unsupervised ensemble ranking model derived from the biased random walk algorithm to combine heterogeneous information resources for ranking candidate terms from each EHR note. Specifically, FIT integrates four single views (rankers) for term importance: patient use of medical concepts, document-level term salience, word co-occurrence based term relatedness, and topic coherence. It also incorporates partial information of term importance as conveyed by terms' unfamiliarity levels and semantic types. We evaluated FIT on 90 expert-annotated EHR notes and used the four single-view rankers as baselines. In addition, we implemented three benchmark unsupervised ensemble ranking methods as strong baselines. FIT achieved 0.885 AUC-ROC for ranking candidate terms from EHR notes to identify important terms. When including term identification, the performance of FIT for identifying important terms from EHR notes was 0.813 AUC-ROC. Both performance scores significantly exceeded the corresponding scores from the four single rankers (P<0.001). FIT also outperformed the three ensemble rankers for most metrics. Its performance is relatively insensitive to its parameter. FIT can automatically identify EHR terms important to patients. It may help develop future interventions to improve quality of care. By using unsupervised learning as well as a robust and flexible framework for information fusion, FIT can be readily applied to other domains and applications. Copyright © 2017 Elsevier Inc. All rights reserved.

An appraisal of published usability evaluations of electronic health records via systematic review.

PubMed

Ellsworth, Marc A; Dziadzko, Mikhail; O'Horo, John C; Farrell, Ann M; Zhang, Jiajie; Herasevich, Vitaly

2017-01-01

In this systematic review, we aimed to evaluate methodological and reporting trends present in the current literature by investigating published usability studies of electronic health records (EHRs). A literature search was conducted for articles published through January 2015 using MEDLINE (Ovid), EMBASE, Scopus, and Web of Science, supplemented by citation and reference list reviews. Studies were included if they tested the usability of hospital and clinic EHR systems in the inpatient, outpatient, emergency department, or operating room setting. A total of 4848 references were identified for title and abstract screening. Full text screening was performed for 197 articles, with 120 meeting the criteria for study inclusion. A review of the literature demonstrates a paucity of quality published studies describing scientifically valid and reproducible usability evaluations at various stages of EHR system development. A lack of formal and standardized reporting of EHR usability evaluation results is a major contributor to this knowledge gap, and efforts to improve this deficiency will be one step of moving the field of usability engineering forward. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Evaluation of a Hyperlinked Consumer Health Dictionary for reading EHR notes.

PubMed

Slaughter, Laura; Oyri, Karl; Fosse, Erik

2011-01-01

In this paper, we report on a pilot study conducted to test the usefulness and understandability of definitions in a Consumer Health Dictionary (IVS-CHD). Our two main goals for this study were to evaluate functionality of the dictionary when embedded in electronic health records (EHR) and determine the methodology for our larger-scale project to iteratively develop the IVS-CHD. The hyperlinked IVS-CHD was made available to thoracic surgery patients reading their own EHR. We asked patients to rate definitions on two 5-level Likert items measuring perceived usefulness and understandability. We also captured the terms that patients wanted defined, but that were not included in the IVS-CHD. Preliminary results indicate the types of problems that must be avoided when creating definitions, for example, that patients prefer detailed explanations that include medical outcomes, and that do not use "unfamiliar" terms they must also look up. We also have gained insight into the types of terms that patients want defined from their EHR notes, especially certain abbreviations. Patients further commented on the experience of reading EHR notes directly from the same system used by healthcare personnel and the help strategy of linking the contents to a hyperlinked dictionary.

Barriers and facilitators to electronic documentation in a rural hospital.

PubMed

Whittaker, Alice A; Aufdenkamp, Marilee; Tinley, Susan

2009-01-01

The purpose of the study was to explore nurses' perceptions of barriers and facilitators to adoption of an electronic health record (EHR) in a rural Midwestern hospital. This study was a qualitative, descriptive design. The Staggers and Parks Nurse-Computer Interaction Framework was used to guide directed content analysis. Eleven registered nurses from oncology and medical-surgical units were interviewed using three semistructured interview questions. Predetermined codes and operational definitions were developed from the Staggers and Parks framework. Narrative data were analyzed by each member of the research team and group consensus on coding was reached through group discussions. Participants were able to identify computer-related, nurse-related, and contextual barriers and facilitators to implementation of EHR. In addition, two distinct patterns of perceptions and acceptance were identified. The Staggers and Parks Nurse-Computer Interaction framework was found to be useful in identifying computer, nurse, and contextual characteristics that act as facilitators or barriers to adoption of an EHR system. Acceptance and use of an EHR are enhanced when barriers are managed and facilitators are supported. Understanding and management of facilitators and barriers to EHR adoption may impact nurses' ability to provide and document nursing care.

Integrated Electronic Health Record Database Management System: A Proposal.

PubMed

Schiza, Eirini C; Panos, George; David, Christiana; Petkov, Nicolai; Schizas, Christos N

2015-01-01

eHealth has attained significant importance as a new mechanism for health management and medical practice. However, the technological growth of eHealth is still limited by technical expertise needed to develop appropriate products. Researchers are constantly in a process of developing and testing new software for building and handling Clinical Medical Records, being renamed to Electronic Health Record (EHR) systems; EHRs take full advantage of the technological developments and at the same time provide increased diagnostic and treatment capabilities to doctors. A step to be considered for facilitating this aim is to involve more actively the doctor in building the fundamental steps for creating the EHR system and database. A global clinical patient record database management system can be electronically created by simulating real life medical practice health record taking and utilizing, analyzing the recorded parameters. This proposed approach demonstrates the effective implementation of a universal classic medical record in electronic form, a procedure by which, clinicians are led to utilize algorithms and intelligent systems for their differential diagnosis, final diagnosis and treatment strategies.

Adoption of electronic health records: a qualitative study of academic and private physicians and health administrators.

PubMed

Grabenbauer, L; Fraser, R; McClay, J; Woelfl, N; Thompson, C B; Cambell, J; Windle, J

2011-01-01

Less than 20% of hospitals in the US have an electronic health record (EHR). In this qualitative study, we examine the perspectives of both academic and private physicians and administrators as stakeholders, and their alignment, to explore their perspectives on the use of technology in the clinical environment. Focus groups were conducted with 74 participants who were asked a series of open-ended questions. Grounded theory was used to analyze the transcribed data and build convergent themes. The relevance and importance of themes was constructed by examining frequency, convergence, and intensity. A model was proposed that represents the interactions between themes. Six major themes emerged, which include the impact of EHR systems on workflow, patient care, communication, research/outcomes/billing, education/learning, and institutional culture. Academic and private physicians were confident of the future benefits of EHR systems, yet cautious about the current implementations of EHR, and its impact on interactions with other members of the healthcare team and with patients, and the amount of time necessary to use EHR's. Private physicians differed on education and were uneasy about the steep learning curve necessary for use of new systems. In contrast to physicians, university and hospital administrators are optimistic, and value the availability of data for use in reporting. The results of our study indicate that both private and academic physicians concur on the need for features that maintain and enhance the relationship with the patient and the healthcare team. Resistance to adoption is related to insufficient functionality and its potential negative impact on patient care. Integration of data collection into clinical workflows must consider the unexpected costs of data acquisition.

Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting.

PubMed

Bruland, Philipp; McGilchrist, Mark; Zapletal, Eric; Acosta, Dionisio; Proeve, Johann; Askin, Scott; Ganslandt, Thomas; Doods, Justin; Dugas, Martin

2016-11-22

Data capture is one of the most expensive phases during the conduct of a clinical trial and the increasing use of electronic health records (EHR) offers significant savings to clinical research. To facilitate these secondary uses of routinely collected patient data, it is beneficial to know what data elements are captured in clinical trials. Therefore our aim here is to determine the most commonly used data elements in clinical trials and their availability in hospital EHR systems. Case report forms for 23 clinical trials in differing disease areas were analyzed. Through an iterative and consensus-based process of medical informatics professionals from academia and trial experts from the European pharmaceutical industry, data elements were compiled for all disease areas and with special focus on the reporting of adverse events. Afterwards, data elements were identified and statistics acquired from hospital sites providing data to the EHR4CR project. The analysis identified 133 unique data elements. Fifty elements were congruent with a published data inventory for patient recruitment and 83 new elements were identified for clinical trial execution, including adverse event reporting. Demographic and laboratory elements lead the list of available elements in hospitals EHR systems. For the reporting of serious adverse events only very few elements could be identified in the patient records. Common data elements in clinical trials have been identified and their availability in hospital systems elucidated. Several elements, often those related to reimbursement, are frequently available whereas more specialized elements are ranked at the bottom of the data inventory list. Hospitals that want to obtain the benefits of reusing data for research from their EHR are now able to prioritize their efforts based on this common data element list.

Using Information from the Electronic Health Record to Improve Measurement of Unemployment in Service Members and Veterans with mTBI and Post-Deployment Stress

PubMed Central

Dillahunt-Aspillaga, Christina; Finch, Dezon; Massengale, Jill; Kretzmer, Tracy; Luther, Stephen L.; McCart, James A.

2014-01-01

Objective The purpose of this pilot study is 1) to develop an annotation schema and a training set of annotated notes to support the future development of a natural language processing (NLP) system to automatically extract employment information, and 2) to determine if information about employment status, goals and work-related challenges reported by service members and Veterans with mild traumatic brain injury (mTBI) and post-deployment stress can be identified in the Electronic Health Record (EHR). Design Retrospective cohort study using data from selected progress notes stored in the EHR. Setting Post-deployment Rehabilitation and Evaluation Program (PREP), an in-patient rehabilitation program for Veterans with TBI at the James A. Haley Veterans' Hospital in Tampa, Florida. Participants Service members and Veterans with TBI who participated in the PREP program (N = 60). Main Outcome Measures Documentation of employment status, goals, and work-related challenges reported by service members and recorded in the EHR. Results Two hundred notes were examined and unique vocational information was found indicating a variety of self-reported employment challenges. Current employment status and future vocational goals along with information about cognitive, physical, and behavioral symptoms that may affect return-to-work were extracted from the EHR. The annotation schema developed for this study provides an excellent tool upon which NLP studies can be developed. Conclusions Information related to employment status and vocational history is stored in text notes in the EHR system. Information stored in text does not lend itself to easy extraction or summarization for research and rehabilitation planning purposes. Development of NLP systems to automatically extract text-based employment information provides data that may improve the understanding and measurement of employment in this important cohort. PMID:25541956

Patient characteristics associated with venous thromboembolic events: a cohort study using pooled electronic health record data

PubMed Central

Foster, Wendy; Gilder, Jason; Love, Thomas E; Jain, Anil K

2012-01-01

Objective To demonstrate the potential of de-identified clinical data from multiple healthcare systems using different electronic health records (EHR) to be efficiently used for very large retrospective cohort studies. Materials and methods Data of 959 030 patients, pooled from multiple different healthcare systems with distinct EHR, were obtained. Data were standardized and normalized using common ontologies, searchable through a HIPAA-compliant, patient de-identified web application (Explore; Explorys Inc). Patients were 26 years or older seen in multiple healthcare systems from 1999 to 2011 with data from EHR. Results Comparing obese, tall subjects with normal body mass index, short subjects, the venous thromboembolic events (VTE) OR was 1.83 (95% CI 1.76 to 1.91) for women and 1.21 (1.10 to 1.32) for men. Weight had more effect then height on VTE. Compared with Caucasian, Hispanic/Latino subjects had a much lower risk of VTE (female OR 0.47, 0.41 to 0.55; male OR 0.24, 0.20 to 0.28) and African-Americans a substantially higher risk (female OR 1.83, 1.76 to 1.91; male OR 1.58, 1.50 to 1.66). This 13-year retrospective study of almost one million patients was performed over approximately 125 h in 11 weeks, part time by the five authors. Discussion As research informatics tools develop and more clinical data become available in EHR, it is important to study and understand unique opportunities for clinical research informatics to transform the scale and resources needed to perform certain types of clinical research. Conclusions With the right clinical research informatics tools and EHR data, some types of very large cohort studies can be completed with minimal resources. PMID:22759621

Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013.

PubMed

Lammers, Eric J; McLaughlin, Catherine G

2017-08-01

To determine if recent growth in hospital and physician electronic health record (EHR) adoption and use is correlated with decreases in expenditures for elderly Medicare beneficiaries. American Hospital Association (AHA) General Survey and Information Technology Supplement, Health Information Management Systems Society (HIMSS) Analytics survey, SK&A Information Services, and the Centers for Medicare & Medicaid Services (CMS) Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013. Fixed effects model comparing associations between hospital referral region (HRR) level measures of hospital and physician EHR penetration and annual Medicare expenditures for beneficiaries with one of four chronic conditions. Calculated hospital penetration rates as the percentage of Medicare discharges from hospitals that satisfied criteria analogous to Meaningful Use (MU) Stage 1 requirements and physician rates as the percentage of physicians using ambulatory care EHRs. An increase in the hospital penetration rate was associated with a small but statistically significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary. An increase in physician EHR penetration was also associated with a significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary as well as a decrease in Medicare Part B expenditures per beneficiary. For the study population, we estimate approximately $3.8 billion in savings related to hospital and physician EHR adoption during 2010-2013. We also found that an increase in physician EHR penetration was associated with an increase in lab test expenses. Health care markets that had steeper increases in EHR penetration during 2010-2013 also had steeper decreases in total Medicare and acute care expenditures per beneficiary. Markets with greater increases in physician EHR had greater declines in Medicare Part B expenditures per beneficiary. © Health Research and Educational Trust.

Cross-vendor evaluation of key user-defined clinical decision support capabilities: a scenario-based assessment of certified electronic health records with guidelines for future development.

PubMed

McCoy, Allison B; Wright, Adam; Sittig, Dean F

2015-09-01

Clinical decision support (CDS) is essential for delivery of high-quality, cost-effective, and safe healthcare. The authors sought to evaluate the CDS capabilities across electronic health record (EHR) systems. We evaluated the CDS implementation capabilities of 8 Office of the National Coordinator for Health Information Technology Authorized Certification Body (ONC-ACB)-certified EHRs. Within each EHR, the authors attempted to implement 3 user-defined rules that utilized the various data and logic elements expected of typical EHRs and that represented clinically important evidenced-based care. The rules were: 1) if a patient has amiodarone on his or her active medication list and does not have a thyroid-stimulating hormone (TSH) result recorded in the last 12 months, suggest ordering a TSH; 2) if a patient has a hemoglobin A1c result >7% and does not have diabetes on his or her problem list, suggest adding diabetes to the problem list; and 3) if a patient has coronary artery disease on his or her problem list and does not have aspirin on the active medication list, suggest ordering aspirin. Most evaluated EHRs lacked some CDS capabilities; 5 EHRs were able to implement all 3 rules, and the remaining 3 EHRs were unable to implement any of the rules. One of these did not allow users to customize CDS rules at all. The most frequently found shortcomings included the inability to use laboratory test results in rules, limit rules by time, use advanced Boolean logic, perform actions from the alert interface, and adequately test rules. Significant improvements in the EHR certification and implementation procedures are necessary. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Electronic Health Record (EHR)-Based Community Health Measures: An Exploratory Assessment of Perceived Usefulness by Local Health Departments.

PubMed

Comer, Karen F; Gibson, P Joseph; Zou, Jian; Rosenman, Marc; Dixon, Brian E

2018-05-22

Given the widespread adoption of electronic health record (EHR) systems in health care organizations, public health agencies are interested in accessing EHR data to improve health assessment and surveillance. Yet there exist few examples in the U.S. of governmental health agencies using EHR data routinely to examine disease prevalence and other measures of community health. The objective of this study was to explore local health department (LHD) professionals' perceptions of the usefulness of EHR-based community health measures, and to examine these perceptions in the context of LHDs' current access and use of sub-county data, data aggregated at geographic levels smaller than county. To explore perceived usefulness, we conducted an online survey of LHD professionals in Indiana. One hundred and thirty-three (133) individuals from thirty-one (31) LHDs participated. The survey asked about usefulness of specific community health measures as well as current access to and uses of sub-county population health data. Descriptive statistics were calculated to examine respondents' perceptions, access, and use. A one-way ANOVA (with pairwise comparisons) test was used to compare average scores by LHD size. Respondents overall indicated moderate agreement on which community health measures might be useful. Perceived usefulness of specific EHR-based community health measures varied by size of respondent's LHD [F(3, 88) = 3.56, p = 0.017]. Over 70% of survey respondents reported using community health data, but of those < 30% indicated they had access to sub-county level data. Respondents generally preferred familiar community health measures versus novel, EHR-based measures that are not in widespread use within health departments. Access to sub-county data is limited but strongly desired. Future research and development is needed as LHD staff gain access to EHR data and apply these data to support the core function of health assessment.

Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

PubMed Central

Xia, Zongqi; Secor, Elizabeth; Chibnik, Lori B.; Bove, Riley M.; Cheng, Suchun; Chitnis, Tanuja; Cagan, Andrew; Gainer, Vivian S.; Chen, Pei J.; Liao, Katherine P.; Shaw, Stanley Y.; Ananthakrishnan, Ashwin N.; Szolovits, Peter; Weiner, Howard L.; Karlson, Elizabeth W.; Murphy, Shawn N.; Savova, Guergana K.; Cai, Tianxi; Churchill, Susanne E.; Plenge, Robert M.; Kohane, Isaac S.; De Jager, Philip L.

2013-01-01

Objective To optimally leverage the scalability and unique features of the electronic health records (EHR) for research that would ultimately improve patient care, we need to accurately identify patients and extract clinically meaningful measures. Using multiple sclerosis (MS) as a proof of principle, we showcased how to leverage routinely collected EHR data to identify patients with a complex neurological disorder and derive an important surrogate measure of disease severity heretofore only available in research settings. Methods In a cross-sectional observational study, 5,495 MS patients were identified from the EHR systems of two major referral hospitals using an algorithm that includes codified and narrative information extracted using natural language processing. In the subset of patients who receive neurological care at a MS Center where disease measures have been collected, we used routinely collected EHR data to extract two aggregate indicators of MS severity of clinical relevance multiple sclerosis severity score (MSSS) and brain parenchymal fraction (BPF, a measure of whole brain volume). Results The EHR algorithm that identifies MS patients has an area under the curve of 0.958, 83% sensitivity, 92% positive predictive value, and 89% negative predictive value when a 95% specificity threshold is used. The correlation between EHR-derived and true MSSS has a mean R2 = 0.38±0.05, and that between EHR-derived and true BPF has a mean R2 = 0.22±0.08. To illustrate its clinical relevance, derived MSSS captures the expected difference in disease severity between relapsing-remitting and progressive MS patients after adjusting for sex, age of symptom onset and disease duration (p = 1.56×10−12). Conclusion Incorporation of sophisticated codified and narrative EHR data accurately identifies MS patients and provides estimation of a well-accepted indicator of MS severity that is widely used in research settings but not part of the routine medical records. Similar approaches could be applied to other complex neurological disorders. PMID:24244385

Digital Family Histories for Data Mining

PubMed Central

Hoyt, Robert; Linnville, Steven; Chung, Hui-Min; Hutfless, Brent; Rice, Courtney

2013-01-01

As we move closer to ubiquitous electronic health records (EHRs), genetic, familial, and clinical information will need to be incorporated into EHRs as structured data that can be used for data mining and clinical decision support. While the Human Genome Project has produced new and exciting genomic data, the cost to sequence the human personal genome is high, and significant controversies regarding how to interpret genomic data exist. Many experts feel that the family history is a surrogate marker for genetic information and should be part of any paper-based or electronic health record. A digital family history is now part of the Meaningful Use Stage 2 menu objectives for EHR reimbursement, projected for 2014. In this study, a secure online family history questionnaire was designed to collect data on a unique cohort of Vietnam-era repatriated male veterans and a comparison group in order to compare participant and family disease rates on common medical disorders with a genetic component. This article describes our approach to create the digital questionnaire and the results of analyzing family history data on 319 male participants. PMID:24159269

Digital family histories for data mining.

PubMed

Hoyt, Robert; Linnville, Steven; Chung, Hui-Min; Hutfless, Brent; Rice, Courtney

2013-01-01

As we move closer to ubiquitous electronic health records (EHRs), genetic, familial, and clinical information will need to be incorporated into EHRs as structured data that can be used for data mining and clinical decision support. While the Human Genome Project has produced new and exciting genomic data, the cost to sequence the human personal genome is high, and significant controversies regarding how to interpret genomic data exist. Many experts feel that the family history is a surrogate marker for genetic information and should be part of any paper-based or electronic health record. A digital family history is now part of the Meaningful Use Stage 2 menu objectives for EHR reimbursement, projected for 2014. In this study, a secure online family history questionnaire was designed to collect data on a unique cohort of Vietnam-era repatriated male veterans and a comparison group in order to compare participant and family disease rates on common medical disorders with a genetic component. This article describes our approach to create the digital questionnaire and the results of analyzing family history data on 319 male participants.

Are physicians' perceptions of healthcare quality and practice satisfaction affected by errors associated with electronic health record use?

PubMed Central

Wright, Adam; Simon, Steven R; Jenter, Chelsea A; Soran, Christine S; Volk, Lynn A; Bates, David W; Poon, Eric G

2011-01-01

Background Electronic health record (EHR) adoption is a national priority in the USA, and well-designed EHRs have the potential to improve quality and safety. However, physicians are reluctant to implement EHRs due to financial constraints, usability concerns, and apprehension about unintended consequences, including the introduction of medical errors related to EHR use. The goal of this study was to characterize and describe physicians' attitudes towards three consequences of EHR implementation: (1) the potential for EHRs to introduce new errors; (2) improvements in healthcare quality; and (3) changes in overall physician satisfaction. Methods Using data from a 2007 statewide survey of Massachusetts physicians, we conducted multivariate regression analysis to examine relationships between practice characteristics, perceptions of EHR-related errors, perceptions of healthcare quality, and overall physician satisfaction. Results 30% of physicians agreed that EHRs create new opportunities for error, but only 2% believed their EHR has created more errors than it prevented. With respect to perceptions of quality, there was no significant association between perceptions of EHR-associated errors and perceptions of EHR-associated changes in healthcare quality. Finally, physicians who believed that EHRs created new opportunities for error were less likely be satisfied with their practice situation (adjusted OR 0.49, p=0.001). Conclusions Almost one third of physicians perceived that EHRs create new opportunities for error. This perception was associated with lower levels of physician satisfaction. PMID:22199017

Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data.

PubMed

Scholte, Marijn; van Dulmen, Simone A; Neeleman-Van der Steen, Catherina W M; van der Wees, Philip J; Nijhuis-van der Sanden, Maria W G; Braspenning, Jozé

2016-11-08

With the emergence of the electronic health records (EHRs) as a pervasive healthcare information technology, new opportunities and challenges for use of clinical data for quality measurements arise with respect to data quality, data availability and comparability. The objective of this study is to test whether data extracted from electronic health records (EHRs) was of comparable quality as survey data for the calculation of quality indicators. Data from surveys describing patient cases and filled out by physiotherapists in 2009-2010 were used to calculate scores on eight quality indicators (QIs) to measure the quality of physiotherapy care. In 2011, data was extracted directly from EHRs. The data collection methods were evaluated for comparability. EHR data was compared to survey data on completeness and correctness. Five of the eight QIs could be extracted from the EHRs. Three were omitted from the indicator set, as they proved too difficult to be extracted from the EHRs. Another QI proved incomparable due to errors in the extraction software of some of the EHRs. Three out of four comparable QIs performed better (p < 0.001) in EHR data on completeness. EHR data also proved to be correct; the relative change in indicator scores between EHR and survey data were small (<5 %) in three out of four QIs. Data quality of EHRs was sufficient to be used for the calculation of QIs, although comparability to survey data was problematic. Standardization is needed, not only to be able to compare different data collection methods properly, but also to compare between practices with different EHRs. EHRs have the option to administrate narrative data, but natural language processing tools are needed to quantify these text boxes. Such development, can narrow the comparability gap between scoring QIs based on EHR data and based on survey data. EHRs have the potential to provide real time feedback to professionals and quality measurements for research, but more effort is needed to create unambiguous and uniform information and to unlock written text in a standardized manner.

Expressing clinical data sets with openEHR archetypes: a solid basis for ubiquitous computing.

PubMed

Garde, Sebastian; Hovenga, Evelyn; Buck, Jasmin; Knaup, Petra

2007-12-01

The purpose of this paper is to analyse the feasibility and usefulness of expressing clinical data sets (CDSs) as openEHR archetypes. For this, we present an approach to transform CDS into archetypes, and outline typical problems with CDS and analyse whether some of these problems can be overcome by the use of archetypes. Literature review and analysis of a selection of existing Australian, German, other European and international CDSs; transfer of a CDS for Paediatric Oncology into openEHR archetypes; implementation of CDSs in application systems. To explore the feasibility of expressing CDS as archetypes an approach to transform existing CDSs into archetypes is presented in this paper. In case of the Paediatric Oncology CDS (which consists of 260 data items) this lead to the definition of 48 openEHR archetypes. To analyse the usefulness of expressing CDS as archetypes, we identified nine problems with CDS that currently remain unsolved without a common model underpinning the CDS. Typical problems include incompatible basic data types and overlapping and incompatible definitions of clinical content. A solution to most of these problems based on openEHR archetypes is motivated. With regard to integrity constraints, further research is required. While openEHR cannot overcome all barriers to Ubiquitous Computing, it can provide the common basis for ubiquitous presence of meaningful and computer-processable knowledge and information, which we believe is a basic requirement for Ubiquitous Computing. Expressing CDSs as openEHR archetypes is feasible and advantageous as it fosters semantic interoperability, supports ubiquitous computing, and helps to develop archetypes that are arguably of better quality than the original CDS.

Dental care providers' and patients' perceptions of the effect of health information technology in the dental care setting.

PubMed

Asan, Onur; Ye, Zhan; Acharya, Amit

2013-09-01

The use of electronic health records (EHRs) in dental care and their effect on dental care provider-patient interaction have not been studied sufficiently. The authors conducted a study to explore dental care providers' interactions with EHRs during patient visits, how these interactions influence dental care provider-patient communication, and the providers' and patients' perception of EHR use in the dental clinic setting during patient visits. The authors collected survey and interview data from patients and providers at three dental clinics in a health care system. The authors used qualitative and quantitative methods to analyze data obtained from patients and dental care providers. The provider survey results showed significant differences in perceptions of EHR use in patient visits across dental care provider groups (dentists, dental hygienists and dental assistants). Patient survey results indicated that some patients experienced a certain level of frustration and distraction because of providers' use of EHRs during the visit. The provider survey results indicated that there are different perceptions across provider groups about EHRs and the effect of computer use on communication with patients. Dental assistants generally reported more negative effects on communication with patients owing to computer use. Interview results also indicated that dental care providers may not feel comfortable interacting with the EHR without having any verbal or eye contact with patients during the patient's dental visit. A new design for dental operatories and locations of computer screens within the operatories should be undertaken to prevent negative nonverbal communication such as loss of eye contact or forcing the provider and patient to sit back to back, as well as to enhance patient education and information sharing.

Validation and Refinement of a Pain Information Model from EHR Flowsheet Data.

PubMed

Westra, Bonnie L; Johnson, Steven G; Ali, Samira; Bavuso, Karen M; Cruz, Christopher A; Collins, Sarah; Furukawa, Meg; Hook, Mary L; LaFlamme, Anne; Lytle, Kay; Pruinelli, Lisiane; Rajchel, Tari; Settergren, Theresa Tess; Westman, Kathryn F; Whittenburg, Luann

2018-01-01

Secondary use of electronic health record (EHR) data can reduce costs of research and quality reporting. However, EHR data must be consistent within and across organizations. Flowsheet data provide a rich source of interprofessional data and represents a high volume of documentation; however, content is not standardized. Health care organizations design and implement customized content for different care areas creating duplicative data that is noncomparable. In a prior study, 10 information models (IMs) were derived from an EHR that included 2.4 million patients. There was a need to evaluate the generalizability of the models across organizations. The pain IM was selected for evaluation and refinement because pain is a commonly occurring problem associated with high costs for pain management. The purpose of our study was to validate and further refine a pain IM from EHR flowsheet data that standardizes pain concepts, definitions, and associated value sets for assessments, goals, interventions, and outcomes. A retrospective observational study was conducted using an iterative consensus-based approach to map, analyze, and evaluate data from 10 organizations. The aggregated metadata from the EHRs of 8 large health care organizations and the design build in 2 additional organizations represented flowsheet data from 6.6 million patients, 27 million encounters, and 683 million observations. The final pain IM has 30 concepts, 4 panels (classes), and 396 value set items. Results are built on Logical Observation Identifiers Names and Codes (LOINC) pain assessment terms and extend the need for additional terms to support interoperability. The resulting pain IM is a consensus model based on actual EHR documentation in the participating health systems. The IM captures the most important concepts related to pain. Schattauer GmbH Stuttgart.

Development of a Hospital Outcome Measure Intended for Use With Electronic Health Records: 30-Day Risk-standardized Mortality After Acute Myocardial Infarction.

PubMed

McNamara, Robert L; Wang, Yongfei; Partovian, Chohreh; Montague, Julia; Mody, Purav; Eddy, Elizabeth; Krumholz, Harlan M; Bernheim, Susannah M

2015-09-01

Electronic health records (EHRs) offer the opportunity to transform quality improvement by using clinical data for comparing hospital performance without the burden of chart abstraction. However, current performance measures using EHRs are lacking. With support from the Centers for Medicare & Medicaid Services (CMS), we developed an outcome measure of hospital risk-standardized 30-day mortality rates for patients with acute myocardial infarction for use with EHR data. As no appropriate source of EHR data are currently available, we merged clinical registry data from the Action Registry-Get With The Guidelines with claims data from CMS to develop the risk model (2009 data for development, 2010 data for validation). We selected candidate variables that could be feasibly extracted from current EHRs and do not require changes to standard clinical practice or data collection. We used logistic regression with stepwise selection and bootstrapping simulation for model development. The final risk model included 5 variables available on presentation: age, heart rate, systolic blood pressure, troponin ratio, and creatinine level. The area under the receiver operating characteristic curve was 0.78. Hospital risk-standardized mortality rates ranged from 9.6% to 13.1%, with a median of 10.7%. The odds of mortality for a high-mortality hospital (+1 SD) were 1.37 times those for a low-mortality hospital (-1 SD). This measure represents the first outcome measure endorsed by the National Quality Forum for public reporting of hospital quality based on clinical data in the EHR. By being compatible with current clinical practice and existing EHR systems, this measure is a model for future quality improvement measures.

The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records. A Systematic Literature Review.

PubMed

Maritz, Roxanne; Aronsky, Dominik; Prodinger, Birgit

2017-09-20

The International Classification of Functioning, Disability and Health (ICF) is the World Health Organization's standard for describing health and health-related states. Examples of how the ICF has been used in Electronic Health Records (EHRs) have not been systematically summarized and described yet. To provide a systematic review of peer-reviewed literature about the ICF's use in EHRs, including related challenges and benefits. Peer-reviewed literature, published between January 2001 and July 2015 was retrieved from Medline ® , CINAHL ® , Scopus ® , and ProQuest ® Social Sciences using search terms related to ICF and EHR concepts. Publications were categorized according to three groups: Requirement specification, development and implementation. Information extraction was conducted according to a qualitative content analysis method, deductively informed by the evaluation framework for Health Information Systems: Human, Organization and Technology-fit (HOT-fit). Of 325 retrieved articles, 17 publications were included; 4 were categorized as requirement specification, 7 as development, and 6 as implementation publications. Information regarding the HOT-fit evaluation framework was summarized. Main benefits of using the ICF in EHRs were its unique comprehensive perspective on health and its interdisciplinary focus. Main challenges included the fact that the ICF is not structured as a formal terminology as well as the need for a reduced number of ICF codes for more feasible and practical use. Different approaches and technical solutions exist for integrating the ICF in EHRs, such as combining the ICF with other existing standards for EHR or selecting ICF codes with natural language processing. Though the use of the ICF in EHRs is beneficial as this review revealed, the ICF could profit from further improvements such as formalizing the knowledge representation in the ICF to support and enhance interoperability.

Integrating clinical research with the Healthcare Enterprise: from the RE-USE project to the EHR4CR platform.

PubMed

El Fadly, AbdenNaji; Rance, Bastien; Lucas, Noël; Mead, Charles; Chatellier, Gilles; Lastic, Pierre-Yves; Jaulent, Marie-Christine; Daniel, Christel

2011-12-01

There are different approaches for repurposing clinical data collected in the Electronic Healthcare Record (EHR) for use in clinical research. Semantic integration of "siloed" applications across domain boundaries is the raison d'être of the standards-based profiles developed by the Integrating the Healthcare Enterprise (IHE) initiative - an initiative by healthcare professionals and industry promoting the coordinated use of established standards such as DICOM and HL7 to address specific clinical needs in support of optimal patient care. In particular, the combination of two IHE profiles - the integration profile "Retrieve Form for Data Capture" (RFD), and the IHE content profile "Clinical Research Document" (CRD) - offers a straightforward approach to repurposing EHR data by enabling the pre-population of the case report forms (eCRF) used for clinical research data capture by Clinical Data Management Systems (CDMS) with previously collected EHR data. Implement an alternative solution of the RFD-CRD integration profile centered around two approaches: (i) Use of the EHR as the single-source data-entry and persistence point in order to ensure that all the clinical data for a given patient could be found in a single source irrespective of the data collection context, i.e. patient care or clinical research; and (ii) Maximize the automatic pre-population process through the use of a semantic interoperability services that identify duplicate or semantically-equivalent eCRF/EHR data elements as they were collected in the EHR context. The RE-USE architecture and associated profiles are focused on defining a set of scalable, standards-based, IHE-compliant profiles that can enable single-source data collection/entry and cross-system data reuse through semantic integration. Specifically, data reuse is realized through the semantic mapping of data collection fields in electronic Case Report Forms (eCRFs) to data elements previously defined as part of patient care-centric templates in the EHR context. The approach was evaluated in the context of a multi-center clinical trial conducted in a large, multi-disciplinary hospital with an installed EHR. Data elements of seven eCRFs used in a multi-center clinical trial were mapped to data elements of patient care-centric templates in use in the EHR at the George Pompidou hospital. 13.4% of the data elements of the eCRFs were found to be represented in EHR templates and were therefore candidate for pre-population. During the execution phase of the clinical study, the semantic mapping architecture enabled data persisted in the EHR context as part of clinical care to be used to pre-populate eCRFS for use without secondary data entry. To ensure that the pre-populated data is viable for use in the clinical research context, all pre-populated eCRF data needs to be first approved by a trial investigator prior to being persisted in a research data store within a CDMS. Single-source data entry in the clinical care context for use in the clinical research context - a process enabled through the use of the EHR as single point of data entry, can - if demonstrated to be a viable strategy - not only significantly reduce data collection efforts while simultaneously increasing data collection accuracy secondary to elimination of transcription or double-entry errors between the two contexts but also ensure that all the clinical data for a given patient, irrespective of the data collection context, are available in the EHR for decision support and treatment planning. The RE-USE approach used mapping algorithms to identify semantic coherence between clinical care and clinical research data elements and pre-populate eCRFs. The RE-USE project utilized SNOMED International v.3.5 as its "pivot reference terminology" to support EHR-to-eCRF mapping, a decision that likely enhanced the "recall" of the mapping algorithms. The RE-USE results demonstrate the difficult challenges involved in semantic integration between the clinical care and clinical research contexts. Copyright © 2011 Elsevier Inc. All rights reserved.

Effect of Systems Change and Use of Electronic Health Records on Quit Rates Among Tobacco Users in a Public Hospital System

PubMed Central

Nasuti, Laura; Yi, Yong; Celestin, Michael D.; Horswell, Ronald; Land, Thomas G.

2015-01-01

Objectives. We examined electronic health records (EHRs) to assess the impact of systems change on tobacco use screening, treatment, and quit rates among low-income primary care patients in Louisiana. Methods. We examined EHR data on 79 777 patients with more than 1.2 million adult primary care encounters from January 1, 2009, through January 31, 2012, for evidence of systems change. We adapted a definition of “systems change” to evaluate a tobacco screening and treatment protocol used by medical staff during primary care visits at 7 sites in a public hospital system. Results. Six of 7 sites met the definition of systems change, with routine screening rates for tobacco use higher than 50%. Within the first year, a 99.7% screening rate was reached. Sites had a 9.5% relative decrease in prevalence over the study period. Patients were 1.03 times more likely to sustain quit with each additional intervention (95% confidence interval = 1.02, 1.04). Conclusions. EHRs can be used to demonstrate that routine clinical interventions with low-income primary care patients result in reductions in tobacco use and sustained quits. PMID:25689197

75 FR 62686 - Health Information Technology: Revisions to Initial Set of Standards, Implementation...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-13

... program whereby the National Coordinator would authorize organizations to test and certify Complete EHRs... Certification Bodies (ONC-ATCBs)) to test and certify Complete EHRs and/or EHR Modules to the certification... Coordinator to test and certify Complete EHRs and/or EHR Modules, it will be subject, depending on the scope...

RAVEL: retrieval and visualization in ELectronic health records.

PubMed

Thiessard, Frantz; Mougin, Fleur; Diallo, Gayo; Jouhet, Vianney; Cossin, Sébastien; Garcelon, Nicolas; Campillo, Boris; Jouini, Wassim; Grosjean, Julien; Massari, Philippe; Griffon, Nicolas; Dupuch, Marie; Tayalati, Fayssal; Dugas, Edwige; Balvet, Antonio; Grabar, Natalia; Pereira, Suzanne; Frandji, Bruno; Darmoni, Stefan; Cuggia, Marc

2012-01-01

Because of the ever-increasing amount of information in patients' EHRs, healthcare professionals may face difficulties for making diagnoses and/or therapeutic decisions. Moreover, patients may misunderstand their health status. These medical practitioners need effective tools to locate in real time relevant elements within the patients' EHR and visualize them according to synthetic and intuitive presentation models. The RAVEL project aims at achieving this goal by performing a high profile industrial research and development program on the EHR considering the following areas: (i) semantic indexing, (ii) information retrieval, and (iii) data visualization. The RAVEL project is expected to implement a generic, loosely coupled to data sources prototype so that it can be transposed into different university hospitals information systems.

Technological trends in health care: electronic health record.

PubMed

Abraham, Sam

2010-01-01

The most relevant technological trend affecting health care organizations and physician services is the electronic health record (EHR). Billions of dollars from the federal government stimulus bill are available for investment toward EHR. Based on the government directives, it is evident EHR has to be a high-priority technological intervention in health care organizations. Addressed in the following pages are the effects of the EHR trend on financial and human resources; analysis of advantages and disadvantages of EHR; action steps involved in implementing EHR, and a timeline for implementation. Medical facilities that do not meet the timetable for using EHR will likely experience reduction of Medicare payments. This article also identifies the strengths, weaknesses, opportunities, and threats of the EHR and steps to be taken by hospitals and physician medical groups to receive stimulus payment.

Electronic Health Records and US Public Health: Current Realities and Future Promise

PubMed Central

Parrish, R. Gibson; Ross, David A.

2013-01-01

Electronic health records (EHRs) could contribute to improving population health in the United States. Realizing this potential will require understanding what EHRs can realistically offer to efforts to improve population health, the requirements for obtaining useful information from EHRs, and a plan for addressing these requirements. Potential contributions of EHRs to improving population health include better understanding of the level and distribution of disease, function, and well-being within populations. Requirements are improved population coverage of EHRs, standardized EHR content and reporting methods, and adequate legal authority for using EHRs, particularly for population health. A collaborative national effort to address the most pressing prerequisites for and barriers to the use of EHRs for improving population health is needed to realize the EHR’s potential. PMID:23865646