Medical therapeutics: from induction to scientific evolution.

PubMed

Nunes, José Pedro Lopes

2013-01-01

The field of medical therapeutics may be characterized as having suffered major scientific evolution in the last decades. The publication of landmark studies has been important enough to produce shifts in patient care. However, the scientific evolution in this field does not necessarily imply a progressively greater degree of certitude. In fact, it is not uncommon for new knowledge, when reflected in clinical practice, to weaken previous knowledge. In medical therapeutics, strict inductive reasoning implies the existence of empirical intervention data, typically clinical trial data. In many instances, however, such data does not exist-leaving room for a mixture of inductive and "pseudo-deductive" reasoning. It is often necessary to establish treatment on the basis of incomplete and inconclusive information, more so when the clinical situation is grave, but when no valid information exists, no treatment may be an option. In many instances, the rule "I wish not to impose on others" has superseded the concept "Do not impose on others what you yourself do not desire."

Unified treatment algorithm for the management of crotaline snakebite in the United States: results of an evidence-informed consensus workshop

PubMed Central

2011-01-01

Background Envenomation by crotaline snakes (rattlesnake, cottonmouth, copperhead) is a complex, potentially lethal condition affecting thousands of people in the United States each year. Treatment of crotaline envenomation is not standardized, and significant variation in practice exists. Methods A geographically diverse panel of experts was convened for the purpose of deriving an evidence-informed unified treatment algorithm. Research staff analyzed the extant medical literature and performed targeted analyses of existing databases to inform specific clinical decisions. A trained external facilitator used modified Delphi and structured consensus methodology to achieve consensus on the final treatment algorithm. Results A unified treatment algorithm was produced and endorsed by all nine expert panel members. This algorithm provides guidance about clinical and laboratory observations, indications for and dosing of antivenom, adjunctive therapies, post-stabilization care, and management of complications from envenomation and therapy. Conclusions Clinical manifestations and ideal treatment of crotaline snakebite differ greatly, and can result in severe complications. Using a modified Delphi method, we provide evidence-informed treatment guidelines in an attempt to reduce variation in care and possibly improve clinical outcomes. PMID:21291549

The intelligent clinical laboratory as a tool to increase cancer care management productivity.

PubMed

Mohammadzadeh, Niloofar; Safdari, Reza

2014-01-01

Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

[A web-based integrated clinical database for laryngeal cancer].

PubMed

E, Qimin; Liu, Jialin; Li, Yong; Liang, Chuanyu

2014-08-01

To establish an integrated database for laryngeal cancer, and to provide an information platform for laryngeal cancer in clinical and fundamental researches. This database also meet the needs of clinical and scientific use. Under the guidance of clinical expert, we have constructed a web-based integrated clinical database for laryngeal carcinoma on the basis of clinical data standards, Apache+PHP+MySQL technology, laryngeal cancer specialist characteristics and tumor genetic information. A Web-based integrated clinical database for laryngeal carcinoma had been developed. This database had a user-friendly interface and the data could be entered and queried conveniently. In addition, this system utilized the clinical data standards and exchanged information with existing electronic medical records system to avoid the Information Silo. Furthermore, the forms of database was integrated with laryngeal cancer specialist characteristics and tumor genetic information. The Web-based integrated clinical database for laryngeal carcinoma has comprehensive specialist information, strong expandability, high feasibility of technique and conforms to the clinical characteristics of laryngeal cancer specialties. Using the clinical data standards and structured handling clinical data, the database can be able to meet the needs of scientific research better and facilitate information exchange, and the information collected and input about the tumor sufferers are very informative. In addition, the user can utilize the Internet to realize the convenient, swift visit and manipulation on the database.

Pediatric palliative care and eHealth opportunities for patient-centered care.

PubMed

Madhavan, Subha; Sanders, Amy E; Chou, Wen-Ying Sylvia; Shuster, Alex; Boone, Keith W; Dente, Mark A; Shad, Aziza T; Hesse, Bradford W

2011-05-01

Pediatric palliative care currently faces many challenges including unnecessary pain from insufficiently personalized treatment, doctor-patient communication breakdowns, and a paucity of usable patient-centric information. Recent advances in informatics for consumer health through eHealth initiatives have the potential to bridge known communication gaps, but overall these technologies remain under-utilized in practice. This paper seeks to identify effective uses of existing and developing health information technology (HIT) to improve communications and care within the clinical setting. A needs analysis was conducted by surveying seven pediatric oncology patients and their extended support network at the Lombardi Pediatric Clinic at Georgetown University Medical Center in May and June of 2010. Needs were mapped onto an existing inventory of emerging HIT technologies to assess what existing informatics solutions could effectively bridge these gaps. Through the patient interviews, a number of communication challenges and needs in pediatric palliative cancer care were identified from the interconnected group perspective surrounding each patient. These gaps mapped well, in most cases, to existing or emerging cyberinfrastructure. However, adoption and adaptation of appropriate technologies could improve, including for patient-provider communication, behavioral support, pain assessment, and education, all through integration within existing work flows. This study provides a blueprint for more optimal use of HIT technologies, effectively utilizing HIT standards-based technology solutions to improve communication. This research aims to further stimulate the development and adoption of interoperable, standardized technologies and delivery of context-sensitive information to substantially improve the quality of care patients receive within pediatric palliative care clinics and other settings. Copyright © 2011 American Journal of Preventive Medicine. All rights reserved.

Automatically identifying health- and clinical-related content in wikipedia.

PubMed

Liu, Feifan; Moosavinasab, Soheil; Agarwal, Shashank; Bennett, Andrew S; Yu, Hong

2013-01-01

Physicians are increasingly using the Internet for finding medical information related to patient care. Wikipedia is a valuable online medical resource to be integrated into existing clinical question answering (QA) systems. On the other hand, Wikipedia contains a full spectrum of world's knowledge and therefore comprises a large partition of non-health-related content, which makes disambiguation more challenging and consequently leads to large overhead for existing systems to effectively filter irrelevant information. To overcome this, we have developed both unsupervised and supervised approaches to identify health-related articles as well as clinically relevant articles. Furthermore, we explored novel features by extracting health related hierarchy from the Wikipedia category network, from which a variety of features were derived and evaluated. Our experiments show promising results and also demonstrate that employing the category hierarchy can effectively improve the system performance.

Preferred information sources for clinical decision making: critical care nurses' perceptions of information accessibility and usefulness.

PubMed

Marshall, Andrea P; West, Sandra H; Aitken, Leanne M

2011-12-01

Variability in clinical practice may result from the use of diverse information sources to guide clinical decisions. In routine clinical practice, nurses privilege information from colleagues over more formal information sources. It is not clear whether similar information-seeking behaviour is exhibited when critical care nurses make decisions about a specific clinical practice, where extensive practice variability exists alongside a developing research base. This study explored the preferred sources of information intensive care nurses used and their perceptions of the accessibility and usefulness of this information for making decisions in clinically uncertain situations specific to enteral feeding practice. An instrumental case study design, incorporating concurrent verbal protocols, Q methodology and focus groups, was used to determine intensive care nurses' perspectives of information use in the resolution of clinical uncertainty. A preference for information from colleagues to support clinical decisions was observed. People as information sources were considered most useful and most accessible in the clinical setting. Text and electronic information sources were seen as less accessible, mainly because of the time required to access the information within the documents. When faced with clinical uncertainty, obtaining information from colleagues allows information to be quickly accessed and applied within the context of a specific clinical presentation. Seeking information from others also provides opportunities for shared decision-making and potential validation of clinical judgment, although differing views may exacerbate clinical uncertainty. The social exchange of clinical information may meet the needs of nurses working in a complex, time-pressured environment but the extent of the evidence base for information passed through verbal communication is unclear. The perceived usefulness and accessibility of information is premised on the ease of use and access and thus the variability in information may be contributing to clinical uncertainty. Copyright ©2011 Sigma Theta Tau International.

Evaluation of pre-existing antibody presence as a risk factor for posttreatment anti-drug antibody induction: analysis of human clinical study data for multiple biotherapeutics.

PubMed

Xue, Li; Rup, Bonita

2013-07-01

Biotherapeutic-reactive antibodies in treatment-naïve subjects (i.e., pre-existing antibodies) have been commonly detected during clinical immunogenicity assessments; however information on pre-existing antibody prevalence, physiological effects, and impact on posttreatment anti-drug antibody (ADA) induction remains limited. In this analysis, pre-existing antibody prevalence and impact on posttreatment ADA induction were determined using ADA data from 12 biotherapeutics analyzed in 32 clinical studies. Approximately half (58%) of the biotherapeutics were associated with some level of pre-existing antibodies and 67% of those were associated with posttreatment ADA induction. Across all studies, 5.6% of study subjects demonstrated presence of pre-existing antibodies, among which, 17% of the individual subjects had posttreatment increases in their ADA titers while 16% had decreased titers and 67% had no change in titers. However, in studies conducted in the rheumatoid arthritis (RA) population, 14.8% of RA patients were associated with pre-existing antibodies and 30% of those had posttreatment titer increases. The results suggest that in most study subjects, pre-existing antibodies pose a low risk for posttreatment ADA induction. That said, the high risk of induction implicated for RA patients, primarily observed in treatments evaluating novel antibody-based constructs, indicates that further understanding of the contribution of product and disease-specific factors is needed. Cross-industry efforts to collect and analyze a larger data set would enhance understanding of the prevalence, nature, and physiological consequences of pre-existing antibodies, better inform the immunogenicity risk profiles of products associated with these antibodies and lead to better fit-for-purpose immunogenicity management and mitigation strategies.

Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents.

PubMed

Topaz, M; Seger, D L; Goss, F; Lai, K; Slight, S P; Lau, J J; Nandigam, H; Zhou, L

2016-01-01

Adverse sensitivity (e.g., allergy and intolerance) information is a critical component of any electronic health record system. While several standards exist for structured entry of adverse sensitivity information, many clinicians record this data as free text. This study aimed to 1) identify and compare the existing common adverse sensitivity information models, and 2) to evaluate the coverage of the adverse sensitivity information models for representing allergy information on a subset of inpatient and outpatient adverse sensitivity clinical notes. We compared four common adverse sensitivity information models: Health Level 7 Allergy and Intolerance Domain Analysis Model, HL7-DAM; the Fast Healthcare Interoperability Resources, FHIR; the Consolidated Continuity of Care Document, C-CDA; and OpenEHR, and evaluated their coverage on a corpus of inpatient and outpatient notes (n = 120). We found that allergy specialists' notes had the highest frequency of adverse sensitivity attributes per note, whereas emergency department notes had the fewest attributes. Overall, the models had many similarities in the central attributes which covered between 75% and 95% of adverse sensitivity information contained within the notes. However, representations of some attributes (especially the value-sets) were not well aligned between the models, which is likely to present an obstacle for achieving data interoperability. Also, adverse sensitivity exceptions were not well represented among the information models. Although we found that common adverse sensitivity models cover a significant portion of relevant information in the clinical notes, our results highlight areas needed to be reconciled between the standards for data interoperability.

A web-based rapid prototyping and clinical conversational system that complements electronic patient record system.

PubMed

Kim, J H; Ferziger, R; Kawaloff, H B; Sands, D Z; Safran, C; Slack, W V

2001-01-01

Even the most extensive hospital information system cannot support all the complex and ever-changing demands associated with a clinical database, such as providing department or personal data forms, and rating scales. Well-designed clinical dialogue programs may facilitate direct interaction of patients with their medical records. Incorporation of extensive and loosely structured clinical data into an existing medical record system is an essential step towards a comprehensive clinical information system, and can best be achieved when the practitioner and the patient directly enter the contents. We have developed a rapid prototyping and clinical conversational system that complements the electronic medical record system, with its generic data structure and standard communication interfaces based on Web technology. We believe our approach can enhance collaboration between consumer-oriented and provider-oriented information systems.

Prediction of clinical behaviour and treatment for cancers.

PubMed

Futschik, Matthias E; Sullivan, Mike; Reeve, Anthony; Kasabov, Nikola

2003-01-01

Prediction of clinical behaviour and treatment for cancers is based on the integration of clinical and pathological parameters. Recent reports have demonstrated that gene expression profiling provides a powerful new approach for determining disease outcome. If clinical and microarray data each contain independent information then it should be possible to combine these datasets to gain more accurate prognostic information. Here, we have used existing clinical information and microarray data to generate a combined prognostic model for outcome prediction for diffuse large B-cell lymphoma (DLBCL). A prediction accuracy of 87.5% was achieved. This constitutes a significant improvement compared to the previously most accurate prognostic model with an accuracy of 77.6%. The model introduced here may be generally applicable to the combination of various types of molecular and clinical data for improving medical decision support systems and individualising patient care.

Self-enrolment antenatal health promotion data as an adjunct to maternal clinical information systems in the Western Cape Province of South Africa

PubMed Central

Heekes, Alexa; Tiffin, Nicki; Dane, Pierre; Mutemaringa, Themba; Smith, Mariette; Zinyakatira, Nesbert; Barron, Peter; Seebregts, Chris; Boulle, Andrew

2018-01-01

Information systems designed to support health promotion in pregnancy, such as the MomConnect programme, are potential sources of clinical information which can be used to identify pregnancies prospectively and early on. In this paper we demonstrate the feasibility and value of linking records collected through the MomConnect programme, to an emergent province-wide health information exchange in the Western Cape Province of South Africa, which already enumerates pregnancies from a range of other clinical data sources. MomConnect registrations were linked to pregnant women known to the public health services using the limited identifiers collected by MomConnect. Three-quarters of MomConnect registrations could be linked to existing pregnant women, decreasing over time as recording of the national identifier decreased. The MomConnect records were usually the first evidence of pregnancy in pregnancies which were subsequently confirmed by other sources. Those at lower risk of adverse pregnancy outcomes were more likely to register. In some cases, MomConnect was the only evidence of pregnancy for a patient. In addition, the MomConnect records provided gestational age information and new and more recently updated contact numbers to the existing contact registry. The pilot integration of the data in the Western Cape Province of South Africa demonstrates how a client-facing system can augment clinical information systems, especially in contexts where electronic medical records are not widely available. PMID:29713507

Self-enrolment antenatal health promotion data as an adjunct to maternal clinical information systems in the Western Cape Province of South Africa.

PubMed

Heekes, Alexa; Tiffin, Nicki; Dane, Pierre; Mutemaringa, Themba; Smith, Mariette; Zinyakatira, Nesbert; Barron, Peter; Seebregts, Chris; Boulle, Andrew

2018-01-01

Information systems designed to support health promotion in pregnancy, such as the MomConnect programme, are potential sources of clinical information which can be used to identify pregnancies prospectively and early on. In this paper we demonstrate the feasibility and value of linking records collected through the MomConnect programme, to an emergent province-wide health information exchange in the Western Cape Province of South Africa, which already enumerates pregnancies from a range of other clinical data sources. MomConnect registrations were linked to pregnant women known to the public health services using the limited identifiers collected by MomConnect. Three-quarters of MomConnect registrations could be linked to existing pregnant women, decreasing over time as recording of the national identifier decreased. The MomConnect records were usually the first evidence of pregnancy in pregnancies which were subsequently confirmed by other sources. Those at lower risk of adverse pregnancy outcomes were more likely to register. In some cases, MomConnect was the only evidence of pregnancy for a patient. In addition, the MomConnect records provided gestational age information and new and more recently updated contact numbers to the existing contact registry. The pilot integration of the data in the Western Cape Province of South Africa demonstrates how a client-facing system can augment clinical information systems, especially in contexts where electronic medical records are not widely available.

Interprofessional education through service-learning: lessons from a student-led free clinic.

PubMed

Farlow, Janice L; Goodwin, Charles; Sevilla, Javier

2015-05-01

The academic community must replicate and strengthen existing models for interprofessional education (IPE) to meet widespread calls for team-based patient-centered care. One effective but under-explored possibility for IPE is through student-led clinics, which now exist in the majority of medical schools. This short report presents the Indiana University Student Outreach Clinic (IU-SOC), which involves seven different professional programs across three institutions, as a model for how IPE can be delivered formally through service learning. Lessons learned, such as nurturing an intentional interprofessional program, structured orientation and reflection, and resource and knowledge sharing between the clinic and academic institutions, can be applied to all student-led clinics, but also can inform other IPE initiatives in health professional curricula.

Computer Decision Support to Improve Autism Screening and Care in Community Pediatric Clinics

ERIC Educational Resources Information Center

Bauer, Nerissa S.; Sturm, Lynne A.; Carroll, Aaron E.; Downs, Stephen M.

2013-01-01

An autism module was added to an existing computer decision support system (CDSS) to facilitate adherence to recommended guidelines for screening for autism spectrum disorders in primary care pediatric clinics. User satisfaction was assessed by survey and informal feedback at monthly meetings between clinical staff and the software team. To assess…

Prospective registration of clinical trials in India: strategies, achievements & challenges.

PubMed

Tharyan, Prathap

2009-02-01

This paper traces the development of the Clinical Trial Registry-India (CTRI) against the backdrop of the inequities in healthcare and the limitations in the design, conduct, regulation, oversight and reporting of clinical trials in India. It describes the scope and goals of the CTRI, the data elements it seeks and the process of registering clinical trials. It reports progress in trial registration in India and discusses the challenges in ensuring that healthcare decisions are informed by all the evidence. A descriptive survey of developments in clinical trial registration in India from publications in the Indian medical literature supplemented by first hand knowledge of these developments and an evaluation of how well clinical trials registered in the CTRI up to 10 January, 2009 comply with the requirements of the CTRI and the World Health Organization's International Clinical Trial Registry (WHO ICTRP). Considerable inequities exist within the Indian health system. Deficiencies in healthcare provision and uneven regulation of, and access to, affordable healthcare co-exists with a large private health system of uneven quality. India is now a preferred destination for outsourced clinical trials but is plagued by poor ethical oversight of the many trial sites and scant information of their existence. The CTRI's vision of conforming to international requirements for transparency and accountability but also using trial registration as a means of improving trial design, conduct and reporting led to the selection of registry-specific dataset items in addition to those endorsed by the WHO ICTRP. Compliance with these requirements is good for the trials currently registered but these trials represent only a fraction of the trials in progress in India. Prospective trial registration is a reality in India. The challenges facing the CTRI include better engagement with key stakeholders to ensure increased prospective registration of clinical trials and utilization of existing legislative opportunities to complement these efforts. © 2009 Blackwell Publishing Asia Pty Ltd and Chinese Cochrane Center, West China Hospital of Sichuan University.

Factors Influencing Successful Use of Information Retrieval Systems by Nurse Practitioner Students

PubMed Central

Rose, Linda; Crabtree, Katherine; Hersh, William

1998-01-01

This study examined whether a relationship exists between selected Nurse Practitioner students' attributes and successful information retrieval as demonstrated by correctly answering clinical questions using an information retrieval system (Medline). One predictor variable, attitude toward current computer technology, was significantly correlated (r =0.43, p ≤ .05) with successful literature searching.

On standardization of basic datasets of electronic medical records in traditional Chinese medicine.

PubMed

Zhang, Hong; Ni, Wandong; Li, Jing; Jiang, Youlin; Liu, Kunjing; Ma, Zhaohui

2017-12-24

Standardization of electronic medical record, so as to enable resource-sharing and information exchange among medical institutions has become inevitable in view of the ever increasing medical information. The current research is an effort towards the standardization of basic dataset of electronic medical records in traditional Chinese medicine. In this work, an outpatient clinical information model and an inpatient clinical information model are created to adequately depict the diagnosis processes and treatment procedures of traditional Chinese medicine. To be backward compatible with the existing dataset standard created for western medicine, the new standard shall be a superset of the existing standard. Thus, the two models are checked against the existing standard in conjunction with 170,000 medical record cases. If a case cannot be covered by the existing standard due to the particularity of Chinese medicine, then either an existing data element is expanded with some Chinese medicine contents or a new data element is created. Some dataset subsets are also created to group and record Chinese medicine special diagnoses and treatments such as acupuncture. The outcome of this research is a proposal of standardized traditional Chinese medicine medical records datasets. The proposal has been verified successfully in three medical institutions with hundreds of thousands of medical records. A new dataset standard for traditional Chinese medicine is proposed in this paper. The proposed standard, covering traditional Chinese medicine as well as western medicine, is expected to be soon approved by the authority. A widespread adoption of this proposal will enable traditional Chinese medicine hospitals and institutions to easily exchange information and share resources. Copyright © 2017. Published by Elsevier B.V.

A review of statistical updating methods for clinical prediction models.

PubMed

Su, Ting-Li; Jaki, Thomas; Hickey, Graeme L; Buchan, Iain; Sperrin, Matthew

2018-01-01

A clinical prediction model is a tool for predicting healthcare outcomes, usually within a specific population and context. A common approach is to develop a new clinical prediction model for each population and context; however, this wastes potentially useful historical information. A better approach is to update or incorporate the existing clinical prediction models already developed for use in similar contexts or populations. In addition, clinical prediction models commonly become miscalibrated over time, and need replacing or updating. In this article, we review a range of approaches for re-using and updating clinical prediction models; these fall in into three main categories: simple coefficient updating, combining multiple previous clinical prediction models in a meta-model and dynamic updating of models. We evaluated the performance (discrimination and calibration) of the different strategies using data on mortality following cardiac surgery in the United Kingdom: We found that no single strategy performed sufficiently well to be used to the exclusion of the others. In conclusion, useful tools exist for updating existing clinical prediction models to a new population or context, and these should be implemented rather than developing a new clinical prediction model from scratch, using a breadth of complementary statistical methods.

The California Clinical Data Project: a case study in the adoption of clinical data standards for quality improvement.

PubMed

Sujansky, Walter; Chang, Sophia

2006-01-01

The California Clinical Data Project is a statewide initiative to remove barriers to the widespread and effective use of information technology to improve chronic disease care. The project is a case study in the development and widespread adoption of clinical data standards by varied and often competing stakeholders. As an initial step, the project defined precise data standards for the batch reporting of pharmacy claims data and laboratory results data. These uniform standards facilitate the flow of existing electronic clinical information into disease registries and electronic health record systems. Pharmacy and lab results data now are being exchanged electronically with this standard among the largest health plans, medical groups, and clinical laboratories participating in California's pay-for-performance programs. Lessons from this project may apply to the development and adoption of data standards for other states and locales and for the emerging national health information infrastructure.

Ubiquitous information for ubiquitous computing: expressing clinical data sets with openEHR archetypes.

PubMed

Garde, Sebastian; Hovenga, Evelyn; Buck, Jasmin; Knaup, Petra

2006-01-01

Ubiquitous computing requires ubiquitous access to information and knowledge. With the release of openEHR Version 1.0 there is a common model available to solve some of the problems related to accessing information and knowledge by improving semantic interoperability between clinical systems. Considerable work has been undertaken by various bodies to standardise Clinical Data Sets. Notwithstanding their value, several problems remain unsolved with Clinical Data Sets without the use of a common model underpinning them. This paper outlines these problems like incompatible basic data types and overlapping and incompatible definitions of clinical content. A solution to this based on openEHR archetypes is motivated and an approach to transform existing Clinical Data Sets into archetypes is presented. To avoid significant overlaps and unnecessary effort during archetype development, archetype development needs to be coordinated nationwide and beyond and also across the various health professions in a formalized process.

System requirements for a computerised patient record information system at a busy primary health care clinic.

PubMed

Blignaut, P J; McDonald, T; Tolmie, C J

2001-05-01

A prototyping approach was used to determine the essential system requirements of a computerised patient record information system for a typical township primary health care clinic. A pilot clinic was identified and the existing manual system and business processes in this clinic was studied intensively before the first prototype was implemented. Interviews with users, incidental observations and analysis of actual data entered were used as primary techniques to refine the prototype system iteratively until a system with an acceptable data set and adequate functionalities were in place. Several non-functional and user-related requirements were also discovered during the prototyping period.

The relational clinical database: a possible solution to the star wars in registry systems.

PubMed

Michels, D K; Zamieroski, M

1990-12-01

In summary, having data from other service areas available in a relational clinical database could resolve many of the problems existing in today's registry systems. Uniting sophisticated information systems into a centralized database system could definitely be a corporate asset in managing the bottom line.

Clinical Decision Support Systems (CDSS) for preventive management of COPD patients.

PubMed

Velickovski, Filip; Ceccaroni, Luigi; Roca, Josep; Burgos, Felip; Galdiz, Juan B; Marina, Nuria; Lluch-Ariet, Magí

2014-11-28

The use of information and communication technologies to manage chronic diseases allows the application of integrated care pathways, and the optimization and standardization of care processes. Decision support tools can assist in the adherence to best-practice medicine in critical decision points during the execution of a care pathway. The objectives are to design, develop, and assess a clinical decision support system (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), which can be easily integrated into a healthcare providers' work-flow. The software architecture model for the CDSS, interoperable clinical-knowledge representation, and inference engine were designed and implemented to form a base CDSS framework. The CDSS functionalities were iteratively developed through requirement-adjustment/development/validation cycles using enterprise-grade software-engineering methodologies and technologies. Within each cycle, clinical-knowledge acquisition was performed by a health-informatics engineer and a clinical-expert team. A suite of decision-support web services for (i) COPD early detection and diagnosis, (ii) spirometry quality-control support, (iii) patient stratification, was deployed in a secured environment on-line. The CDSS diagnostic performance was assessed using a validation set of 323 cases with 90% specificity, and 96% sensitivity. Web services were integrated in existing health information system platforms. Specialized decision support can be offered as a complementary service to existing policies of integrated care for chronic-disease management. The CDSS was able to issue recommendations that have a high degree of accuracy to support COPD case-finding. Integration into healthcare providers' work-flow can be achieved seamlessly through the use of a modular design and service-oriented architecture that connect to existing health information systems.

Clinical Decision Support Systems (CDSS) for preventive management of COPD patients

PubMed Central

2014-01-01

Background The use of information and communication technologies to manage chronic diseases allows the application of integrated care pathways, and the optimization and standardization of care processes. Decision support tools can assist in the adherence to best-practice medicine in critical decision points during the execution of a care pathway. Objectives The objectives are to design, develop, and assess a clinical decision support system (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), which can be easily integrated into a healthcare providers' work-flow. Methods The software architecture model for the CDSS, interoperable clinical-knowledge representation, and inference engine were designed and implemented to form a base CDSS framework. The CDSS functionalities were iteratively developed through requirement-adjustment/development/validation cycles using enterprise-grade software-engineering methodologies and technologies. Within each cycle, clinical-knowledge acquisition was performed by a health-informatics engineer and a clinical-expert team. Results A suite of decision-support web services for (i) COPD early detection and diagnosis, (ii) spirometry quality-control support, (iii) patient stratification, was deployed in a secured environment on-line. The CDSS diagnostic performance was assessed using a validation set of 323 cases with 90% specificity, and 96% sensitivity. Web services were integrated in existing health information system platforms. Conclusions Specialized decision support can be offered as a complementary service to existing policies of integrated care for chronic-disease management. The CDSS was able to issue recommendations that have a high degree of accuracy to support COPD case-finding. Integration into healthcare providers' work-flow can be achieved seamlessly through the use of a modular design and service-oriented architecture that connect to existing health information systems. PMID:25471545

The Long Road to Semantic Interoperability in Support of Public Health: Experiences from Two States

PubMed Central

Vreeman, Daniel J.; Grannis, Shaun J.

2014-01-01

Proliferation of health information technologies creates opportunities to improve clinical and public health, including high quality, safer care and lower costs. To maximize such potential benefits, health information technologies must readily and reliably exchange information with other systems. However, evidence from public health surveillance programs in two states suggests that operational clinical information systems often fail to use available standards, a barrier to semantic interoperability. Furthermore, analysis of existing policies incentivizing semantic interoperability suggests they have limited impact and are fragmented. In this essay, we discuss three approaches for increasing semantic interoperability to support national goals for using health information technologies. A clear, comprehensive strategy requiring collaborative efforts by clinical and public health stakeholders is suggested as a guide for the long road towards better population health data and outcomes. PMID:24680985

The ethical use of existing samples for genome research.

PubMed

Bathe, Oliver F; McGuire, Amy L

2009-10-01

Modern biobanking efforts consist of prospective collections of tissues linked to clinical data for patients who have given informed consent for the research use of their specimens and data, including their DNA. In such efforts, patient autonomy and privacy are well respected because of the prospective nature of the informed consent process. However, one of the richest sources of tissue for research continues to be the millions of archived samples collected by pathology departments during normal clinical care or for research purposes without specific consent for future research or genetic analysis. Because specific consent was not obtained a priori, issues related to individual privacy and autonomy are much more complicated. A framework for accessing these existing samples and related clinical data for research is presented. Archival tissues may be accessed only when there is a reasonable likelihood of generating beneficial and scientifically valid information. To minimize risks, databases containing information related to the tissue and to clinical data should be coded, no personally identifying phenotypic information should be included, and access should be restricted to bona fide researchers for legitimate research purposes. These precautions, if implemented appropriately, should ensure that the research use of archival tissue and data are no more than minimal risk. A waiver of the requirement for informed consent would then be justified if reconsent is shown to be impracticable. A waiver of consent should not be granted, however, if there is a significant risk to privacy, if the proposed research use is inconsistent with the original consent (where there is one), or if the potential harm from a privacy breach is considerable.

Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection.

PubMed

Kasthurirathne, Suranga N; Dixon, Brian E; Gichoya, Judy; Xu, Huiping; Xia, Yuni; Mamlin, Burke; Grannis, Shaun J

2016-04-01

Increased adoption of electronic health records has resulted in increased availability of free text clinical data for secondary use. A variety of approaches to obtain actionable information from unstructured free text data exist. These approaches are resource intensive, inherently complex and rely on structured clinical data and dictionary-based approaches. We sought to evaluate the potential to obtain actionable information from free text pathology reports using routinely available tools and approaches that do not depend on dictionary-based approaches. We obtained pathology reports from a large health information exchange and evaluated the capacity to detect cancer cases from these reports using 3 non-dictionary feature selection approaches, 4 feature subset sizes, and 5 clinical decision models: simple logistic regression, naïve bayes, k-nearest neighbor, random forest, and J48 decision tree. The performance of each decision model was evaluated using sensitivity, specificity, accuracy, positive predictive value, and area under the receiver operating characteristics (ROC) curve. Decision models parameterized using automated, informed, and manual feature selection approaches yielded similar results. Furthermore, non-dictionary classification approaches identified cancer cases present in free text reports with evaluation measures approaching and exceeding 80-90% for most metrics. Our methods are feasible and practical approaches for extracting substantial information value from free text medical data, and the results suggest that these methods can perform on par, if not better, than existing dictionary-based approaches. Given that public health agencies are often under-resourced and lack the technical capacity for more complex methodologies, these results represent potentially significant value to the public health field. Copyright © 2016 Elsevier Inc. All rights reserved.

Personalized Guideline-Based Treatment Recommendations Using Natural Language Processing Techniques.

PubMed

Becker, Matthias; Böckmann, Britta

2017-01-01

Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization. Today, electronic representation of clinical guidelines exists as unstructured text, but is not well-integrated with patient-specific information from electronic health records. Consequently, generic content of the clinical guidelines is accessible, but it is not possible to visualize the position of the patient on the clinical pathway, decision support cannot be provided by personalized guidelines for the next treatment step. The Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) provides common reference terminology as well as the semantic link for combining the pathways and the patient-specific information. This paper proposes a model-based approach to support the development of guideline-compliant pathways combined with patient-specific structured and unstructured information using SNOMED CT. To identify SNOMED CT concepts, a software was developed to extract SNOMED CT codes out of structured and unstructured German data to map these with clinical pathways annotated in accordance with the systematized nomenclature.

WebCIS: large scale deployment of a Web-based clinical information system.

PubMed

Hripcsak, G; Cimino, J J; Sengupta, S

1999-01-01

WebCIS is a Web-based clinical information system. It sits atop the existing Columbia University clinical information system architecture, which includes a clinical repository, the Medical Entities Dictionary, an HL7 interface engine, and an Arden Syntax based clinical event monitor. WebCIS security features include authentication with secure tokens, authorization maintained in an LDAP server, SSL encryption, permanent audit logs, and application time outs. WebCIS is currently used by 810 physicians at the Columbia-Presbyterian center of New York Presbyterian Healthcare to review and enter data into the electronic medical record. Current deployment challenges include maintaining adequate database performance despite complex queries, replacing large numbers of computers that cannot run modern Web browsers, and training users that have never logged onto the Web. Although the raised expectations and higher goals have increased deployment costs, the end result is a far more functional, far more available system.

One practice's experiment in refusing detail rep visits.

PubMed

Evans, David V; Hartung, Daniel M; Andeen, Gabriel; Mahler, Jo; Haxby, Dean G; Kraemer, Dale F; Fagnan, Lyle J

2011-08-01

The physician-pharmaceutical industry relationship has come under increasing scrutiny. Little guidance exists concerning how smaller practices should manage this relationship.In 2006, Madras Medical Group, a small family practice in rural Oregon, implemented a policy prohibiting visits from representatives of the pharmaceutical industry and the acceptance of drug samples. This qualitative study documents the attitudes of clinic personnel in response to this policy. Semistructured interviews were conducted using standardized questions related to 4 areas of policy perception: verification of policy decision, impact on clinic operations,influence of pharmaceutical industry, and lessons to share. Common themes were identified. Three physicians and 3 nurses participated in the study. There was consensus on the existence and effectiveness of the clinic policy. Key themes identified from both groups of interviewees included the perception of enhanced clinic operation after eliminating interruptions from pharmaceutical representatives, positive response from the public, and reduced diversion of samples for personal use. Clinicians interviewed agreed that samples were of questionable benefit,that information obtained from industry representatives was incomplete or of questionable veracity or objectivity, and that it was helpful to substitute other drug information sources and clinic-sponsored lunches for past industry offerings. In this case study, a policy prohibiting pharmaceutical representatives from a small family practice was well accepted and a source of pride among physicians and nurses. Other clinics wishing to enact a similar policy may wish to supplement their efforts by proactively using other sources of drug information.

Privacy and confidentiality in pragmatic clinical trials.

PubMed

McGraw, Deven; Greene, Sarah M; Miner, Caroline S; Staman, Karen L; Welch, Mary Jane; Rubel, Alan

2015-10-01

With pragmatic clinical trials, an opportunity exists to answer important questions about the relative risks, burdens, and benefits of therapeutic interventions. However, concerns about protecting the privacy of this information are significant and must be balanced with the imperative to learn from the data gathered in routine clinical practice. Traditional privacy protections for research uses of identifiable information rely disproportionately on informed consent or authorizations, based on a presumption that this is necessary to fulfill ethical principles of respect for persons. But frequently, the ideal of informed consent is not realized in its implementation. Moreover, the principle of respect for persons—which encompasses their interests in health information privacy—can be honored through other mechanisms. Data anonymization also plays a role in protecting privacy but is not suitable for all research, particularly pragmatic clinical trials. In this article, we explore both the ethical foundation and regulatory framework intended to protect privacy in pragmatic clinical trials. We then review examples of novel approaches to respecting persons in research that may have the added benefit of honoring patient privacy considerations. © The Author(s) 2015.

Candida Pneumonia in Intensive Care Unit?

PubMed Central

Schnabel, Ronny M.; Linssen, Catharina F.; Guion, Nele; van Mook, Walther N.; Bergmans, Dennis C.

2014-01-01

It has been questioned if Candida pneumonia exists as a clinical entity. Only histopathology can establish the definite diagnosis. Less invasive diagnostic strategies lack specificity and have been insufficiently validated. Scarcity of this pathomechanism and nonspecific clinical presentation make validation and the development of a clinical algorithm difficult. In the present study, we analyze whether Candida pneumonia exists in our critical care population. We used a bronchoalveolar lavage (BAL) specimen database that we have built in a structural diagnostic approach to ventilator-associated pneumonia for more than a decade consisting of 832 samples. Microbiological data were linked to clinical information and available autopsy data. We searched for critically ill patients with respiratory failure with no other microbiological or clinical explanation than exclusive presence of Candida species in BAL fluid. Five cases could be identified with Candida as the likely cause of pneumonia. PMID:25734099

Anatomical information in radiation treatment planning.

PubMed

Kalet, I J; Wu, J; Lease, M; Austin-Seymour, M M; Brinkley, J F; Rosse, C

1999-01-01

We report on experience and insights gained from prototyping, for clinical radiation oncologists, a new access tool for the University of Washington Digital Anatomist information resources. This access tool is designed to integrate with a radiation therapy planning (RTP) system in use in a clinical setting. We hypothesize that the needs of practitioners in a clinical setting are different from the needs of students, the original targeted users of the Digital Anatomist system, but that a common knowledge resource can serve both. Our prototype was designed to help define those differences and study the feasibility of a full anatomic reference system that will support both clinical radiation therapy and all the existing educational applications.

Implications of the concept of minimal risk in research on informed choice in clinical practice

PubMed Central

Wada, Kyoko; Nisker, Jeff

2015-01-01

The concept of a minimal risk threshold in research, beneath which exception to informed consent and ethics review processes may occur, has been codified for over 30 years in many national research regulations and by the Council for International Organizations of Medical Sciences. Although minimal risk in research constitutes one of the criteria for allowing waiver of informed consent or modification to the consent process and a large body of literature exists, discussion of a minimal risk threshold in clinical practice has not occurred. One reason for lack of discussion may be that implicit consent is accepted for a wide range of routine clinical practices. Extending the role of minimal risk in research to clinical practice might assist clinicians in identifying circumstances for which implicit consent is indeed sufficient and circumstances in which it is not. Further, concepts from minimal risk in research might assist clinicians regarding when information provision in health promotion is required. We begin by reviewing concepts in both minimal risk in research and informed choice in clinical practice. We then explore how a clinical minimal risk concept may clarify recommendations for information provision in clinical practice and support the patient's informed choice regarding therapeutic and diagnostic procedures and also health promotion. Given that clinical practice involves a broad scope of health information, professional practice guidelines on information provision based on the application of the minimal risk threshold in research could be developed to guide clinicians in what information must be provided to their patients. PMID:26108215

Detailed clinical models: representing knowledge, data and semantics in healthcare information technology.

PubMed

Goossen, William T F

2014-07-01

This paper will present an overview of the developmental effort in harmonizing clinical knowledge modeling using the Detailed Clinical Models (DCMs), and will explain how it can contribute to the preservation of Electronic Health Records (EHR) data. Clinical knowledge modeling is vital for the management and preservation of EHR and data. Such modeling provides common data elements and terminology binding with the intention of capturing and managing clinical information over time and location independent from technology. Any EHR data exchange without an agreed clinical knowledge modeling will potentially result in loss of information. Many attempts exist from the past to model clinical knowledge for the benefits of semantic interoperability using standardized data representation and common terminologies. The objective of each project is similar with respect to consistent representation of clinical data, using standardized terminologies, and an overall logical approach. However, the conceptual, logical, and the technical expressions are quite different in one clinical knowledge modeling approach versus another. There currently are synergies under the Clinical Information Modeling Initiative (CIMI) in order to create a harmonized reference model for clinical knowledge models. The goal for the CIMI is to create a reference model and formalisms based on for instance the DCM (ISO/TS 13972), among other work. A global repository of DCMs may potentially be established in the future.

New opportunities of real-world data from clinical routine settings in life-cycle management of drugs: example of an integrative approach in multiple sclerosis.

PubMed

Rothenbacher, Dietrich; Capkun, Gorana; Uenal, Hatice; Tumani, Hayrettin; Geissbühler, Yvonne; Tilson, Hugh

2015-05-01

The assessment and demonstration of a positive benefit-risk balance of a drug is a life-long process and includes specific data from preclinical, clinical development and post-launch experience. However, new integrative approaches are needed to enrich evidence from clinical trials and sponsor-initiated observational studies with information from multiple additional sources, including registry information and other existing observational data and, more recently, health-related administrative claims and medical records databases. To illustrate the value of this approach, this paper exemplifies such a cross-package approach to the area of multiple sclerosis, exploring also possible analytic strategies when using these multiple sources of information.

Clinical handover of patients arriving by ambulance to the emergency department - a literature review.

PubMed

Bost, Nerolie; Crilly, Julia; Wallis, Marianne; Patterson, Elizabeth; Chaboyer, Wendy

2010-10-01

To provide a critical review of research on clinical handover between the ambulance service and emergency department (ED) in hospitals. Data base and hand searches were conducted using the keywords ambulance, handover, handoff, emergency department, emergency room, ER, communication, and clinical handover. Data were extracted, summarised and critically assessed to provide evidence of current clinical handover processes. From 252 documents, eight studies fitted the inclusion criteria of clinical handover and the ambulance to ED patient transfer. Three themes were identified in the review: (1) important information may be missed during clinical handover; (2) structured handovers that include both written and verbal components may improve information exchange; (3) multidisciplinary education about the clinical handover process may encourage teamwork, a shared common language and a framework for minimum patient information to be transferred from the ambulance service to the hospital ED. Knowledge gaps exist concerning handover information, consequences of poor handover, transfer of responsibility, staff perception of handovers, staff training and evaluation of recommended strategies to improve clinical handover. Evidence of strategies being implemented and further research is required to examine the ongoing effects of implementing the strategies. Copyright © 2009 Elsevier Ltd. All rights reserved.

Archetype-based semantic integration and standardization of clinical data.

PubMed

Moner, David; Maldonado, Jose A; Bosca, Diego; Fernandez, Jesualdo T; Angulo, Carlos; Crespo, Pere; Vivancos, Pedro J; Robles, Montserrat

2006-01-01

One of the basic needs for any healthcare professional is to be able to access to clinical information of patients in an understandable and normalized way. The lifelong clinical information of any person supported by electronic means configures his/her Electronic Health Record (EHR). This information is usually distributed among several independent and heterogeneous systems that may be syntactically or semantically incompatible. The Dual Model architecture has appeared as a new proposal for maintaining a homogeneous representation of the EHR with a clear separation between information and knowledge. Information is represented by a Reference Model which describes common data structures with minimal semantics. Knowledge is specified by archetypes, which are formal representations of clinical concepts built upon a particular Reference Model. This kind of architecture is originally thought for implantation of new clinical information systems, but archetypes can be also used for integrating data of existing and not normalized systems, adding at the same time a semantic meaning to the integrated data. In this paper we explain the possible use of a Dual Model approach for semantic integration and standardization of heterogeneous clinical data sources and present LinkEHR-Ed, a tool for developing archetypes as elements for integration purposes. LinkEHR-Ed has been designed to be easily used by the two main participants of the creation process of archetypes for clinical data integration: the Health domain expert and the Information Technologies domain expert.

Text de-identification for privacy protection: a study of its impact on clinical text information content.

PubMed

Meystre, Stéphane M; Ferrández, Óscar; Friedlin, F Jeffrey; South, Brett R; Shen, Shuying; Samore, Matthew H

2014-08-01

As more and more electronic clinical information is becoming easier to access for secondary uses such as clinical research, approaches that enable faster and more collaborative research while protecting patient privacy and confidentiality are becoming more important. Clinical text de-identification offers such advantages but is typically a tedious manual process. Automated Natural Language Processing (NLP) methods can alleviate this process, but their impact on subsequent uses of the automatically de-identified clinical narratives has only barely been investigated. In the context of a larger project to develop and investigate automated text de-identification for Veterans Health Administration (VHA) clinical notes, we studied the impact of automated text de-identification on clinical information in a stepwise manner. Our approach started with a high-level assessment of clinical notes informativeness and formatting, and ended with a detailed study of the overlap of select clinical information types and Protected Health Information (PHI). To investigate the informativeness (i.e., document type information, select clinical data types, and interpretation or conclusion) of VHA clinical notes, we used five different existing text de-identification systems. The informativeness was only minimally altered by these systems while formatting was only modified by one system. To examine the impact of de-identification on clinical information extraction, we compared counts of SNOMED-CT concepts found by an open source information extraction application in the original (i.e., not de-identified) version of a corpus of VHA clinical notes, and in the same corpus after de-identification. Only about 1.2-3% less SNOMED-CT concepts were found in de-identified versions of our corpus, and many of these concepts were PHI that was erroneously identified as clinical information. To study this impact in more details and assess how generalizable our findings were, we examined the overlap between select clinical information annotated in the 2010 i2b2 NLP challenge corpus and automatic PHI annotations from our best-of-breed VHA clinical text de-identification system (nicknamed 'BoB'). Overall, only 0.81% of the clinical information exactly overlapped with PHI, and 1.78% partly overlapped. We conclude that automated text de-identification's impact on clinical information is small, but not negligible, and that improved clinical acronyms and eponyms disambiguation could significantly reduce this impact. Copyright © 2014 Elsevier Inc. All rights reserved.

A proposed clinical decision support architecture capable of supporting whole genome sequence information.

PubMed

Welch, Brandon M; Loya, Salvador Rodriguez; Eilbeck, Karen; Kawamoto, Kensaku

2014-04-04

Whole genome sequence (WGS) information may soon be widely available to help clinicians personalize the care and treatment of patients. However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. Clinical decision support (CDS) offers a potential solution to overcome such barriers and to facilitate the effective use of WGS information in the clinic. However, genomic information is complex and will require significant considerations when developing CDS capabilities. As such, this manuscript lays out a conceptual framework for a CDS architecture designed to deliver WGS-guided CDS within the clinical workflow. To handle the complexity and breadth of WGS information, the proposed CDS framework leverages service-oriented capabilities and orchestrates the interaction of several independently-managed components. These independently-managed components include the genome variant knowledge base, the genome database, the CDS knowledge base, a CDS controller and the electronic health record (EHR). A key design feature is that genome data can be stored separately from the EHR. This paper describes in detail: (1) each component of the architecture; (2) the interaction of the components; and (3) how the architecture attempts to overcome the challenges associated with WGS information. We believe that service-oriented CDS capabilities will be essential to using WGS information for personalized medicine.

A Proposed Clinical Decision Support Architecture Capable of Supporting Whole Genome Sequence Information

PubMed Central

Welch, Brandon M.; Rodriguez Loya, Salvador; Eilbeck, Karen; Kawamoto, Kensaku

2014-01-01

Whole genome sequence (WGS) information may soon be widely available to help clinicians personalize the care and treatment of patients. However, considerable barriers exist, which may hinder the effective utilization of WGS information in a routine clinical care setting. Clinical decision support (CDS) offers a potential solution to overcome such barriers and to facilitate the effective use of WGS information in the clinic. However, genomic information is complex and will require significant considerations when developing CDS capabilities. As such, this manuscript lays out a conceptual framework for a CDS architecture designed to deliver WGS-guided CDS within the clinical workflow. To handle the complexity and breadth of WGS information, the proposed CDS framework leverages service-oriented capabilities and orchestrates the interaction of several independently-managed components. These independently-managed components include the genome variant knowledge base, the genome database, the CDS knowledge base, a CDS controller and the electronic health record (EHR). A key design feature is that genome data can be stored separately from the EHR. This paper describes in detail: (1) each component of the architecture; (2) the interaction of the components; and (3) how the architecture attempts to overcome the challenges associated with WGS information. We believe that service-oriented CDS capabilities will be essential to using WGS information for personalized medicine. PMID:25411644

An Ontology-based Architecture for Integration of Clinical Trials Management Applications

PubMed Central

Shankar, Ravi D.; Martins, Susana B.; O’Connor, Martin; Parrish, David B.; Das, Amar K.

2007-01-01

Management of complex clinical trials involves coordinated-use of a myriad of software applications by trial personnel. The applications typically use distinct knowledge representations and generate enormous amount of information during the course of a trial. It becomes vital that the applications exchange trial semantics in order for efficient management of the trials and subsequent analysis of clinical trial data. Existing model-based frameworks do not address the requirements of semantic integration of heterogeneous applications. We have built an ontology-based architecture to support interoperation of clinical trial software applications. Central to our approach is a suite of clinical trial ontologies, which we call Epoch, that define the vocabulary and semantics necessary to represent information on clinical trials. We are continuing to demonstrate and validate our approach with different clinical trials management applications and with growing number of clinical trials. PMID:18693919

Requirements for clinical information modelling tools.

PubMed

Moreno-Conde, Alberto; Jódar-Sánchez, Francisco; Kalra, Dipak

2015-07-01

This study proposes consensus requirements for clinical information modelling tools that can support modelling tasks in medium/large scale institutions. Rather than identify which functionalities are currently available in existing tools, the study has focused on functionalities that should be covered in order to provide guidance about how to evolve the existing tools. After identifying a set of 56 requirements for clinical information modelling tools based on a literature review and interviews with experts, a classical Delphi study methodology was applied to conduct a two round survey in order to classify them as essential or recommended. Essential requirements are those that must be met by any tool that claims to be suitable for clinical information modelling, and if we one day have a certified tools list, any tool that does not meet essential criteria would be excluded. Recommended requirements are those more advanced requirements that may be met by tools offering a superior product or only needed in certain modelling situations. According to the answers provided by 57 experts from 14 different countries, we found a high level of agreement to enable the study to identify 20 essential and 21 recommended requirements for these tools. It is expected that this list of identified requirements will guide developers on the inclusion of new basic and advanced functionalities that have strong support by end users. This list could also guide regulators in order to identify requirements that could be demanded of tools adopted within their institutions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Data Recycling: Using Existing Databases to Increase Research Capacity in Speech-Language Development and Disorders

ERIC Educational Resources Information Center

Justice, Laura M.; Breit-Smith, Allison; Rogers, Margaret

2010-01-01

Purpose: This clinical forum was organized to provide a means for informing the research and clinical communities of one mechanism through which research capacity might be enhanced within the field of speech-language pathology. Specifically, forum authors describe the process of conducting secondary analyses of extant databases to answer questions…

Clinical and Para Clinical Information Needs of Infertility Electronic Health Records in Iran: A Delphi Study.

PubMed

Farzandipour, Mehrdad; Jeddi, Fateme Rangraz; Gilasi, Hamid Reza; Shirzadi, Diana

2017-09-01

infertility is referred to the person's inability to conceive pregnancy after one year of intercourse without using protection. This study paves the ground for creating a complete, united, and coherent source of patients' medical information. this is an applied research of descriptive-cross sectional type which has been carried out through qualitative - quantitative methods. The sample of the present study was 50 specialists in the field of infertility which has been chosen based on purposive sampling method. Designing the questionnaire was done based on library studies and Gathering experts' views was done based on Delphi technique. 261 items from clinical and Para clinical information of infertile patients' electronic health records were subjected to an opinion poll by experts. During this process 223 items were accepted and 38 items have been rejected after two sessions of surveys by infertility experts. Para clinical information section consisted of 57 items that all of them have been accepted by the experts. Also, clinical information section consisted of 242 items from which 204 items were accepted and 38 items were rejected by the experts. existence of a structured electronic record system of infertile patients' information leads to the integration of patients' information, improvement of health care services and a decrease in treatment costs: all working to increase information safety. Furthermore, only essential and relevant information would be provided for the specialists and it will facilitate and direct the future infertility related studies due to the coherence, unity and relevance of the information.

Can a patient smart card improve decision making in a clinical setting?.

PubMed

Bérubé, J; Papillon, M J; Lavoie, G; Durant, P; Fortin, J P

1995-01-01

In the health field, clinical information is the raw material for the clinician delivering health services. Therefore, the clinical information available to the physician is often incomplete or even non¿existent upon consultation. Furthermore, the reconstruction of the medical history, which is the most important source of data for the clinician to establish a diagnosis and initiate a treatment, suffers from many constraints. The smart card, like the one used in Quebec's project, could ease the physician's decision-making by allowing fast access to accurate and pertinent data. The smart card is a major asset in the present health system.

An evaluation of multimedia and online support groups (OSG) contents and application of information by infertile patients: Mixed method study

NASA Astrophysics Data System (ADS)

Wiweko, Budi; Narasati, Shabrina; Agung, Prince Gusti; Zesario, Aulia; Wibawa, Yohanes Satrya; Maidarti, Mila; Harzif, Achmad Kemal; Pratama, Gita; Sumapradja, Kanadi; Muharam, Raden; Hestiantoro, Andon

2018-02-01

Background: The presence of Online Support Groups (OSG) is expected to empower patients with infertility, thus allowing patients to be the focus of healthcare services. This study will evaluate multimedia content, OSG, and utilization of information for decision-making by patients using infertility services. This study is a mixed method study conducted from January - June 2016 at Yasmin IVF Clinic, Dr. Cipto Mangunkusumo General Hospital; and SMART IVF Clinic, Jakarta. The subjects are patients with infertility who sought treatment at the clinics. Data was collected through a structured interview in the form of a questionnaire. Informed consent was obtained from all individual participants included in the study. All procedures that performed in studies were by the ethical standards of the institutional. The result from 72 respondents showed quantitative analysis did not reveal any association between multimedia and OSG information sources with patient knowledge regarding infertility management. However, qualitative analysis highlighted three issues: the information regarding infertility services in the available multimedia and the OSG; use of the available information by patients when deciding to use infertility services. The level of awareness of respondents on searching information regarding infertility on the clinic website is still limited. It happened because most of the patients in the clinic are unaware of clinic website existence which provided the infertility information. Therefore, the clinic website needs to be promoted so the usage of this website will increase in the future.

Factors shaping effective utilization of health information technology in urban safety-net clinics.

PubMed

George, Sheba; Garth, Belinda; Fish, Allison; Baker, Richard

2013-09-01

Urban safety-net clinics are considered prime targets for the adoption of health information technology innovations; however, little is known about their utilization in such safety-net settings. Current scholarship provides limited guidance on the implementation of health information technology into safety-net settings as it typically assumes that adopting institutions have sufficient basic resources. This study addresses this gap by exploring the unique challenges urban resource-poor safety-net clinics must consider when adopting and utilizing health information technology. In-depth interviews (N = 15) were used with key stakeholders (clinic chief executive officers, medical directors, nursing directors, chief financial officers, and information technology directors) from staff at four clinics to explore (a) nonhealth information technology-related clinic needs, (b) how health information technology may provide solutions, and (c) perceptions of and experiences with health information technology. Participants identified several challenges, some of which appear amenable to health information technology solutions. Also identified were requirements for effective utilization of health information technology including physical infrastructural improvements, funding for equipment/training, creation of user groups to share health information technology knowledge/experiences, and specially tailored electronic billing guidelines. We found that despite the potential benefit that can be derived from health information technologies, the unplanned and uninformed introduction of these tools into these settings might actually create more problems than are solved. From these data, we were able to identify a set of factors that should be considered when integrating health information technology into the existing workflows of low-resourced urban safety-net clinics in order to maximize their utilization and enhance the quality of health care in such settings.

Prevalence Estimation of Protected Health Information in Swedish Clinical Text.

PubMed

Henriksson, Aron; Kvist, Maria; Dalianis, Hercules

2017-01-01

Obscuring protected health information (PHI) in the clinical text of health records facilitates the secondary use of healthcare data in a privacy-preserving manner. Although automatic de-identification of clinical text using machine learning holds much promise, little is known about the relative prevalence of PHI in different types of clinical text and whether there is a need for domain adaptation when learning predictive models from one particular domain and applying it to another. In this study, we address these questions by training a predictive model and using it to estimate the prevalence of PHI in clinical text written (1) in different clinical specialties, (2) in different types of notes (i.e., under different headings), and (3) by persons in different professional roles. It is demonstrated that the overall PHI density is 1.57%; however, substantial differences exist across domains.

Towards Data Value-Level Metadata for Clinical Studies.

PubMed

Zozus, Meredith Nahm; Bonner, Joseph

2017-01-01

While several standards for metadata describing clinical studies exist, comprehensive metadata to support traceability of data from clinical studies has not been articulated. We examine uses of metadata in clinical studies. We examine and enumerate seven sources of data value-level metadata in clinical studies inclusive of research designs across the spectrum of the National Institutes of Health definition of clinical research. The sources of metadata inform categorization in terms of metadata describing the origin of a data value, the definition of a data value, and operations to which the data value was subjected. The latter is further categorized into information about changes to a data value, movement of a data value, retrieval of a data value, and data quality checks, constraints or assessments to which the data value was subjected. The implications of tracking and managing data value-level metadata are explored.

Personal medical information system using laser card

NASA Astrophysics Data System (ADS)

Cho, Seong H.; Kim, Keun Ho; Choi, Hyung-Sik; Park, Hyun Wook

1996-04-01

The well-known hospital information system (HIS) and the picture archiving and communication system (PACS) are typical applications of multimedia to medical area. This paper proposes a personal medical information save-and-carry system using a laser card. This laser card is very useful, especially in emergency situations, because the medical information in the laser card can be read at anytime and anywhere if there exists a laser card reader/writer. The contents of the laser card include the clinical histories of a patient such as clinical chart, exam result, diagnostic reports, images, and so on. The purpose of this system is not a primary diagnosis, but emergency reference of clinical history of the patient. This personal medical information system consists of a personal computer integrated with laser card reader/writer, color frame grabber, color CCD camera and a high resolution image scanner optionally. Window-based graphical user interface was designed for easy use. The laser card has relatively sufficient capacity to store the personal medical information, and has fast access speed to restore and load the data with a portable size as compact as a credit card. Database items of laser card provide the doctors with medical data such as laser card information, patient information, clinical information, and diagnostic result information.

Detecting Protected Health Information in Heterogeneous Clinical Notes.

PubMed

Henriksson, Aron; Kvist, Maria; Dalianis, Hercules

2017-01-01

To enable secondary use of healthcare data in a privacy-preserving manner, there is a need for methods capable of automatically identifying protected health information (PHI) in clinical text. To that end, learning predictive models from labeled examples has emerged as a promising alternative to rule-based systems. However, little is known about differences with respect to PHI prevalence in different types of clinical notes and how potential domain differences may affect the performance of predictive models trained on one particular type of note and applied to another. In this study, we analyze the performance of a predictive model trained on an existing PHI corpus of Swedish clinical notes and applied to a variety of clinical notes: written (i) in different clinical specialties, (ii) under different headings, and (iii) by persons in different professions. The results indicate that domain adaption is needed for effective detection of PHI in heterogeneous clinical notes.

Does informed consent given by healthy individuals when enrolling in clinical research feel less voluntary than for ill individuals?

PubMed

Roberts, Laura; Kim, Jane Paik

2018-04-30

Clinical research is predicated ethically on the authentic voluntarism of individuals who choose to enroll in human studies. Existing literature has focused on aspects of informed consent for clinical research other than voluntarism. The objective of this study was to compare the perspectives of clinical research participants who are in good health and who are ill regarding voluntarism-related aspects of informed consent and to assess situational influences that enable voluntarism in the process of obtaining clinical research consent. A 23-item written survey, the Informed Consent Questionnaire (ICQ), was administered in a "piggyback" semi-structured interview study of ill and healthy volunteers enrolled in IRB-approved clinical research studies. A total of 150 (60 mentally ill, 43 physically ill, and 47 healthy) clinical research participants participated. Respondents expressed positive views of their experiences with the informed consent processes for their respective clinical research protocols and respondents strongly endorsed items related to voluntarism irrespective of their illness type (range of means = [3.9, 4.8]). Ill participants more highly endorsed items relating to informed consent conditions (mentally ill vs healthy: 0.54 on a 5-point scale, P value = 0.01) (physically ill vs. healthy: 0.47 on a 5-point scale, P value = 0.01). The favorable views of clinical research participants regarding their experience of giving informed consent to enroll in a study were not surprising. Contrary to our a priori hypothesis, healthy individuals did not feel as positively as their ill counterparts. Copyright © 2018 Elsevier Ltd. All rights reserved.

A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.

PubMed

Huang, Zhengxing; Dong, Wei; Duan, Huilong; Liu, Jiquan

2018-05-01

Acute coronary syndrome (ACS), as a common and severe cardiovascular disease, is a leading cause of death and the principal cause of serious long-term disability globally. Clinical risk prediction of ACS is important for early intervention and treatment. Existing ACS risk scoring models are based mainly on a small set of hand-picked risk factors and often dichotomize predictive variables to simplify the score calculation. This study develops a regularized stacked denoising autoencoder (SDAE) model to stratify clinical risks of ACS patients from a large volume of electronic health records (EHR). To capture characteristics of patients at similar risk levels, and preserve the discriminating information across different risk levels, two constraints are added on SDAE to make the reconstructed feature representations contain more risk information of patients, which contribute to a better clinical risk prediction result. We validate our approach on a real clinical dataset consisting of 3464 ACS patient samples. The performance of our approach for predicting ACS risk remains robust and reaches 0.868 and 0.73 in terms of both AUC and accuracy, respectively. The obtained results show that the proposed approach achieves a competitive performance compared to state-of-the-art models in dealing with the clinical risk prediction problem. In addition, our approach can extract informative risk factors of ACS via a reconstructive learning strategy. Some of these extracted risk factors are not only consistent with existing medical domain knowledge, but also contain suggestive hypotheses that could be validated by further investigations in the medical domain.

Informing Patients About Placebo Effects: Using Evidence, Theory, and Qualitative Methods to Develop a New Website.

PubMed

Greville-Harris, Maddy; Bostock, Jennifer; Din, Amy; Graham, Cynthia A; Lewith, George; Liossi, Christina; O'Riordan, Tim; White, Peter; Yardley, Lucy; Bishop, Felicity L

2016-06-10

According to established ethical principles and guidelines, patients in clinical trials should be fully informed about the interventions they might receive. However, information about placebo-controlled clinical trials typically focuses on the new intervention being tested and provides limited and at times misleading information about placebos. We aimed to create an informative, scientifically accurate, and engaging website that could be used to improve understanding of placebo effects among patients who might be considering taking part in a placebo-controlled clinical trial. Our approach drew on evidence-, theory-, and person-based intervention development. We used existing evidence and theory about placebo effects to develop content that was scientifically accurate. We used existing evidence and theory of health behavior to ensure our content would be communicated persuasively, to an audience who might currently be ignorant or misinformed about placebo effects. A qualitative 'think aloud' study was conducted in which 10 participants viewed prototypes of the website and spoke their thoughts out loud in the presence of a researcher. The website provides information about 10 key topics and uses text, evidence summaries, quizzes, audio clips of patients' stories, and a short film to convey key messages. Comments from participants in the think aloud study highlighted occasional misunderstandings and off-putting/confusing features. These were addressed by modifying elements of content, style, and navigation to improve participants' experiences of using the website. We have developed an evidence-based website that incorporates theory-based techniques to inform members of the public about placebos and placebo effects. Qualitative research ensured our website was engaging and convincing for our target audience who might not perceive a need to learn about placebo effects. Before using the website in clinical trials, it is necessary to test its effects on key outcomes including patients' knowledge and capacity for making informed choices about placebos.

Informing Patients About Placebo Effects: Using Evidence, Theory, and Qualitative Methods to Develop a New Website

PubMed Central

Greville-Harris, Maddy; Bostock, Jennifer; Din, Amy; Graham, Cynthia A; Lewith, George; Liossi, Christina; O’Riordan, Tim; White, Peter; Yardley, Lucy

2016-01-01

Background According to established ethical principles and guidelines, patients in clinical trials should be fully informed about the interventions they might receive. However, information about placebo-controlled clinical trials typically focuses on the new intervention being tested and provides limited and at times misleading information about placebos. Objective We aimed to create an informative, scientifically accurate, and engaging website that could be used to improve understanding of placebo effects among patients who might be considering taking part in a placebo-controlled clinical trial. Methods Our approach drew on evidence-, theory-, and person-based intervention development. We used existing evidence and theory about placebo effects to develop content that was scientifically accurate. We used existing evidence and theory of health behavior to ensure our content would be communicated persuasively, to an audience who might currently be ignorant or misinformed about placebo effects. A qualitative ‘think aloud’ study was conducted in which 10 participants viewed prototypes of the website and spoke their thoughts out loud in the presence of a researcher. Results The website provides information about 10 key topics and uses text, evidence summaries, quizzes, audio clips of patients’ stories, and a short film to convey key messages. Comments from participants in the think aloud study highlighted occasional misunderstandings and off-putting/confusing features. These were addressed by modifying elements of content, style, and navigation to improve participants’ experiences of using the website. Conclusions We have developed an evidence-based website that incorporates theory-based techniques to inform members of the public about placebos and placebo effects. Qualitative research ensured our website was engaging and convincing for our target audience who might not perceive a need to learn about placebo effects. Before using the website in clinical trials, it is necessary to test its effects on key outcomes including patients’ knowledge and capacity for making informed choices about placebos. PMID:27288271

Sex differences in physician salary in U.S. public medical schools

PubMed Central

Jena, Anupam B.; Olenski, Andrew R.; Blumenthal, Daniel M.

2017-01-01

Importance Limited evidence exists on salary differences between male and female academic physicians, largely due to difficulty obtaining data on salary and factors influencing salary. Existing studies have been limited by reliance on survey-based approaches to measuring sex differences in earnings, lack of contemporary data, small sample sizes, or limited geographic representation. Objective To analyze sex differences in earnings among U.S. academic physicians. Design, setting, and participants Freedom of Information laws mandate release of salary information of public university employees in several states. In 12 states with salary information published online, we extracted salary data on 10,241 academic physicians at 24 public medical schools. We linked this data to a unique physician database with detailed information on sex, age, years of experience, faculty rank, specialty, scientific authorship, NIH funding, clinical trial participation, and Medicare reimbursements (proxy for clinical revenue). We estimated sex differences in salary adjusting for these factors. Exposure Physician sex Main outcome measures Annual salary Results Female physicians had lower unadjusted salaries than male physicians ($206,641 vs. $257,957; difference $51,315; 95% CI $46,330–$56,301). Sex differences persisted after multivariable adjustment ($227,782 vs. $247,661; difference $19,878; 95% CI $15,261–$24,495). Sex differences in salary varied across specialties, institutions, and faculty ranks. Female full and associate professors had comparable adjusted salaries to those of male associate and assistant professors, respectively. Conclusions and relevance Among physicians with faculty appointments at 24 U.S. public medical schools, significant sex differences in salary exist even after accounting for age, experience, specialty, faculty rank, and measures of research productivity and clinical revenue. PMID:27400435

Demonstration of SLUMIS: a clinical database and management information system for a multi organ transplant program.

PubMed Central

Kurtz, M.; Bennett, T.; Garvin, P.; Manuel, F.; Williams, M.; Langreder, S.

1991-01-01

Because of the rapid evolution of the heart, heart/lung, liver, kidney and kidney/pancreas transplant programs at our institution, and because of a lack of an existing comprehensive database, we were required to develop a computerized management information system capable of supporting both clinical and research requirements of a multifaceted transplant program. SLUMIS (ST. LOUIS UNIVERSITY MULTI-ORGAN INFORMATION SYSTEM) was developed for the following reasons: 1) to comply with the reporting requirements of various transplant registries, 2) for reporting to an increasing number of government agencies and insurance carriers, 3) to obtain updates of our operative experience at regular intervals, 4) to integrate the Histocompatibility and Immunogenetics Laboratory (HLA) for online test result reporting, and 5) to facilitate clinical investigation. PMID:1807741

Ethics of clinical trials.

PubMed

Palter, S F

1996-05-01

The modern clinical trial is a form of human experimentation. There is a long history of disregard for individual rights of the patient in this context, and special attention must be paid to ethical guidelines for these studies. Clinical trials differ in basic ways from clinical practice. Foremost is the introduction of outside interests, beyond those of the patient's health, into the doctor-patient therapeutic alliance. Steps must be taken to protect the interests of the patient when such outside influence exists. Kantian moral theory and the Hippocratic oath dictate that the physician must respect the individual patient's rights and hold such interests paramount. These principles are the basis for informed consent. Randomization of patients is justified when a condition of equipoise exists. The changing nature of health care delivery in the United States introduces new outside interests into the doctor-patient relationship.

Developmental procedures for the clinical practice guidelines for conscious sedation in dentistry for the Korean Academy of Dental Sciences.

PubMed

An, So-Youn; Seo, Kwang-Suk; Kim, Seungoh; Kim, Jongbin; Lee, Deok-Won; Hwang, Kyung-Gyun; Kim, Hyun Jeong

2016-12-01

Evidence-based clinical practice guidelines (CPGs) are defined as "statements that are scientifically reviewed about evidence and systematically developed to assist in the doctors' and patients' decision making in certain clinical situations." This recommendation aims to promote good clinical practice for the provision of safe and effective practices of conscious sedation in dentistry. The development of this clinical practice guideline was conducted by performing a systematic search of the literature for evidence-based CPGs. Existing guidelines, relevant systematic reviews, policy documents, legislation, or other recommendations were reviewed and appraised. To supplement this information, key questions were formulated by the Guideline Development Group and used as the basis for designing systematic literature search strategies to identify literature that may address these questions. Guideline documents were evaluated through a review of domestic and international databases for the development of a renewing of existing conscious sedation guidelines for dentistry. Clinical practice guidelines were critically appraised for their methodologies using Appraisal of guidelines for research and evaluation (AGREE) II. A total of 12 existing CPGs were included and 13 recommendations were made in a range of general, adult, and pediatric areas. The clinical practice guidelines for conscious sedation will be reviewed in 5 years' time for further updates to reflect significant changes in the field.

An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information

NASA Astrophysics Data System (ADS)

Melendez, Jaime; Sánchez, Clara I.; Philipsen, Rick H. H. M.; Maduskar, Pragnya; Dawson, Rodney; Theron, Grant; Dheda, Keertan; van Ginneken, Bram

2016-04-01

Lack of human resources and radiological interpretation expertise impair tuberculosis (TB) screening programmes in TB-endemic countries. Computer-aided detection (CAD) constitutes a viable alternative for chest radiograph (CXR) reading. However, no automated techniques that exploit the additional clinical information typically available during screening exist. To address this issue and optimally exploit this information, a machine learning-based combination framework is introduced. We have evaluated this framework on a database containing 392 patient records from suspected TB subjects prospectively recruited in Cape Town, South Africa. Each record comprised a CAD score, automatically computed from a CXR, and 12 clinical features. Comparisons with strategies relying on either CAD scores or clinical information alone were performed. Our results indicate that the combination framework outperforms the individual strategies in terms of the area under the receiving operating characteristic curve (0.84 versus 0.78 and 0.72), specificity at 95% sensitivity (49% versus 24% and 31%) and negative predictive value (98% versus 95% and 96%). Thus, it is believed that combining CAD and clinical information to estimate the risk of active disease is a promising tool for TB screening.

Evolution of a Patient Information Management System in a Local Area Network Environment at Loyola University of Chicago Medical Center

PubMed Central

Price, Ronald N; Chandrasekhar, Arcot J; Tamirisa, Balaji

1990-01-01

The Department of Medicine at Loyola University Medical Center (LUMC) of Chicago has implemented a local area network (LAN) based Patient Information Management System (PIMS) as part of its integrated departmental database management system. PIMS consists of related database applications encompassing demographic information, current medications, problem lists, clinical data, prior events, and on-line procedure results. Integration into the existing departmental database system permits PIMS to capture and manipulate data in other departmental applications. Standardization of clinical data is accomplished through three data tables that verify diagnosis codes, procedures codes and a standardized set of clinical data elements. The modularity of the system, coupled with standardized data formats, allowed the development of a Patient Information Protocol System (PIPS). PIPS, a userdefinable protocol processor, provides physicians with individualized data entry or review screens customized for their specific research protocols or practice habits. Physician feedback indicates that the PIMS/PIPS combination enhances their ability to collect and review specific patient information by filtering large amount of clinical data.

Evidence-informed massage therapy - an Australian practitioner perspective.

PubMed

Ooi, Soo Liang; Smith, Lauren; Pak, Sok Cheon

2018-05-01

Massage therapy (MT) is the most popular complementary and alternative medicine therapy used by the Australian public. With the growing emphasis by the Australian health authority on evidence-informed healthcare decision-making, there is an increasing demand for massage therapists to move towards the evidence-informed practice (EIP). With MT research gaining significant attention over the last 30 years, clinical evidence exists to support the efficacies of MT on many health conditions, including chronic low back pain. This growing body of research supports MT to become an evidence-informed therapeutic modality. The evidence utilization process of asking clinical questions, searching for available research evidence, and appraising the evidence critically can be incorporated into the clinical practice of MT. Moreover, integrating practitioners' skills and experience with research evidence enables the best treatment plan to address the clients' needs and stated goals. No dichotomy exists between scientific research and the humanistic client care of MT. A massage therapist can gain greater confidence in practice, improve critical thinking and decision-making skills, and increase career satisfaction through EIP. Despite its high public utilization, massage therapists in Australia remain a low-paying profession dominated by part-time workers who rarely utilize research evidence in practice. Professional associations of massage therapists in Australia need to play a key role in promoting EIP through continuing professional education, providing the access to research information and resources, as well as fostering a culture of EIP. Copyright © 2018 Elsevier Ltd. All rights reserved.

[Modeling in value-based medicine].

PubMed

Neubauer, A S; Hirneiss, C; Kampik, A

2010-03-01

Modeling plays an important role in value-based medicine (VBM). It allows decision support by predicting potential clinical and economic consequences, frequently combining different sources of evidence. Based on relevant publications and examples focusing on ophthalmology the key economic modeling methods are explained and definitions are given. The most frequently applied model types are decision trees, Markov models, and discrete event simulation (DES) models. Model validation includes besides verifying internal validity comparison with other models (external validity) and ideally validation of its predictive properties. The existing uncertainty with any modeling should be clearly stated. This is true for economic modeling in VBM as well as when using disease risk models to support clinical decisions. In economic modeling uni- and multivariate sensitivity analyses are usually applied; the key concepts here are tornado plots and cost-effectiveness acceptability curves. Given the existing uncertainty, modeling helps to make better informed decisions than without this additional information.

Data linkage between existing healthcare databases to support hospital epidemiology.

PubMed

García Álvarez, L; Aylin, P; Tian, J; King, C; Catchpole, M; Hassall, S; Whittaker-Axon, K; Holmes, A

2011-11-01

Enhancing the use of existing datasets within acute hospitals will greatly facilitate hospital epidemiology, surveillance, the monitoring of a variety of processes, outcomes and risk factors, and the provision of alert systems. Multiple overlapping data systems exist within National Health Service (NHS) hospitals in the UK, and many duplicate data recordings take place because of the lack of linkage and interfaces. This results in hospital-collected data not being used efficiently. The objective was to create an inventory of all existing systems, including administrative, management, human resources, microbiology, patient care and other platforms, to describe the data architecture that could contribute valuable information for a hospital epidemiology unit. These datasets were investigated as to how they could be used to generate surveillance data, key performance indicators and risk information that could be shared at board, clinical programme group, specialty and ward level. An example of an output of this integrated data platform and its application in influenza resilience planning and responsiveness is described. The development of metrics for staff absence and staffing levels may also be used as key indicators for risk-monitoring for infection prevention. This work demonstrates the value of such a data inventory and linkage and the importance of more sophisticated uses of existing NHS data, and innovative collaborative approaches to support clinical care, quality improvement, surveillance, emergency planning and research. Copyright © 2011 The Healthcare Infection Society. All rights reserved.

Standards for Clinical Grade Genomic Databases.

PubMed

Yohe, Sophia L; Carter, Alexis B; Pfeifer, John D; Crawford, James M; Cushman-Vokoun, Allison; Caughron, Samuel; Leonard, Debra G B

2015-11-01

Next-generation sequencing performed in a clinical environment must meet clinical standards, which requires reproducibility of all aspects of the testing. Clinical-grade genomic databases (CGGDs) are required to classify a variant and to assist in the professional interpretation of clinical next-generation sequencing. Applying quality laboratory standards to the reference databases used for sequence-variant interpretation presents a new challenge for validation and curation. To define CGGD and the categories of information contained in CGGDs and to frame recommendations for the structure and use of these databases in clinical patient care. Members of the College of American Pathologists Personalized Health Care Committee reviewed the literature and existing state of genomic databases and developed a framework for guiding CGGD development in the future. Clinical-grade genomic databases may provide different types of information. This work group defined 3 layers of information in CGGDs: clinical genomic variant repositories, genomic medical data repositories, and genomic medicine evidence databases. The layers are differentiated by the types of genomic and medical information contained and the utility in assisting with clinical interpretation of genomic variants. Clinical-grade genomic databases must meet specific standards regarding submission, curation, and retrieval of data, as well as the maintenance of privacy and security. These organizing principles for CGGDs should serve as a foundation for future development of specific standards that support the use of such databases for patient care.

A software tool to analyze clinical workflows from direct observations.

PubMed

Schweitzer, Marco; Lasierra, Nelia; Hoerbst, Alexander

2015-01-01

Observational data of clinical processes need to be managed in a convenient way, so that process information is reliable, valid and viable for further analysis. However, existing tools for allocating observations fail in systematic data collection of specific workflow recordings. We present a software tool which was developed to facilitate the analysis of clinical process observations. The tool was successfully used in the project OntoHealth, to build, store and analyze observations of diabetes routine consultations.

Identifying appropriate reference data models for comparative effectiveness research (CER) studies based on data from clinical information systems.

PubMed

Ogunyemi, Omolola I; Meeker, Daniella; Kim, Hyeon-Eui; Ashish, Naveen; Farzaneh, Seena; Boxwala, Aziz

2013-08-01

The need for a common format for electronic exchange of clinical data prompted federal endorsement of applicable standards. However, despite obvious similarities, a consensus standard has not yet been selected in the comparative effectiveness research (CER) community. Using qualitative metrics for data retrieval and information loss across a variety of CER topic areas, we compare several existing models from a representative sample of organizations associated with clinical research: the Observational Medical Outcomes Partnership (OMOP), Biomedical Research Integrated Domain Group, the Clinical Data Interchange Standards Consortium, and the US Food and Drug Administration. While the models examined captured a majority of the data elements that are useful for CER studies, data elements related to insurance benefit design and plans were most detailed in OMOP's CDM version 4.0. Standardized vocabularies that facilitate semantic interoperability were included in the OMOP and US Food and Drug Administration Mini-Sentinel data models, but are left to the discretion of the end-user in Biomedical Research Integrated Domain Group and Analysis Data Model, limiting reuse opportunities. Among the challenges we encountered was the need to model data specific to a local setting. This was handled by extending the standard data models. We found that the Common Data Model from the OMOP met the broadest complement of CER objectives. Minimal information loss occurred in mapping data from institution-specific data warehouses onto the data models from the standards we assessed. However, to support certain scenarios, we found a need to enhance existing data dictionaries with local, institution-specific information.

[Function of the present systematic evaluation in establishment of guidance for clinical practice].

PubMed

Yang, Jin-Hong; Hu, Jing; Yang, Feng-Chun; Zhang, Ning; Wang, Bing; Li, Xin

2012-07-01

Treatment of insomnia with acupuncture is taken as an example to explore the significance and problems existed in the present systematic evaluation in establishment of guidance for clinical practice. Fifteen articles on systematic evaluation of both English and Chinese were retrieved and studied carefully, their basic information was analyzed. Through study on the establishing process of the guidance of clinical practice, researches were focused on the possible significance of the articles to the guidance as well as the notes in the reuse of those articles since problem still existed. It is held that the systematic evaluation has great significance on the establishment of the guidance from the aspects of applicable people, recommended standards of diagnosis and therapeutic evaluation, extended recommendation and methodology. Great importance should also be attached to the direct application of the research result and understanding of the evaluation result. The data should be rechecked when necessary. Great guiding function can be found on the systematic evaluation of articles to the guidance. Moreover, if information needed to be taken into a full play, specific analysis should also be done on the concrete research targets.

Clinical terminology support for a national ambulatory practice outcomes research network.

PubMed

Ricciardi, Thomas N; Lieberman, Michael I; Kahn, Michael G; Masarie, F E

2005-01-01

The Medical Quality Improvement Consortium (MQIC) is a nationwide collaboration of 74 healthcare delivery systems, consisting of 3755 clinicians, who contribute de-identified clinical data from the same commercial electronic medical record (EMR) for quality reporting, outcomes research and clinical research in public health and practice benchmarking. Despite the existence of a common, centrally-managed, shared terminology for core concepts (medications, problem lists, observation names), a substantial "back-end" information management process is required to ensure terminology and data harmonization for creating multi-facility clinically-acceptable queries and comparable results. We describe the information architecture created to support terminology harmonization across this data-sharing consortium and discuss the implications for large scale data sharing envisioned by proponents for the national adoption of ambulatory EMR systems.

Clinical Terminology Support for a National Ambulatory Practice Outcomes Research Network

PubMed Central

Ricciardi, Thomas N.; Lieberman, Michael I.; Kahn, Michael G.; Masarie, F.E. “Chip”

2005-01-01

The Medical Quality Improvement Consortium (MQIC) is a nationwide collaboration of 74 healthcare delivery systems, consisting of 3755 clinicians, who contribute de-identified clinical data from the same commercial electronic medical record (EMR) for quality reporting, outcomes research and clinical research in public health and practice benchmarking. Despite the existence of a common, centrally-managed, shared terminology for core concepts (medications, problem lists, observation names), a substantial “back-end” information management process is required to ensure terminology and data harmonization for creating multi-facility clinically-acceptable queries and comparable results. We describe the information architecture created to support terminology harmonization across this data-sharing consortium and discuss the implications for large scale data sharing envisioned by proponents for the national adoption of ambulatory EMR systems. PMID:16779116

Protecting clinical data on Web client computers: the PCASSO approach.

PubMed Central

Masys, D. R.; Baker, D. B.

1998-01-01

The ubiquity and ease of use of the Web have made it an increasingly popular medium for communication of health-related information. Web interfaces to commercially available clinical information systems are now available or under development by most major vendors. To the extent that such interfaces involve the use of unprotected operating systems, they are vulnerable to security limitations of Web client software environments. The Patient Centered Access to Secure Systems Online (PCASSO) project extends the protections for person-identifiable health data on Web client computers. PCASSO uses several approaches, including physical protection of authentication information, execution containment, graphical displays, and monitoring the client system for intrusions and co-existing programs that may compromise security. PMID:9929243

Automating Guidelines for Clinical Decision Support: Knowledge Engineering and Implementation.

PubMed

Tso, Geoffrey J; Tu, Samson W; Oshiro, Connie; Martins, Susana; Ashcraft, Michael; Yuen, Kaeli W; Wang, Dan; Robinson, Amy; Heidenreich, Paul A; Goldstein, Mary K

2016-01-01

As utilization of clinical decision support (CDS) increases, it is important to continue the development and refinement of methods to accurately translate the intention of clinical practice guidelines (CPG) into a computable form. In this study, we validate and extend the 13 steps that Shiffman et al. 5 identified for translating CPG knowledge for use in CDS. During an implementation project of ATHENA-CDS, we encoded complex CPG recommendations for five common chronic conditions for integration into an existing clinical dashboard. Major decisions made during the implementation process were recorded and categorized according to the 13 steps. During the implementation period, we categorized 119 decisions and identified 8 new categories required to complete the project. We provide details on an updated model that outlines all of the steps used to translate CPG knowledge into a CDS integrated with existing health information technology.

Assessing the content, presentation, and readability of dental informed consents.

PubMed

Glick, Aaron; Taylor, David; Valenza, John A; Walji, Muhammad F

2010-08-01

Informed consents are important aids in helping patients make optimal decisions. Little knowledge exists about the quality of dental informed consents. Fifty-two informed consents used throughout the University of Texas Health Science Center at Houston Dental Branch were evaluated based on the quality of their content, readability, and presentation. Content quality was judged on four basic elements: description of procedure, risk, benefits, and alternatives. Of the clinical consents, 26 percent of forms contained all four of the basic content elements, 48 percent contained three of four elements, 16 percent contained two of four elements, and 10 percent contained one of four elements. Presentation quality was judged on twelve criteria items. The average clinical consent included seven out of twelve presentation items, and the average nonclinical consent included eight out of twelve items. Readability was judged using three standard instruments for rating readability: Flesch Reading Ease, Flesch-Kincaid Grade-Level, and Simple Measure of Gobbledygook (SMOG) grading. Average Flesch-Kincaid Grade-Level was 12.7 (range, 7.4 to 19.1), significantly higher than the recommended ninth grade level (p<.001). The results suggest that many existing dental informed consents may be improved by 1) increasing the comprehensiveness of the content, 2) improving the design and layout, and 3) reducing the readability levels for patient comprehension.

Knowledge management for the protection of information in electronic medical records.

PubMed

Lea, Nathan; Hailes, Stephen; Austin, Tony; Kalra, Dipak

2008-01-01

This paper describes foundational work investigating the protection requirements of sensitive medical information, which is being stored more routinely in repository systems for electronic medical records. These systems have increasingly powerful sharing capabilities at the point of clinical care, in medical research and for clinical and managerial audit. The potential for sharing raises concerns about the protection of individual patient privacy and challenges the duty of confidentiality by which medical practitioners are ethically and legally bound. By analysing the protection requirements and discussing the need to apply policy-based controls to discrete items of medical information in a record, this paper suggests that this is a problem for which existing privacy management solutions are not sufficient or appropriate to the protection requirements. It proposes that a knowledge management approach is required and it introduces a new framework based on the knowledge management techniques now being used to manage electronic medical record data. The background, existing work in this area, initial investigation methods, results to date and discussion are presented, and the paper is concluded with the authors' comments on the ramifications of the work.

Evidence-based design and evaluation of a whole genome sequencing clinical report for the reference microbiology laboratory.

PubMed

Crisan, Anamaria; McKee, Geoffrey; Munzner, Tamara; Gardy, Jennifer L

2018-01-01

Microbial genome sequencing is now being routinely used in many clinical and public health laboratories. Understanding how to report complex genomic test results to stakeholders who may have varying familiarity with genomics-including clinicians, laboratorians, epidemiologists, and researchers-is critical to the successful and sustainable implementation of this new technology; however, there are no evidence-based guidelines for designing such a report in the pathogen genomics domain. Here, we describe an iterative, human-centered approach to creating a report template for communicating tuberculosis (TB) genomic test results. We used Design Study Methodology-a human centered approach drawn from the information visualization domain-to redesign an existing clinical report. We used expert consults and an online questionnaire to discover various stakeholders' needs around the types of data and tasks related to TB that they encounter in their daily workflow. We also evaluated their perceptions of and familiarity with genomic data, as well as its utility at various clinical decision points. These data shaped the design of multiple prototype reports that were compared against the existing report through a second online survey, with the resulting qualitative and quantitative data informing the final, redesigned, report. We recruited 78 participants, 65 of whom were clinicians, nurses, laboratorians, researchers, and epidemiologists involved in TB diagnosis, treatment, and/or surveillance. Our first survey indicated that participants were largely enthusiastic about genomic data, with the majority agreeing on its utility for certain TB diagnosis and treatment tasks and many reporting some confidence in their ability to interpret this type of data (between 58.8% and 94.1%, depending on the specific data type). When we compared our four prototype reports against the existing design, we found that for the majority (86.7%) of design comparisons, participants preferred the alternative prototype designs over the existing version, and that both clinicians and non-clinicians expressed similar design preferences. Participants showed clearer design preferences when asked to compare individual design elements versus entire reports. Both the quantitative and qualitative data informed the design of a revised report, available online as a LaTeX template. We show how a human-centered design approach integrating quantitative and qualitative feedback can be used to design an alternative report for representing complex microbial genomic data. We suggest experimental and design guidelines to inform future design studies in the bioinformatics and microbial genomics domains, and suggest that this type of mixed-methods study is important to facilitate the successful translation of pathogen genomics in the clinic, not only for clinical reports but also more complex bioinformatics data visualization software.

Evidence-based design and evaluation of a whole genome sequencing clinical report for the reference microbiology laboratory

PubMed Central

Crisan, Anamaria; McKee, Geoffrey; Munzner, Tamara

2018-01-01

Background Microbial genome sequencing is now being routinely used in many clinical and public health laboratories. Understanding how to report complex genomic test results to stakeholders who may have varying familiarity with genomics—including clinicians, laboratorians, epidemiologists, and researchers—is critical to the successful and sustainable implementation of this new technology; however, there are no evidence-based guidelines for designing such a report in the pathogen genomics domain. Here, we describe an iterative, human-centered approach to creating a report template for communicating tuberculosis (TB) genomic test results. Methods We used Design Study Methodology—a human centered approach drawn from the information visualization domain—to redesign an existing clinical report. We used expert consults and an online questionnaire to discover various stakeholders’ needs around the types of data and tasks related to TB that they encounter in their daily workflow. We also evaluated their perceptions of and familiarity with genomic data, as well as its utility at various clinical decision points. These data shaped the design of multiple prototype reports that were compared against the existing report through a second online survey, with the resulting qualitative and quantitative data informing the final, redesigned, report. Results We recruited 78 participants, 65 of whom were clinicians, nurses, laboratorians, researchers, and epidemiologists involved in TB diagnosis, treatment, and/or surveillance. Our first survey indicated that participants were largely enthusiastic about genomic data, with the majority agreeing on its utility for certain TB diagnosis and treatment tasks and many reporting some confidence in their ability to interpret this type of data (between 58.8% and 94.1%, depending on the specific data type). When we compared our four prototype reports against the existing design, we found that for the majority (86.7%) of design comparisons, participants preferred the alternative prototype designs over the existing version, and that both clinicians and non-clinicians expressed similar design preferences. Participants showed clearer design preferences when asked to compare individual design elements versus entire reports. Both the quantitative and qualitative data informed the design of a revised report, available online as a LaTeX template. Conclusions We show how a human-centered design approach integrating quantitative and qualitative feedback can be used to design an alternative report for representing complex microbial genomic data. We suggest experimental and design guidelines to inform future design studies in the bioinformatics and microbial genomics domains, and suggest that this type of mixed-methods study is important to facilitate the successful translation of pathogen genomics in the clinic, not only for clinical reports but also more complex bioinformatics data visualization software. PMID:29340235

Identifying patient safety problems associated with information technology in general practice: an analysis of incident reports.

PubMed

Magrabi, Farah; Liaw, Siaw Teng; Arachi, Diana; Runciman, William; Coiera, Enrico; Kidd, Michael R

2016-11-01

To identify the categories of problems with information technology (IT), which affect patient safety in general practice. General practitioners (GPs) reported incidents online or by telephone between May 2012 and November 2013. Incidents were reviewed against an existing classification for problems associated with IT and the clinical process impacted. 87 GPs across Australia. Types of problems, consequences and clinical processes. GPs reported 90 incidents involving IT which had an observable impact on the delivery of care, including actual patient harm as well as near miss events. Practice systems and medications were the most affected clinical processes. Problems with IT disrupted clinical workflow, wasted time and caused frustration. Issues with user interfaces, routine updates to software packages and drug databases, and the migration of records from one package to another generated clinical errors that were unique to IT; some could affect many patients at once. Human factors issues gave rise to some errors that have always existed with paper records but are more likely to occur and cause harm with IT. Such errors were linked to slips in concentration, multitasking, distractions and interruptions. Problems with patient identification and hybrid records generated errors that were in principle no different to paper records. Problems associated with IT include perennial risks with paper records, but additional disruptions in workflow and hazards for patients unique to IT, occasionally affecting multiple patients. Surveillance for such hazards may have general utility, but particularly in the context of migrating historical records to new systems and software updates to existing systems. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and design

PubMed Central

Chinda, Betty; Medvedev, George; Siu, William; Ester, Martin; Arab, Ali; Gu, Tao; Moreno, Sylvain; D’Arcy, Ryan C N; Song, Xiaowei

2018-01-01

Introduction Haemorrhagic stroke is of significant healthcare concern due to its association with high mortality and lasting impact on the survivors’ quality of life. Treatment decisions and clinical outcomes depend strongly on the size, spread and location of the haematoma. Non-contrast CT (NCCT) is the primary neuroimaging modality for haematoma assessment in haemorrhagic stroke diagnosis. Current procedures do not allow convenient NCCT-based haemorrhage volume calculation in clinical settings, while research-based approaches are yet to be tested for clinical utility; there is a demonstrated need for developing effective solutions. The project under review investigates the development of an automatic NCCT-based haematoma computation tool in support of accurate quantification of haematoma volumes. Methods and analysis Several existing research methods for haematoma volume estimation are studied. Selected methods are tested using NCCT images of patients diagnosed with acute haemorrhagic stroke. For inter-rater and intrarater reliability evaluation, different raters will analyse haemorrhage volumes independently. The efficiency with respect to time of haematoma volume assessments will be examined to compare with the results from routine clinical evaluations and planimetry assessment that are known to be more accurate. The project will target the development of an enhanced solution by adapting existing methods and integrating machine learning algorithms. NCCT-based information of brain haemorrhage (eg, size, volume, location) and other relevant information (eg, age, sex, risk factor, comorbidities) will be used in relation to clinical outcomes with future project development. Validity and reliability of the solution will be examined for potential clinical utility. Ethics and dissemination The project including procedures for deidentification of NCCT data has been ethically approved. The study involves secondary use of existing data and does not require new consent of participation. The team consists of clinical neuroimaging scientists, computing scientists and clinical professionals in neurology and neuroradiology and includes patient representatives. Research outputs will be disseminated following knowledge translation plans towards improving stroke patient care. Significant findings will be published in scientific journals. Anticipated deliverables include computer solutions for improved clinical assessment of haematoma using NCCT. PMID:29674371

Bedside to Bench: Integrating Quantitative Clinical Pharmacology and Reverse Translation to Optimize Drug Development.

PubMed

Gibbs, John P; Menon, Rajeev; Kasichayanula, Sreeneeranj

2018-02-01

With so much emphasis on reducing attrition and becoming more efficient in the delivery of healthcare, there are many opportunities to leverage existing clinical data in drug development and to foster the practice of reverse translation. The application of quantitative approaches to convert clinical trial and real-world data to knowledge will continue to drive innovation. Herein we discuss recent examples of reverse translation and consider future opportunities to capture critical clinical knowledge to inform decision-making in drug development. © 2017 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

Electronic laboratory data quality and the value of a health information exchange to support public health reporting processes.

PubMed

Dixon, Brian E; McGowan, Julie J; Grannis, Shaun J

2011-01-01

There is increasing interest in leveraging electronic health data across disparate sources for a variety of uses. A fallacy often held by data consumers is that clinical data quality is homogeneous across sources. We examined one attribute of data quality, completeness, in the context of electronic laboratory reporting of notifiable disease information. We evaluated 7.5 million laboratory reports from clinical information systems for their completeness with respect to data needed for public health reporting processes. We also examined the impact of health information exchange (HIE) enhancement methods that attempt to improve completeness. The laboratory data were heterogeneous in their completeness. Fields identifying the patient and test results were usually complete. Fields containing patient demographics, patient contact information, and provider contact information were suboptimal. Data processed by the HIE were often more complete, suggesting that HIEs can support improvements to existing public health reporting processes.

PD-atricians: Leveraging Physicians and Participatory Design to Develop Novel Clinical Information Tools

PubMed Central

Pollack, Ari H; Miller, Andrew; Mishra, Sonali R.; Pratt, Wanda

2016-01-01

Participatory design, a method by which system users and stakeholders meaningfully contribute to the development of a new process or technology, has great potential to revolutionize healthcare technology, yet has seen limited adoption. We conducted a design session with eleven physicians working to create a novel clinical information tool utilizing participatory design methods. During the two-hour session, the physicians quickly engaged in the process and generated a large quantity of information, informing the design of a future tool. By utilizing facilitators experienced in design methodology, with detailed domain expertise, and well integrated into the healthcare organization, the participatory design session engaged a group of users who are often disenfranchised with existing processes as well as health information technology in general. We provide insight into why participatory design works with clinicians and provide guiding principles for how to implement these methods in healthcare organizations interested in advancing health information technology. PMID:28269900

IT-benchmarking of clinical workflows: concept, implementation, and evaluation.

PubMed

Thye, Johannes; Straede, Matthias-Christopher; Liebe, Jan-David; Hübner, Ursula

2014-01-01

Due to the emerging evidence of health IT as opportunity and risk for clinical workflows, health IT must undergo a continuous measurement of its efficacy and efficiency. IT-benchmarks are a proven means for providing this information. The aim of this study was to enhance the methodology of an existing benchmarking procedure by including, in particular, new indicators of clinical workflows and by proposing new types of visualisation. Drawing on the concept of information logistics, we propose four workflow descriptors that were applied to four clinical processes. General and specific indicators were derived from these descriptors and processes. 199 chief information officers (CIOs) took part in the benchmarking. These hospitals were assigned to reference groups of a similar size and ownership from a total of 259 hospitals. Stepwise and comprehensive feedback was given to the CIOs. Most participants who evaluated the benchmark rated the procedure as very good, good, or rather good (98.4%). Benchmark information was used by CIOs for getting a general overview, advancing IT, preparing negotiations with board members, and arguing for a new IT project.

Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?

PubMed

Morrison, Frances P; Li, Li; Lai, Albert M; Hripcsak, George

2009-01-01

Electronic clinical documentation can be useful for activities such as public health surveillance, quality improvement, and research, but existing methods of de-identification may not provide sufficient protection of patient data. The general-purpose natural language processor MedLEE retains medical concepts while excluding the remaining text so, in addition to processing text into structured data, it may be able provide a secondary benefit of de-identification. Without modifying the system, the authors tested the ability of MedLEE to remove protected health information (PHI) by comparing 100 outpatient clinical notes with the corresponding XML-tagged output. Of 809 instances of PHI, 26 (3.2%) were detected in output as a result of processing and identification errors. However, PHI in the output was highly transformed, much appearing as normalized terms for medical concepts, potentially making re-identification more difficult. The MedLEE processor may be a good enhancement to other de-identification systems, both removing PHI and providing coded data from clinical text.

Integrating functional genomics to accelerate mechanistic personalized medicine.

PubMed

Tyner, Jeffrey W

2017-03-01

The advent of deep sequencing technologies has resulted in the deciphering of tremendous amounts of genetic information. These data have led to major discoveries, and many anecdotes now exist of individual patients whose clinical outcomes have benefited from novel, genetically guided therapeutic strategies. However, the majority of genetic events in cancer are currently undrugged, leading to a biological gap between understanding of tumor genetic etiology and translation to improved clinical approaches. Functional screening has made tremendous strides in recent years with the development of new experimental approaches to studying ex vivo and in vivo drug sensitivity. Numerous discoveries and anecdotes also exist for translation of functional screening into novel clinical strategies; however, the current clinical application of functional screening remains largely confined to small clinical trials at specific academic centers. The intersection between genomic and functional approaches represents an ideal modality to accelerate our understanding of drug sensitivities as they relate to specific genetic events and further understand the full mechanisms underlying drug sensitivity patterns.

HGML: a hypertext guideline markup language.

PubMed Central

Hagerty, C. G.; Pickens, D.; Kulikowski, C.; Sonnenberg, F.

2000-01-01

Existing text-based clinical practice guidelines can be difficult to put into practice. While a growing number of such documents have gained acceptance in the medical community and contain a wealth of valuable information, the time required to digest them is substantial. Yet the expressive power, subtlety and flexibility of natural language pose challenges when designing computer tools that will help in their application. At the same time, formal computer languages typically lack such expressiveness and the effort required to translate existing documents into these languages may be costly. We propose a method based on the mark-up concept for converting text-based clinical guidelines into a machine-operable form. This allows existing guidelines to be manipulated by machine, and viewed in different formats at various levels of detail according to the needs of the practitioner, while preserving their originally published form. PMID:11079898

Embedded ubiquitous services on hospital information systems.

PubMed

Kuroda, Tomohiro; Sasaki, Hiroshi; Suenaga, Takatoshi; Masuda, Yasushi; Yasumuro, Yoshihiro; Hori, Kenta; Ohboshi, Naoki; Takemura, Tadamasa; Chihara, Kunihiro; Yoshihara, Hiroyuki

2012-11-01

A Hospital Information Systems (HIS) have turned a hospital into a gigantic computer with huge computational power, huge storage and wired/wireless local area network. On the other hand, a modern medical device, such as echograph, is a computer system with several functional units connected by an internal network named a bus. Therefore, we can embed such a medical device into the HIS by simply replacing the bus with the local area network. This paper designed and developed two embedded systems, a ubiquitous echograph system and a networked digital camera. Evaluations of the developed systems clearly show that the proposed approach, embedding existing clinical systems into HIS, drastically changes productivity in the clinical field. Once a clinical system becomes a pluggable unit for a gigantic computer system, HIS, the combination of multiple embedded systems with application software designed under deep consideration about clinical processes may lead to the emergence of disruptive innovation in the clinical field.

Ubiquitous Multicriteria Clinic Recommendation System.

PubMed

Chen, Toly

2016-05-01

Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferences for different clinics and doctors. Therefore, to enable patients to compare multiple clinics, this study proposes a ubiquitous multicriteria clinic recommendation system. In this system, patients can send requests through their cell phones to the system server to obtain a clinic recommendation. Once the patient sends this information to the system, the system server first estimates the patient's speed according to the detection results of a global positioning system. It then applies a fuzzy integer nonlinear programming-ordered weighted average approach to assess four criteria and finally recommends a clinic with maximal utility to the patient. The proposed methodology was tested in a field experiment, and the experimental results showed that it is advantageous over two existing methods in elevating the utilities of recommendations. In addition, such an advantage was shown to be statistically significant.

Clinical management of a child with Prader-Willi Syndrome from maternal uniparental disomy (UPD) genetic inheritance.

PubMed

Bellon-Harn, Monica L

2005-01-01

Prader-Willi Syndrome (PWS) is reported in 1 in 10,000-15,000 individuals. Unfortunately, many cases are missed due to clinicians' lack of familiarity with the syndrome as well as clinical and laboratory diagnostic criteria. Although common clinical characteristics are reported, variety exists in the nature and severity of dysfunction associated with PWS. Case studies can provide information to understand relationships between phenotypic characteristics and genetic inheritance, which can in turn lead to effective clinical management. The purpose of this case study was to describe the characteristics of a child with PWS due to maternal uniparental disomy inheritance pattern and to describe clinical management and treatment outcomes. The reader will obtain information about: (1) the genetic inheritance patterns and clinical characteristics of Prader-Willi Syndrome, (2) genotypic/phenotypic relationships specific to Prader-Willi Syndrome, and (3) clinical implications, management, and outcomes in a case description of a child with PWS due to maternal uniparental disomy inheritance pattern.

Clinical Computer Systems Survey (CLICS): learning about health information technology (HIT) in its context of use.

PubMed

Lichtner, Valentina; Cornford, Tony; Klecun, Ela

2013-01-01

Successful health information technology (HIT) implementations need to be informed on the context of use and on users' attitudes. To this end, we developed the CLinical Computer Systems Survey (CLICS) instrument. CLICS reflects a socio-technical view of HIT adoption, and is designed to encompass all members of the clinical team. We used the survey in a large English hospital as part of its internal evaluation of the implementation of an electronic patient record system (EPR). The survey revealed extent and type of use of the EPR; how it related to and integrated with other existing systems; and people's views on its use, usability and emergent safety issues. Significantly, participants really appreciated 'being asked'. They also reminded us of the wider range of administrative roles engaged with EPR. This observation reveals pertinent questions as to our understanding of the boundaries between administrative tasks and clinical medicine - what we propose as the field of 'administrative medicine'.

A data platform to improve rabies prevention, Sri Lanka.

PubMed

De Silva, A Pubudu; Harischandra, Pa Lionel; Beane, Abi; Rathnayaka, Shriyananda; Pimburage, Ruwini; Wijesiriwardana, Wageesha; Gamage, Dilanthi; Jayasinghe, Desika; Sigera, Chathurani; Gunasekara, Amila; Cadre, Mizaya; Amunugama, Sarath; Athapattu, Priyantha L; Jayasinghe, K Saroj A; Dondorp, Arjen M; Haniffa, Rashan

2017-09-01

In Sri Lanka, rabies prevention initiatives are hindered by fragmented and delayed information-sharing that limits clinicians' ability to follow patients and impedes public health surveillance. In a project led by the health ministry, we adapted existing technologies to create an electronic platform for rabies surveillance. Information is entered by trained clinical staff, and both aggregate and individual patient data are visualized in real time. An automated short message system (SMS) alerts patients for vaccination follow-up appointments and informs public health inspectors about incidents of animal bites. The platform was rolled out in June 2016 in four districts of Sri Lanka, linking six rabies clinics, three laboratories and the public health inspectorate. Over a 9-month period, 12 121 animal bites were reported to clinics and entered in the registry. Via secure portals, clinicians and public health teams accessed live information on treatment and outcomes of patients started on post-exposure prophylaxis (9507) or receiving deferred treatment (2614). Laboratories rapidly communicated the results of rabies virus tests on dead mammals (328/907 positive). In two pilot districts SMS reminders were sent to 1376 (71.2%) of 1933 patients whose contact details were available. Daily SMS reports alerted 17 public health inspectors to bite incidents in their area for investigation. Existing technologies in low-resource countries can be harnessed to improve public health surveillance. Investment is needed in platform development and training and support for front-line staff. Greater public engagement is needed to improve completeness of surveillance and treatment.

IT behind a platform for Translational Cancer Research - concept and objectives.

PubMed

Steffens, Michael; Husmann, Gabriele; Koca, Mithat; Lablans, Martin; Komor, Martina; Zeissig, Sylke; Emrich, Katharina; Brandts, Christian; Serve, Hubert; Blettner, Maria; Uckert, Frank

2012-01-01

The German Consortium for Translational Cancer Research (DKTK) and the Rhine-Main Translational Cancer Research Network (RM-TCRN) are designed to exploit large population cohorts of cancer patients for the purpose of bio-banking, clinical trials, and clinical cancer registration. Hence, the success of these platforms is heavily dependent on the close interlinking of clinical data from cancer patients, information from study registries, and data from bio-banking systems of different laboratories and scientific institutions. This article referring to the poster discusses the main challenges of the platforms from an information technology point of view, legal and data security issues, and outlines an integrative IT-concept concerning a decentralized, distributed search approach where data management and search is in compliance with existing legislative rules.

The value of arthrography in the decision-making process regarding surgery for internal derangement of the temporomandibular joint.

PubMed

Nitzan, D W; Dolwick, F M; Marmary, Y

1991-04-01

In this study, the clinical and arthrographic findings from 43 internally deranged temporomandibular joints (TMJs) were compared with the intra-surgical observations. In 40 of 43 joints, arthrography did not provide any additional information useful for diagnosis or treatment. In six joints, the problem was misdiagnosed. Only in three joints did arthrography demonstrate the existence of perforation in the posterior attachment that had not been suspected during the clinical examination. Because of the doubtful importance of arthrographic information for the decision-making process, it is suggested that the method be applied only in cases in which clinical examination and plain radiographs have failed to uncover the signs and symptoms indicative of a TMJ disorder.

START: an advanced radiation therapy information system.

PubMed

Cocco, A; Valentini, V; Balducci, M; Mantello, G

1996-01-01

START is an advanced radiation therapy information system (RTIS) which connects direct information technology present in the devices with indirect information technology for clinical, administrative, information management integrated with the hospital information system (HIS). The following objectives are pursued: to support decision making in treatment planning and functional and information integration with the rest of the hospital; to enhance organizational efficiency of a Radiation Therapy Department; to facilitate the statistical evaluation of clinical data and managerial performance assessment; to ensure the safety and confidentiality of used data. For its development a working method based on the involvement of all operators of the Radiation Therapy Department, was applied. Its introduction in the work activity was gradual, trying to reuse and integrate the existing information applications. The START information flow identifies four major phases: admission, visit of admission, planning, therapy. The system main functionalities available to the radiotherapist are: clinical history/medical report linking function; folder function; planning function; tracking function; electronic mail and banner function; statistical function; management function. Functions available to the radiotherapy technician are: the room daily list function; management function: to the nurse the following functions are available: patient directing function; management function. START is a departmental client (pc-windows)-server (unix) developed on an integrated database of all information of interest (clinical, organizational and administrative) coherent with the standard and with a modular architecture which can evolve with additional functionalities in subsequent times. For a more thorough evaluation of its impact on the daily activity of a radiation therapy facility, a prolonged clinical validation is in progress.

Comprehensive modeling of critical health care activities, costs, and data needs within the context of addiction rehabilitiation

NASA Astrophysics Data System (ADS)

Hoffman, Kenneth J.; Keithley, Hudson

1994-12-01

There are few systems which aggregate standardized pertinent clinical observations of discrete patient problems and resolutions. The systematic information supplied by clinicians is generally provided to justify reimbursement from insurers. Insurers, by their nature, and expert in modeling health care costs by diagnosis, procedures, and population risk groups. Medically, they rely on clinician generated diagnostic and coded procedure information. Clinicians will document a patient's status at a discrete point in time through narrative. Clinical notes do not support aggregate and systematic analysis of outcome. A methodology exists and has been used by the US Army Drug and Alcohol Program to model the clinical activities, associated costs, and data requirements of an outpatient clinic. This has broad applicability for a comprehensive health care system to which patient costs and data requirements can be established.

Recommendations for Clinical Decision Support Deployment: Synthesis of a Roundtable of Medical Directors of Information Systems

PubMed Central

Jenders, Robert A.; Osheroff, Jerome A.; Sittig, Dean F.; Pifer, Eric A.; Teich, Jonathan M

2007-01-01

Background: Ample evidence exists that clinical decision support (CDS) can improve clinician performance. Nevertheless, additional evidence demonstrates that clinicians still do not perform adequately in many instances. This suggests an ongoing need for implementation of CDS, in turn prompting development of a roadmap for national action regarding CDS. Objective: Develop practical advice to aid CDS implementation in order to improve clinician performance. Method: Structured group interview during a roundtable discussion by medical directors of information systems (N = 30), with subsequent review by participants and synthesis. Results: Participant consensus was that CDS should be comprehensive and should involve techniques such as order sets and facilitated documentation as well as alerts; should be subject to ongoing feedback; and should flow from and be governed by an organization’s clinical goals. Conclusion: A structured roundtable discussion of clinicians experienced in health information technology can yield practical, consensus advice for implementation of CDS. PMID:18693858

Considerations on the Improved Integration of Medical Guidelines into Routine Clinical Practice – a Review and Concept Proposal

PubMed Central

Beckmann, M. W.; Schlieter, H.; Richter, P.; Wesselmann, S.

2016-01-01

Medical guidelines have become established as the standard for the comprehensive synopsis of all available information (scientific trials, expert opinion) on diagnosis and treatment recommendations. The transfer of guidelines to clinical practice and subsequent monitoring has however proven difficult. In particular the potential interaction between guideline developers and guideline users has not been fully utilised. This review article analyses the status quo and existing methodological and technical information solutions supporting the guideline life cycle. It is shown that there are numerous innovative developments that in isolation do not provide comprehensive support. The vision of the “Living Guidelines 2.0” is therefore presented. This outlines the merging of guideline development and implementation on the basis of clinical pathways and guideline-based quality control, and building on this, the generation of information for guideline development and research. PMID:27134291

Term Coverage of Dietary Supplements Ingredients in Product Labels.

PubMed

Wang, Yefeng; Adam, Terrence J; Zhang, Rui

2016-01-01

As the clinical application and consumption of dietary supplements has grown, their side effects and possible interactions with prescribed medications has become a serious issue. Information extraction of dietary supplement related information is a critical need to support dietary supplement research. However, there currently is not an existing terminology for dietary supplements, placing a barrier for informatics research in this field. The terms related to dietary supplement ingredients should be collected and normalized before a terminology can be established to facilitate convenient search on safety information and control possible adverse effects of dietary supplements. In this study, the Dietary Supplement Label Database (DSLD) was chosen as the data source from which the ingredient information was extracted and normalized. The distribution based on the product type and the ingredient type of the dietary supplements were analyzed. The ingredient terms were then mapped to the existing terminologies, including UMLS, RxNorm and NDF-RT by using MetaMap and RxMix. The large gap between existing terminologies and ingredients were found: only 14.67%, 19.65%, and 12.88% of ingredient terms were covered by UMLS, RxNorm and NDF-RT, respectively.

Embedding measurement within existing computerized data systems: scaling clinical laboratory and medical records heart failure data to predict ICU admission.

PubMed

Fisher, William P; Burton, Elizabeth C

2010-01-01

This study employs existing data sources to develop a new measure of intensive care unit (ICU) admission risk for heart failure patients. Outcome measures were constructed from laboratory, accounting, and medical record data for 973 adult inpatients with primary or secondary heart failure. Several scoring interpretations of the laboratory indicators were evaluated relative to their measurement and predictive properties. Cases were restricted to tests within first lab draw that included at least 15 indicators. After optimizing the original clinical observations, a satisfactory heart failure severity scale was calibrated on a 0-1000 continuum. Patients with unadjusted CHF severity measures of 550 or less were 2.7 times more likely to be admitted to the ICU than those with higher measures. Patients with low HF severity measures (550 or less) adjusted for demographic and diagnostic risk factors are about six times more likely to be admitted to the ICU than those with higher adjusted measures. A nomogram facilitates routine clinical application. Existing computerized data systems could be programmed to automatically structure clinical laboratory reports using the results of studies like this one to reduce data volume with no loss of information, make laboratory results more meaningful to clinical end users, improve the quality of care, reduce errors and unneeded tests, prevent unnecessary ICU admissions, lower costs, and improve patient satisfaction. Existing data typically examined piecemeal form a coherent scale measuring heart failure severity sensitive to increased likelihood of ICU admission. Marked improvements in ROC curves were found for the aggregate measures relative to individual clinical indicators.

Influence of Food on Paediatric Gastrointestinal Drug Absorption Following Oral Administration: A Review

PubMed Central

Batchelor, Hannah K.

2015-01-01

The objective of this paper was to review existing information regarding food effects on drug absorption within paediatric populations. Mechanisms that underpin food–drug interactions were examined to consider potential differences between adult and paediatric populations, to provide insights into how this may alter the pharmacokinetic profile in a child. Relevant literature was searched to retrieve information on food–drug interaction studies undertaken on: (i) paediatric oral drug formulations; and (ii) within paediatric populations. The applicability of existing methodology to predict food effects in adult populations was evaluated with respect to paediatric populations where clinical data was available. Several differences in physiology, anatomy and the composition of food consumed within a paediatric population are likely to lead to food–drug interactions that cannot be predicted based on adult studies. Existing methods to predict food effects cannot be directly extrapolated to allow predictions within paediatric populations. Development of systematic methods and guidelines is needed to address the general lack of information on examining food–drug interactions within paediatric populations. PMID:27417362

Criteria used by nurses to evaluate practice-related information on the World Wide Web.

PubMed

Cader, Raffik; Campbell, Steve; Watson, Don

2003-01-01

Existing criteria used to evaluate information on the World Wide Web often are not related to nursing, especially in relation to clinical and evidence-based practice. Published criteria have been found orientated to the health-consumer, medicine, or general information. In this study, the process by which nurses evaluate practice-related information and the associated evaluative nursing criteria were investigated using a grounded theory approach. In the first stage of this ongoing investigation, semistructured interviews were used to collect data from UK postregistration nursing students. The findings from this initial study provided indications of the process and the criteria for evaluating information on the World Wide Web. Participating students identified intuition as part of the evaluative process. They identified some criteria similar to existing standards, but critically, with additional criteria that are nursing practice related. Because these new criteria are significant for evaluating nursing information, further refinement of these findings is being undertaken through the next stage of the research program.

Describing and Modeling Workflow and Information Flow in Chronic Disease Care

PubMed Central

Unertl, Kim M.; Weinger, Matthew B.; Johnson, Kevin B.; Lorenzi, Nancy M.

2009-01-01

Objectives The goal of the study was to develop an in-depth understanding of work practices, workflow, and information flow in chronic disease care, to facilitate development of context-appropriate informatics tools. Design The study was conducted over a 10-month period in three ambulatory clinics providing chronic disease care. The authors iteratively collected data using direct observation and semi-structured interviews. Measurements The authors observed all aspects of care in three different chronic disease clinics for over 150 hours, including 157 patient-provider interactions. Observation focused on interactions among people, processes, and technology. Observation data were analyzed through an open coding approach. The authors then developed models of workflow and information flow using Hierarchical Task Analysis and Soft Systems Methodology. The authors also conducted nine semi-structured interviews to confirm and refine the models. Results The study had three primary outcomes: models of workflow for each clinic, models of information flow for each clinic, and an in-depth description of work practices and the role of health information technology (HIT) in the clinics. The authors identified gaps between the existing HIT functionality and the needs of chronic disease providers. Conclusions In response to the analysis of workflow and information flow, the authors developed ten guidelines for design of HIT to support chronic disease care, including recommendations to pursue modular approaches to design that would support disease-specific needs. The study demonstrates the importance of evaluating workflow and information flow in HIT design and implementation. PMID:19717802

Non-invasive lightweight integration engine for building EHR from autonomous distributed systems.

PubMed

Angulo, Carlos; Crespo, Pere; Maldonado, José A; Moner, David; Pérez, Daniel; Abad, Irene; Mandingorra, Jesús; Robles, Montserrat

2007-12-01

In this paper we describe Pangea-LE, a message-oriented lightweight data integration engine that allows homogeneous and concurrent access to clinical information from disperse and heterogeneous data sources. The engine extracts the information and passes it to the requesting client applications in a flexible XML format. The XML response message can be formatted on demand by appropriate Extensible Stylesheet Language (XSL) transformations in order to meet the needs of client applications. We also present a real deployment in a hospital where Pangea-LE collects and generates an XML view of all the available patient clinical information. The information is presented to healthcare professionals in an Electronic Health Record (EHR) viewer Web application with patient search and EHR browsing capabilities. Implantation in a real setting has been a success due to the non-invasive nature of Pangea-LE which respects the existing information systems.

Non-invasive light-weight integration engine for building EHR from autonomous distributed systems.

PubMed

Crespo Molina, Pere; Angulo Fernández, Carlos; Maldonado Segura, José A; Moner Cano, David; Robles Viejo, Montserrat

2006-01-01

Pangea-LE is a message oriented light-weight integration engine, allowing concurrent access to clinical information from disperse and heterogeneous data sources. The engine extracts the information and serves it to the requester client applications in a flexible XML format. This XML response message can be formatted on demand by the appropriate XSL (Extensible Stylesheet Language) transformation in order to fit client application needs. In this article we present a real use case sample where Pangea-LE collects and generates "on the fly" a structured view of all the patient clinical information available in a healthcare organisation. This information is presented to healthcare professionals in an EHR (Electronic Health Record) viewer Web application with patient search and EHR browsing capabilities. Implantation in a real environment has been a notable success due to the non-invasive method which extremely respects the existing information systems.

A framework for characterizing drug information sources.

PubMed

Sharp, Mark; Bodenreider, Olivier; Wacholder, Nina

2008-11-06

Drug information is complex, voluminous, heterogeneous, and dynamic. Multiple sources are available, each providing some elements of information about drugs (usually for a given purpose), but there exists no integrated view or directory that could be used to locate sources appropriate to a given purpose. We examined 23 sources that provide drug information in the pharmacy, chemistry, biology, and clinical medicine domains. Their drug information content could be categorized with 39 dimensions. We propose this list of dimensions as a framework for characterizing drug information sources. As an evaluation, we show that this framework is useful for comparing drug information sources and selecting sources most relevant to a given use case.

Validating EHR clinical models using ontology patterns.

PubMed

Martínez-Costa, Catalina; Schulz, Stefan

2017-12-01

Clinical models are artefacts that specify how information is structured in electronic health records (EHRs). However, the makeup of clinical models is not guided by any formal constraint beyond a semantically vague information model. We address this gap by advocating ontology design patterns as a mechanism that makes the semantics of clinical models explicit. This paper demonstrates how ontology design patterns can validate existing clinical models using SHACL. Based on the Clinical Information Modelling Initiative (CIMI), we show how ontology patterns detect both modeling and terminology binding errors in CIMI models. SHACL, a W3C constraint language for the validation of RDF graphs, builds on the concept of "Shape", a description of data in terms of expected cardinalities, datatypes and other restrictions. SHACL, as opposed to OWL, subscribes to the Closed World Assumption (CWA) and is therefore more suitable for the validation of clinical models. We have demonstrated the feasibility of the approach by manually describing the correspondences between six CIMI clinical models represented in RDF and two SHACL ontology design patterns. Using a Java-based SHACL implementation, we found at least eleven modeling and binding errors within these CIMI models. This demonstrates the usefulness of ontology design patterns not only as a modeling tool but also as a tool for validation. Copyright © 2017 Elsevier Inc. All rights reserved.

Privacy and confidentiality in pragmatic clinical trials

PubMed Central

McGraw, Deven; Greene, Sarah M.; Miner, Caroline S.; Staman, Karen L.; Welch, Mary Jane; Rubel, Alan

2015-01-01

With pragmatic clinical trials (PCTs) an opportunity exists to answer important questions about the relative risks, burdens, and benefits of therapeutic interventions. However, concerns about protecting the privacy of this information are significant and must be balanced with the imperative to learn from the data gathered in routine clinical practice. Traditional privacy protections for research uses of identifiable information rely disproportionately on informed consent or authorizations, based on a presumption that this is necessary to fulfill ethical principles of respect for persons. But frequently the ideal of informed consent is not realized in its implementation. Moreover, the principle of respect for persons,—which encompasses their interests in health information privacy,—can be honored through other mechanisms. Data anonymization also plays a role in protecting privacy but is not suitable for all research, particularly PCTs. In this paper we explore both the ethical foundation and regulatory framework intended to protect privacy in PCTs. We then review examples of novel approaches to respecting persons in research that may have the added benefit of honoring patient privacy considerations. PMID:26374682

Some experiences and opportunities for big data in translational research.

PubMed

Chute, Christopher G; Ullman-Cullere, Mollie; Wood, Grant M; Lin, Simon M; He, Min; Pathak, Jyotishman

2013-10-01

Health care has become increasingly information intensive. The advent of genomic data, integrated into patient care, significantly accelerates the complexity and amount of clinical data. Translational research in the present day increasingly embraces new biomedical discovery in this data-intensive world, thus entering the domain of "big data." The Electronic Medical Records and Genomics consortium has taught us many lessons, while simultaneously advances in commodity computing methods enable the academic community to affordably manage and process big data. Although great promise can emerge from the adoption of big data methods and philosophy, the heterogeneity and complexity of clinical data, in particular, pose additional challenges for big data inferencing and clinical application. However, the ultimate comparability and consistency of heterogeneous clinical information sources can be enhanced by existing and emerging data standards, which promise to bring order to clinical data chaos. Meaningful Use data standards in particular have already simplified the task of identifying clinical phenotyping patterns in electronic health records.

Some experiences and opportunities for big data in translational research

PubMed Central

Chute, Christopher G.; Ullman-Cullere, Mollie; Wood, Grant M.; Lin, Simon M.; He, Min; Pathak, Jyotishman

2014-01-01

Health care has become increasingly information intensive. The advent of genomic data, integrated into patient care, significantly accelerates the complexity and amount of clinical data. Translational research in the present day increasingly embraces new biomedical discovery in this data-intensive world, thus entering the domain of “big data.” The Electronic Medical Records and Genomics consortium has taught us many lessons, while simultaneously advances in commodity computing methods enable the academic community to affordably manage and process big data. Although great promise can emerge from the adoption of big data methods and philosophy, the heterogeneity and complexity of clinical data, in particular, pose additional challenges for big data inferencing and clinical application. However, the ultimate comparability and consistency of heterogeneous clinical information sources can be enhanced by existing and emerging data standards, which promise to bring order to clinical data chaos. Meaningful Use data standards in particular have already simplified the task of identifying clinical phenotyping patterns in electronic health records. PMID:24008998

What should we measure? Conceptualizing usage in health information exchange

PubMed Central

Jasperson, Jon

2010-01-01

Under the provisions of the Health Information Technology for Economic & Clinical Health act providers need to demonstrate their ‘meaningful use’ of electronic health record systems' health information exchange (HIE) capability. HIE usage is not a simple construct, but the choice of its measurement must attend to the users, context, and objectives of the system being examined. This review examined how usage is reported in the existing literature and also what conceptualizations of usage might best reflect the nature and objectives of HIE. While existing literature on HIE usage included a diverse set of measures, most were theoretically weak, did not attend to the interplay of measure, level of analysis and architectural strategy, and did not reflect how HIE usage affected the actual process of care. Attention to these issues will provide greater insight into the effects of previously inaccessible information on medical decision-making and the process of care. PMID:20442148

Cruella: developing a scalable tissue microarray data management system.

PubMed

Cowan, James D; Rimm, David L; Tuck, David P

2006-06-01

Compared with DNA microarray technology, relatively little information is available concerning the special requirements, design influences, and implementation strategies of data systems for tissue microarray technology. These issues include the requirement to accommodate new and different data elements for each new project as well as the need to interact with pre-existing models for clinical, biological, and specimen-related data. To design and implement a flexible, scalable tissue microarray data storage and management system that could accommodate information regarding different disease types and different clinical investigators, and different clinical investigation questions, all of which could potentially contribute unforeseen data types that require dynamic integration with existing data. The unpredictability of the data elements combined with the novelty of automated analysis algorithms and controlled vocabulary standards in this area require flexible designs and practical decisions. Our design includes a custom Java-based persistence layer to mediate and facilitate interaction with an object-relational database model and a novel database schema. User interaction is provided through a Java Servlet-based Web interface. Cruella has become an indispensable resource and is used by dozens of researchers every day. The system stores millions of experimental values covering more than 300 biological markers and more than 30 disease types. The experimental data are merged with clinical data that has been aggregated from multiple sources and is available to the researchers for management, analysis, and export. Cruella addresses many of the special considerations for managing tissue microarray experimental data and the associated clinical information. A metadata-driven approach provides a practical solution to many of the unique issues inherent in tissue microarray research, and allows relatively straightforward interoperability with and accommodation of new data models.

Therapeutic mechanisms of classic hallucinogens in the treatment of addictions: from indirect evidence to testable hypotheses.

PubMed

Bogenschutz, Michael P; Pommy, Jessica M

2012-01-01

Alcohol and drug addiction are major public health problems, and existing treatments are only moderately effective. Although there has been interest for over half a century in the therapeutic use of classic hallucinogens to treat addictions, clinical research with these drugs was halted at an early stage in the early 1970s, leaving many fundamental questions unanswered. In the past two decades, clinical research on classic hallucinogens has resumed, although addiction treatment trials are only now beginning. The purpose of this paper is to provide a targeted review of the research most relevant to the therapeutic potential of hallucinogens, and to integrate this information with current thinking about addiction and recovery. On the basis of this information, we present a heuristic model which organizes a number of hypotheses that may be tested in future research. We conclude that existing evidence provides a convincing rationale for further research on the effects of classic hallucinogens in the treatment of addiction. Copyright © 2012 John Wiley & Sons, Ltd.

Placebos in clinical practice and research.

PubMed Central

De Deyn, P P; D'Hooge, R

1996-01-01

The main current application of placebo is in clinical research. The term placebo effect refers to diverse non-specific, desired or non-desired effects of substances or procedures and interactions between patient and therapist. Unpredictability of the placebo effect necessitates placebo-controlled designs for most trials. Therapeutic and diagnostic use of placebo is ethically acceptable only in few well-defined cases. While "therapeutic" application of placebo almost invariably implies deception, this is not the case for its use in research. Conflicts may exist between the therapist's Hippocratic and scientific obligations. The authors provide examples in neuropsychiatry, illustrating that objective scientific data and well-considered guidelines may solve the ethical dilemma. Placebo control might even be considered an ethical obligation but some provisos should be kept in mind: (a) no adequate therapy for the disease should exist and/or (presumed) active therapy should have serious side-effects; (b) placebo treatment should not last too long; (c) placebo treatment should not inflict unacceptable risks, and (d) the experimental subject should be adequately informed and informed consent given. PMID:8798935

Drug advertising in medical journals

PubMed Central

Morgan, A. H.; Jeffers, T. A.; Petrie, J. C.; Walker, W.

1976-01-01

1 One hundred different drug advertisements from each of seven leading medical journals have been assessed. 2 Information about drug interactions, adverse reactions, mode of action, absorption, distribution, metabolism, excretion and cost was seldom provided in UK journals. 3 A requirement should exist that drug advertisements include such clinically important information. Only a few pharmaceutical companies are attempting to educate doctors through their marketing and promotional material in advertisements in medical journals. PMID:22216530

Existing reporting guidelines for clinical trials are not completely relevant for implantable medical devices: a systematic review.

PubMed

Motte, Anne-France; Diallo, Stéphanie; van den Brink, Hélène; Châteauvieux, Constance; Serrano, Carole; Naud, Carole; Steelandt, Julie; Alsac, Jean-Marc; Aubry, Pierre; Cour, Florence; Pellerin, Olivier; Pineau, Judith; Prognon, Patrice; Borget, Isabelle; Bonan, Brigitte; Martelli, Nicolas

2017-11-01

The aim of this study was to determine relevant items for reporting clinical trials on implantable medical devices (IMDs) and to identify reporting guidelines which include these items. A panel of experts identified the most relevant items for evaluating IMDs from an initial list based on reference papers. We then conducted a systematic review of articles indexed in MEDLINE. We retrieved reporting guidelines from the EQUATOR network's library for health research reporting. Finally, we screened these reporting guidelines to find those using our set of reporting items. Seven relevant reporting items were selected that related to four topics: randomization, learning curve, surgical setting, and device information. A total of 348 reporting guidelines were identified, among which 26 met our inclusion criteria. However, none of the 26 reporting guidelines presented all seven items together. The most frequently reported item was timing of randomization (65%). On the contrary, device information and learning curve effects were poorly specified. To our knowledge, this study is the first to identify specific items related to IMDs in reporting guidelines for clinical trials. We have shown that no existing reporting guideline is totally suitable for these devices. Copyright © 2017 Elsevier Inc. All rights reserved.

Comorbidities and Chronic Obstructive Pulmonary Disease: Prevalence, Influence on Outcomes, and Management

PubMed Central

Putcha, Nirupama; Drummond, M. Bradley; Wise, Robert A.; Hansel, Nadia N.

2016-01-01

Comorbidities impact a large proportion of patients with chronic obstructive pulmonary disease (COPD), with over 80% of patients with COPD estimated to have at least one comorbid chronic condition. Guidelines for the treatment of COPD are just now incorporating comorbidities to their management recommendations of COPD, and it is becoming increasingly clear that multimorbidity as well as specific comorbidities have strong associations with mortality and clinical outcomes in COPD, including dyspnea, exercise capacity, quality of life, healthcare utilization, and exacerbation risk. Appropriately, there has been an increased focus upon describing the burden of comorbidity in the COPD population and incorporating this information into existing efforts to better understand the clinical and phenotypic heterogeneity of this group. In this article, we summarize existing knowledge about comorbidity burden and specific comorbidities in COPD, focusing on prevalence estimates, association with outcomes, and existing knowledge about treatment strategies. PMID:26238643

An On-Line Nutrition Information System for the Clinical Dietitian

PubMed Central

Petot, Grace J.; Houser, Harold B.; Uhrich, Roberta V.

1980-01-01

A university based computerized nutrient data base has been integrated into an on-line nutrition information system in a large acute care hospital. Key elements described in the design and installation of the system are the addition of hospital menu items to the existing nutrient data base, the creation of a unique recipe file in the computer, production of a customized menu/nutrient handbook, preparation of forms and establishment of output formats. Standardization of nutrient calculations in the clinical and food production areas, variety and purposes of various format options, the advantages of timesharing and plans for expansion of the system are discussed.

Patient Engagement Practices in Clinical Research among Patient Groups, Industry, and Academia in the United States: A Survey

PubMed Central

Smith, Sophia K.; Selig, Wendy; Harker, Matthew; Roberts, Jamie N.; Hesterlee, Sharon; Leventhal, David; Klein, Richard; Patrick-Lake, Bray; Abernethy, Amy P.

2015-01-01

Objective Patient-centered clinical trial design and execution is becoming increasingly important. No best practice guidelines exist despite a key stakeholder declaration to create more effective engagement models. This study aims to gain a better understanding of attitudes and practices for engaging patient groups so that actionable recommendations may be developed. Methods Individuals from industry, academic institutions, and patient groups were identified through Clinical Trials Transformation Initiative and Drug Information Association rosters and mailing lists. Objectives, practices, and perceived barriers related to engaging patient groups in the planning, conduct, and interpretation of clinical trials were reported in an online survey. Descriptive and inferential statistical analysis of survey data followed a literature review to inform survey questions. Results Survey respondents (n = 179) valued the importance of involving patient groups in research; however, patient group respondents valued their contributions to research protocol development, funding acquisition, and interpretation of study results more highly than those contributions were valued by industry and academic respondents (all p < .001). Patient group respondents placed higher value in open communications, clear expectations, and detailed contract execution than did non–patient group respondents (all p < .05). Industry and academic respondents more often cited internal bureaucratic processes and reluctance to share information as engagement barriers than did patient group respondents (all p < .01). Patient groups reported that a lack of transparency and understanding of the benefits of collaboration on the part of industry and academia were greater barriers than did non–patient group respondents (all p< .01). Conclusions Despite reported similarities among approaches to engagement by the three stakeholder groups, key differences exist in perceived barriers and benefits to partnering with patient groups among the sectors studied. This recognition could inform the development of best practices for patient-centered clinical trial design and execution. Additional research is needed to define and optimize key success factors. PMID:26465328

Patient Engagement Practices in Clinical Research among Patient Groups, Industry, and Academia in the United States: A Survey.

PubMed

Smith, Sophia K; Selig, Wendy; Harker, Matthew; Roberts, Jamie N; Hesterlee, Sharon; Leventhal, David; Klein, Richard; Patrick-Lake, Bray; Abernethy, Amy P

2015-01-01

Patient-centered clinical trial design and execution is becoming increasingly important. No best practice guidelines exist despite a key stakeholder declaration to create more effective engagement models. This study aims to gain a better understanding of attitudes and practices for engaging patient groups so that actionable recommendations may be developed. Individuals from industry, academic institutions, and patient groups were identified through Clinical Trials Transformation Initiative and Drug Information Association rosters and mailing lists. Objectives, practices, and perceived barriers related to engaging patient groups in the planning, conduct, and interpretation of clinical trials were reported in an online survey. Descriptive and inferential statistical analysis of survey data followed a literature review to inform survey questions. Survey respondents (n = 179) valued the importance of involving patient groups in research; however, patient group respondents valued their contributions to research protocol development, funding acquisition, and interpretation of study results more highly than those contributions were valued by industry and academic respondents (all p < .001). Patient group respondents placed higher value in open communications, clear expectations, and detailed contract execution than did non-patient group respondents (all p < .05). Industry and academic respondents more often cited internal bureaucratic processes and reluctance to share information as engagement barriers than did patient group respondents (all p < .01). Patient groups reported that a lack of transparency and understanding of the benefits of collaboration on the part of industry and academia were greater barriers than did non-patient group respondents (all p< .01). Despite reported similarities among approaches to engagement by the three stakeholder groups, key differences exist in perceived barriers and benefits to partnering with patient groups among the sectors studied. This recognition could inform the development of best practices for patient-centered clinical trial design and execution. Additional research is needed to define and optimize key success factors.

Using phrases and document metadata to improve topic modeling of clinical reports.

PubMed

Speier, William; Ong, Michael K; Arnold, Corey W

2016-06-01

Probabilistic topic models provide an unsupervised method for analyzing unstructured text, which have the potential to be integrated into clinical automatic summarization systems. Clinical documents are accompanied by metadata in a patient's medical history and frequently contains multiword concepts that can be valuable for accurately interpreting the included text. While existing methods have attempted to address these problems individually, we present a unified model for free-text clinical documents that integrates contextual patient- and document-level data, and discovers multi-word concepts. In the proposed model, phrases are represented by chained n-grams and a Dirichlet hyper-parameter is weighted by both document-level and patient-level context. This method and three other Latent Dirichlet allocation models were fit to a large collection of clinical reports. Examples of resulting topics demonstrate the results of the new model and the quality of the representations are evaluated using empirical log likelihood. The proposed model was able to create informative prior probabilities based on patient and document information, and captured phrases that represented various clinical concepts. The representation using the proposed model had a significantly higher empirical log likelihood than the compared methods. Integrating document metadata and capturing phrases in clinical text greatly improves the topic representation of clinical documents. The resulting clinically informative topics may effectively serve as the basis for an automatic summarization system for clinical reports. Copyright © 2016 Elsevier Inc. All rights reserved.

The Future of Clinical Education: Using Futuristic Scenarios to Explore Allied Health Deans' Perspectives on Clinical Education.

PubMed

Romig, Barbara D; Tucker, Ann W; Hewitt, Anne M; O'Sullivan Maillet, Julie

2017-01-01

There is limited information and consensus on the future of clinical education. The Delphi technique was selected to identify agreement among Association of Schools of Allied Health Professions' (ASAHP) allied health deans on the future (2018-2023) of allied health (AH) clinical education. Sixty-one AH deans, 54.9% (61 of 111) of the ASAHP membership, expressed opinions about clinical education through a three-round Delphi study. In conjunction with a conceptual model, four futuristic scenarios were used to encourage deans' feedback on the key factors impacting the future of clinical education. The responses to the four scenarios showed ways the external environment influences which activities the deans recommend. The results presented, by individual scenario and in totality, provide relevant and timely information on the importance and transformation of AH clinical education and its future. Futuristic scenarios, in combination with the Delphi technique, generated information where little exists specific to AH deans' perspectives on AH clinical education. The results offer deans opportunities for future strategic improvements. The use of the futuristic scenarios was suitable for guiding deans' responses and reaching agreement on the future of AH clinical education. These contributions reflect the imminent conditions and healthcare environment identified in the various scenarios and provide additional insight on key factors impacting the future for AH clinical education.

Common data model for natural language processing based on two existing standard information models: CDA+GrAF.

PubMed

Meystre, Stéphane M; Lee, Sanghoon; Jung, Chai Young; Chevrier, Raphaël D

2012-08-01

An increasing need for collaboration and resources sharing in the Natural Language Processing (NLP) research and development community motivates efforts to create and share a common data model and a common terminology for all information annotated and extracted from clinical text. We have combined two existing standards: the HL7 Clinical Document Architecture (CDA), and the ISO Graph Annotation Format (GrAF; in development), to develop such a data model entitled "CDA+GrAF". We experimented with several methods to combine these existing standards, and eventually selected a method wrapping separate CDA and GrAF parts in a common standoff annotation (i.e., separate from the annotated text) XML document. Two use cases, clinical document sections, and the 2010 i2b2/VA NLP Challenge (i.e., problems, tests, and treatments, with their assertions and relations), were used to create examples of such standoff annotation documents, and were successfully validated with the XML schemata provided with both standards. We developed a tool to automatically translate annotation documents from the 2010 i2b2/VA NLP Challenge format to GrAF, and automatically generated 50 annotation documents using this tool, all successfully validated. Finally, we adapted the XSL stylesheet provided with HL7 CDA to allow viewing annotation XML documents in a web browser, and plan to adapt existing tools for translating annotation documents between CDA+GrAF and the UIMA and GATE frameworks. This common data model may ease directly comparing NLP tools and applications, combining their output, transforming and "translating" annotations between different NLP applications, and eventually "plug-and-play" of different modules in NLP applications. Copyright © 2011 Elsevier Inc. All rights reserved.

Computational framework to support integration of biomolecular and clinical data within a translational approach.

PubMed

Miyoshi, Newton Shydeo Brandão; Pinheiro, Daniel Guariz; Silva, Wilson Araújo; Felipe, Joaquim Cezar

2013-06-06

The use of the knowledge produced by sciences to promote human health is the main goal of translational medicine. To make it feasible we need computational methods to handle the large amount of information that arises from bench to bedside and to deal with its heterogeneity. A computational challenge that must be faced is to promote the integration of clinical, socio-demographic and biological data. In this effort, ontologies play an essential role as a powerful artifact for knowledge representation. Chado is a modular ontology-oriented database model that gained popularity due to its robustness and flexibility as a generic platform to store biological data; however it lacks supporting representation of clinical and socio-demographic information. We have implemented an extension of Chado - the Clinical Module - to allow the representation of this kind of information. Our approach consists of a framework for data integration through the use of a common reference ontology. The design of this framework has four levels: data level, to store the data; semantic level, to integrate and standardize the data by the use of ontologies; application level, to manage clinical databases, ontologies and data integration process; and web interface level, to allow interaction between the user and the system. The clinical module was built based on the Entity-Attribute-Value (EAV) model. We also proposed a methodology to migrate data from legacy clinical databases to the integrative framework. A Chado instance was initialized using a relational database management system. The Clinical Module was implemented and the framework was loaded using data from a factual clinical research database. Clinical and demographic data as well as biomaterial data were obtained from patients with tumors of head and neck. We implemented the IPTrans tool that is a complete environment for data migration, which comprises: the construction of a model to describe the legacy clinical data, based on an ontology; the Extraction, Transformation and Load (ETL) process to extract the data from the source clinical database and load it in the Clinical Module of Chado; the development of a web tool and a Bridge Layer to adapt the web tool to Chado, as well as other applications. Open-source computational solutions currently available for translational science does not have a model to represent biomolecular information and also are not integrated with the existing bioinformatics tools. On the other hand, existing genomic data models do not represent clinical patient data. A framework was developed to support translational research by integrating biomolecular information coming from different "omics" technologies with patient's clinical and socio-demographic data. This framework should present some features: flexibility, compression and robustness. The experiments accomplished from a use case demonstrated that the proposed system meets requirements of flexibility and robustness, leading to the desired integration. The Clinical Module can be accessed in http://dcm.ffclrp.usp.br/caib/pg=iptrans.

SeqReporter: automating next-generation sequencing result interpretation and reporting workflow in a clinical laboratory.

PubMed

Roy, Somak; Durso, Mary Beth; Wald, Abigail; Nikiforov, Yuri E; Nikiforova, Marina N

2014-01-01

A wide repertoire of bioinformatics applications exist for next-generation sequencing data analysis; however, certain requirements of the clinical molecular laboratory limit their use: i) comprehensive report generation, ii) compatibility with existing laboratory information systems and computer operating system, iii) knowledgebase development, iv) quality management, and v) data security. SeqReporter is a web-based application developed using ASP.NET framework version 4.0. The client-side was designed using HTML5, CSS3, and Javascript. The server-side processing (VB.NET) relied on interaction with a customized SQL server 2008 R2 database. Overall, 104 cases (1062 variant calls) were analyzed by SeqReporter. Each variant call was classified into one of five report levels: i) known clinical significance, ii) uncertain clinical significance, iii) pending pathologists' review, iv) synonymous and deep intronic, and v) platform and panel-specific sequence errors. SeqReporter correctly annotated and classified 99.9% (859 of 860) of sequence variants, including 68.7% synonymous single-nucleotide variants, 28.3% nonsynonymous single-nucleotide variants, 1.7% insertions, and 1.3% deletions. One variant of potential clinical significance was re-classified after pathologist review. Laboratory information system-compatible clinical reports were generated automatically. SeqReporter also facilitated quality management activities. SeqReporter is an example of a customized and well-designed informatics solution to optimize and automate the downstream analysis of clinical next-generation sequencing data. We propose it as a model that may envisage the development of a comprehensive clinical informatics solution. Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

Towards the integration of medical informatics education for clinicians into the medical curriculum.

PubMed

Lungeanu, Diana; Tractenberg, Rochelle E; Bersan, Otilia S; Mihalas, George I

2009-01-01

In the context of an existing first year, one-semester mandatory course of medical informatics (MI) for medical students, we tested an interactive teaching approach in parallel with the traditional academic program. After six semesters (at the beginning of the clinical stage) we collected feedback from the former students in the two parallel programs (with anonymous questionnaires comprising both subjectively-rated items and open-ended questions). We conclude that an introductory course on information and communication technology and information skills can be useful at the beginning of the medical curriculum, while an interactive, problem-based-learning-type MI course should be included during the clinical stage. Early development of these skills, and their use/utility across the curriculum, are important aspects of integrating MI education into clinical training.

Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network.

PubMed

Yang, Zhongliang; Huang, Yongfeng; Jiang, Yiran; Sun, Yuxi; Zhang, Yu-Jin; Luo, Pengcheng

2018-04-20

Automatically extracting useful information from electronic medical records along with conducting disease diagnoses is a promising task for both clinical decision support(CDS) and neural language processing(NLP). Most of the existing systems are based on artificially constructed knowledge bases, and then auxiliary diagnosis is done by rule matching. In this study, we present a clinical intelligent decision approach based on Convolutional Neural Networks(CNN), which can automatically extract high-level semantic information of electronic medical records and then perform automatic diagnosis without artificial construction of rules or knowledge bases. We use collected 18,590 copies of the real-world clinical electronic medical records to train and test the proposed model. Experimental results show that the proposed model can achieve 98.67% accuracy and 96.02% recall, which strongly supports that using convolutional neural network to automatically learn high-level semantic features of electronic medical records and then conduct assist diagnosis is feasible and effective.

Federating Clinical Data from Six Pediatric Hospitals: Process and Initial Results from the PHIS+ Consortium

PubMed Central

Narus, Scott P.; Srivastava, Rajendu; Gouripeddi, Ramkiran; Livne, Oren E.; Mo, Peter; Bickel, Jonathan P.; de Regt, David; Hales, Joseph W.; Kirkendall, Eric; Stepanek, Richard L.; Toth, Jamie; Keren, Ron

2011-01-01

Integrating clinical data with administrative data across disparate electronic medical record systems will help improve the internal and external validity of comparative effectiveness research. The Pediatric Health Information System (PHIS) currently collects administrative information from 43 pediatric hospital members of the Child Health Corporation of America (CHCA). Members of the Pediatric Research in Inpatient Settings (PRIS) network have partnered with CHCA and the University of Utah Biomedical Informatics Core to create an enhanced version of PHIS that includes clinical data. A specialized version of a data federation architecture from the University of Utah (“FURTHeR”) is being developed to integrate the clinical data from the member hospitals into a common repository (“PHIS+”) that is joined with the existing administrative data. We report here on our process for the first phase of federating lab data, and present initial results. PMID:22195159

Managing Psychiatrist-Patient Relationships in the Digital Age: a Summary Review of the Impact of Technology-enabled Care on Clinical Processes and Rapport.

PubMed

Parish, Michelle Burke; Fazio, Sarina; Chan, Steven; Yellowlees, Peter M

2017-10-27

Participatory medicine and the availability of commercial technologies have given patients more options to view and track their health information and to communicate with their providers. This shift in the clinical process may be of particular importance in mental healthcare where rapport plays a significant role in the therapeutic process. In this review, we examined literature related to the impact of technology on the clinical workflow and patient-provider rapport in the mental health field between January 2014 and June 2017. Thirty three relevant articles, of 226 identified articles, were summarized. The use of technology clinically has evolved from making care more accessible and efficient to leveraging technology to improve care, communication, and patient-provider rapport. Evidence exists demonstrating that information and communication technologies may improve care by better connecting patients and providers and by improving patient-provider rapport, although further research is needed.

Paediatric team handover: a time to learn?

PubMed

Bradley, Stephen; Egan, John P; Henning, Marcus

2018-06-08

Paediatric team handovers provide medical professionals and students with the opportunity to exchange clinically relevant information about patients. This study explored the extent to which learning opportunities existed and were utilised within paediatric team handovers in New Zealand secondary hospitals. We undertook a qualitative, two-site case study within two paediatric departments in 2014 and 2015, and interviewed 29 participants, including medical students, junior doctors and consultants. We conducted a thematic analysis using a general inductive approach. Participants' narratives revealed that safe transfer of pertinent patient information between clinicians was the primary function of team handover. They described learning as an additional key component. Most learning opportunities were reported to be informal and opportunistic, related to the specific patients whose care was discussed within each handover. Handover team members indicated that implicit learning occurred as a feature of their handover experience. Learning opportunities exist within team handovers and the associated learning frequently occurs either opportunistically or implicitly. Adoption of a reflective approach to learning opportunities is likely to result in improved educational experiences for handover participants, particularly medical students and junior doctors. Handover represents a clinical event within which valuable workplace learning occurs.

75 FR 13550 - Office of Clinical and Preventive Services: National HIV Program

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-22

... (CDC) guidelines, and pre- and post-test counseling (when appropriate). Purpose These cooperative... tests with sexually transmitted diseases (STD) screening. II. Award Information Type of Awards... existing public health statutes. Test at least one previously-untested (not tested in the prior five years...

CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

PubMed

Soysal, Ergin; Wang, Jingqi; Jiang, Min; Wu, Yonghui; Pakhomov, Serguei; Liu, Hongfang; Xu, Hua

2017-11-24

Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to customize existing systems for their individual tasks, which can require substantial NLP skills. Here we present CLAMP (Clinical Language Annotation, Modeling, and Processing), a newly developed clinical NLP toolkit that provides not only state-of-the-art NLP components, but also a user-friendly graphic user interface that can help users quickly build customized NLP pipelines for their individual applications. Our evaluation shows that the CLAMP default pipeline achieved good performance on named entity recognition and concept encoding. We also demonstrate the efficiency of the CLAMP graphic user interface in building customized, high-performance NLP pipelines with 2 use cases, extracting smoking status and lab test values. CLAMP is publicly available for research use, and we believe it is a unique asset for the clinical NLP community. © 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.

Decision-Making Process Related to Participation in Phase I Clinical Trials: A Nonsystematic Review of the Existing Evidence.

PubMed

Gorini, Alessandra; Mazzocco, Ketti; Pravettoni, Gabriella

2015-01-01

Due to the lack of other treatment options, patient candidates for participation in phase I clinical trials are considered the most vulnerable, and many ethical concerns have emerged regarding the informed consent process used in the experimental design of such trials. Starting with these considerations, this nonsystematic review is aimed at analyzing the decision-making processes underlying patients' decision about whether to participate (or not) in phase I trials in order to clarify the cognitive and emotional aspects most strongly implicated in this decision. Considering that there is no uniform decision calculus and that many different variables other than the patient-physician relationship (including demographic, clinical, and personal characteristics) may influence patients' preferences for and processing of information, we conclude that patients' informed decision-making can be facilitated by creating a rigorously developed, calibrated, and validated computer tool modeled on each single patient's knowledge, values, and emotional and cognitive decisional skills. Such a tool will also help oncologists to provide tailored medical information that is useful to improve the shared decision-making process, thereby possibly increasing patient participation in clinical trials. © 2015 S. Karger AG, Basel.

Multimodal evaluation and management of children with concussion: using our heads and available evidence.

PubMed

Gioia, Gerard A

2015-01-01

Significant attention has been focused on concussions in children, but a dearth of research evidence exists supporting clinical evaluation and management. The primary objective of this review paper is to describe a multimodal, developmentally adapted, standardized concussion assessment and active rehabilitation approach for children as young as 5 years old. This study reviews the CDC-funded research programme, including the development of tools for post-concussion symptom assessment involving the child and parent, measurement of specific neurocognitive functions and assessment of dynamic cognitive exertional effects. A clinical approach to active, individualized, moderated concussion rehabilitation management is presented, including a 10-step guide to symptom management, with a specific focus on the school challenges faced by the recovering student. To better inform concussion practice across the developmental age spectrum, a significant need exists for further research evidence to refine clinical assessment methods and develop effective treatment approaches.

Multimodal Evaluation and Management of Children with Concussion: Using our heads and available evidence

PubMed Central

Gioia, Gerard A.

2015-01-01

Significant attention has been focused on concussions in children but a dearth of research evidence exists supporting clinical evaluation and management. The primary objective of this review paper is to describe a multimodal, developmentally adapted, standardized concussion assessment and active rehabilitation approach for children as young as age five. We review our CDC-funded research program including the development of tools for post-concussion symptom assessment involving the child and parent, measurement of specific neurocognitive functions, and assessment of dynamic cognitive exertional effects. A clinical approach to active, individualized, moderated concussion rehabilitation management is presented, including a ten step guide to symptom management, with a specific focus on the school challenges faced by the recovering student. To better inform concussion practice across the developmental age spectrum, a significant need exists for further research evidence to refine our clinical assessment methods and develop effective treatment approaches. PMID:25356518

Update of the Mexican College of Rheumatology guidelines for the pharmacologic treatment of rheumatoid arthritis.

PubMed

Cardiel, Mario H; Díaz-Borjón, Alejandro; Vázquez del Mercado Espinosa, Mónica; Gámez-Nava, Jorge Iván; Barile Fabris, Leonor A; Pacheco Tena, César; Silveira Torre, Luis H; Pascual Ramos, Virginia; Goycochea Robles, María Victoria; Aguilar Arreola, Jorge Enrique; González Díaz, Verónica; Alvarez Nemegyei, José; González-López, Laura del Carmen; Salazar Páramo, Mario; Portela Hernández, Margarita; Castro Colín, Zully; Xibillé Friedman, Daniel Xavier; Alvarez Hernández, Everardo; Casasola Vargas, Julio; Cortés Hernández, Miguel; Flores-Alvarado, Diana E; Martínez Martínez, Laura A; Vega-Morales, David; Flores-Suárez, Luis Felipe; Medrano Ramírez, Gabriel; Barrera Cruz, Antonio; García González, Adolfo; López López, Susana Marisela; Rosete Reyes, Alejandra; Espinosa Morales, Rolando

2014-01-01

The pharmacologic management of rheumatoid arthritis has progressed substantially over the past years. It is therefore desirable that existing information be periodically updated. There are several published international guidelines for the treatment of rheumatoid arthritis that hardly adapt to the Mexican health system because of its limited healthcare resources. Hence, it is imperative to unify the existing recommendations and to incorporate them to a set of clinical, updated recommendations; the Mexican College of Rheumatology developed these recommendations in order to offer an integral management approach of rheumatoid arthritis according to the resources of the Mexican health system. To review, update and improve the available evidence within clinical practice guidelines on the pharmacological management of rheumatoid arthritis and produce a set of recommendations adapted to the Mexican health system, according to evidence available through December 2012. The working group was composed of 30 trained and experienced rheumatologists with a high quality of clinical knowledge and judgment. Recommendations were based on the highest quality evidence from the previously established treatment guidelines, meta-analysis and controlled clinical trials for the adult population with rheumatoid arthritis. During the conformation of this document, each working group settled the existing evidence from the different topics according to their experience. Finally, all the evidence and decisions were unified into a single document, treatment algorithm and drug standardization tables. This update of the Mexican Guidelines for the Pharmacologic Treatment of Rheumatoid Arthritis provides the highest quality information available at the time the working group undertook this review and contextualizes its use for the complex Mexican health system. Copyright © 2013 Elsevier España, S.L. All rights reserved.

Current status of integrating information technologies into the clinical research enterprise within US academic health centers: strategic value and opportunities for investment.

PubMed

Turisco, Fran; Keogh, Diane; Stubbs, Connie; Glaser, John; Crowley, William F

2005-12-01

Little information exists about the incorporation of information technologies (ITs) into clinical research processes within US academic health centers (AHCs). Therefore, we queried a group of 37 leading AHCs regarding their current status and future plans in clinical research IT. The survey specifically inquired about the presence or absence of basic infrastructure and IT support requirements; individual applications needed to support study preparation, study conduct, and its administrative support; and integration of data from basic research, clinical trials, and the clinical information systems increasingly used in health care delivery. Of the 37 AHCs, 78% responded. All strongly agreed that a "state-of-the-art" clinical research IT program would be ideal today and will be essential tomorrow. Nonetheless, no AHC currently has an IT solution that even approached this ideal. No AHC reported having all of the essential management foundations (ie, a coherent vision, an overall strategy, a governance structure, and a dedicated budget) necessary to launch and sustain a truly successful implementation of a cohesive clinical research IT platform. Many had achieved breakthroughs in individual aspects of clinical research IT, for example, adverse event reporting systems or consent form templates. However, overall implementation of IT to support clinical research is uneven and insufficient. These data document a substantial gap in clinical research IT investments in leading US AHCs. Linking the clinical research IT enterprise with its clinical operations in a meaningful fashion remains a crucial strategic goal of AHCs. If they are to continue to serve as the "translational research engines" that our society expects, AHCs must recognize this gap and allocate substantial resource deployment to remedying this situation.

Experiences with developing and implementing a virtual clinic for glaucoma care in an NHS setting.

PubMed

Kotecha, Aachal; Baldwin, Alex; Brookes, John; Foster, Paul J

2015-01-01

This article describes the development of a virtual glaucoma clinic, whereby technicians collect information for remote review by a consultant specialist. This was a hospital-based service evaluation study. Patients suitable for the stable monitoring service (SMS) were low-risk patients with "suspect", "early"-to-"moderate" glaucoma who were deemed stable by their consultant care team. Three technicians and one health care assistant ran the service. Patients underwent tests in a streamlined manner in a dedicated clinical facility, with virtual review of data by a consultant specialist through an electronic patient record. Feasibility of developing a novel service within a UK National Health Service setting and improvement of patient journey time within the service were studied. Challenges to implementation of virtual clinic include staffing issues and use of information technology. Patient journey time within the SMS averaged 51 minutes, compared with 92 minutes in the glaucoma outpatient department. Patient satisfaction with the new service was high. Implementing innovation into existing services of the National Health Service is challenging. However, the virtual clinic showed an improved patient journey time compared with that experienced within the general glaucoma outpatient department. There exists a discrepancy between patient management decisions of reviewers, suggesting that some may be more risk averse than others when managing patients seen within this model. Future work will assess the ability to detect progression of disease in this model compared with the general outpatient model of care.

Benefits of dietary fiber in clinical nutrition.

PubMed

Klosterbuer, Abby; Roughead, Zamzam Fariba; Slavin, Joanne

2011-10-01

Dietary fiber is widely recognized as an important part of a healthy diet and is a common addition to enteral nutrition (EN) formulas. Fiber sources differ in characteristics such as solubility, fermentability, and viscosity, and it is now well known that different types of fiber exert varying physiological effects in the body. Clinical studies suggest fiber can exert a wide range of benefits in areas such as bowel function, gut health, immunity, blood glucose control, and serum lipid levels. Although early clinical nutrition products contained fiber from a single source, it is now thought that blends of fiber from multiple sources more closely resemble a regular diet and may provide a greater range of benefits for the patient. Current recommendations support the use of dietary fiber in clinical nutrition when no contraindications exist, but little information exists about which types and combinations of fibers provide the relevant benefit in certain patient populations. This article summarizes the different types of fiber commonly added to EN products and reviews the current literature on the use of fiber blends in clinical nutrition.

Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.

PubMed

Chen, Jonathan H; Goldstein, Mary K; Asch, Steven M; Mackey, Lester; Altman, Russ B

2017-05-01

Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets. The authors evaluated the first 24 hours of structured electronic health record data for > 10 K inpatients. Drawing an analogy between structured items (e.g., clinical orders) to words in a text document, the authors performed latent Dirichlet allocation probabilistic topic modeling. These topic models use initial clinical information to predict clinical orders for a separate validation set of > 4 K patients. The authors evaluated these topic model-based predictions vs existing human-authored order sets by area under the receiver operating characteristic curve, precision, and recall for subsequent clinical orders. Existing order sets predict clinical orders used within 24 hours with area under the receiver operating characteristic curve 0.81, precision 16%, and recall 35%. This can be improved to 0.90, 24%, and 47% ( P  < 10 -20 ) by using probabilistic topic models to summarize clinical data into up to 32 topics. Many of these latent topics yield natural clinical interpretations (e.g., "critical care," "pneumonia," "neurologic evaluation"). Existing order sets tend to provide nonspecific, process-oriented aid, with usability limitations impairing more precise, patient-focused support. Algorithmic summarization has the potential to breach this usability barrier by automatically inferring patient context, but with potential tradeoffs in interpretability. Probabilistic topic modeling provides an automated approach to detect thematic trends in patient care and generate decision support content. A potential use case finds related clinical orders for decision support. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets

PubMed Central

Goldstein, Mary K; Asch, Steven M; Mackey, Lester; Altman, Russ B

2017-01-01

Objective: Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets. Materials and Methods: The authors evaluated the first 24 hours of structured electronic health record data for > 10 K inpatients. Drawing an analogy between structured items (e.g., clinical orders) to words in a text document, the authors performed latent Dirichlet allocation probabilistic topic modeling. These topic models use initial clinical information to predict clinical orders for a separate validation set of > 4 K patients. The authors evaluated these topic model-based predictions vs existing human-authored order sets by area under the receiver operating characteristic curve, precision, and recall for subsequent clinical orders. Results: Existing order sets predict clinical orders used within 24 hours with area under the receiver operating characteristic curve 0.81, precision 16%, and recall 35%. This can be improved to 0.90, 24%, and 47% (P < 10−20) by using probabilistic topic models to summarize clinical data into up to 32 topics. Many of these latent topics yield natural clinical interpretations (e.g., “critical care,” “pneumonia,” “neurologic evaluation”). Discussion: Existing order sets tend to provide nonspecific, process-oriented aid, with usability limitations impairing more precise, patient-focused support. Algorithmic summarization has the potential to breach this usability barrier by automatically inferring patient context, but with potential tradeoffs in interpretability. Conclusion: Probabilistic topic modeling provides an automated approach to detect thematic trends in patient care and generate decision support content. A potential use case finds related clinical orders for decision support. PMID:27655861

ImTK: an open source multi-center information management toolkit

NASA Astrophysics Data System (ADS)

Alaoui, Adil; Ingeholm, Mary Lou; Padh, Shilpa; Dorobantu, Mihai; Desai, Mihir; Cleary, Kevin; Mun, Seong K.

2008-03-01

The Information Management Toolkit (ImTK) Consortium is an open source initiative to develop robust, freely available tools related to the information management needs of basic, clinical, and translational research. An open source framework and agile programming methodology can enable distributed software development while an open architecture will encourage interoperability across different environments. The ISIS Center has conceptualized a prototype data sharing network that simulates a multi-center environment based on a federated data access model. This model includes the development of software tools to enable efficient exchange, sharing, management, and analysis of multimedia medical information such as clinical information, images, and bioinformatics data from multiple data sources. The envisioned ImTK data environment will include an open architecture and data model implementation that complies with existing standards such as Digital Imaging and Communications (DICOM), Health Level 7 (HL7), and the technical framework and workflow defined by the Integrating the Healthcare Enterprise (IHE) Information Technology Infrastructure initiative, mainly the Cross Enterprise Document Sharing (XDS) specifications.

Automated realtime data import for the i2b2 clinical data warehouse: introducing the HL7 ETL cell.

PubMed

Majeed, Raphael W; Röhrig, Rainer

2012-01-01

Clinical data warehouses are used to consolidate all available clinical data from one or multiple organizations. They represent an important source for clinical research, quality management and controlling. Since its introduction, the data warehouse i2b2 gathered a large user base in the research community. Yet, little work has been done on the process of importing clinical data into data warehouses using existing standards. In this article, we present a novel approach of utilizing the clinical integration server as data source, commonly available in most hospitals. As information is transmitted through the integration server, the standardized HL7 message is immediately parsed and inserted into the data warehouse. Evaluation of import speeds suggest feasibility of the provided solution for real-time processing of HL7 messages. By using the presented approach of standardized data import, i2b2 can be used as a plug and play data warehouse, without the hurdle of customized import for every clinical information system or electronic medical record. The provided solution is available for download at http://sourceforge.net/projects/histream/.

Automation of CT-based haemorrhagic stroke assessment for improved clinical outcomes: study protocol and design.

PubMed

Chinda, Betty; Medvedev, George; Siu, William; Ester, Martin; Arab, Ali; Gu, Tao; Moreno, Sylvain; D'Arcy, Ryan C N; Song, Xiaowei

2018-04-19

Haemorrhagic stroke is of significant healthcare concern due to its association with high mortality and lasting impact on the survivors' quality of life. Treatment decisions and clinical outcomes depend strongly on the size, spread and location of the haematoma. Non-contrast CT (NCCT) is the primary neuroimaging modality for haematoma assessment in haemorrhagic stroke diagnosis. Current procedures do not allow convenient NCCT-based haemorrhage volume calculation in clinical settings, while research-based approaches are yet to be tested for clinical utility; there is a demonstrated need for developing effective solutions. The project under review investigates the development of an automatic NCCT-based haematoma computation tool in support of accurate quantification of haematoma volumes. Several existing research methods for haematoma volume estimation are studied. Selected methods are tested using NCCT images of patients diagnosed with acute haemorrhagic stroke. For inter-rater and intrarater reliability evaluation, different raters will analyse haemorrhage volumes independently. The efficiency with respect to time of haematoma volume assessments will be examined to compare with the results from routine clinical evaluations and planimetry assessment that are known to be more accurate. The project will target the development of an enhanced solution by adapting existing methods and integrating machine learning algorithms. NCCT-based information of brain haemorrhage (eg, size, volume, location) and other relevant information (eg, age, sex, risk factor, comorbidities) will be used in relation to clinical outcomes with future project development. Validity and reliability of the solution will be examined for potential clinical utility. The project including procedures for deidentification of NCCT data has been ethically approved. The study involves secondary use of existing data and does not require new consent of participation. The team consists of clinical neuroimaging scientists, computing scientists and clinical professionals in neurology and neuroradiology and includes patient representatives. Research outputs will be disseminated following knowledge translation plans towards improving stroke patient care. Significant findings will be published in scientific journals. Anticipated deliverables include computer solutions for improved clinical assessment of haematoma using NCCT. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Desiderata for a Computer-Assisted Audit Tool for Clinical Data Source Verification Audits

PubMed Central

Duda, Stephany N.; Wehbe, Firas H.; Gadd, Cynthia S.

2013-01-01

Clinical data auditing often requires validating the contents of clinical research databases against source documents available in health care settings. Currently available data audit software, however, does not provide features necessary to compare the contents of such databases to source data in paper medical records. This work enumerates the primary weaknesses of using paper forms for clinical data audits and identifies the shortcomings of existing data audit software, as informed by the experiences of an audit team evaluating data quality for an international research consortium. The authors propose a set of attributes to guide the development of a computer-assisted clinical data audit tool to simplify and standardize the audit process. PMID:20841814

Redesign of a computerized clinical reminder for colorectal cancer screening: a human-computer interaction evaluation

PubMed Central

2011-01-01

Background Based on barriers to the use of computerized clinical decision support (CDS) learned in an earlier field study, we prototyped design enhancements to the Veterans Health Administration's (VHA's) colorectal cancer (CRC) screening clinical reminder to compare against the VHA's current CRC reminder. Methods In a controlled simulation experiment, 12 primary care providers (PCPs) used prototypes of the current and redesigned CRC screening reminder in a within-subject comparison. Quantitative measurements were based on a usability survey, workload assessment instrument, and workflow integration survey. We also collected qualitative data on both designs. Results Design enhancements to the VHA's existing CRC screening clinical reminder positively impacted aspects of usability and workflow integration but not workload. The qualitative analysis revealed broad support across participants for the design enhancements with specific suggestions for improving the reminder further. Conclusions This study demonstrates the value of a human-computer interaction evaluation in informing the redesign of information tools to foster uptake, integration into workflow, and use in clinical practice. PMID:22126324

Impact of the Patient-Reported Outcomes Management Information System (PROMIS) upon the design and operation of multi-center clinical trials: a qualitative research study.

PubMed

Eisenstein, Eric L; Diener, Lawrence W; Nahm, Meredith; Weinfurt, Kevin P

2011-12-01

New technologies may be required to integrate the National Institutes of Health's Patient Reported Outcome Management Information System (PROMIS) into multi-center clinical trials. To better understand this need, we identified likely PROMIS reporting formats, developed a multi-center clinical trial process model, and identified gaps between current capabilities and those necessary for PROMIS. These results were evaluated by key trial constituencies. Issues reported by principal investigators fell into two categories: acceptance by key regulators and the scientific community, and usability for researchers and clinicians. Issues reported by the coordinating center, participating sites, and study subjects were those faced when integrating new technologies into existing clinical trial systems. We then defined elements of a PROMIS Tool Kit required for integrating PROMIS into a multi-center clinical trial environment. The requirements identified in this study serve as a framework for future investigators in the design, development, implementation, and operation of PROMIS Tool Kit technologies.

Impact of the Patient-Reported Outcomes Management Information System (PROMIS) upon the Design and Operation of Multi-center Clinical Trials: a Qualitative Research Study

PubMed Central

Diener, Lawrence W.; Nahm, Meredith; Weinfurt, Kevin P.

2013-01-01

New technologies may be required to integrate the National Institutes of Health’s Patient Reported Outcome Management Information System (PROMIS) into multi-center clinical trials. To better understand this need, we identified likely PROMIS reporting formats, developed a multi-center clinical trial process model, and identified gaps between current capabilities and those necessary for PROMIS. These results were evaluated by key trial constituencies. Issues reported by principal investigators fell into two categories: acceptance by key regulators and the scientific community, and usability for researchers and clinicians. Issues reported by the coordinating center, participating sites, and study subjects were those faced when integrating new technologies into existing clinical trial systems. We then defined elements of a PROMIS Tool Kit required for integrating PROMIS into a multi-center clinical trial environment. The requirements identified in this study serve as a framework for future investigators in the design, development, implementation, and operation of PROMIS Tool Kit technologies. PMID:20703765

What do doctors and nurses think about development of clinical leadership?

PubMed

Lo, David; Till, Alex; McKimm, Judy

2017-09-02

Leadership development for health-care professionals is a priority within the NHS. Training is generally targeted at individual staff groups in isolation, even though contemporary leadership thinking recognizes the benefits of collaborative leadership between different clinical disciplines. Focussing on the attitudes and perceived training needs of undergraduate and qualified medical and nursing professionals, this article highlights the similarities and differences and will help to inform the design of existing and future leadership programmes.

Gender Parity in Critical Care Medicine.

PubMed

Mehta, Sangeeta; Burns, Karen E A; Machado, Flavia R; Fox-Robichaud, Alison E; Cook, Deborah J; Calfee, Carolyn S; Ware, Lorraine B; Burnham, Ellen L; Kissoon, Niranjan; Marshall, John C; Mancebo, Jordi; Finfer, Simon; Hartog, Christiane; Reinhart, Konrad; Maitland, Kathryn; Stapleton, Renee D; Kwizera, Arthur; Amin, Pravin; Abroug, Fekri; Smith, Orla; Laake, Jon H; Shrestha, Gentle S; Herridge, Margaret S

2017-08-15

Clinical practice guidelines are systematically developed statements to assist practitioner and patient decisions about appropriate health care for specific clinical circumstances. These documents inform and shape patient care around the world. In this Perspective we discuss the importance of diversity on guideline panels, the disproportionately low representation of women on critical care guideline panels, and existing initiatives to increase the representation of women in corporations, universities, and government. We propose five strategies to ensure gender parity within critical care medicine.

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.

Parent-Collected Behavioral Observations: An Empirical Comparison of Methods

ERIC Educational Resources Information Center

Nadler, Cy B.; Roberts, Mark W.

2013-01-01

Treatments for disruptive behaviors are often guided by parent reports on questionnaires, rather than by multiple methods of assessment. Professional observations and clinic analogs exist to complement questionnaires, but parents can also collect useful behavioral observations to inform and guide treatment. Two parent observation methods of child…

The laboratory-clinician team: a professional call to action to improve communication and collaboration for optimal patient care in chromosomal microarray testing.

PubMed

Wain, Karen E; Riggs, Erin; Hanson, Karen; Savage, Melissa; Riethmaier, Darlene; Muirhead, Andrea; Mitchell, Elyse; Packard, Bethanny Smith; Faucett, W Andrew

2012-10-01

The International Standards for Cytogenomic Arrays (ISCA) Consortium is a worldwide collaborative effort dedicated to optimizing patient care by improving the quality of chromosomal microarray testing. The primary effort of the ISCA Consortium has been the development of a database of copy number variants (CNVs) identified during the course of clinical microarray testing. This database is a powerful resource for clinicians, laboratories, and researchers, and can be utilized for a variety of applications, such as facilitating standardized interpretations of certain CNVs across laboratories or providing phenotypic information for counseling purposes when published data is sparse. A recognized limitation to the clinical utility of this database, however, is the quality of clinical information available for each patient. Clinical genetic counselors are uniquely suited to facilitate the communication of this information to the laboratory by virtue of their existing clinical responsibilities, case management skills, and appreciation of the evolving nature of scientific knowledge. We intend to highlight the critical role that genetic counselors play in ensuring optimal patient care through contributing to the clinical utility of the ISCA Consortium's database, as well as the quality of individual patient microarray reports provided by contributing laboratories. Current tools, paper and electronic forms, created to maximize this collaboration are shared. In addition to making a professional commitment to providing complete clinical information, genetic counselors are invited to become ISCA members and to become involved in the discussions and initiatives within the Consortium.

Complication Reducing Effect of the Information Technology-Based Diabetes Management System on Subjects with Type 2 Diabetes

PubMed Central

Cho, Jae-Hyoung; Lee, Jin-Hee; Oh, Jeong-Ah; Kang, Mi-Ja; Choi, Yoon-Hee; Kwon, Hyuk-Sang; Chang, Sang-Ah; Cha, Bong-Yun; Son, Ho-Young; Yoon, Kun-Ho

2008-01-01

Objective We introduced a new information technology-based diabetes management system, called the Internet-based glucose monitoring system (IBGMS), and demonstrated its short-term and long-term favorable effects. However, there has been no report on clinical effects of such a new diabetes management system on the development of diabetic complications so far. This study was used to simulate the complication reducing effect of the IBGMS, given in addition to existing treatments in patients with type 2 diabetes. Research Design and Methods The CORE Diabetes Model, a peer-reviewed, published, validated computer simulation model, was used to project long-term clinical outcomes in type 2 diabetes patients receiving the IBGMS in addition to their existing treatment. The model combined standard Markov submodels to simulate the incidence and progression of diabetes-related complications. Results The addition of IBGMS was associated with improvements in reducing diabetic complications, mainly microangiopathic complications, including diabetic retinopathy, diabetic neuropathy, diabetic nephropathy, and diabetic foot ulcer. The IBGMS also delayed the development of all diabetic complications for more than 1 year. Conclusions This study demonstrated that the simulated IBGMS, compared to existing treatment, was associated with a reduction of diabetic complications. As a result, it provides valuable evidence for practical application to the public in the world. PMID:19885180

AACR precision medicine series: Highlights of the integrating clinical genomics and cancer therapy meeting.

PubMed

Maggi, Elaine; Montagna, Cristina

2015-12-01

The American Association for Cancer Research (AACR) Precision Medicine Series "Integrating Clinical Genomics and Cancer Therapy" took place June 13-16, 2015 in Salt Lake City, Utah. The conference was co-chaired by Charles L. Sawyers form Memorial Sloan Kettering Cancer Center in New York, Elaine R. Mardis form Washington University School of Medicine in St. Louis, and Arul M. Chinnaiyan from University of Michigan in Ann Arbor. About 500 clinicians, basic science investigators, bioinformaticians, and postdoctoral fellows joined together to discuss the current state of Clinical Genomics and the advances and challenges of integrating Next Generation Sequencing (NGS) technologies into clinical practice. The plenary sessions and panel discussions covered current platforms and sequencing approaches adopted for NGS assays of cancer genome at several national and international institutions, different approaches used to map and classify targetable sequence variants, and how information acquired with the sequencing of the cancer genome is used to guide treatment options. While challenges still exist from a technological perspective, it emerged that there exists considerable need for the development of tools to aid the identification of the therapy most suitable based on the mutational profile of the somatic cancer genome. The process to match patients to ongoing clinical trials is still complex. In addition, the need for centralized data repositories, preferably linked to well annotated clinical records, that aid sharing of sequencing information is central to begin understanding the contribution of variants of unknown significance to tumor etiology and response to therapy. Here we summarize the highlights of this stimulating four-day conference with a major emphasis on the open problems that the clinical genomics community is currently facing and the tools most needed for advancing this field. Copyright © 2015. Published by Elsevier B.V. All rights reserved.

Information technology model for evaluating emergency medicine teaching

NASA Astrophysics Data System (ADS)

Vorbach, James; Ryan, James

1996-02-01

This paper describes work in progress to develop an Information Technology (IT) model and supporting information system for the evaluation of clinical teaching in the Emergency Medicine (EM) Department of North Shore University Hospital. In the academic hospital setting student physicians, i.e. residents, and faculty function daily in their dual roles as teachers and students respectively, and as health care providers. Databases exist that are used to evaluate both groups in either academic or clinical performance, but rarely has this information been integrated to analyze the relationship between academic performance and the ability to care for patients. The goal of the IT model is to improve the quality of teaching of EM physicians by enabling the development of integrable metrics for faculty and resident evaluation. The IT model will include (1) methods for tracking residents in order to develop experimental databases; (2) methods to integrate lecture evaluation, clinical performance, resident evaluation, and quality assurance databases; and (3) a patient flow system to monitor patient rooms and the waiting area in the Emergency Medicine Department, to record and display status of medical orders, and to collect data for analyses.

Differential effects on socioeconomic groups of modelling the location of mammography screening clinics using Geographic Information Systems.

PubMed

Hyndman, J C; Holman, C D

2000-06-01

To evaluate spatial access to mammography clinics and to investigate whether relocating clinics can improve global access. To determine whether any change in access is distributed equitably between different social groups. The study was undertaken in Perth, Western Australia in 1996. It was an analysis of travel distances to mammography clinics, comparing distances to the pattern of existing clinics and modelled relocated clinics. The study population was the 151,162 women aged 40-64 years resident in Perth in 1991. Overall travel distances to the existing clinics was reduced by 14% when a GIS system was used to relocate them so as to minimise the travel distance for all women. The travel distance of the most disadvantaged groups fell by 2% and by 24% for the least disadvantaged group. GIS modelling can be used to advantage to evaluate potential locations for screening clinics that improve the access for the target population, however global analysis should be supplemented by analysis of special groups to ensure that no group is disadvantaged by the proposal. If new technology is not used to evaluate the placement of health services, population travel distances may be greater than necessary, with possible impacts on attendance rates.

Clinical professional governance for detailed clinical models.

PubMed

Goossen, William; Goossen-Baremans, Anneke

2013-01-01

This chapter describes the need for Detailed Clinical Models for contemporary Electronic Health Systems, data exchange and data reuse. It starts with an explanation of the components related to Detailed Clinical Models with a brief summary of knowledge representation, including terminologies representing clinic relevant "things" in the real world, and information models that abstract these in order to let computers process data about these things. Next, Detailed Clinical Models are defined and their purpose is described. It builds on existing developments around the world and accumulates in current work to create a technical specification at the level of the International Standards Organization. The core components of properly expressed Detailed Clinical Models are illustrated, including clinical knowledge and context, data element specification, code bindings to terminologies and meta-information about authors, versioning among others. Detailed Clinical Models to date are heavily based on user requirements and specify the conceptual and logical levels of modelling. It is not precise enough for specific implementations, which requires an additional step. However, this allows Detailed Clinical Models to serve as specifications for many different kinds of implementations. Examples of Detailed Clinical Models are presented both in text and in Unified Modelling Language. Detailed Clinical Models can be positioned in health information architectures, where they serve at the most detailed granular level. The chapter ends with examples of projects that create and deploy Detailed Clinical Models. All have in common that they can often reuse materials from earlier projects, and that strict governance of these models is essential to use them safely in health care information and communication technology. Clinical validation is one point of such governance, and model testing another. The Plan Do Check Act cycle can be applied for governance of Detailed Clinical Models. Finally, collections of clinical models do require a repository in which they can be stored, searched, and maintained. Governance of Detailed Clinical Models is required at local, national, and international levels.

Age-Associated Differences in Cognitive Performance in Older Community Dwelling Schizophrenia Patients: Differential Sensitivity of Clinical Neuropsychological and Experimental Information Processing Tests

PubMed Central

Bowie, Christopher R.; Reichenberg, Abraham; McClure, Margaret M.; Leung, Winnie L.; Harvey, Philip D.

2008-01-01

Cognitive dysfunction is a common feature of schizophrenia and deficits are present before the onset of psychosis, and are moderate to severe by the time of the first episode. Controversy exists over the course of cognitive dysfunction after the first episode. This study examined age-associated differences in performance on clinical neuropsychological (NP) and information processing tasks in a sample of geriatric community living schizophrenia patients (n=172). Compared to healthy control subjects (n=70), people with schizophrenia did not differ on NP tests across age groups but showed evidence for age-associated cognitive worsening on the more complex components of an information-processing test. Age-related changes in cognitive function in schizophrenia may be a function of both the course of illness and the processing demands of the cognitive measure of interest. Tests with fixed difficulty, such as clinical NP tests, may differ in their sensitivity from tests for which parametric difficulty manipulations can be performed. PMID:18053687

Laying the Groundwork for Enterprise-Wide Medical Language Processing Services: Architecture and Process

PubMed Central

Chen, Elizabeth S.; Maloney, Francine L.; Shilmayster, Eugene; Goldberg, Howard S.

2009-01-01

A systematic and standard process for capturing information within free-text clinical documents could facilitate opportunities for improving quality and safety of patient care, enhancing decision support, and advancing data warehousing across an enterprise setting. At Partners HealthCare System, the Medical Language Processing (MLP) services project was initiated to establish a component-based architectural model and processes to facilitate putting MLP functionality into production for enterprise consumption, promote sharing of components, and encourage reuse. Key objectives included exploring the use of an open-source framework called the Unstructured Information Management Architecture (UIMA) and leveraging existing MLP-related efforts, terminology, and document standards. This paper describes early experiences in defining the infrastructure and standards for extracting, encoding, and structuring clinical observations from a variety of clinical documents to serve enterprise-wide needs. PMID:20351830

Laying the groundwork for enterprise-wide medical language processing services: architecture and process.

PubMed

Chen, Elizabeth S; Maloney, Francine L; Shilmayster, Eugene; Goldberg, Howard S

2009-11-14

A systematic and standard process for capturing information within free-text clinical documents could facilitate opportunities for improving quality and safety of patient care, enhancing decision support, and advancing data warehousing across an enterprise setting. At Partners HealthCare System, the Medical Language Processing (MLP) services project was initiated to establish a component-based architectural model and processes to facilitate putting MLP functionality into production for enterprise consumption, promote sharing of components, and encourage reuse. Key objectives included exploring the use of an open-source framework called the Unstructured Information Management Architecture (UIMA) and leveraging existing MLP-related efforts, terminology, and document standards. This paper describes early experiences in defining the infrastructure and standards for extracting, encoding, and structuring clinical observations from a variety of clinical documents to serve enterprise-wide needs.

Healthcare information technology and medical-surgical nurses: the emergence of a new care partnership.

PubMed

Moore, An'Nita; Fisher, Kathleen

2012-03-01

Healthcare information technology in US hospitals and ambulatory care centers continues to expand, and nurses are expected to effectively and efficiently utilize this technology. Researchers suggest that clinical information systems have expanded the realm of nursing to integrate technology as an element as important in nursing practice as the patient or population being served. This study sought to explore how medical surgical nurses make use of healthcare information technology in their current clinical practice and to examine the influence of healthcare information technology on nurses' clinical decision making. A total of eight medical surgical nurses participated in the study, four novice and four experienced. A conventional content analysis was utilized that allowed for a thematic interpretation of participant data. Five themes emerged: (1) healthcare information technology as a care coordination partner, (2) healthcare information technology as a change agent in the care delivery environment, (3) healthcare information technology-unable to meet all the needs, of all the people, all the time, (4) curiosity about healthcare information technology-what other bells and whistles exist, and (5) Big Brother is watching. The results of this study indicate that a new care partnership has emerged as the provision of nursing care is no longer supplied by a single practitioner but rather by a paired team, consisting of nurses and technology, working collaboratively in an interdependent relationship to achieve established goals.

Opportunities to Foster Efficient Communication in Labor and Delivery Using Simulation.

PubMed

Daniels, Kay; Hamilton, Colleen; Crowe, Susan; Lipman, Steven S; Halamek, Louis P; Lee, Henry C

2017-01-01

Introduction  Communication errors are an important contributing factor in adverse outcomes in labor and delivery (L&D) units. The objective of this study was to identify common lapses in verbal communication using simulated obstetrical scenarios and propose alternative formats for communication. Methods  Health care professionals in L&D participated in three simulated clinical scenarios. Scenarios were recorded and reviewed to identify questions repeated within and across scenarios. Questions that were repeated more than once due to ineffective communication were identified. The frequency with which the questions were asked across simulations was identified. Results  Questions were commonly repeated both within and across 27 simulated scenarios. The median number of questions asked was 27 per simulated scenario. Commonly repeated questions focused on three general topics: (1) historical data/information (i.e., estimated gestational age), (2) maternal clinical status (i.e., estimated blood loss), and (3) personnel (i.e., "Has anesthesiologist been called?"). Conclusion  Inefficient verbal communication exists in the process of transferring information during obstetric emergencies. These findings can inform improved training and development of information displays to improve teamwork and communication. A visual display that can report static historical information and specific dynamic clinical data may facilitate optimal human performance.

Technological Ecosystems in Health Informatics: A Brief Review Article.

PubMed

Wu, Zhongmei; Zhang, Xiuxiu; Chen, Ying; Zhang, Yan

2016-09-01

The existing models of information technology in health sciences have full scope of betterment and extension. The high demand pressures, public expectations, advanced platforms all collectively contribute towards hospital environment, which has to be kept in kind while designing of advanced technological ecosystem for information technology. Moreover, for the smooth conduct and operation of information system advanced management avenues are also essential in hospitals. It is the top priority of every hospital to deal with the essential needs of care for patients within the available resources of human and financial outputs. In these situations of high demand, the technological ecosystems in health informatics come in to play and prove its importance and role. The present review article would enlighten all these aspects of these ecosystems in hospital management and health care informatics. We searched the electronic database of MEDLINE, EMBASE, and PubMed for clinical controlled trials, pre-clinical studies reporting utilizaiono of ecosysyem advances in health information technology. The primary outcome of eligible studies included confirmation of importance and role of advances ecosystems in health informatics. It was observed that technological ecosystems are the backbone of health informatics. Advancements in technological ecosystems are essential for proper functioning of health information system in clinical setting.

Clinical 3D printing: A protected health information (PHI) and compliance perspective.

PubMed

Feldman, Henry; Kamali, Parisa; Lin, Samuel J; Halamka, John D

2018-07-01

Advanced manufacturing techniques such as 3-dimensional (3D) printing, while mature in other industries, are starting to become more commonplace in clinical care. Clinicians are producing physical objects based on patient clinical data for use in planning care and educating patients, all of which should be managed like any other healthcare system data, except it exists in the "real" world. There are currently no provisions in the Health Insurance Portability and Accountability Act (HIPAA) either in its original 1996 form or in more recent updates that address the nature of physical representations of clinical data. We submit that if we define the source data as protected health information (PHI), then the objects 3D printed from that data need to be treated as both (PHI), and if used clinically, part of the clinical record, and propose some basic guidelines for quality and privacy like all documentation until regulatory frameworks can catch up to this technology. Many of the mechanisms designed in the paper and film chart era will work well with 3D printed patient data. Copyright © 2018 Elsevier B.V. All rights reserved.

Implementing shared governance in a patient care support industry: information technology leading the way.

PubMed

Hartley, Lou Ann

2014-06-01

Implementing technology in the clinical setting is not a project but rather a journey in transforming care delivery. As nursing leaders in healthcare and patient care support organizations embrace technology to drive reforms in quality and efficiency, growing opportunities exist to share experiences between these industries. This department submission describes the journey to nursing shared governance from the perspective of an information technology-based company realizing the goal of supporting patient care.

Technological innovations in mental healthcare: harnessing the digital revolution.

PubMed

Hollis, Chris; Morriss, Richard; Martin, Jennifer; Amani, Sarah; Cotton, Rebecca; Denis, Mike; Lewis, Shôn

2015-04-01

Digital technology has the potential to transform mental healthcare by connecting patients, services and health data in new ways. Digital online and mobile applications can offer patients greater access to information and services and enhance clinical management and early intervention through access to real-time patient data. However, substantial gaps exist in the evidence base underlying these technologies. Greater patient and clinician involvement is needed to evaluate digital technologies and ensure they target unmet needs, maintain public trust and improve clinical outcomes. Royal College of Psychiatrists.

Perceived Barriers to Information Access Among Medical Residents in Iran: Obstacles to Answering Clinical Queries in Settings with Limited Internet Accessibility

PubMed Central

Mazloomdoost, Danesh; Mehregan, Shervineh; Mahmoudi, Hilda; Soltani, Akbar; Embi, Peter J.

2007-01-01

Studies performed in the US and other Western countries have documented that physicians generate many clinical questions during a typical day and rely on various information sources for answers. Little is known about the information seeking behaviors of physicians practicing in other countries, particularly those with limited Internet connectivity. We conducted this study to document the perceived barriers to information resources used by medical residents in Iran. Our findings reveal that different perceived barriers exist for electronic versus paper-based resources. Notably, paper-based resources are perceived to be limited by resident time-constraints and availability of resources, whereas electronic resources are limited by cost decentralized resources (such as PDAs) and accessibility of centralized, Internet access. These findings add to the limited literature regarding health information-seeking activities in international healthcare settings, particularly those with limited Internet connectivity, and will supplement future studies of and interventions in such settings. PMID:18693891

Perceived barriers to information access among medical residents in Iran: obstacles to answering clinical queries in settings with limited Internet accessibility.

PubMed

Mazloomdoost, Danesh; Mehregan, Shervineh; Mahmoudi, Hilda; Soltani, Akbar; Embi, Peter J

2007-10-11

Studies performed in the US and other Western countries have documented that physicians generate many clinical questions during a typical day and rely on various information sources for answers. Little is known about the information seeking behaviors of physicians practicing in other countries, particularly those with limited Internet connectivity. We conducted this study to document the perceived barriers to information resources used by medical residents in Iran. Our findings reveal that different perceived barriers exist for electronic versus paper-based resources. Notably, paper-based resources are perceived to be limited by resident time-constraints and availability of resources, whereas electronic resources are limited by cost decentralized resources (such as PDAs) and accessibility of centralized, Internet access. These findings add to the limited literature regarding health information-seeking activities in international healthcare settings, particularly those with limited Internet connectivity, and will supplement future studies of and interventions in such settings.

Important issues in the justification of a control treatment in paediatric drug trials.

PubMed

Kelly, Lauren E; Davies, Elin Haf; Saint-Raymond, Agnes; Tomasi, Paolo; Offringa, Martin

2016-10-01

The value of comparative effectiveness trials in informing clinical and policy decisions depends heavily on the choice of control arm (comparator). Our objective is to identify challenges in comparator reasoning and to determine justification criteria for selecting a control arm in paediatric clinical trials. A literature search was completed to identify existing sources of guidance on comparator selection. Subsequently, we reviewed a randomly selected sample of comparators selected for paediatric investigation plans (PIPs) adopted by the Paediatric Committee of the European Medicines Agency in 2013. We gathered descriptive information and evaluated their review process to identify challenges and compromises between regulators and sponsors with regard to the selection of the comparator. A tool to help investigators justify the selection of active controls and placebo arms was developed using the existing literature and empirical data. Justifying comparator selection was a challenge in 28% of PIPs. The following challenging paediatric issues in the decision-making process were identified: use of off-label medications as comparators, ethical and safe use of placebo, duration of placebo use, an undefined optimal dosing strategy, lack of age-appropriate safety and efficacy data, and drug dosing not supported by extrapolation of safety/efficacy evidence from other populations. In order to generate trials that will inform clinical decision-making and support marketing authorisations, researchers must systemically and transparently justify their selection of the comparator arm for their study. This report highlights key areas for justification in the choice of comparator in paediatric clinical trials. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Teledermatology. Current status and future directions.

PubMed

Whited, J D

2001-01-01

Teledermatology is becoming an increasingly common means of delivering dermatologic healthcare worldwide and will almost certainly play a greater role in the future. The type of technology used distinguishes the 2 modes of teledermatology consultation. The store and forward technique uses still digital images generated by a digital camera. Consultations of this type are considered asynchronous since the images are obtained, sent, and reviewed at different times. In contrast, real-time interactive consultations are synchronous. Patients and clinicians interact in real-time through an audio-video communication link. Each modality has its advantages and disadvantages, and studies appear in the literature that assess both technologies. Although diagnostic reliability (precision) assessments for teledermatology are subject to limitations, existing information indicates that both store and forward and real-time interactive technology result in reliable diagnostic outcomes when compared with clinic-based evaluations. Less information regarding diagnostic accuracy is available; however, one evaluation that used store and forward technology found comparable diagnostic accuracy between teledermatology consultations and clinic-based examinations. Currently, little information is available regarding cost effectiveness and patient outcomes. Existing evidence, while inconclusive, suggests that teledermatology may be more costly than traditional clinic-based care, especially when using real-time interactive technology. Teledermatology has been shown to have utility as a triage mechanism for determining the urgency or need for a clinic-based consultation. Overall, patients appear to accept teledermatology and are satisfied with it as a means of obtaining healthcare. Clinicians have also generally reported positive experiences with teledermatology. Future studies that focus on cost effectiveness, patient outcomes, and patient and clinician satisfaction will help further define the potential of teledermatology as a means of dermatologic healthcare delivery.

Preferences for a patient-centered role orientation: association with patient-information-seeking behavior and clinical markers of health.

PubMed

Baldwin, Austin S; Cvengros, Jamie A; Christensen, Alan J; Ishani, Areef; Kaboli, Peter J

2008-02-01

Few data exist examining how patients' preferred role orientation (patient-centered or provider-centered) is associated with "patient-centered" behavior and clinical markers of health. The purpose of the study is to investigate how patients' preferred role orientation is associated with information-seeking behavior and clinical markers of health in a chronically ill population. Participants were 189 hypertensive patients, at two VA Medical Centers and four community-based clinics, who completed measures of preferred role orientation and medication information seeking. Lab values of patients' blood pressure, LDL cholesterol, and glycosylated hemoglobin A1c were used as clinical markers. Preference for a patient-centered role was associated with seeking medication information from various sources (e.g., the internet [OR = 1.14, 95% CI = 1.05-1.23]) and with the number of sources from which patients obtained information (beta = .21, p = 0.005). However, patient-centered preferences were also associated with higher systolic blood pressure (beta = 0.16, p = 0.04), higher diastolic blood pressure (beta = .15, p = 0.04), and higher LDL cholesterol (beta = 0.17, p = 0.04). There was no association with glycosylated hemoglobin A1c (beta = -0.10, p = 0.36). Patients who preferred a patient-centered role engaged in behavior consistent with their preferences, but had higher blood pressure and less favorable lipid levels. These findings are discussed in terms of the nature and treatment of certain chronic conditions that may explain why a patient-centered role orientation is associated with a less favorable clinical profile in some contexts.

Resistance to group clinical supervision: A semistructured interview study of non-participating mental health nursing staff members.

PubMed

Buus, Niels; Delgado, Cynthia; Traynor, Michael; Gonge, Henrik

2018-04-01

This present study is a report of an interview study exploring personal views on participating in group clinical supervision among mental health nursing staff members who do not participate in supervision. There is a paucity of empirical research on resistance to supervision, which has traditionally been theorized as a supervisee's maladaptive coping with anxiety in the supervision process. The aim of the present study was to examine resistance to group clinical supervision by interviewing nurses who did not participate in supervision. In 2015, we conducted semistructured interviews with 24 Danish mental health nursing staff members who had been observed not to participate in supervision in two periods of 3 months. Interviews were audio-recorded and subjected to discourse analysis. We constructed two discursive positions taken by the informants: (i) 'forced non-participation', where an informant was in favour of supervision, but presented practical reasons for not participating; and (ii) 'deliberate rejection', where an informant intentionally chose to not to participate in supervision. Furthermore, we described two typical themes drawn upon by informants in their positioning: 'difficulties related to participating in supervision' and 'limited need for and benefits from supervision'. The findings indicated that group clinical supervision extended a space for group discussion that generated or accentuated anxiety because of already-existing conflicts and a fundamental lack of trust between group members. Many informants perceived group clinical supervision as an unacceptable intrusion, which could indicate a need for developing more acceptable types of post-registration clinical education and reflective practice for this group. © 2017 Australian College of Mental Health Nurses Inc.

Applying the archetype approach to the database of a biobank information management system.

PubMed

Späth, Melanie Bettina; Grimson, Jane

2011-03-01

The purpose of this study is to investigate the feasibility of applying the openEHR archetype approach to modelling the data in the database of an existing proprietary biobank information management system. A biobank information management system stores the clinical/phenotypic data of the sample donor and sample related information. The clinical/phenotypic data is potentially sourced from the donor's electronic health record (EHR). The study evaluates the reuse of openEHR archetypes that have been developed for the creation of an interoperable EHR in the context of biobanking, and proposes a new set of archetypes specifically for biobanks. The ultimate goal of the research is the development of an interoperable electronic biomedical research record (eBMRR) to support biomedical knowledge discovery. The database of the prostate cancer biobank of the Irish Prostate Cancer Research Consortium (PCRC), which supports the identification of novel biomarkers for prostate cancer, was taken as the basis for the modelling effort. First the database schema of the biobank was analyzed and reorganized into archetype-friendly concepts. Then, archetype repositories were searched for matching archetypes. Some existing archetypes were reused without change, some were modified or specialized, and new archetypes were developed where needed. The fields of the biobank database schema were then mapped to the elements in the archetypes. Finally, the archetypes were arranged into templates specifically to meet the requirements of the PCRC biobank. A set of 47 archetypes was found to cover all the concepts used in the biobank. Of these, 29 (62%) were reused without change, 6 were modified and/or extended, 1 was specialized, and 11 were newly defined. These archetypes were arranged into 8 templates specifically required for this biobank. A number of issues were encountered in this research. Some arose from the immaturity of the archetype approach, such as immature modelling support tools, difficulties in defining high-quality archetypes and the problem of overlapping archetypes. In addition, the identification of suitable existing archetypes was time-consuming and many semantic conflicts were encountered during the process of mapping the PCRC BIMS database to existing archetypes. These include differences in the granularity of documentation, in metadata-level versus data-level modelling, in terminologies and vocabularies used, and in the amount of structure imposed on the information to be recorded. Furthermore, the current way of modelling the sample entity was found to be cumbersome in the sample-centric activity of biobanking. The archetype approach is a promising approach to create a shareable eBMRR based on the study participant/donor for biobanks. Many archetypes originally developed for the EHR domain can be reused to model the clinical/phenotypic and sample information in the biobank context, which validates the genericity of these archetypes and their potential for reuse in the context of biomedical research. However, finding suitable archetypes in the repositories and establishing an exact mapping between the fields in the PCRC BIMS database and the elements of existing archetypes that have been designed for clinical practice can be challenging and time-consuming and involves resolving many common system integration conflicts. These may be attributable to differences in the requirements for information documentation between clinical practice and biobanking. This research also recognized the need for better support tools, modelling guidelines and best practice rules and reconfirmed the need for better domain knowledge governance. Furthermore, the authors propose that the establishment of an independent sample record with the sample as record subject should be investigated. The research presented in this paper is limited by the fact that the new archetypes developed during this research are based on a single biobank instance. These new archetypes may not be complete, representing only those subsets of items required by this particular database. Nevertheless, this exercise exposes some of the gaps that exist in the archetype modelling landscape and highlights the concepts that need to be modelled with archetypes to enable the development of an eBMRR. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

The relationship between local hospital IT capabilities and physician EMR adoption.

PubMed

Menachemi, Nir; Matthews, Michael; Ford, Eric W; Hikmet, Neset; Brooks, Robert G

2009-10-01

In light of new federal policies allowing hospitals to subsidize the cost of information systems for physicians, we examine the relationship between local hospital investments in information technology (IT) and physician EMR adoption. Data from two Florida surveys were combined with secondary data from the State of Florida and the Area Resource File (ARF). Hierarchal logistic regression was used to examine the effect of hospital adoption of clinical information systems on physician adoption of EMR systems after controlling for confounders. In multivariate analysis, each additional clinical IT application adopted by a local hospital was associated with an 8% increase in the odds of EMR adoption by physicians practicing in that county. Given this existing relationship between hospital IT capabilities and physician adoption patterns, federal policies designed to encourage this more directly will positively promote the proliferation of EMR systems.

The Role of Somatosensory Information in Speech Perception: Imitation Improves Recognition of Disordered Speech

ERIC Educational Resources Information Center

Borrie, Stephanie A.; Schäfer, Martina C. M.

2015-01-01

Purpose: Perceptual learning paradigms involving written feedback appear to be a viable clinical tool to reduce the intelligibility burden of dysarthria. The underlying theoretical assumption is that pairing the degraded acoustics with the intended lexical targets facilitates a remapping of existing mental representations in the lexicon. This…

Obesity and Breast Cancer

DTIC Science & Technology

2005-07-01

serum INS, IGF-I and binding proteins, triglycerides, HDL - cholesterol , total and free steroids, sex hormone binding globulin, adiponectin, leptin, and...collection of information is estimated to average 1 hour per response , including the time for reviewing instructions, searching existing data sources...Bioinformatics, Biostatistics, Computer Science, Digital Mammography, Magnetic Resonance Imaging, Tissue Arrays, Gene Polymorphisms , Animal Models, Clinical

Value of XML in the implementation of clinical practice guidelines--the issue of content retrieval and presentation.

PubMed

Hoelzer, S; Schweiger, R K; Boettcher, H A; Tafazzoli, A G; Dudeck, J

2001-01-01

The purpose of guidelines in clinical practice is to improve the effectiveness and efficiency of clinical care. It is known that nationally or internationally produced guidelines which, in particular, do not involve medical processes at the time of consultation, do not take local factors into account, and have no consistent implementation strategy, have limited impact in changing either the behaviour of physicians, or patterns of care. The literature provides evidence for the effectiveness of computerization of CPGs for increasing compliance and improving patient outcomes. Probably the most effective concepts are knowledge-based functions for decision support or monitoring that are integrated in clinical information systems. This approach is mostly restricted by the effort required for development and maintenance of the information systems and the limited number of implemented medical rules. Most of the guidelines are text-based, and are primarily published in medical journals and posted on the internet. However, internet-published guidelines have little impact on the behaviour of physicians. It can be difficult and time-consuming to browse the internet to find (a) the correct guidelines to an existing diagnosis and (b) and adequate recommendation for a specific clinical problem. Our objective is to provide a web-based guideline service that takes as input clinical data on a particular patient and returns as output a customizable set of recommendations regarding diagnosis and treatment. Information in healthcare is to a very large extent transmitted and stored as unstructured or slightly structured text such as discharge letters, reports, forms, etc. The same applies for facilities containing medical information resources for clinical purposes and research such as text books, articles, guidelines, etc. Physicians are used to obtaining information from text-based sources. Since most guidelines are text-based, it would be practical to use a document-based solution that preserves the original cohesiveness. The lack of structure limits the automatic identification and extraction of the information contained in these resources. For this reason, we have chosen a document-based approach using eXtensible Markup Language (XML) with its schema definition and related technologies. XML empowers the applications for in-context searching. In addition it allows the same content to be represented in different ways. Our XML reference clinical data model for guidelines has been realized with the XML schema definition. The schema is used for structuring new text-based guidelines and updating existing documents. It is also used to establish search strategies on the document base. We hypothesize that enabling the physicians to query the available CPGs easily, and to get access to selected and specific information at the point of care will foster increased use. Based on current evidence we are confident that it will have substantial impact on the care provided, and will improve health outcomes.

Inappropriate publication of trial results and potential for allegations of illegal share dealing.

PubMed

Freestone, D S; Mitchell, H

1993-04-24

There is increasing evidence of fraud in clinical research, and one aspect concerns trading in pharmaceutical company shares by people who may have confidential information about the results of clinical trials. Plainly this has implications for honest investigators, who may find themselves exposed to such allegations. In this paper Dr D S Freestone and Mr H Mitchell, QC, identify three interlinked issues which they think underlie the potential for these allegations. They are pressure for premature or inappropriate communication of research results; trading in pharmaceutical company shares by academic clinical investigators; and the possibility that clinical investigators might succumb to temptation. Dr Freestone and Mr Mitchell suggest that whenever possible results of clinical studies should be published in appropriate medical journals without prior public disclosure. This conflicts with Stock Exchange rules, which require that price sensitive information should be published at the earliest opportunity and preclude priority of publication in medical journals. Freestone and Mitchell believe that rarely rapid public disclosure is acceptable if it is to protect patients' interests but that it must not prejudice publication in the medical or scientific press. When rapid public disclosure is needed, they say, every attempt should be made to inform prescribers before patients. Dr Freestone and Mr Mitchell warn that academic clinical investigators who have access to unpublished price sensitive information about pharmaceutical companies whose shares they trade in will almost certainly be in breach of the Company Securities (Insider Dealing) Act 1985. Furthermore, disclosing such information to third parties, they say, exposes those people also to potential criminal liability. Freestone and Mitchell advise that when potential for allegations of conflict of interest exists clinical investigators should consider declaring their position to ethics committees and any sponsoring organisations.

Inappropriate publication of trial results and potential for allegations of illegal share dealing.

PubMed Central

Freestone, D S; Mitchell, H

1993-01-01

There is increasing evidence of fraud in clinical research, and one aspect concerns trading in pharmaceutical company shares by people who may have confidential information about the results of clinical trials. Plainly this has implications for honest investigators, who may find themselves exposed to such allegations. In this paper Dr D S Freestone and Mr H Mitchell, QC, identify three interlinked issues which they think underlie the potential for these allegations. They are pressure for premature or inappropriate communication of research results; trading in pharmaceutical company shares by academic clinical investigators; and the possibility that clinical investigators might succumb to temptation. Dr Freestone and Mr Mitchell suggest that whenever possible results of clinical studies should be published in appropriate medical journals without prior public disclosure. This conflicts with Stock Exchange rules, which require that price sensitive information should be published at the earliest opportunity and preclude priority of publication in medical journals. Freestone and Mitchell believe that rarely rapid public disclosure is acceptable if it is to protect patients' interests but that it must not prejudice publication in the medical or scientific press. When rapid public disclosure is needed, they say, every attempt should be made to inform prescribers before patients. Dr Freestone and Mr Mitchell warn that academic clinical investigators who have access to unpublished price sensitive information about pharmaceutical companies whose shares they trade in will almost certainly be in breach of the Company Securities (Insider Dealing) Act 1985. Furthermore, disclosing such information to third parties, they say, exposes those people also to potential criminal liability. Freestone and Mitchell advise that when potential for allegations of conflict of interest exists clinical investigators should consider declaring their position to ethics committees and any sponsoring organisations. Images p1113-a p1114-a PMID:8495159

The CNDR: collaborating to translate new therapies for Canadians.

PubMed

Korngut, Lawrence; Campbell, Craig; Johnston, Megan; Benstead, Timothy; Genge, Angela; Mackenzie, Alex; McCormick, Anna; Biggar, Douglas; Bourque, Pierre; Briemberg, Hannah; O'Connell, Colleen; Dojeiji, Suzan; Dooley, Joseph; Grant, Ian; Hogan, Gillian; Johnston, Wendy; Kalra, Sanjay; Katzberg, Hans D; Mah, Jean K; McAdam, Laura; McMillan, Hugh J; Melanson, Michel; Selby, Kathryn; Shoesmith, Christen; Smith, Garth; Venance, Shannon L; Wee, Joy

2013-09-01

Patient registries represent an important method of organizing "real world" patient information for clinical and research purposes. Registries can facilitate clinical trial planning and recruitment and are particularly useful in this regard for uncommon and rare diseases. Neuromuscular diseases (NMDs) are individually rare but in aggregate have a significant prevalence. In Canada, information on NMDs is lacking. Barriers to performing Canadian multicentre NMD research exist which can be overcome by a comprehensive and collaborative NMD registry. We describe the objectives, design, feasibility and initial recruitment results for the Canadian Neuromuscular Disease Registry (CNDR). The CNDR is a clinic-based registry which launched nationally in June 2011, incorporates paediatric and adult neuromuscular clinics in British Columbia, Alberta, Ontario, Quebec, New Brunswick and Nova Scotia and, as of December 2012, has recruited 1161 patients from 12 provinces and territories. Complete medical datasets have been captured on 460 "index disease" patients. Another 618 "non-index" patients have been recruited with capture of physician-confirmed diagnosis and contact information. We have demonstrated the feasibility of blended clinic and central office-based recruitment. "Index disease" patients recruited at the time of writing include 253 with Duchenne and Becker muscular dystrophy, 161 with myotonic dystrophy, and 71 with ALS. The CNDR is a new nationwide registry of patients with NMDs that represents an important advance in Canadian neuromuscular disease research capacity. It provides an innovative platform for organizing patient information to facilitate clinical research and to expedite translation of recent laboratory findings into human studies.

Informant discrepancy defines discrete, clinically useful autism spectrum disorder subgroups.

PubMed

Lerner, Matthew D; De Los Reyes, Andres; Drabick, Deborah A G; Gerber, Alan H; Gadow, Kenneth D

2017-07-01

Discrepancy between informants (parents and teachers) in severity ratings of core symptoms commonly arise when assessing autism spectrum disorder (ASD). Whether such discrepancy yields unique information about the ASD phenotype and its clinical correlates has not been examined. We examined whether degree of discrepancy between parent and teacher ASD symptom ratings defines discrete, clinically meaningful subgroups of youth with ASD using an efficient, cost-effective procedure. Children with ASD (N = 283; 82% boys; M age  = 10.5 years) were drawn from a specialty ASD clinic. Parents and teachers provided ratings of the three core DSM-IV-TR domains of ASD symptoms (communication, social, and perseverative behavior) with the Child and Adolescent Symptom Inventory-4R (CASI-4R). External validators included child psychotropic medication status, frequency of ASD-relevant school-based services, and the Autism Diagnostic Observation Schedule (ADOS-2). Four distinct subgroups emerged that ranged from large between-informant discrepancy (informant-specific) to relative lack of discrepancy (i.e. informant agreement; cross-situational): Moderate Parent/Low Teacher or Low Parent/Moderate Teacher Severity (Discrepancy), and Moderate or High Symptom Severity (Agreement). Subgroups were highly distinct (mean probability of group assignment = 94%). Relative to Discrepancy subgroups, Agreement subgroups were more likely to receive psychotropic medication, school-based special education services, and an ADOS-2 diagnosis. These differential associations would not have been identified based solely on CASI-4R scores from one informant. The degree of parent-teacher discrepancy about ASD symptom severity appears to provide more clinically useful information than reliance on a specific symptom domain or informant, and thus yields an innovative, cost-effective approach to assessing functional impairment. This conclusion stands in contrast to existing symptom clustering approaches in ASD, which treat within-informant patterns of symptom severity as generalizable across settings. Within-child variability in symptom expression across settings may yield uniquely useful information for characterizing the ASD phenotype. © 2017 Association for Child and Adolescent Mental Health.

Improving communication when seeking informed consent: a randomised controlled study of a computer-based method for providing information to prospective clinical trial participants.

PubMed

Karunaratne, Asuntha S; Korenman, Stanley G; Thomas, Samantha L; Myles, Paul S; Komesaroff, Paul A

2010-04-05

To assess the efficacy, with respect to participant understanding of information, of a computer-based approach to communication about complex, technical issues that commonly arise when seeking informed consent for clinical research trials. An open, randomised controlled study of 60 patients with diabetes mellitus, aged 27-70 years, recruited between August 2006 and October 2007 from the Department of Diabetes and Endocrinology at the Alfred Hospital and Baker IDI Heart and Diabetes Institute, Melbourne. Participants were asked to read information about a mock study via a computer-based presentation (n = 30) or a conventional paper-based information statement (n = 30). The computer-based presentation contained visual aids, including diagrams, video, hyperlinks and quiz pages. Understanding of information as assessed by quantitative and qualitative means. Assessment scores used to measure level of understanding were significantly higher in the group that completed the computer-based task than the group that completed the paper-based task (82% v 73%; P = 0.005). More participants in the group that completed the computer-based task expressed interest in taking part in the mock study (23 v 17 participants; P = 0.01). Most participants from both groups preferred the idea of a computer-based presentation to the paper-based statement (21 in the computer-based task group, 18 in the paper-based task group). A computer-based method of providing information may help overcome existing deficiencies in communication about clinical research, and may reduce costs and improve efficiency in recruiting participants for clinical trials.

Information needs of Botswana health care workers and perceptions of wikipedia.

PubMed

Park, Elizabeth; Masupe, Tiny; Joseph, Joseph; Ho-Foster, Ari; Chavez, Afton; Jammalamadugu, Swetha; Marek, Andrew; Arumala, Ruth; Ketshogileng, Dineo; Littman-Quinn, Ryan; Kovarik, Carrie

2016-11-01

Since the UN Human Rights Council's recognition on the subject in 2011, the right to access the Internet and information is now considered one of the most basic human rights of global citizens [1,2]. Despite this, an information gap between developed and resource-limited countries remains, and there is scant research on actual information needs of workers themselves. The Republic of Botswana represents a fertile ground to address existing gaps in research, policy, and practice, due to its demonstrated gap in access to information and specialists among rural health care workers (HCWs), burgeoning mHealth capacity, and a timely offer from Orange Telecommunications to access Wikipedia for free on mobile platforms for Botswana subscribers. In this study, we sought to identify clinical information needs of HCWs of Botswana and their perception of Wikipedia as a clinical tool. Twenty-eight facilitated focus groups, consisting of 113 HCWs of various cadres based at district hospitals, clinics, and health posts around Botswana, were employed. Transcription and thematic analysis were performed for those groups. Access to the Internet is limited at most facilities. Most HCWs placed high importance upon using Botswana Ministry of Health (MoH) resources for obtaining credible clinical information. However, the clinical applicability of these materials was limited due to discrepancies amongst sources, potentially outdated information, and poor optimization for time-sensitive circumstances. As a result, HCWs faced challenges, such as loss of patient trust and compromises in patient care. Potential solutions posed by HCWs to address these issues included: multifaceted improvements in Internet infrastructure, access to up-to-date information, transfer of knowledge from MoH to HCW, and improving content and applicability of currently available information. Topics of clinical information needs were broad and encompassed: HIV, TB (Tuberculosis), OB/GYN (Obstetrics and Gynecology), and Pediatrics. HCW attitudes towards Wikipedia were variable; some trusted Wikipedia as a reliable point of care information resource whereas others thought that its use should be restricted and monitored by the MoH. There is a demonstrated need for accessible, reliable, and up-to-date information to aid clinical practice in Botswana. Attitudes towards Wikipedia as an open information resource tool are at best, split. Therefore, future studies are necessary to determine the accuracy, currency, and relevancy of Wikipedia articles on the health topics identified by health care workers as areas of information need. More broadly speaking, future efforts should be dedicated to configure a quality-controlled, readily accessible mobile platform based clinical information application tool fitting for Botswana. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine.

PubMed

Castaneda, Christian; Nalley, Kip; Mannion, Ciaran; Bhattacharyya, Pritish; Blake, Patrick; Pecora, Andrew; Goy, Andre; Suh, K Stephen

2015-01-01

As research laboratories and clinics collaborate to achieve precision medicine, both communities are required to understand mandated electronic health/medical record (EHR/EMR) initiatives that will be fully implemented in all clinics in the United States by 2015. Stakeholders will need to evaluate current record keeping practices and optimize and standardize methodologies to capture nearly all information in digital format. Collaborative efforts from academic and industry sectors are crucial to achieving higher efficacy in patient care while minimizing costs. Currently existing digitized data and information are present in multiple formats and are largely unstructured. In the absence of a universally accepted management system, departments and institutions continue to generate silos of information. As a result, invaluable and newly discovered knowledge is difficult to access. To accelerate biomedical research and reduce healthcare costs, clinical and bioinformatics systems must employ common data elements to create structured annotation forms enabling laboratories and clinics to capture sharable data in real time. Conversion of these datasets to knowable information should be a routine institutionalized process. New scientific knowledge and clinical discoveries can be shared via integrated knowledge environments defined by flexible data models and extensive use of standards, ontologies, vocabularies, and thesauri. In the clinical setting, aggregated knowledge must be displayed in user-friendly formats so that physicians, non-technical laboratory personnel, nurses, data/research coordinators, and end-users can enter data, access information, and understand the output. The effort to connect astronomical numbers of data points, including '-omics'-based molecular data, individual genome sequences, experimental data, patient clinical phenotypes, and follow-up data is a monumental task. Roadblocks to this vision of integration and interoperability include ethical, legal, and logistical concerns. Ensuring data security and protection of patient rights while simultaneously facilitating standardization is paramount to maintaining public support. The capabilities of supercomputing need to be applied strategically. A standardized, methodological implementation must be applied to developed artificial intelligence systems with the ability to integrate data and information into clinically relevant knowledge. Ultimately, the integration of bioinformatics and clinical data in a clinical decision support system promises precision medicine and cost effective and personalized patient care.

Internet-Based HIV and Sexually Transmitted Infection Testing in British Columbia, Canada: Opinions and Expectations of Prospective Clients

PubMed Central

Hottes, Travis Salway; Farrell, Janine; Bondyra, Mark; Haag, Devon; Shoveller, Jean

2012-01-01

Background The feasibility and acceptability of Internet-based sexually transmitted infection (STI) testing have been demonstrated; however, few programs have included testing for human immunodeficiency virus (HIV). In British Columbia, Canada, a new initiative will offer online access to chlamydia, gonorrhea, syphilis, and HIV testing, integrated with existing clinic-based services. We presented the model to gay men and other men who have sex with men (MSM) and existing clinic clients through a series of focus groups. Objective To identify perceived benefits, concerns, and expectations of a new model for Internet-based STI and HIV testing among potential end users. Methods Participants were recruited through email invitations, online classifieds, and flyers in STI clinics. A structured interview guide was used. Focus groups were audio recorded, and an observer took detailed field notes. Analysts then listened to audio recordings to validate field notes. Data were coded and analyzed using a scissor-and-sort technique. Results In total, 39 people participated in six focus groups. Most were MSM, and all were active Internet users and experienced with STI/HIV testing. Perceived benefits of Internet-based STI testing included anonymity, convenience, and client-centered control. Salient concerns were reluctance to provide personal information online, distrust of security of data provided online, and the need for comprehensive pretest information and support for those receiving positive results, particularly for HIV. Suggestions emerged for mitigation of these concerns: provide up-front and detailed information about the model, ask only the minimal information required for testing, give positive results only by phone or in person, and ensure that those testing positive are referred for counseling and support. End users expected Internet testing to offer continuous online service delivery, from booking appointments, to transmitting information to the laboratory, to getting prescriptions. Most participants said they would use the service or recommend it to others. Those who indicated they would be unlikely to use it generally either lived near an STI clinic or routinely saw a family doctor with whom they were comfortable testing. Participants expected that the service would provide the greatest benefit to individuals who do not already have access to sensitive sexual health services, are reluctant to test due to stigma, or want to take immediate action (eg, because of a recent potential STI/HIV exposure). Conclusions Internet-based STI/HIV testing has the potential to reduce barriers to testing, as a complement to existing clinic-based services. Trust in the new online service, however, is a prerequisite to client uptake and may be engendered by transparency of information about the model, and by accounting for concerns related to confidentiality, data usage, and provision of positive (especially HIV) results. Ongoing evaluation of this new model will be essential to its success and to the confidence of its users. PMID:22394997

Internet-based HIV and sexually transmitted infection testing in British Columbia, Canada: opinions and expectations of prospective clients.

PubMed

Hottes, Travis Salway; Farrell, Janine; Bondyra, Mark; Haag, Devon; Shoveller, Jean; Gilbert, Mark

2012-03-06

The feasibility and acceptability of Internet-based sexually transmitted infection (STI) testing have been demonstrated; however, few programs have included testing for human immunodeficiency virus (HIV). In British Columbia, Canada, a new initiative will offer online access to chlamydia, gonorrhea, syphilis, and HIV testing, integrated with existing clinic-based services. We presented the model to gay men and other men who have sex with men (MSM) and existing clinic clients through a series of focus groups. To identify perceived benefits, concerns, and expectations of a new model for Internet-based STI and HIV testing among potential end users. Participants were recruited through email invitations, online classifieds, and flyers in STI clinics. A structured interview guide was used. Focus groups were audio recorded, and an observer took detailed field notes. Analysts then listened to audio recordings to validate field notes. Data were coded and analyzed using a scissor-and-sort technique. In total, 39 people participated in six focus groups. Most were MSM, and all were active Internet users and experienced with STI/HIV testing. Perceived benefits of Internet-based STI testing included anonymity, convenience, and client-centered control. Salient concerns were reluctance to provide personal information online, distrust of security of data provided online, and the need for comprehensive pretest information and support for those receiving positive results, particularly for HIV. Suggestions emerged for mitigation of these concerns: provide up-front and detailed information about the model, ask only the minimal information required for testing, give positive results only by phone or in person, and ensure that those testing positive are referred for counseling and support. End users expected Internet testing to offer continuous online service delivery, from booking appointments, to transmitting information to the laboratory, to getting prescriptions. Most participants said they would use the service or recommend it to others. Those who indicated they would be unlikely to use it generally either lived near an STI clinic or routinely saw a family doctor with whom they were comfortable testing. Participants expected that the service would provide the greatest benefit to individuals who do not already have access to sensitive sexual health services, are reluctant to test due to stigma, or want to take immediate action (eg, because of a recent potential STI/HIV exposure). Internet-based STI/HIV testing has the potential to reduce barriers to testing, as a complement to existing clinic-based services. Trust in the new online service, however, is a prerequisite to client uptake and may be engendered by transparency of information about the model, and by accounting for concerns related to confidentiality, data usage, and provision of positive (especially HIV) results. Ongoing evaluation of this new model will be essential to its success and to the confidence of its users.

Experiences with developing and implementing a virtual clinic for glaucoma care in an NHS setting

PubMed Central

Kotecha, Aachal; Baldwin, Alex; Brookes, John; Foster, Paul J

2015-01-01

Background This article describes the development of a virtual glaucoma clinic, whereby technicians collect information for remote review by a consultant specialist. Design and Methods This was a hospital-based service evaluation study. Patients suitable for the stable monitoring service (SMS) were low-risk patients with “suspect”, “early”-to-“moderate” glaucoma who were deemed stable by their consultant care team. Three technicians and one health care assistant ran the service. Patients underwent tests in a streamlined manner in a dedicated clinical facility, with virtual review of data by a consultant specialist through an electronic patient record. Main outcome measure Feasibility of developing a novel service within a UK National Health Service setting and improvement of patient journey time within the service were studied. Results Challenges to implementation of virtual clinic include staffing issues and use of information technology. Patient journey time within the SMS averaged 51 minutes, compared with 92 minutes in the glaucoma outpatient department. Patient satisfaction with the new service was high. Conclusion Implementing innovation into existing services of the National Health Service is challenging. However, the virtual clinic showed an improved patient journey time compared with that experienced within the general glaucoma outpatient department. There exists a discrepancy between patient management decisions of reviewers, suggesting that some may be more risk averse than others when managing patients seen within this model. Future work will assess the ability to detect progression of disease in this model compared with the general outpatient model of care. PMID:26508830

Regulating trust in pediatric clinical trials.

PubMed

Pinxten, Wim; Nys, Herman; Dierickx, Kris

2008-12-01

The participation of minors in clinical trials is essential to provide safe and effective medical care to children. Because few drugs have been tested in children, pediatricians are forced to prescribe medications off-label with uncertain efficacy and safety. In this article, we analyze how the enrollment of minors in clinical trials is negotiated within relationships of mutual trust between clinicians, minors, and their parents. After a brief description of the problems associated with involving minors in clinical research, we consider how existing "relationships of trust" can be used as a place where the concerns of research subjects can be more fully discussed and addressed. Building on the tacit recognition of trust found in The European Clinical Trials Directive we make policy recommendations that allow for clearer, more ethically informed guidelines for enrolling minors in clinical research.

The effect of misclassification errors on case mix measurement.

PubMed

Sutherland, Jason M; Botz, Chas K

2006-12-01

Case mix systems have been implemented for hospital reimbursement and performance measurement across Europe and North America. Case mix categorizes patients into discrete groups based on clinical information obtained from patient charts in an attempt to identify clinical or cost difference amongst these groups. The diagnosis related group (DRG) case mix system is the most common methodology, with variants adopted in many countries. External validation studies of coding quality have confirmed that widespread variability exists between originally recorded diagnoses and re-abstracted clinical information. DRG assignment errors in hospitals that share patient level cost data for the purpose of establishing cost weights affects cost weight accuracy. The purpose of this study is to estimate bias in cost weights due to measurement error of reported clinical information. DRG assignment error rates are simulated based on recent clinical re-abstraction study results. Our simulation study estimates that 47% of cost weights representing the least severe cases are over weight by 10%, while 32% of cost weights representing the most severe cases are under weight by 10%. Applying the simulated weights to a cross-section of hospitals, we find that teaching hospitals tend to be under weight. Since inaccurate cost weights challenges the ability of case mix systems to accurately reflect patient mix and may lead to potential distortions in hospital funding, bias in hospital case mix measurement highlights the role clinical data quality plays in hospital funding in countries that use DRG-type case mix systems. Quality of clinical information should be carefully considered from hospitals that contribute financial data for establishing cost weights.

Clinical research for neuropathies.

PubMed

Kaufmann, Petra

2012-05-01

The National Institutes of Health (NIH) has a long-standing commitment to neuropathy research. From 2005-2009, the NIH has committed US $115 million each year. A collaborative effort between researchers and patients can accelerate the translation of pre-clinical discoveries into better treatments for neuropathy patients. Clinical trials are needed to test these new treatments, but they can only be implemented in a timely fashion if patients with neuropathies are willing to participate. This perspective focuses on the value of having various outlets for informing both the patients and the physicians about existing clinical research opportunities and on the potential benefit of establishing patient registries to help with trial recruitment. Once data have been collected, there is a need to broadly share the data in order to inform future trials, and a first step would be to harmonize data collection by using Common Data Elements (CDEs). Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

Optimizing the early phase development of new analgesics by human pain biomarkers.

PubMed

Arendt-Nielsen, Lars; Hoeck, Hans Christian

2011-11-01

Human pain biomarkers are based on standardized acute activation of pain pathways/mechanisms and quantitative assessment of the evoked responses. This approach can be applied to healthy volunteers, to pain patients, and before and after pharmacological interventions to help understanding and profile the mode of action (proof-of-concept) of new and existing analgesic compounds. Standardized stimuli of different modalities can be applied to different tissues (multimodal and multi-tissue) for profiling analgesic compounds with respect to modulation of pain transduction, transmission, specific mechanisms and processing. This approach substantiates which specific compounds may work in particular clinical pain conditions. Human pain biomarkers can be translational and may bridge animal findings in clinical pain conditions, which in turn can provide new possibilities for designing more successful clinical trials. Biomarker based proof-of-concept drug studies in either volunteers or selected patient populations provide inexpensive, fast and reliable mechanism-based information about dose-efficacy relationships. This is important information in the early drug development phase and for designing large expensive clinical trials.

Anxiety and attention: is there an attentional bias for positive emotional stimuli?

PubMed

Ruiz-Caballero, J A; Bermúdez, J

1997-04-01

Empirical research has shown that anxiety is associated with a systematic bias in the cognitive system. Anxious individuals (clinically anxious patients and normal individuals with high-trait anxiety) are characterized by a pattern of selective processing that favors the encoding of threatening information. Is this attentional bias specific to threat-related information, or does it operate for positive emotional stimuli? The research directly connected with the existence of an attentional bias for threat in anxiety was examined.

Clinical social networking--a new revolution in provider communication and delivery of clinical information across providers of care?

PubMed

Kolowitz, Brian J; Lauro, Gonzalo Romero; Venturella, James; Georgiev, Veliyan; Barone, Michael; Deible, Christopher; Shrestha, Rasu

2014-04-01

The adoption of social media technologies appears to enhance clinical outcomes through improved communications as reported by Bacigalupe (Fam Syst Heal 29(1):1-14, 2011). The ability of providers to more effectively, directly, and rapidly communicate among themselves as well as with patients should strengthen collaboration and treatment as reported by Bacigalupe (Fam Syst Heal 29(1):1-14, 2011). This paper is a case study in one organization's development of an internally designed and developed social technology solution termed "Unite." The Unite system combines social technologies' features including push notifications, messaging, community groups, and user lists with clinical workflow and applications to construct dynamic provider networks, simplify communications, and facilitate clinical workflow optimization. Modeling Unite as a social technology may ease adoption barriers. Developing a social network that is integrated with healthcare information systems in the clinical space opens the doors to capturing and studying the way in which providers communicate. The Unite system appears to have the potential to breaking down existing communication paradigms. With Unite, a rich set of usage data tied to clinical events may unravel alternative networks that can be leveraged to advance patient care.

An Introduction to Natural Language Processing: How You Can Get More From Those Electronic Notes You Are Generating.

PubMed

Kimia, Amir A; Savova, Guergana; Landschaft, Assaf; Harper, Marvin B

2015-07-01

Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facility, but clinicians are familiar with coded data such as International Classification of Diseases, Ninth Revision, Systematized Nomenclature of Medicine-Clinical Terms codes, and commonly other data including patient chief complaints or laboratory results. Most electronic health records have much more clinical information stored as unstructured data, for example, clinical narrative such as history of present illness, procedure notes, and clinical decision making are stored as unstructured data. Despite the importance of this information, electronic capture or retrieval of unstructured clinical data has been challenging. The field of natural language processing (NLP) is undergoing rapid development, and existing tools can be successfully used for quality improvement, research, healthcare coding, and even billing compliance. In this brief review, we provide examples of successful uses of NLP using emergency medicine physician visit notes for various projects and the challenges of retrieving specific data and finally present practical methods that can run on a standard personal computer as well as high-end state-of-the-art funded processes run by leading NLP informatics researchers.

The experience of hepatitis C treatment for people with a history of mental health problems: An interpretative phenomenological analysis.

PubMed

Ware, K; Davies, J; Rowse, G; Whittaker, S

2015-07-01

This qualitative study explores the experience of hepatitis C virus treatment for people with pre-existing mental health problems within a large city hospital. Four men and four women with pre-existing mental health problems who had received hepatitis C virus treatment took part in semi-structured interviews which were analysed using interpretative phenomenological analysis. A central theme of 'Self, stigma and change' was identified which interlinked with three other main themes of 'Coping and responding to treatment', 'Connectedness to others' and 'The impact of information'. These themes and their sub-themes are discussed in relation to existing literature and clinical practice guidelines. © The Author(s) 2013.

Understanding skill acquisition among registered nurses: the 'perpetual novice' phenomenon.

PubMed

Wilson, Barbara; Harwood, Lori; Oudshoorn, Abe

2015-12-01

To determine whether the perpetual novice phenomenon exists beyond nephrology nursing where it was first described. The perpetual novice is a state in which nurses are unable to progress from a novice to an expert in one or more essential clinical skills which are used in their practice area. Maintaining clinical competence is essential to quality patient care outcomes. An exploratory, sequential, mixed methods design was used, comprised of a quantitative component followed by in-depth interviews. Registered nurses employed in one of four roles were recruited from two university-affiliated hospitals in London, Ontario, Canada: Clinical Educator, Clinical Nurse Specialist, Advanced Practice Nurse and Nurse Practitioner. Participants were first asked to complete and return a survey and demographic questionnaire. Following the return of the completed surveys, ten participants were interviewed to enhance the results of the surveys. The results of the surveys confirmed that the perpetual novice phenomenon exists across multiple nursing care areas. Four contributing factors, both personal and structural in nature, emerged from the interviews: (1) opportunities for education, (2) the context of learning, (3) personal motivation and initiative to learn and (4) the culture of the units where nurses worked. The perpetual novice phenomenon exists due to a combination of both personal factors as well as contextual factors in the work environment. The results assist in directing future educational interventions and provide nursing leaders with the information necessary to create work environments that best enable practicing nurses to acquire and maintain clinical competence. © 2015 John Wiley & Sons Ltd.

Assessing capacity to consent for research in cognitively impaired older patients

PubMed Central

Gilbert, Thomas; Bosquet, Antoine; Thomas-Antérion, Catherine; Bonnefoy, Marc; Le Saux, Olivia

2017-01-01

Background The number of clinical trials including older patients, and particularly patients with cognitive impairment, is increasing. While statutory provisions exist to make sure that the capacity to consent is assessed systematically for each patient, many gray areas remain with regard to how this assessment is made or should be made in the routine practice of clinical research. Objectives The aim of this review was to draw up an inventory of assessment tools evaluating older patients’ capacity to consent specifically applicable to clinical research, which could be used in routine practice. Methods Two authors independently searched PubMed, Cochrane, and Google Scholar data-bases between November 2015 and January 2016. The search was actualized in April 2017. We used keywords (MeSH terms and text words) referring to informed consent, capacity to consent, consent for research, research ethics, cognitive impairment, vulnerable older patients, and assessment tools. Existing reviews were also considered. Results Among the numerous existing tools for assessing capacity to consent, 14 seemed potentially suited for clinical research and six were evaluated in older patients. The MacArthur Competence Assessment Tool for Clinical Research (MacCAT-CR) was the most frequently cited. Conclusion The MacCAT-CR is currently the most used and the best validated questionnaire. However, it appears difficult to use and time-consuming. A more recent tool, the University of California Brief Assessment of Capacity to Consent (UBACC), seems interesting for routine practice because of its simplicity, relevance, and applicability in older patients. PMID:29026293

Is Phosphoproteomics Ready for Clinical Research?

PubMed Central

Iliuk, Anton B.; Tao, W. Andy

2012-01-01

Background For many diseases such as cancer where phosphorylation-dependent signaling is the foundation of disease onset and progression, single-gene testing and genomic profiling alone are not sufficient in providing most critical information. The reason for this is that in these activated pathways the signaling changes and drug resistance are often not directly correlated with changes in protein expression levels. In order to obtain the essential information needed to evaluate pathway activation or the effects of certain drugs and therapies on the molecular level, the analysis of changes in protein phosphorylation is critical. Methods Existing approaches do not differentiate clinical disease subtypes on the protein and signaling pathway level, and therefore hamper the predictive management of the disease and the selection of therapeutic targets. Conclusions The mini-review examines the impact of emerging systems biology tools and the possibility of applying phosphoproteomics to clinical research. PMID:23159844

Clinical trial transparency: many gains but access to evidence for new medicines remains imperfect.

PubMed

Mintzes, Barbara; Lexchin, Joel; Quintano, Ancella Santos

2015-01-01

Although selective and incomplete publication is widely acknowledged to be a problem, full access to clinical trial data remains illusive. Authors' personal files, key documents from Food and Drug Administration and European Medicines Agency and focussed searches of PubMed. Existing sources of information provide an incomplete overview of scientific research. Persistent arguments about commercial confidentiality and the potential difficulties in de-identifying raw data can block important progress. Current industry efforts are voluntary and only partially satisfy the need for complete data. Requirements for trial registration are increasing. Important regulatory changes in particular in Europe have the potential to result in the release of more information. Documenting the effects of prospective trial registration and requirements for proactive clinical trial publication on healthcare decisions, public health and rational resource allocation. © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

The Influence of Big (Clinical) Data and Genomics on Precision Medicine and Drug Development.

PubMed

Denny, Joshua C; Van Driest, Sara L; Wei, Wei-Qi; Roden, Dan M

2018-03-01

Drug development continues to be costly and slow, with medications failing due to lack of efficacy or presence of toxicity. The promise of pharmacogenomic discovery includes tailoring therapeutics based on an individual's genetic makeup, rational drug development, and repurposing medications. Rapid growth of large research cohorts, linked to electronic health record (EHR) data, fuels discovery of new genetic variants predicting drug action, supports Mendelian randomization experiments to show drug efficacy, and suggests new indications for existing medications. New biomedical informatics and machine-learning approaches advance the ability to interpret clinical information, enabling identification of complex phenotypes and subpopulations of patients. We review the recent history of use of "big data" from EHR-based cohorts and biobanks supporting these activities. Future studies using EHR data, other information sources, and new methods will promote a foundation for discovery to more rapidly advance precision medicine. © 2017 American Society for Clinical Pharmacology and Therapeutics.

Anonymity Versus Privacy: Selective Information Sharing in Online Cancer Communities

PubMed Central

Vermeulen, Ivar E; Beekers, Nienke

2014-01-01

Background Active sharing in online cancer communities benefits patients. However, many patients refrain from sharing health information online due to privacy concerns. Existing research on privacy emphasizes data security and confidentiality, largely focusing on electronic medical records. Patient preferences around information sharing in online communities remain poorly understood. Consistent with the privacy calculus perspective adopted from e-commerce research, we suggest that patients approach online information sharing instrumentally, weighing privacy costs against participation benefits when deciding whether to share certain information. Consequently, we argue that patients prefer sharing clinical information over daily life and identity information that potentially compromises anonymity. Furthermore, we explore whether patients’ prior experiences, age, health, and gender affect perceived privacy costs and thus willingness to share information. Objective The goal of the present study is to document patient preferences for sharing information within online health platforms. Methods A total of 115 cancer patients reported sharing intentions for 15 different types of information, demographics, health status, prior privacy experiences, expected community utility, and privacy concerns. Results Factor analysis on the 15 information types revealed 3 factors coinciding with 3 proposed information categories: clinical, daily life, and identity information. A within-subject ANOVA showed a strong preference for sharing clinical information compared to daily life and identity information (F 1,114=135.59, P=.001, η2=.93). Also, adverse online privacy experiences, age, and health status negatively affected information-sharing intentions. Female patients shared information less willingly. Conclusions Respondents’ information-sharing intentions depend on dispositional and situational factors. Patients share medical details more willingly than daily life or identity information. The results suggest the need to focus on anonymity rather than privacy in online communities. PMID:24828114

Anonymity versus privacy: selective information sharing in online cancer communities.

PubMed

Frost, Jeana; Vermeulen, Ivar E; Beekers, Nienke

2014-05-14

Active sharing in online cancer communities benefits patients. However, many patients refrain from sharing health information online due to privacy concerns. Existing research on privacy emphasizes data security and confidentiality, largely focusing on electronic medical records. Patient preferences around information sharing in online communities remain poorly understood. Consistent with the privacy calculus perspective adopted from e-commerce research, we suggest that patients approach online information sharing instrumentally, weighing privacy costs against participation benefits when deciding whether to share certain information. Consequently, we argue that patients prefer sharing clinical information over daily life and identity information that potentially compromises anonymity. Furthermore, we explore whether patients' prior experiences, age, health, and gender affect perceived privacy costs and thus willingness to share information. The goal of the present study is to document patient preferences for sharing information within online health platforms. A total of 115 cancer patients reported sharing intentions for 15 different types of information, demographics, health status, prior privacy experiences, expected community utility, and privacy concerns. Factor analysis on the 15 information types revealed 3 factors coinciding with 3 proposed information categories: clinical, daily life, and identity information. A within-subject ANOVA showed a strong preference for sharing clinical information compared to daily life and identity information (F1,114=135.59, P=.001, η(2)=.93). Also, adverse online privacy experiences, age, and health status negatively affected information-sharing intentions. Female patients shared information less willingly. Respondents' information-sharing intentions depend on dispositional and situational factors. Patients share medical details more willingly than daily life or identity information. The results suggest the need to focus on anonymity rather than privacy in online communities.

Mobile Care (Moca) for Remote Diagnosis and Screening

PubMed Central

Celi, Leo Anthony; Sarmenta, Luis; Rotberg, Jhonathan; Marcelo, Alvin; Clifford, Gari

2010-01-01

Moca is a cell phone-facilitated clinical information system to improve diagnostic, screening and therapeutic capabilities in remote resource-poor settings. The software allows transmission of any medical file, whether a photo, x-ray, audio or video file, through a cell phone to (1) a central server for archiving and incorporation into an electronic medical record (to facilitate longitudinal care, quality control, and data mining), and (2) a remote specialist for real-time decision support (to leverage expertise). The open source software is designed as an end-to-end clinical information system that seamlessly connects health care workers to medical professionals. It is integrated with OpenMRS, an existing open source medical records system commonly used in developing countries. PMID:21822397

The Future of Clinical Education: Opportunities and Challenges from Allied Health Deans' Perspective.

PubMed

Romig, Barbara D; Tucker, Ann W; Hewitt, Anne M; O'Sullivan Maillet, Julie

2017-01-01

There is limited information and consensus on the future of clinical education and the key factors impacting allied health (AH) clinical training. AH deans identified both opportunities and challenges impacting clinical education based on a proposed educational model. From July 2013 to March 2014, 61 deans whose institutions were 2013 members of the Association of Schools of Allied Health Professions (ASAHP) participated in a three-round Delphi survey. Agreement on the relative importance of and the ability to impact the key factors was analyzed. Impact was evaluated for three groups: individual, collective, and both individual and collective deans. AH deans' responses were summarized and refined; individual items were accepted or rerated until agreement was achieved or study conclusion. Based on the deans' ratings of importance and impact, 159 key factors within 13 clinical education categories emerged as important for the future of clinical education. Agreement was achieved on 107 opportunities and 52 challenges. The Delphi technique generated new information where little existed specific to AH deans' perspectives on AH clinical education. This research supports the Key Factors Impacting Allied Health Clinical Education conceptual model proposed earlier and provides a foundation for AH deans to evaluate opportunities and challenges impacting AH clinical education and to design action plans based on this research.

HIS/BUI: a conceptual model for bottom-up integration of hospital information systems.

PubMed

Zviran, M; Armoni, A; Glezer, C

1998-06-01

Many successful applications of information systems have been introduced and implemented in hospitals. However, the integration of these applications into a cohesive hospital-wide information system has proved to be more complicated to develop and difficult to accomplish than expected. This paper introduces HIS/BUI, a framework for bottom-up integration of hospital information systems, and demonstrates its application through a real-life case scenario. The scope of the proposed framework is the integration of heterogeneous clinical, administrative, and financial information elements of a hospital into a unified system environment. Under the integrated architecture, all existing local applications are preserved and interconnected to an information hub that serves as a central medical and administrative data warehouse.

Assessing risk of reoffending in adolescents who have committed a sexual offense: the accuracy of clinical judgments after completion of risk assessment instruments.

PubMed

Elkovitch, Natasha; Viljoen, Jodi L; Scalora, Mario J; Ullman, Daniel

2008-01-01

As courts often rely on clinicians when differentiating between sexually abusive youth at a low versus high risk of reoffense, understanding factors that contribute to accuracy in assessment of risk is imperative. The present study built on existing research by examining (1) the accuracy of clinical judgments of risk made after completing risk assessment instruments, (2) whether instrument-informed clinical judgments made with a high degree of confidence are associated with greater accuracy, and (3) the risk assessment instruments and subscales most predictive of clinical judgments. Raters assessed each youth's (n = 166) risk of reoffending after completing the SAVRY and J-SOAP-II. Raters were not able to predict detected cases of either sexual recidivism or nonsexual violent recidivism above chance, and a high degree of rater confidence was not associated with higher levels of accuracy. Total scores on the J-SOAP-II were predictive of instrument-informed clinical judgments of sexual risk, and total scores on the SAVRY of nonsexual risk.

Impact of Inclusion of Industry Trial Results Registries as an Information Source for Systematic Reviews

PubMed Central

Potthast, Regine; Vervölgyi, Volker; McGauran, Natalie; Kerekes, Michaela F.; Wieseler, Beate; Kaiser, Thomas

2014-01-01

Background Clinical trial results registries may contain relevant unpublished information. Our main aim was to investigate the potential impact of the inclusion of reports from industry results registries on systematic reviews (SRs). Methods We identified a sample of 150 eligible SRs in PubMed via backward selection. Eligible SRs investigated randomized controlled trials of drugs and included at least 2 bibliographic databases (original search date: 11/2009). We checked whether results registries of manufacturers and/or industry associations had also been searched. If not, we searched these registries for additional trials not considered in the SRs, as well as for additional data on trials already considered. We reanalysed the primary outcome and harm outcomes reported in the SRs and determined whether results had changed. A “change” was defined as either a new relevant result or a change in the statistical significance of an existing result. We performed a search update in 8/2013 and identified a sample of 20 eligible SRs to determine whether mandatory results registration from 9/2008 onwards in the public trial and results registry ClinicalTrials.gov had led to its inclusion as a standard information source in SRs, and whether the inclusion rate of industry results registries had changed. Results 133 of the 150 SRs (89%) in the original analysis did not search industry results registries. For 23 (17%) of these SRs we found 25 additional trials and additional data on 31 trials already included in the SRs. This additional information was found for more than twice as many SRs of drugs approved from 2000 as approved beforehand. The inclusion of the additional trials and data yielded changes in existing results or the addition of new results for 6 of the 23 SRs. Of the 20 SRs retrieved in the search update, 8 considered ClinicalTrials.gov or a meta-registry linking to ClinicalTrials.gov, and 1 considered an industry results registry. Conclusion The inclusion of industry and public results registries as an information source in SRs is still insufficient and may result in publication and outcome reporting bias. In addition to an essential search in ClinicalTrials.gov, authors of SRs should consider searching industry results registries. PMID:24743113

Truth-telling in clinical practice.

PubMed Central

Hébert, P. C.

1994-01-01

Disclosure by doctors to patients has changed during the past 30 years in the direction of honesty, but deception and nondisclosure are still common. Clear ethical and legal precedents and guidelines regarding truth-telling exist. Physicians should not protect patients from potentially upsetting information; they will be held responsible should patients be injured due to failure to disclose. PMID:7888823

Joint Probability Models of Radiology Images and Clinical Annotations

ERIC Educational Resources Information Center

Arnold, Corey Wells

2009-01-01

Radiology data, in the form of images and reports, is growing at a high rate due to the introduction of new imaging modalities, new uses of existing modalities, and the growing importance of objective image information in the diagnosis and treatment of patients. This increase has resulted in an enormous set of image data that is richly annotated…

Extending DICOM imaging to new clinical specialties in the healthcare enterprise

NASA Astrophysics Data System (ADS)

Kuzmak, Peter M.; Dayhoff, Ruth E.

2002-05-01

DICOM is a success for radiology and cardiology and it is now starting to be used for the other clinical specialties. The US Department of Veterans Affairs has been instrumental in promoting this advancement. We have worked with a number of non-radiology clinical speciality imaging vendors over the past two years, encouraging them to support DICOM, providing requirement specifications. Validating their implementations, using their products, and integrating their systems with the VA healthcare enterprise. We require each new clinical speciality vendor to support the DICOM Modality Worklist and Storage services and insist that they perform validation testing with us over the Internet. Two years ago we began working with two commercial DICOM image acquisition applications in ophthalmology and endoscopy. We are now dealing with over a dozen: five in ophthalmology, two in endoscopy, and six in dental. This has been a very productive endeavor. Because mature software development toolkits now exist, the vendors can quickly integrate DICOM with their existing imaging products. Each of the dental vendors, for example, was able to accomplish this task in less than three months. Getting the imaging modality vendors to support DICOM is only part of the story, however. We are also working on getting the VistA hospital information system to properly handle DICOM interfaces to various clinical specialties. This has been more difficult than expected because the workflow in clinical specialties is much more varied than that in radiology. This required us to develop software that is much more flexible than that used for radiology. Fortunately, the standard DICOM Modality Worklist and Storage services can be used without change. In addition to a more variable workflow, the use of structured reporting is much more advanced in clinical specialties than in radiology, and significant work is needed to define templates and communicate this data using DICOM. Since some speciality modules of our hospital information system currently store only report text, we also have to figure out how to store and display the discrete structured report data. The work involved in extending DICOM to the clinical specialties, and in integrating them with the hospital information system is an ongoing and worthwhile challenge. Our goal is to incorporate al of the patient's data into the electronic record, and DICOM is making this easier for everyone. Considerable investment, however, has to be made in the hospital information system software to accrue the full benefit.

Diagnosing dehydration? Blend evidence with clinical observations.

PubMed

Armstrong, Lawrence E; Kavouras, Stavros A; Walsh, Neil P; Roberts, William O

2016-11-01

The purpose of the review is to provide recommendations to improve clinical decision-making based on the strengths and weaknesses of commonly used hydration biomarkers and clinical assessment methods. There is widespread consensus regarding treatment, but not the diagnosis of dehydration. Even though it is generally accepted that a proper clinical diagnosis of dehydration can only be made biochemically rather than relying upon clinical signs and symptoms, no gold standard biochemical hydration index exists. Other than clinical biomarkers in blood (i.e., osmolality and blood urea nitrogen/creatinine) and in urine (i.e., osmolality and specific gravity), blood pressure assessment and clinical symptoms in the eye (i.e., tear production and palpitating pressure) and the mouth (i.e., thirst and mucous wetness) can provide important information for diagnosing dehydration. We conclude that clinical observations based on a combination of history, physical examination, laboratory values, and clinician experience remain the best approach to the diagnosis of dehydration.

Measuring Workload Demand of Informatics Systems with the Clinical Case Demand Index

PubMed Central

Iyengar, M. Sriram; Rogith, Deevakar; Florez-Arango, Jose F

2017-01-01

Introduction: The increasing use of Health Information Technology (HIT) can add substantially to workload on clinical providers. Current methods for assessing workload do not take into account the nature of clinical cases and the use of HIT tools while solving them. Methods: The Clinical Case Demand Index (CCDI), consisting of a summary score and visual representation, was developed to meet this need. Consistency with current perceived workload measures was evaluated in a Randomized Control Trial of a mobile health system. Results: CCDI is significantly correlated with existing workload measures and inversely related to provider performance. Discussion: CCDI combines subjective and objective characteristics of clinical cases along with cognitive and clinical dimensions. Applications include evaluation of HIT tools, clinician scheduling, medical education. Conclusion: CCDI supports comparative effectiveness research of HIT tools. In addition, CCDI could have numerous applications including training, clinical trials, design of clinical workflows, and others. PMID:29854166

Profiling Fast Healthcare Interoperability Resources (FHIR) of Family Health History based on the Clinical Element Models.

PubMed

Lee, Jaehoon; Hulse, Nathan C; Wood, Grant M; Oniki, Thomas A; Huff, Stanley M

2016-01-01

In this study we developed a Fast Healthcare Interoperability Resources (FHIR) profile to support exchanging a full pedigree based family health history (FHH) information across multiple systems and applications used by clinicians, patients, and researchers. We used previously developed clinical element models (CEMs) that are capable of representing the FHH information, and derived essential data elements including attributes, constraints, and value sets. We analyzed gaps between the FHH CEM elements and existing FHIR resources. Based on the analysis, we developed a profile that consists of 1) FHIR resources for essential FHH data elements, 2) extensions for additional elements that were not covered by the resources, and 3) a structured definition to integrate patient and family member information in a FHIR message. We implemented the profile using an open-source based FHIR framework and validated it using patient-entered FHH data that was captured through a locally developed FHH tool.

An organizational intervention to influence evidence-informed decision making in home health nursing.

PubMed

Gifford, Wendy; Lefebre, Nancy; Davies, Barbara

2014-01-01

The aims of this study were to field test and evaluate a series of organizational strategies to promote evidence-informed decision making (EIDM) by nurse managers and clinical leaders in home healthcare. EIDM is central to delivering high-quality and effective healthcare. Barriers exist and organizational strategies are needed to support EIDM. Management and clinical leaders from 4 units participated in a 20-week organization-focused intervention. Preintervention (n = 32) and postintervention (n = 17) surveys and semistructured interviews (n = 15) were completed. Statistically significant increases were found on 4 of 31 survey items reflecting an increased organizational capacity for participants to acquire and apply research evidence in decision making. Support from designated facilitators with advanced skills in finding, appraising, and applying research was the highest rated intervention strategy. Results are useful to inform the development of organizational infrastructures to increase EIDM capacity in community-based healthcare organizations.

Japan: seeds of consciousness.

PubMed

Domoto, A

1993-01-01

Historically, women's bodies in Japan have been viewed as tools to support larger national populations. Men remain emotionally and physically in control sexual relations. Women are deprived of adequate information to exert control over their bodies and fertility. Health and welfare policies view women's sexuality strictly in terms of marriage and motherhood; the reproductive health needs of unmarried women are ignored. There are no clinics where women can receive information about sexuality or contraception, despite the existence since 1952 of a national family planning program. Abortion remains the predominant form of birth control since oral contraceptives are not available and diaphragms and IUDs are difficult to obtain. Japanese women are beginning to organize for gender, reproductive, and sexual rights, but traditional attitudes remain a barrier. If Japanese women are to control their own bodies, they must first understand them through access to sex education. Clinics should be established where women can obtain information, counseling and services on sex, abortion, and contraception.

Monitoring the impact of decentralised chronic care services on patient travel time in rural Africa--methods and results in Northern Malawi.

PubMed

Houben, Rein M G J; Van Boeckel, Thomas P; Mwinuka, Venance; Mzumara, Peter; Branson, Keith; Linard, Catherine; Chimbwandira, Frank; French, Neil; Glynn, Judith R; Crampin, Amelia C

2012-11-15

Decentralised health services form a key part of chronic care strategies in resource-limited settings by reducing the distance between patient and clinic and thereby the time and costs involved in travelling. However, few tools exist to evaluate the impact of decentralisation on patient travel time or what proportion of patients attend their nearest clinic. Here we develop methods to monitor changes in travel time, using data from the antiretroviral therapy (ART) roll-out in a rural district in North Malawi. Clinic position was combined with GPS information on the home village of patients accessing ART services in Karonga District (North Malawi) between July 2005 and July 2009. Potential travel time was estimated as the travel time for an individual attending their nearest clinic, and estimated actual travel time as the time to the clinic attended. This allowed us to calculate changes in potential and actual travel time as new clinics opened and track the proportion and origin of patients not accessing their nearest clinic. The model showed how the opening of further ART clinics in Karonga District reduced median potential travel time from 83 to 43 minutes, and median actual travel time fell from 83 to 47 minutes. The proportion of patients not attending their nearest clinic increased from 6% when two clinics were open, to 12% with four open. Integrating GPS information with patient data shows the impact of decentralisation on travel time and clinic choice to inform policy and research questions. In our case study, travel time decreased, accompanied by an increased uptake of services. However, the model also identified an increasing proportion of ART patients did not attend their nearest clinic.

Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders

PubMed Central

Kim, Katherine K; Browe, Dennis K; Logan, Holly C; Holm, Roberta; Hack, Lori; Ohno-Machado, Lucila

2014-01-01

There is currently limited information on best practices for the development of governance requirements for distributed research networks (DRNs), an emerging model that promotes clinical data reuse and improves timeliness of comparative effectiveness research. Much of the existing information is based on a single type of stakeholder such as researchers or administrators. This paper reports on a triangulated approach to developing DRN data governance requirements based on a combination of policy analysis with experts, interviews with institutional leaders, and patient focus groups. This approach is illustrated with an example from the Scalable National Network for Effectiveness Research, which resulted in 91 requirements. These requirements were analyzed against the Fair Information Practice Principles (FIPPs) and Health Insurance Portability and Accountability Act (HIPAA) protected versus non-protected health information. The requirements addressed all FIPPs, showing how a DRN's technical infrastructure is able to fulfill HIPAA regulations, protect privacy, and provide a trustworthy platform for research. PMID:24302285

Developing a systematic approach to safer medication use during pregnancy: summary of a Centers for Disease Control and Prevention--convened meeting.

PubMed

Broussard, Cheryl S; Frey, Meghan T; Hernandez-Diaz, Sonia; Greene, Michael F; Chambers, Christina D; Sahin, Leyla; Collins Sharp, Beth A; Honein, Margaret A

2014-09-01

To address information gaps that limit informed clinical decisions on medication use in pregnancy, the Centers for Disease Control and Prevention (CDC) solicited expert input on a draft prototype outlining a systematic approach to evaluating the quality and strength of existing evidence for associated risks. The draft prototype outlined a process for the systematic review of available evidence and deliberations by a panel of experts to inform clinical decision making for managing health conditions in pregnancy. At an expert meeting convened by the CDC in January 2013, participants divided into working groups discussed decision points within the prototype. This report summarizes their discussions of best practices for formulating an expert review process, developing evidence summaries and treatment guidance, and disseminating information. There is clear recognition of current knowledge gaps and a strong collaboration of federal partners, academic experts, and professional organizations willing to work together toward safer medication use during pregnancy. Published by Elsevier Inc.

Developing a systematic approach to safer medication use during pregnancy: summary of a Centers for Disease Control and Prevention—convened meeting

PubMed Central

Broussard, Cheryl S.; Frey, Meghan T.; Hernandez-Diaz, Sonia; Greene, Michael F.; Chambers, Christina D.; Sahin, Leyla; Collins Sharp, Beth A.; Honein, Margaret A.

2015-01-01

To address information gaps that limit informed clinical decisions on medication use in pregnancy, the Centers for Disease Control and Prevention (CDC) solicited expert input on a draft prototype outlining a systematic approach to evaluating the quality and strength of existing evidence for associated risks. The draft prototype outlined a process for the systematic review of available evidence and deliberations by a panel of experts to inform clinical decision making for managing health conditions in pregnancy. At an expert meeting convened by the CDC in January 2013, participants divided into working groups discussed decision points within the prototype. This report summarizes their discussions of best practices for formulating an expert review process, developing evidence summaries and treatment guidance, and disseminating information. There is clear recognition of current knowledge gaps and a strong collaboration of federal partners, academic experts, and professional organizations willing to work together toward safer medication use during pregnancy. PMID:24881821

An overview of biomedical literature search on the World Wide Web in the third millennium.

PubMed

Kumar, Prince; Goel, Roshni; Jain, Chandni; Kumar, Ashish; Parashar, Abhishek; Gond, Ajay Ratan

2012-06-01

Complete access to the existing pool of biomedical literature and the ability to "hit" upon the exact information of the relevant specialty are becoming essential elements of academic and clinical expertise. With the rapid expansion of the literature database, it is almost impossible to keep up to date with every innovation. Using the Internet, however, most people can freely access this literature at any time, from almost anywhere. This paper highlights the use of the Internet in obtaining valuable biomedical research information, which is mostly available from journals, databases, textbooks and e-journals in the form of web pages, text materials, images, and so on. The authors present an overview of web-based resources for biomedical researchers, providing information about Internet search engines (e.g., Google), web-based bibliographic databases (e.g., PubMed, IndMed) and how to use them, and other online biomedical resources that can assist clinicians in reaching well-informed clinical decisions.

Wearable technology as a booster of clinical care

NASA Astrophysics Data System (ADS)

Jonas, Stephan; Hannig, Andreas; Spreckelsen, Cord; Deserno, Thomas M.

2014-03-01

Wearable technology defines a new class of smart devices that are accessories or clothing equipped with computational power and sensors, like Google Glass. In this work, we propose a novel concept for supporting everyday clinical pathways with wearable technology. In contrast to most prior work, we are not focusing on the omnipresent screen to display patient information or images, but are trying to maintain existing workflows. To achieve this, our system supports clinical staff as a documenting observer, only intervening adequately if problems are detected. Using the example of medication preparation and administration, a task known to be prone to errors, we demonstrate the full potential of the new devices. Patient and medication identifier are captured with the built-in camera, and the information is send to a transaction server. The server communicates with the hospital information system to obtain patient records and medication information. The system then analyses the new medication for possible side-effects and interactions with already administered drugs. The result is sent to the device while encapsulating all sensitive information respecting data security and privacy. The user only sees a traffic light style encoded feedback to avoid distraction. The server can reduce documentation efforts and reports in real-time on possible problems during medication preparation or administration. In conclusion, we designed a secure system around three basic principles with many applications in everyday clinical work: (i) interaction and distraction is kept as low as possible; (ii) no patient data is displayed; and (iii) device is pure observer, not part of the workflow. By reducing errors and documentation burden, our approach has the capability to boost clinical care.

Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis.

PubMed

Moreno-Conde, Alberto; Moner, David; Cruz, Wellington Dimas da; Santos, Marcelo R; Maldonado, José Alberto; Robles, Montserrat; Kalra, Dipak

2015-07-01

This systematic review aims to identify and compare the existing processes and methodologies that have been published in the literature for defining clinical information models (CIMs) that support the semantic interoperability of electronic health record (EHR) systems. Following the preferred reporting items for systematic reviews and meta-analyses systematic review methodology, the authors reviewed published papers between 2000 and 2013 that covered that semantic interoperability of EHRs, found by searching the PubMed, IEEE Xplore, and ScienceDirect databases. Additionally, after selection of a final group of articles, an inductive content analysis was done to summarize the steps and methodologies followed in order to build CIMs described in those articles. Three hundred and seventy-eight articles were screened and thirty six were selected for full review. The articles selected for full review were analyzed to extract relevant information for the analysis and characterized according to the steps the authors had followed for clinical information modeling. Most of the reviewed papers lack a detailed description of the modeling methodologies used to create CIMs. A representative example is the lack of description related to the definition of terminology bindings and the publication of the generated models. However, this systematic review confirms that most clinical information modeling activities follow very similar steps for the definition of CIMs. Having a robust and shared methodology could improve their correctness, reliability, and quality. Independently of implementation technologies and standards, it is possible to find common patterns in methods for developing CIMs, suggesting the viability of defining a unified good practice methodology to be used by any clinical information modeler. © 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 differential diagnosis of inherited endocrine tumors and their tumor counterparts

PubMed Central

Toledo, Sergio P. A.; Lourenço, Delmar M.; Toledo, Rodrigo A.

2013-01-01

Inherited endocrine tumors have been increasingly recognized in clinical practice, although some difficulties still exist in differentiating these conditions from their sporadic endocrine tumor counterparts. Here, we list the 12 main topics that could add helpful information and clues for performing an early differential diagnosis to distinguish between these conditions. The early diagnosis of patients with inherited endocrine tumors may be performed either clinically or by mutation analysis in at-risk individuals. Early detection usually has a large impact in tumor management, allowing preventive clinical or surgical therapy in most cases. Advice for the clinical and surgical management of inherited endocrine tumors is also discussed. In addition, recent clinical and genetic advances for 17 different forms of inherited endocrine tumors are briefly reviewed. PMID:23917672

BoB, a best-of-breed automated text de-identification system for VHA clinical documents.

PubMed

Ferrández, Oscar; South, Brett R; Shen, Shuying; Friedlin, F Jeffrey; Samore, Matthew H; Meystre, Stéphane M

2013-01-01

De-identification allows faster and more collaborative clinical research while protecting patient confidentiality. Clinical narrative de-identification is a tedious process that can be alleviated by automated natural language processing methods. The goal of this research is the development of an automated text de-identification system for Veterans Health Administration (VHA) clinical documents. We devised a novel stepwise hybrid approach designed to improve the current strategies used for text de-identification. The proposed system is based on a previous study on the best de-identification methods for VHA documents. This best-of-breed automated clinical text de-identification system (aka BoB) tackles the problem as two separate tasks: (1) maximize patient confidentiality by redacting as much protected health information (PHI) as possible; and (2) leave de-identified documents in a usable state preserving as much clinical information as possible. We evaluated BoB with a manually annotated corpus of a variety of VHA clinical notes, as well as with the 2006 i2b2 de-identification challenge corpus. We present evaluations at the instance- and token-level, with detailed results for BoB's main components. Moreover, an existing text de-identification system was also included in our evaluation. BoB's design efficiently takes advantage of the methods implemented in its pipeline, resulting in high sensitivity values (especially for sensitive PHI categories) and a limited number of false positives. Our system successfully addressed VHA clinical document de-identification, and its hybrid stepwise design demonstrates robustness and efficiency, prioritizing patient confidentiality while leaving most clinical information intact.

Role of Biomarkers for the Prevention, Assessment, and Management of Heart Failure: A Scientific Statement From the American Heart Association.

PubMed

Chow, Sheryl L; Maisel, Alan S; Anand, Inder; Bozkurt, Biykem; de Boer, Rudolf A; Felker, G Michael; Fonarow, Gregg C; Greenberg, Barry; Januzzi, James L; Kiernan, Michael S; Liu, Peter P; Wang, Thomas J; Yancy, Clyde W; Zile, Michael R

2017-05-30

Natriuretic peptides have led the way as a diagnostic and prognostic tool for the diagnosis and management of heart failure (HF). More recent evidence suggests that natriuretic peptides along with the next generation of biomarkers may provide added value to medical management, which could potentially lower risk of mortality and readmissions. The purpose of this scientific statement is to summarize the existing literature and to provide guidance for the utility of currently available biomarkers. The writing group used systematic literature reviews, published translational and clinical studies, clinical practice guidelines, and expert opinion/statements to summarize existing evidence and to identify areas of inadequacy requiring future research. The panel reviewed the most relevant adult medical literature excluding routine laboratory tests using MEDLINE, EMBASE, and Web of Science through December 2016. The document is organized and classified according to the American Heart Association to provide specific suggestions, considerations, or contemporary clinical practice recommendations. A number of biomarkers associated with HF are well recognized, and measuring their concentrations in circulation can be a convenient and noninvasive approach to provide important information about disease severity and helps in the detection, diagnosis, prognosis, and management of HF. These include natriuretic peptides, soluble suppressor of tumorgenicity 2, highly sensitive troponin, galectin-3, midregional proadrenomedullin, cystatin-C, interleukin-6, procalcitonin, and others. There is a need to further evaluate existing and novel markers for guiding therapy and to summarize their data in a standardized format to improve communication among researchers and practitioners. HF is a complex syndrome involving diverse pathways and pathological processes that can manifest in circulation as biomarkers. A number of such biomarkers are now clinically available, and monitoring their concentrations in blood not only can provide the clinician information about the diagnosis and severity of HF but also can improve prognostication and treatment strategies. © 2017 American Heart Association, Inc.

Realising the knowledge spiral in healthcare: the role of data mining and knowledge management.

PubMed

Wickramasinghe, Nilmini; Bali, Rajeev K; Gibbons, M Chris; Schaffer, Jonathan

2008-01-01

Knowledge Management (KM) is an emerging business approach aimed at solving current problems such as competitiveness and the need to innovate which are faced by businesses today. The premise for the need for KM is based on a paradigm shift in the business environment where knowledge is central to organizational performance . Organizations trying to embrace KM have many tools, techniques and strategies at their disposal. A vital technique in KM is data mining which enables critical knowledge to be gained from the analysis of large amounts of data and information. The healthcare industry is a very information rich industry. The collecting of data and information permeate most, if not all areas of this industry; however, the healthcare industry has yet to fully embrace KM, let alone the new evolving techniques of data mining. In this paper, we demonstrate the ubiquitous benefits of data mining and KM to healthcare by highlighting their potential to enable and facilitate superior clinical practice and administrative management to ensue. Specifically, we show how data mining can realize the knowledge spiral by effecting the four key transformations identified by Nonaka of turning: (1) existing explicit knowledge to new explicit knowledge, (2) existing explicit knowledge to new tacit knowledge, (3) existing tacit knowledge to new explicit knowledge and (4) existing tacit knowledge to new tacit knowledge. This is done through the establishment of theoretical models that respectively identify the function of the knowledge spiral and the powers of data mining, both exploratory and predictive, in the knowledge discovery process. Our models are then applied to a healthcare data set to demonstrate the potential of this approach as well as the implications of such an approach to the clinical and administrative aspects of healthcare. Further, we demonstrate how these techniques can facilitate hospitals to address the six healthcare quality dimensions identified by the Committee for Quality Healthcare.

Clinical research in the United States at a crossroads: proposal for a novel public-private partnership to establish a national clinical research enterprise.

PubMed

Crowley, William F; Sherwood, Louis; Salber, Patricia; Scheinberg, David; Slavkin, Hal; Tilson, Hugh; Reece, E Albert; Catanese, Veronica; Johnson, Stephen B; Dobs, Adrian; Genel, Myron; Korn, Allan; Reame, Nancy; Bonow, Robert; Grebb, Jack; Rimoin, David

2004-03-03

The clinical research infrastructure of the United States is currently at a critical crossroads. To leverage the enormous biomedical research gains made in the past century efficiently, a drastic need exists to reengineer this system into a coordinated, safe, and more efficient and effective enterprise. To accomplish this task, clinical research must be transformed from its current state as a cottage industry to an enterprise-wide health care pipeline whose function is to bring the novel research from both government and private entities to the US public. We propose the establishment of a unique public-private partnership termed the National Clinical Research Enterprise (NCRE). Its agenda should consist of informed public participation, supportive information technologies, a skilled workforce, and adequate funding in clinical research. Devoting only 0.25% of the budgets from all health care stakeholders to support the NCRE would permit adequate funding to build the infrastructure required to address these problems in an enterprise fashion. All participants in the US health care delivery system must come together to focus on system-wide improvements that will benefit the public.

Assessing the information in the Summaries of Product Characteristics for the use of medicines in pregnancy and lactation

PubMed Central

Arguello, Blanca; Salgado, Teresa M; Fernandez-Llimos, Fernando

2015-01-01

Aims To assess the completeness and applicability of information for the use of medicines in pregnancy and lactation contained in European Summaries of Product Characteristics (SmPCs). Methods SmPCs available on the EMA website in April 2011 were retrieved, and information on the use of medicines during pregnancy and lactation was analyzed. A form was designed to extract information regarding drug concentrations crossing the placenta, excretion of the drug in milk, the existence of pre-clinical and clinical studies and clinical experience describing the use of the medicine in pregnancy and lactation, medicine effects on human fertility, medicines use in women of child-bearing potential and specific recommendations for use during pregnancy and breastfeeding. SmPCs were classified as containing ‘conclusive’ or ‘ambiguous’ information depending on whether (or not) they provided clear instructions regarding medicine use in pregnancy and lactation. Results Of the 534 SmPCs, 89.3% did not mention whether the drug crossed the placenta, 67.6% indicated that there was no clinical experience during pregnancy and in 61.4% it was unknown whether the medicine was excreted in human milk. Recommendations for medicine use during pregnancy and breastfeeding were ambiguous in 57.0% and 16.5% of the SmPCs, respectively, and medicine use was restricted in over 90% SmPCs for both pregnancy and breastfeeding, despite no information supporting these restrictions being reported. The time elapsed since a SmPCs first approval was not associated with an increase in information quality. Conclusions Important information deficits on the use of medicines during pregnancy and breastfeeding were found in European SmPCs. PMID:25224071

Assessing the information in the Summaries of Product Characteristics for the use of medicines in pregnancy and lactation.

PubMed

Arguello, Blanca; Salgado, Teresa M; Fernandez-Llimos, Fernando

2015-03-01

To assess the completeness and applicability of information for the use of medicines in pregnancy and lactation contained in European Summaries of Product Characteristics (SmPCs). SmPCs available on the EMA website in April 2011 were retrieved, and information on the use of medicines during pregnancy and lactation was analyzed. A form was designed to extract information regarding drug concentrations crossing the placenta, excretion of the drug in milk, the existence of pre-clinical and clinical studies and clinical experience describing the use of the medicine in pregnancy and lactation, medicine effects on human fertility, medicines use in women of child-bearing potential and specific recommendations for use during pregnancy and breastfeeding. SmPCs were classified as containing 'conclusive' or 'ambiguous' information depending on whether (or not) they provided clear instructions regarding medicine use in pregnancy and lactation. Of the 534 SmPCs, 89.3% did not mention whether the drug crossed the placenta, 67.6% indicated that there was no clinical experience during pregnancy and in 61.4% it was unknown whether the medicine was excreted in human milk. Recommendations for medicine use during pregnancy and breastfeeding were ambiguous in 57.0% and 16.5% of the SmPCs, respectively, and medicine use was restricted in over 90% SmPCs for both pregnancy and breastfeeding, despite no information supporting these restrictions being reported. The time elapsed since a SmPCs first approval was not associated with an increase in information quality. Important information deficits on the use of medicines during pregnancy and breastfeeding were found in European SmPCs. © 2014 The British Pharmacological Society.

Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.

PubMed

Yang, Xian; Han, Rui; Guo, Yike; Bradley, Jeremy; Cox, Benita; Dickinson, Robert; Kitney, Richard

2012-01-01

Hospitals nowadays have to serve numerous patients with limited medical staff and equipment while maintaining healthcare quality. Clinical pathway informatics is regarded as an efficient way to solve a series of hospital challenges. To date, conventional research lacks a mathematical model to describe clinical pathways. Existing vague descriptions cannot fully capture the complexities accurately in clinical pathways and hinders the effective management and further optimization of clinical pathways. Given this motivation, this paper presents a clinical pathway management platform, the Imperial Clinical Pathway Analyzer (ICPA). By extending the stochastic model performance evaluation process algebra (PEPA), ICPA introduces a clinical-pathway-specific model: clinical pathway PEPA (CPP). ICPA can simulate stochastic behaviours of a clinical pathway by extracting information from public clinical databases and other related documents using CPP. Thus, the performance of this clinical pathway, including its throughput, resource utilisation and passage time can be quantitatively analysed. A typical clinical pathway on stroke extracted from a UK hospital is used to illustrate the effectiveness of ICPA. Three application scenarios are tested using ICPA: 1) redundant resources are identified and removed, thus the number of patients being served is maintained with less cost; 2) the patient passage time is estimated, providing the likelihood that patients can leave hospital within a specific period; 3) the maximum number of input patients are found, helping hospitals to decide whether they can serve more patients with the existing resource allocation. ICPA is an effective platform for clinical pathway management: 1) ICPA can describe a variety of components (state, activity, resource and constraints) in a clinical pathway, thus facilitating the proper understanding of complexities involved in it; 2) ICPA supports the performance analysis of clinical pathway, thereby assisting hospitals to effectively manage time and resources in clinical pathway.

The effects of information framing on the practices of physicians.

PubMed

McGettigan, P; Sly, K; O'Connell, D; Hill, S; Henry, D

1999-10-01

The presentation format of clinical trial results, or the "frame," may influence perceptions about the worth of a treatment. The extent and consistency of that influence are unclear. We undertook a systematic review of the published literature on the effects of information framing on the practices of physicians. Relevant articles were retrieved using bibliographic and electronic searches. Information was extracted from each in relation to study design, frame type, parameter assessed, assessment scale, clinical setting, intervention, results, and factors modifying the frame effect. Twelve articles reported randomized trials investigating the effect of framing on doctors' opinions or intended practices. Methodological shortcomings were numerous. Seven papers investigated the effect of presenting clinical trial results in terms of relative risk reduction, or absolute risk reductions or the number needing to be treated; gain/loss (positive/negative) terms were used in four papers; verbal/numeric terms in one. In simple clinical scenarios, results expressed in relative risk reduction or gain terms were viewed most positively by doctors. Factors that reduced the impact of framing included the risk of causing harm, preexisting prejudices about treatments, the type of decision, the therapeutic yield, clinical experience, and costs. No study investigated the effect of framing on actual clinical practice. While a framing effect may exist, particularly when results are presented in terms of proportional or absolute measures of gain or loss, it appears highly susceptible to modification, and even neutralization, by other factors that influence doctors' decision making. Its effects on actual clinical practice are unknown.

Physician capability to electronically exchange clinical information, 2011.

PubMed

Patel, Vaishali; Swain, Matthew J; King, Jennifer; Furukawa, Michael F

2013-10-01

To provide national estimates of physician capability to electronically share clinical information with other providers and to describe variation in exchange capability across states and electronic health record (EHR) vendors using the 2011 National Ambulatory Medical Care Survey Electronic Medical Record Supplement. Survey of a nationally representative sample of nonfederal office-based physicians who provide direct patient care. The survey was administered by mail with telephone follow-up and had a 61% weighted response rate. The overall sample consisted of 4326 respondents. We calculated estimates of electronic exchange capability at the national and state levels, and applied multivariate analyses to examine the association between the capability to exchange different types of clinical information and physician and practice characteristics. In 2011, 55% of physicians had computerized capability to send prescriptions electronically; 67% had the capability to view lab results electronically; 42% were able to incorporate lab results into their EHR; 35% were able to send lab orders electronically; and, 31% exchanged patient clinical summaries with other providers. The strongest predictor of exchange capability is adoption of an EHR. However, substantial variation exists across geography and EHR vendors in exchange capability, especially electronic exchange of clinical summaries. In 2011, a majority of office-based physicians could exchange lab and medication data, and approximately one-third could exchange clinical summaries with patients or other providers. EHRs serve as a key mechanism by which physicians can exchange clinical data, though physicians' capability to exchange varies by vendor and by state.

Participants’ perceptions and understanding of a malaria clinical trial in Bangladesh

PubMed Central

2014-01-01

Background Existing evidence suggests that there is often limited understanding among participants in clinical trials about the informed consent process, resulting in their providing consent without really understanding the purpose of the study, specific procedures, and their rights. The objective of the study was to determine the subjects’ understanding of research, perceptions of voluntariness and motivations for participation in a malaria clinical trial. Methods In this study semi-structured interviews of adult clinical trial participants with uncomplicated falciparum malaria were conducted in Ramu Upazila Health Complex, in Bangladesh. Results Of 16 participants, the vast majority (81%) were illiterate. All subjects had a ‘therapeutic misconception’ i.e. the trial was perceived to be conducted primarily for the benefit of individual patients when in fact the main objective was to provide information to inform public health policy. From the patients’ perspective, getting well from their illness was their major concern. Poor actual understanding of trial specific procedures was reported despite participants’ satisfaction with treatment and nursing care. Conclusion There is frequently a degree of overlap between research and provision of clinical care in malaria research studies. Patients may be motivated to participate to research without a good understanding of the principal objectives of the study despite a lengthy consent process. The findings suggest that use of a standard consent form following the current ICH-GCP guidelines does not result in achieving fully informed consent and the process should be revised, simplified and adapted to individual trial settings. PMID:24893933

Participants' perceptions and understanding of a malaria clinical trial in Bangladesh.

PubMed

Das, Debashish; Cheah, Phaik Yeong; Akter, Fateha; Paul, Dulal; Islam, Akhterul; Sayeed, Abdullah A; Samad, Rasheda; Rahman, Ridwanur; Hossain, Amir; Dondorp, Arjen; Day, Nicholas P; White, Nicholas J; Hasan, Mahtabuddin; Ghose, Aniruddha; Ashley, Elizabeth A; Faiz, Abul

2014-06-04

Existing evidence suggests that there is often limited understanding among participants in clinical trials about the informed consent process, resulting in their providing consent without really understanding the purpose of the study, specific procedures, and their rights. The objective of the study was to determine the subjects' understanding of research, perceptions of voluntariness and motivations for participation in a malaria clinical trial. In this study semi-structured interviews of adult clinical trial participants with uncomplicated falciparum malaria were conducted in Ramu Upazila Health Complex, in Bangladesh. Of 16 participants, the vast majority (81%) were illiterate. All subjects had a 'therapeutic misconception' i.e. the trial was perceived to be conducted primarily for the benefit of individual patients when in fact the main objective was to provide information to inform public health policy. From the patients' perspective, getting well from their illness was their major concern. Poor actual understanding of trial specific procedures was reported despite participants' satisfaction with treatment and nursing care. There is frequently a degree of overlap between research and provision of clinical care in malaria research studies. Patients may be motivated to participate to research without a good understanding of the principal objectives of the study despite a lengthy consent process. The findings suggest that use of a standard consent form following the current ICH-GCP guidelines does not result in achieving fully informed consent and the process should be revised, simplified and adapted to individual trial settings.

Overview of practice management in child and adolescent psychiatry.

PubMed

Schreter, Robert K

2010-01-01

The manager of a psychiatric practice must create and direct a clinical delivery system, design and oversee the administrative services necessary to support the system, and guide the business operations that contribute to its success. Regardless of the size of the practice, the psychiatrist administrator must handle seven core administrative responsibilities and oversee individual functions and capabilities within each domain. These responsibilities include practice development, clinical services management, medical office operations, clinical management, information management, business management, and risk management. This article provides a roadmap for creating and sustaining successful clinical and administrative endeavors. It can also be used by existing practices as an audit instrument to provide a snapshot of current capabilities so that strengths as well as opportunities for continued growth can be identified.

Review: evaluating information systems in nursing.

PubMed

Oroviogoicoechea, Cristina; Elliott, Barbara; Watson, Roger

2008-03-01

To review existing nursing research on inpatient hospitals' information technology (IT) systems in order to explore new approaches for evaluation research on nursing informatics to guide further design and implementation of effective IT systems. There has been an increase in the use of IT and information systems in nursing in recent years. However, there has been little evaluation of these systems and little guidance on how they might be evaluated. A literature review was conducted between 1995 and 2005 inclusive using CINAHL and Medline and the search terms 'nursing information systems', 'clinical information systems', 'hospital information systems', 'documentation', 'nursing records', 'charting'. Research in nursing information systems was analysed and some deficiencies and contradictory results were identified which impede a comprehensive understanding of effective implementation. There is a need for IT systems to be understood from a wider perspective that includes aspects related to the context where they are implemented. Social and organizational aspects need to be considered in evaluation studies and realistic evaluation can provide a framework for the evaluation of information systems in nursing. The rapid introduction of IT systems for clinical practice urges evaluation of already implemented systems examining how and in what circumstances they work to guide effective further development and implementation of IT systems to enhance clinical practice. Evaluation involves more factors than just involving technologies such as changing attitudes, cultures and healthcare practices. Realistic evaluation could provide configurations of context-mechanism-outcomes that explain the underlying relationships to understand why and how a programme or intervention works.

Development of a real-time clinical decision support system upon the web mvc-based architecture for prostate cancer treatment

PubMed Central

2011-01-01

Background A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. Methods We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. Results The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. Conclusions Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases. PMID:21385459

Development of a real-time clinical decision support system upon the Web MVC-based architecture for prostate cancer treatment.

PubMed

Lin, Hsueh-Chun; Wu, Hsi-Chin; Chang, Chih-Hung; Li, Tsai-Chung; Liang, Wen-Miin; Wang, Jong-Yi Wang

2011-03-08

A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases.

Implementing Single Source: The STARBRITE Proof-of-Concept Study

PubMed Central

Kush, Rebecca; Alschuler, Liora; Ruggeri, Roberto; Cassells, Sally; Gupta, Nitin; Bain, Landen; Claise, Karen; Shah, Monica; Nahm, Meredith

2007-01-01

Objective Inefficiencies in clinical trial data collection cause delays, increase costs, and may reduce clinician participation in medical research. In this proof-of-concept study, we examine the feasibility of using point-of-care data capture for both the medical record and clinical research in the setting of a working clinical trial. We hypothesized that by doing so, we could increase reuse of patient data, eliminate redundant data entry, and minimize disruption to clinic workflow. Design We developed and used a point-of-care electronic data capture system to record data during patient visits. The standards-based system was used for clinical research and to generate the clinic note for the medical record. The system worked in parallel with data collection procedures already in place for an ongoing multicenter clinical trial. Our system was iteratively designed after analyzing case report forms and clinic notes, and observing clinic workflow patterns and business procedures. Existing data standards from CDISC and HL7 were used for database insertion and clinical document exchange. Results Our system was successfully integrated into the clinic environment and used in two live test cases without disrupting existing workflow. Analyses performed during system design yielded detailed information on practical issues affecting implementation of systems that automatically extract, store, and reuse healthcare data. Conclusion Although subject to the limitations of a small feasibility study, our study demonstrates that electronic patient data can be reused for prospective multicenter clinical research and patient care, and demonstrates a need for further development of therapeutic area standards that can facilitate researcher use of healthcare data. PMID:17600107

Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers.

PubMed

Hultman, Gretchen; McEwan, Reed; Pakhomov, Serguei; Lindemann, Elizabeth; Skube, Steven; Melton, Genevieve B

2018-01-01

Natural Language Processing - Patient Information Extraction for Researchers (NLP-PIER) was developed for clinical researchers for self-service Natural Language Processing (NLP) queries with clinical notes. This study was to conduct a user-centered analysis with clinical researchers to gain insight into NLP-PIER's usability and to gain an understanding of the needs of clinical researchers when using an application for searching clinical notes. Clinical researcher participants (n=11) completed tasks using the system's two existing search interfaces and completed a set of surveys and an exit interview. Quantitative data including time on task, task completion rate, and survey responses were collected. Interviews were analyzed qualitatively. Survey scores, time on task and task completion proportions varied widely. Qualitative analysis indicated that participants found the system to be useful and usable in specific projects. This study identified several usability challenges and our findings will guide the improvement of NLP-PIER 's interfaces.

The common practice of "curbside consultation": A systematic review.

PubMed

Papermaster, Amy; Champion, Jane Dimmitt

2017-10-01

Point-of-care information needs for nurse practitioners are tremendous. A phenomenon often referred to as curbside consultation (CC) with colleagues is an information source for point-of-care clinical decision making. This literature review was conducted to describe: (a) characteristics of CC, (b) consistency of CC definition, and (c) attitudes about CC among health professionals using this information source for point-of-care clinical decision making. This literature review includes research conducted from 1980 to 2016 concerning CC among health professionals. Data bases including PubMed, CINAHL, Google Scholar, Web of Science, PsychInfo, Business Source, and Cochrane Library were searched resulting in 15 articles for inclusion in this review. Fink's recommendations were used to assess study bias risk. Only studies including physician samples met inclusion criteria. These studies, primarily from consultant perspectives, were conducted in varied settings and were considered highly valuable. CC s averaging 9.4 min were defined as informal advice and information-seeking without formal consultation. A paucity of information exists concerning CC use among nurse practitioners. An assessment of CC processes among nurse practitioners is indicated to inform education and practice for research dissemination ultimately promoting patient care quality. ©2017 American Association of Nurse Practitioners.

Learning to leverage existing information systems: Part 1. Principles.

PubMed

Neil, Nancy; Nerenz, David

2003-10-01

The success of performance improvement efforts depends on effective measurement and feedback regarding clinical processes and outcomes. Yet most health care organizations have fragmented rather than integrated data systems. Methods and practical guidance are provided for leveraging available information sources to obtain and create valid performance improvement-related information for use by clinicians and administrators. At Virginia Mason Health System (VMHS; Seattle), a vertically integrated hospital and multispecialty group practice, patient records are paper based and are supplemented with electronic reporting for laboratory and radiology services. Despite growth in the resources and interest devoted to organization-wide performance measurement, quality improvement, and evidence-based tools, VMHS's information systems consist of largely stand-alone, legacy systems organized around the ability to retrieve information on patients, one at a time. By 2002, without any investment in technology, VMHS had developed standardized, clinic-wide key indicators of performance updated and reported regularly at the patient, provider, site, and organizational levels. On the basis of VHMS's experience, principles can be suggested to guide other organizations to explore solutions using their own information systems: for example, start simply, but start; identify information needs; tap multiple data streams; and improve incrementally.

Health-care district management information system plan: Review of operations analysis activities during calendar year 1975 and plan for continued research and analysis activities

NASA Technical Reports Server (NTRS)

Nielson, G. J.; Stevenson, W. G.

1976-01-01

Operations research activities developed to identify the information required to manage both the efficiency and effectiveness of the Veterans Administration (VA) health services as these services relate to individual patient care are reported. The clinical concerns and management functions that determine this information requirement are discussed conceptually. Investigations of existing VA data for useful management information are recorded, and a diagnostic index is provided. The age-specific characteristics of diseases and lengths of stay are explored, and recommendations for future analysis activities are articulated. The effect of the introduction of new technology to health care is also discussed.

Building an Ontology for Identity Resolution in Healthcare and Public Health.

PubMed

Duncan, Jeffrey; Eilbeck, Karen; Narus, Scott P; Clyde, Stephen; Thornton, Sidney; Staes, Catherine

2015-01-01

Integration of disparate information from electronic health records, clinical data warehouses, birth certificate registries and other public health information systems offers great potential for clinical care, public health practice, and research. Such integration, however, depends on correctly matching patient-specific records using demographic identifiers. Without standards for these identifiers, record linkage is complicated by issues of structural and semantic heterogeneity. Our objectives were to develop and validate an ontology to: 1) identify components of identity and events subsequent to birth that result in creation, change, or sharing of identity information; 2) develop an ontology to facilitate data integration from multiple healthcare and public health sources; and 3) validate the ontology's ability to model identity-changing events over time. We interviewed domain experts in area hospitals and public health programs and developed process models describing the creation and transmission of identity information among various organizations for activities subsequent to a birth event. We searched for existing relevant ontologies. We validated the content of our ontology with simulated identity information conforming to scenarios identified in our process models. We chose the Simple Event Model (SEM) to describe events in early childhood and integrated the Clinical Element Model (CEM) for demographic information. We demonstrated the ability of the combined SEM-CEM ontology to model identity events over time. The use of an ontology can overcome issues of semantic and syntactic heterogeneity to facilitate record linkage.

Perceived need for information among patients with a haematological malignancy: associations with information satisfaction and treatment decision-making preferences.

PubMed

Rood, Janneke A J; van Zuuren, Florence J; Stam, Frank; van der Ploeg, Tjeerd; Eeltink, Corien; Verdonck-de Leeuw, Irma M; Huijgens, Peter C

2015-06-01

For patients with haematological malignancies, information on disease, prognosis, treatment and impact on quality of life is of the utmost importance. To gain insight into the perceived need for information in relation to sociodemographic and clinical parameters, comorbidity, quality of life (QoL) and information satisfaction, we compiled a questionnaire based on existing validated questionnaires. A total of 458 patients diagnosed with a haematological malignancy participated. The perceived need for information was moderate to high (40-70%). Multivariate regression analyses showed that a higher need for information was related to younger age, worse QoL, being member of a patient society and moderate comorbidity. The need for disease and treatment-related information was higher than the need for psychosocial information. A higher need for disease and treatment-related information was associated to being diagnosed with multiple myeloma. A higher need for psychosocial information was related to a lower educational level. The information provision could be improved according to 41% of the patients. Higher satisfaction with provided information was associated with better QoL. Most patients (62%) reported that they wanted to be fully informed about their illness and actively involved in treatment decision-making. The results contribute to improving patient-tailored information provision and shared decision-making in clinical practice. Copyright © 2014 John Wiley & Sons, Ltd.

AMCP Partnership Forum: Enabling the Exchange of Clinical and Economic Information Pre-FDA Approval.

PubMed

2017-01-01

Current federal laws and FDA regulations have significantly restricted the sharing of clinical and health economic information on biopharmaceuticals that have yet to receive FDA approval. Over the past several years, organizations that make health care coverage decisions, including those that set copayments, premiums, and formulary placement, have expressed a need for receiving this information before approval, as long as appropriate safeguards exist to prevent this information from reaching unintended entities. Population health decision makers have indicated that waiting until FDA approval is often too late for the critical planning, budgeting, and forecasting associated with health benefit design, especially given the recent influx of high-cost medications and scrutiny for better evaluation and preparation. Recognizing that securities laws restrict the disclosure of nonpublic information and may need to be amended, permissible early dissemination would allow population health decision makers to incorporate clinical and economic information for pipeline drugs or expanded indications into financial forecasting for the following year's plan. Access to this information is needed 12-18 months before FDA approval when organizations are deciding on terms of coverage and budgetary assumptions for state health insurance rate filings, Medicare and Medicaid bids, contracts with health care purchasers, and other financial arrangements. The need for exchange of clinical economic information before FDA approval was first introduced at a previous Academy of Managed Care (AMCP) forum in March 2016, which addressed section 114 of the Food and Drug Administration Modernization Act and the communication of such information after FDA approval. To address preapproval information specifically, AMCP convened a Partnership Forum on September 13-14, 2016. This forum included a diverse group of stakeholders representing managed care, the biopharmaceutical industry, providers, patients, health economists, academia, and others. The multistakeholder group represented the key professionals and entities affected by the federal laws and FDA regulations that restrict the sharing of preapproval information and the collective credibility necessary for proposing this new communication process. Forum participants primarily focused on 6 items of discussion: (1) creating and defining new terms for how biopharmaceutical manufacturers may provide clinical and economic information 12-18 months before FDA approval; (2) defining the clinical and scientific standards that this information should meet; (3) determining which entities should have access to this information and the value to each; (4) the format and process by which this information should be disseminated; (5) developing definitions for existing terms referenced in current laws, regulations, or guidance documents that would need to be modernized to align with the identified new term; and (6) providing safeguards to prevent this information from reaching unintended entities. Forum participants selected "preapproval information exchange" (PIE) as the correct term to describe this proposed new communication process and to be inclusive of data from pivotal phase III clinical trials, pharmaco-economic data, and patient-reported outcomes, as well as other relevant items, including anticipated indications, place in therapy, and routes of administration. Stakeholders agreed that PIE should be truthful, non-misleading, and include a broad range of information to meet the needs of population health decision makers and health care technology evolution. Recipients of PIE would be limited to population health decision makers who need this information for coverage decisions. The format and process for PIE disseminated should allow for a bidirectional exchange between manufacturers and population health decision makers but should not be proscribed in legislation. Furthermore, new legislative language may be beneficial, since PIE is a novel category of information. New legislation could provide a safe harbor and clarity that PIE does not violate preapproval promotion and the Federal Food, Drug, and Cosmetic Act and its regulations. The AMCP Partnership Forum on Enabling the Exchange of Clinical and Economic Data Pre-FDA Approval and the development of this proceedings document were supported by AbbVie, Boehringer Ingelheim Pharmaceuticals, Bristol-Myers Squibb, Celgene, Intarcia Therapeutics, Eli Lilly and Company, GlaxoSmithKline, Merck, National Pharmaceutical Council, Novo Nordisk, Pfizer, Pharmaceutical Research and Manufacturers of America, Precision for Value, Sanofi, Takeda Pharmaceuticals, U.S.A., and Xcenda. All sponsors participated in the forum and in revising and approving the manuscript.

Tools in a clinical information system supporting clinical trials at a Swiss University Hospital.

PubMed

Weisskopf, Michael; Bucklar, Guido; Blaser, Jürg

2014-12-01

Issues concerning inadequate source data of clinical trials rank second in the most common findings by regulatory authorities. The increasing use of electronic clinical information systems by healthcare providers offers an opportunity to facilitate and improve the conduct of clinical trials and the source documentation. We report on a number of tools implemented into the clinical information system of a university hospital to support clinical research. In 2011/2012, a set of tools was developed in the clinical information system of the University Hospital Zurich to support clinical research, including (1) a trial registry for documenting metadata on the clinical trials conducted at the hospital, (2) a patient-trial-assignment-tool to tag patients in the electronic medical charts as participants of specific trials, (3) medical record templates for the documentation of study visits and trial-related procedures, (4) online queries on trials and trial participants, (5) access to the electronic medical records for clinical monitors, (6) an alerting tool to notify of hospital admissions of trial participants, (7) queries to identify potentially eligible patients in the planning phase as trial feasibility checks and during the trial as recruitment support, and (8) order sets to facilitate the complete and accurate performance of study visit procedures. The number of approximately 100 new registrations per year in the voluntary trial registry in the clinical information system now matches the numbers of the existing mandatory trial registry of the hospital. Likewise, the yearly numbers of patients tagged as trial participants as well as the use of the standardized trial record templates increased to 2408 documented trial enrolments and 190 reports generated/month in the year 2013. Accounts for 32 clinical monitors have been established in the first 2 years monitoring a total of 49 trials in 16 clinical departments. A total of 15 months after adding the optional feature of hospital admission alerts of trial participants, 107 running trials have activated this option, including 48 out of 97 studies (49.5%) registered in the year 2013, generating approximately 85 alerts per month. The popularity of the presented tools in the clinical information system illustrates their potential to facilitate the conduct of clinical trials. The tools also allow for enhanced transparency on trials conducted at the hospital. Future studies on monitoring and inspection findings will have to evaluate their impact on quality and safety. © The Author(s) 2014.

PREDICTORS OF PHYSICIAN REFERRAL FOR PATIENT RECRUITMENT TO ALZHEIMER DISEASE CLINICAL TRIALS

PubMed Central

Galvin, James E.; Meuser, Thomas M.; Boise, Linda; Connell, Cathleen M

2009-01-01

Background Inadequate recruitment into Alzheimer disease (AD) clinical trials is an important threat to the validity and generalizability of the studies. The majority of dementia patients are first evaluated by community-based physicians; however, physician perceptions of clinical research are largely unknown. Methods A survey was distributed to 3,123 physicians in three states; 370 were returned. Survey items assessed attitudes, perceived benefits of and barriers to referral to clinical research and physicians use of the internet for medical information. Results The mean age of the respondents was 50.6 ± 10.8y; 70% were male, 78% Caucasian, 61% were primary care providers; 63% used the internet ≥3 times/week. No demographic or medical specialty differences existed between those who were likely (n=193) and unlikely (n=162) to refer patients to clinical trials. Differences were discovered in perceived benefits reported by physicians who were more likely to refer, while differences in perceived barriers existed in primary care compared with specialists. Referral to clinical trials is predicted by close proximity to a research center (OR:4.0,95%CI:1.1–15.6) and availability of internet information regarding diagnostic evaluation (OR:2.3,95%CI:1.1–4.7). Primary barriers included concerns about exposure of patients to uncomfortable procedures (OR:4.7,95%CI:1.2–18.7) and lack of time to discuss research participation (OR:6.8,95%CI:1.4–32.3). Conclusions Proximity to a research center and availability of diagnostic clinical tools are strong predictors of clinical trial referral. Concern over risks to patients and lack of time are strong barriers. These results suggest that dementia outreach education targeted to physicians should emphasize the importance of clinical trials with a focus on discussing research participation in a time-efficient manner and increasing awareness of risk reduction and the safety of research protocols. Providing easy access to up-to-date, user-friendly educational materials on dementia diagnosis and research via the internet are likely to improve referrals of patients to AD clinical trials from community physicians. PMID:19561438

Predictors of physician referral for patient recruitment to Alzheimer disease clinical trials.

PubMed

Galvin, James E; Meuser, Thomas M; Boise, Linda; Connell, Cathleen M

2009-01-01

Inadequate recruitment into Alzheimer disease clinical trials is an important threat to the validity and generalizability of the studies. The majority of dementia patients are first evaluated by community-based physicians; however, physician perceptions of clinical research are largely unknown. A survey was distributed to 3123 physicians in 3 states; 370 were returned. Survey items assessed attitudes, perceived benefits of and barriers to referral to clinical research, and physicians use of the internet for medical information. The mean age of the respondents was 50.6+/-10.8 years; 70% were male, 78% white, 61% were primary care providers; 63% used the internet > or =3 times/week. No demographic or medical specialty differences existed between those who were likely (n=193) and unlikely (n=162) to refer patients to clinical trials. Differences were discovered in perceived benefits reported by physicians who were more likely to refer, whereas differences in perceived barriers existed in primary care compared with specialists. Referral to clinical trials is predicted by close proximity to a research center [odds ratio (OR): 4.0; 95% confidence interval (CI), 1.1-15.6] and availability of internet information regarding diagnostic evaluation (OR: 2.3; 95% CI, 1.1-4.7). Primary barriers included concerns about exposure of patients to uncomfortable procedures (OR: 4.7; 95% CI, 1.2-18.7) and lack of time to discuss research participation (OR: 6.8; 95% CI, 1.4-32.3). Proximity to a research center and availability of diagnostic clinical tools are strong predictors of clinical trial referral. Concern over risks to patients and lack of time are strong barriers. These results suggest that dementia outreach education targeted to physicians should emphasize the importance of clinical trials with a focus on discussing research participation in a time-efficient manner and increasing awareness of risk reduction and the safety of research protocols. Providing easy access to up-to-date, user-friendly educational materials on dementia diagnosis and research via the internet are likely to improve referrals of patients to Alzheimer disease clinical trials from community physicians.

The challenges of emerging HISs in bridging the communication gaps among physicians and nurses in China: an interview study.

PubMed

Wen, Dong; Zhang, Xingting; Wan, Jie; Fu, Jing; Lei, Jianbo

2017-06-12

To explore the current situation, existing problems and possible causes of said problems with regards to physician-nurse communication under an environment of increasingly widespread usage of Hospital Information Systems and to seek out new potential strategies in information technology to improve physician-nurse communication. Semi-structured interviews were conducted with 20 physicians and nurses in five leading tertiary grade A hospitals in Beijing, China (two physicians and two nurses in each hospital). The interviews primarily included three aspects comprising the current situation and problems of clinical physician-nurse communication, the application and problems of Hospital Information Systems, and assessments on the improvement of physician-nurse communication through the usage of information technology. The inductive conventional content analysis approach was employed. (1) Physicians and nurses are generally quite satisfied with the current situation of communication. However, the information needs of nurses are prone to being overlooked, and the communication methods are primarily synchronous communication such as face-to-face and phone communication. (2) Hospital Information Systems are gradually being used for physician-nurse communication; in the meantime, physicians and nurses face challenges with regards to the improvement of physician-nurse communication through the usage of information technology. Challenges differ based on the different stages of using the system and the different levels of understanding of physicians and nurses towards information technology. Their dissatisfaction mainly deals with system errors and the level of convenience in using the system. (3) In-depth interviews found that in general, physicians and nurses have a strong interest and trust in improving physician-nurse communication through appropriate information technology, e.g., communication methods such as information reminders for physicians and nurses through mobile devices and instant voice-to-text conversion methods. There are objective risks in physician-nurse communication in Chinese hospitals, and clinical information systems lack solutions to the relevant problems. Developing a dedicated, mobile, quick and convenient module for physician-nurse communication within existing hospital information system with automatic reminders for important information that segregates between synchronous and asynchronous communication according to the different types of information could help improve physician-nurse communication.

A review of clinical decision making: models and current research.

PubMed

Banning, Maggi

2008-01-01

The aim of this paper was to review the current literature clinical decision-making models and the educational application of models to clinical practice. This was achieved by exploring the function and related research of the three available models of clinical decision making: information-processing model, the intuitive-humanist model and the clinical decision-making model. Clinical decision making is a unique process that involves the interplay between knowledge of pre-existing pathological conditions, explicit patient information, nursing care and experiential learning. Historically, two models of clinical decision making are recognized from the literature; the information-processing model and the intuitive-humanist model. The usefulness and application of both models has been examined in relation the provision of nursing care and care related outcomes. More recently a third model of clinical decision making has been proposed. This new multidimensional model contains elements of the information-processing model but also examines patient specific elements that are necessary for cue and pattern recognition. Literature review. Evaluation of the literature generated from MEDLINE, CINAHL, OVID, PUBMED and EBESCO systems and the Internet from 1980 to November 2005. The characteristics of the three models of decision making were identified and the related research discussed. Three approaches to clinical decision making were identified, each having its own attributes and uses. The most recent addition to the clinical decision making is a theoretical, multidimensional model which was developed through an evaluation of current literature and the assessment of a limited number of research studies that focused on the clinical decision-making skills of inexperienced nurses in pseudoclinical settings. The components of this model and the relative merits to clinical practice are discussed. It is proposed that clinical decision making improves as the nurse gains experience of nursing patients within a specific speciality and with experience, nurses gain a sense of saliency in relation to decision making. Experienced nurses may use all three forms of clinical decision making both independently and concurrently to solve nursing-related problems. It is suggested that O'Neill's clinical decision-making model could be tested by educators and experienced nurses to assess the efficacy of this hybrid approach to decision making.

Exploring Health Information Exchange Implementation Using Qualitative Assessments of Nursing Home Leaders

PubMed Central

Alexander, Gregory L.; Popejoy, Lori; Lyons, Vanessa; Shumate, Sue; Mueller, Jessica; Galambos, Colleen; Vogelsmeier, Amy; Rantz, Marilyn; Flesner, Marcia

2016-01-01

Objectives Limited research exists on nursing home information technologies, such as health information exchange (HIE) systems. Capturing the experiences of early HIE adopters provides vital information about how these systems are used. In this study, we conduct a secondary analysis of qualitative data captured during interviews with 15 nursing home leaders representing 14 nursing homes in the midwestern United States that are part of the Missouri Quality Improvement Initiative (MOQI) national demonstration project. Methods The interviews were conducted as part of an external evaluation of the HIE vendor contracting with the MOQI initiative with the purpose of understanding the challenges and successes of HIE implementation, with a particular focus on Direct HIE services. Results Emerging themes included (1) incorporating HIE into existing work processes, (2) participation inside and outside the facility, (3) appropriate training and retraining, (4) getting others to use the HIE, (5) getting the HIE operational, and 6) putting policies for technology into place. Discussion Three essential areas should be considered for nursing homes considering HIE adoption: readiness to adopt technology, availability of technology resources, and matching of new clinical workflows. PMID:27843423

Improving information technology adoption and implementation through the identification of appropriate benefits: creating IMPROVE-IT.

PubMed

Leonard, Kevin J; Sittig, Dean F

2007-05-04

This paper describes the objectives of a collaborative initiative that attempts to provide the evidence that increased information technology (IT) capabilities, availability, and use lead directly to improved clinical quality, safety, and effectiveness within the inpatient hospital setting. This collaborative network has defined specific measurement indicators in an attempt to examine the existence, timing, and level of improvements in health outcomes that can be derived from IT investment. These indicators are in three areas: (1) IT costs (which includes both initial and ongoing investment), (2) IT infusion (ie, system availability, adoption, and deployment), and (3) health performance (eg, clinical efficacy, efficiency, quality, and effectiveness). Herein, we outline the theoretical framework, the methodology employed to create the metrics, and the benefits that can be obtained.

Shared decision making in mental health: the importance for current clinical practice.

PubMed

Alguera-Lara, Victoria; Dowsey, Michelle M; Ride, Jemimah; Kinder, Skye; Castle, David

2017-12-01

We reviewed the literature on shared decision making (regarding treatments in psychiatry), with a view to informing our understanding of the decision making process and the barriers that exist in clinical practice. Narrative review of published English-language articles. After culling, 18 relevant articles were included. Themes identified included models of psychiatric care, benefits for patients, and barriers. There is a paucity of published studies specifically related to antipsychotic medications. Shared decision making is a central part of the recovery paradigm and is of increasing importance in mental health service delivery. The field needs to better understand the basis on which decisions are reached regarding psychiatric treatments. Discrete choice experiments might be useful to inform the development of tools to assist shared decision making in psychiatry.

Life-Work Balance and the Effects on Retention in the Navy Nurse Corps

DTIC Science & Technology

2017-03-01

information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering...Flexible Time Management Initiatives ............................ 74 3. Reevaluation of Non-Clinical Issues to Increase LWB...interference with family xv ACKNOWLEDGMENTS There are so many people who gave me their time , attention, and unconditional support. If I

Sex Differences in Physician Salary in US Public Medical Schools.

PubMed

Jena, Anupam B; Olenski, Andrew R; Blumenthal, Daniel M

2016-09-01

Limited evidence exists on salary differences between male and female academic physicians, largely owing to difficulty obtaining data on salary and factors influencing salary. Existing studies have been limited by reliance on survey-based approaches to measuring sex differences in earnings, lack of contemporary data, small sample sizes, or limited geographic representation. To analyze sex differences in earnings among US academic physicians. Freedom of Information laws mandate release of salary information of public university employees in several states. In 12 states with salary information published online, salary data were extracted on 10 241 academic physicians at 24 public medical schools. These data were linked to a unique physician database with detailed information on sex, age, years of experience, faculty rank, specialty, scientific authorship, National Institutes of Health funding, clinical trial participation, and Medicare reimbursements (proxy for clinical revenue). Sex differences in salary were estimated after adjusting for these factors. Physician sex. Annual salary. Among 10 241 physicians, female physicians (n = 3549) had lower mean (SD) unadjusted salaries than male physicians ($206 641 [$88 238] vs $257 957 [$137 202]; absolute difference, $51 315 [95% CI, $46 330-$56 301]). Sex differences persisted after multivariable adjustment ($227 783 [95% CI, $224 117-$231 448] vs $247 661 [95% CI, $245 065-$250 258] with an absolute difference of $19 878 [95% CI, $15 261-$24 495]). Sex differences in salary varied across specialties, institutions, and faculty ranks. For example, adjusted salaries of female full professors ($250 971 [95% CI, $242 307-$259 635]) were comparable to those of male associate professors ($247 212 [95% CI, $241 850-$252 575]). Among specialties, adjusted salaries were highest in orthopedic surgery ($358 093 [95% CI, $344 354-$371 831]), surgical subspecialties ($318 760 [95% CI, $311 030-$326 491]), and general surgery ($302 666 [95% CI, $294 060-$311 272]) and lowest in infectious disease, family medicine, and neurology (mean income, <$200 000). Years of experience, total publications, clinical trial participation, and Medicare payments were positively associated with salary. Among physicians with faculty appointments at 24 US public medical schools, significant sex differences in salary exist even after accounting for age, experience, specialty, faculty rank, and measures of research productivity and clinical revenue.

Confidentiality, electronic health records, and the clinician.

PubMed

Graves, Stuart

2013-01-01

The advent of electronic health records (EHRs) to improve access and enable research in the everyday clinical world has simultaneously made medical information much more vulnerable to illicit, non-beneficent uses. This wealth of identified, aggregated data has and will attract attacks by domestic governments for surveillance and protection, foreign governments for espionage and sabotage, organized crime for illegal profits, and large corporations for "legal" profits. Against these powers with almost unlimited resources no security scheme is likely to prevail, so the design of such systems should include appropriate security measures. Unlike paper records, where the person maintaining and controlling the existence of the records also controls access to them, these two functions can be separated for EHRs. By giving physical control over access to individual records to their individual owners, the aggregate is dismantled, thereby protecting the nation's identified health information from large-scale data mining or tampering. Control over the existence and integrity of all the records--yet without the ability to examine their contents--would be left with larger institutions. This article discusses the implications of all of the above for the role of the clinician in assuring confidentiality (a cornerstone of clinical practice), for research and everyday practice, and for current security designs.

Incorporating A Structured Writing Process into Existing CLS Curricula.

PubMed

Honeycutt, Karen; Latshaw, Sandra

2014-01-01

Good communication and critical thinking are essential skills for all successful professionals, including Clinical Laboratory Science/Medical Laboratory Science (CLS/MLS) practitioners. Professional programs can incorporate writing assignments into their curricula to improve student written communication and critical thinking skills. Clearly defined, scenario-focused writing assignments provide student practice in clearly articulating responses to proposed problems or situations, researching and utilizing informational resources, and applying and synthesizing relevant information. Assessment rubrics, structured feedback, and revision writing methodologies help guide students through the writing process. This article describes how a CLS Program in a public academic medical center, located in the central United States (US) serving five centrally-located US states has incorporated writing intensive assignments into an existing 11-month academic year using formal, informal and reflective writing to improve student written communication and critical thinking skills. Faculty members and employers of graduates assert that incorporating writing intensive requirements have better prepared students for their professional role to effectively communicate and think critically.

Expert searcher, teacher, content manager, and patient advocate: an exploratory study of clinical librarian roles.

PubMed

Tan, Maria C; Maggio, Lauren A

2013-01-01

The research explored the roles of practicing clinical librarians embedded in a patient care team. Six clinical librarians from Canada and one from the United States were interviewed to elicit detailed descriptions of their clinical roles and responsibilities and the context in which these were performed. Participants were embedded in a wide range of clinical service areas, working with a diverse complement of health professionals. As clinical librarians, participants wore many hats, including expert searcher, teacher, content manager, and patient advocate. Unique aspects of how these roles played out included a sense of urgency surrounding searching activities, the broad dissemination of responses to clinical questions, and leverage of the roles of expert searcher, teacher, and content manager to advocate for patients. Detailed role descriptions of clinical librarians embedded in patient care teams suggest possible new practices for existing clinical librarians, provide direction for training new librarians working in patient care environments, and raise awareness of the clinical librarian specialty among current and budding health information professionals.

High-Surety Telemedicine in a Distributed, 'Plug-andPlan' Environment

DOE Office of Scientific and Technical Information (OSTI.GOV)

Craft, Richard L.; Funkhouser, Donald R.; Gallagher, Linda K.

1999-05-17

Commercial telemedicine systems are increasingly functional, incorporating video-conferencing capabilities, diagnostic peripherals, medication reminders, and patient education services. However, these systems (1) rarely utilize information architectures which allow them to be easily integrated with existing health information networks and (2) do not always protect patient confidentiality with adequate security mechanisms. Using object-oriented methods and software wrappers, we illustrate the transformation of an existing stand-alone telemedicine system into `plug-and-play' components that function in a distributed medical information environment. We show, through the use of open standards and published component interfaces, that commercial telemedicine offerings which were once incompatible with electronic patient recordmore » systems can now share relevant data with clinical information repositories while at the same time hiding the proprietary implementations of the respective systems. Additionally, we illustrate how leading-edge technology can secure this distributed telemedicine environment, maintaining patient confidentiality and the integrity of the associated electronic medical data. Information surety technology also encourages the development of telemedicine systems that have both read and write access to electronic medical records containing patient-identifiable information. The win-win approach to telemedicine information system development preserves investments in legacy software and hardware while promoting security and interoperability in a distributed environment.« less

Integrating all medical records to an enterprise viewer.

PubMed

Li, Haomin; Duan, Huilong; Lu, Xudong; Zhao, Chenhui; An, Jiye

2005-01-01

The idea behind hospital information systems is to make all of a patient's medical reports, lab results, and images electronically available to clinicians, instantaneously, wherever they are. But the higgledy-piggledy evolution of most hospital computer systems makes it hard to integrate all these clinical records. Although several integration standards had been proposed to meet this challenger, none of them is fit to Chinese hospitals. In this paper, we introduce our work of implementing a three-tiered architecture enterprise viewer in Huzhou Central Hospital to integration all existing medical information systems using limited resource.

Quality: performance improvement, teamwork, information technology and protocols.

PubMed

Coleman, Nana E; Pon, Steven

2013-04-01

Using the Institute of Medicine framework that outlines the domains of quality, this article considers four key aspects of health care delivery which have the potential to significantly affect the quality of health care within the pediatric intensive care unit. The discussion covers: performance improvement and how existing methods for reporting, review, and analysis of medical error relate to patient care; team composition and workflow; and the impact of information technologies on clinical practice. Also considered is how protocol-driven and standardized practice affects both patients and the fiscal interests of the health care system.

Automating concept identification in the electronic medical record: an experiment in extracting dosage information.

PubMed Central

Evans, D. A.; Brownlow, N. D.; Hersh, W. R.; Campbell, E. M.

1996-01-01

We discuss the development and evaluation of an automated procedure for extracting drug-dosage information from clinical narratives. The process was developed rapidly using existing technology and resources, including categories of terms from UMLS96. Evaluations over a large training and smaller test set of medical records demonstrate an approximately 80% rate of exact and partial matches' on target phrases, with few false positives and a modest rate of false negatives. The results suggest a strategy for automating general concept identification in electronic medical records. PMID:8947694

Managing data quality in an existing medical data warehouse using business intelligence technologies.

PubMed

Eaton, Scott; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti

2008-11-06

The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) is a comprehensive data warehousing facility that provides providing data integration, management, mining, training, and development services to a diversity of customers across the clinical, education, and research sectors of the OSUMC. Providing accurate and complete data is a must for these purposes. In order to monitor the data quality of targeted data sets, an online scorecard has been developed to allow visualization of the critical measures of data quality in the Information Warehouse.

Planning for successful outcomes in the new millennium.

PubMed

Matthews, P

2000-02-01

The complexity of the health care environment will increase in the next millennium. Organizations must adopt an approach of selecting outcomes management solutions that are focused on data capture, analysis, and comparative reviews and reporting. They must decisively and creatively implement, in a phased approach, integrated solutions from existing robust systems, while considering future systems targeted for implementation. Outcomes management solutions must be integrated with the organization's information systems strategic plan. The successful organization must be able to turn business-critical data into information that supports both business and clinical decision-making activities. In short, health care organizations will have to become information-driven.

Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial.

PubMed

Gimbel, Ronald W; Pirrallo, Ronald G; Lowe, Steven C; Wright, David W; Zhang, Lu; Woo, Min-Jae; Fontelo, Paul; Liu, Fang; Connor, Zachary

2018-03-12

The frequency of head computed tomography (CT) imaging for mild head trauma patients has raised safety and cost concerns. Validated clinical decision rules exist in the published literature and on-line sources to guide medical image ordering but are often not used by emergency department (ED) clinicians. Using simulation, we explored whether the presentation of a clinical decision rule (i.e. Canadian CT Head Rule - CCHR), findings from malpractice cases related to clinicians not ordering CT imaging in mild head trauma cases, and estimated patient out-of-pocket cost might influence clinician brain CT ordering. Understanding what type and how information may influence clinical decision making in the ordering advanced medical imaging is important in shaping the optimal design and implementation of related clinical decision support systems. Multi-center, double-blinded simulation-based randomized controlled trial. Following standardized clinical vignette presentation, clinicians made an initial imaging decision for the patient. This was followed by additional information on decision support rules, malpractice outcome review, and patient cost; each with opportunity to modify their initial order. The malpractice and cost information differed by assigned group to test the any temporal relationship. The simulation closed with a second vignette and an imaging decision. One hundred sixteen of the 167 participants (66.9%) initially ordered a brain CT scan. After CCHR presentation, the number of clinicians ordering a CT dropped to 76 (45.8%), representing a 21.1% reduction in CT ordering (P = 0.002). This reduction in CT ordering was maintained, in comparison to initial imaging orders, when presented with malpractice review information (p = 0.002) and patient cost information (p = 0.002). About 57% of clinicians changed their order during study, while 43% never modified their imaging order. This study suggests that ED clinician brain CT imaging decisions may be influenced by clinical decision support rules, patient out-of-pocket cost information and findings from malpractice case review. NCT03449862 , February 27, 2018, Retrospectively registered.

Development of a consensus core dataset in juvenile dermatomyositis for clinical use to inform research

PubMed Central

McCann, Liza J; Pilkington, Clarissa A; Huber, Adam M; Ravelli, Angelo; Appelbe, Duncan; Kirkham, Jamie J; Williamson, Paula R; Aggarwal, Amita; Christopher-Stine, Lisa; Constantin, Tamas; Feldman, Brian M; Lundberg, Ingrid; Maillard, Sue; Mathiesen, Pernille; Murphy, Ruth; Pachman, Lauren M; Reed, Ann M; Rider, Lisa G; van Royen-Kerkof, Annet; Russo, Ricardo; Spinty, Stefan; Wedderburn, Lucy R

2018-01-01

Objectives This study aimed to develop consensus on an internationally agreed dataset for juvenile dermatomyositis (JDM), designed for clinical use, to enhance collaborative research and allow integration of data between centres. Methods A prototype dataset was developed through a formal process that included analysing items within existing databases of patients with idiopathic inflammatory myopathies. This template was used to aid a structured multistage consensus process. Exploiting Delphi methodology, two web-based questionnaires were distributed to healthcare professionals caring for patients with JDM identified through email distribution lists of international paediatric rheumatology and myositis research groups. A separate questionnaire was sent to parents of children with JDM and patients with JDM, identified through established research networks and patient support groups. The results of these parallel processes informed a face-to-face nominal group consensus meeting of international myositis experts, tasked with defining the content of the dataset. This developed dataset was tested in routine clinical practice before review and finalisation. Results A dataset containing 123 items was formulated with an accompanying glossary. Demographic and diagnostic data are contained within form A collected at baseline visit only, disease activity measures are included within form B collected at every visit and disease damage items within form C collected at baseline and annual visits thereafter. Conclusions Through a robust international process, a consensus dataset for JDM has been formulated that can capture disease activity and damage over time. This dataset can be incorporated into national and international collaborative efforts, including existing clinical research databases. PMID:29084729

Semantic biomedical resource discovery: a Natural Language Processing framework.

PubMed

Sfakianaki, Pepi; Koumakis, Lefteris; Sfakianakis, Stelios; Iatraki, Galatia; Zacharioudakis, Giorgos; Graf, Norbert; Marias, Kostas; Tsiknakis, Manolis

2015-09-30

A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main drawback of such repositories is the difficulty in locating appropriate resources for a clinical or biomedical decision task, especially for non-Information Technology expert users. In parallel, although NLP research in the clinical domain has been active since the 1960s, progress in the development of NLP applications has been slow and lags behind progress in the general NLP domain. The aim of the present study is to investigate the use of semantics for biomedical resources annotation with domain specific ontologies and exploit Natural Language Processing methods in empowering the non-Information Technology expert users to efficiently search for biomedical resources using natural language. A Natural Language Processing engine which can "translate" free text into targeted queries, automatically transforming a clinical research question into a request description that contains only terms of ontologies, has been implemented. The implementation is based on information extraction techniques for text in natural language, guided by integrated ontologies. Furthermore, knowledge from robust text mining methods has been incorporated to map descriptions into suitable domain ontologies in order to ensure that the biomedical resources descriptions are domain oriented and enhance the accuracy of services discovery. The framework is freely available as a web application at ( http://calchas.ics.forth.gr/ ). For our experiments, a range of clinical questions were established based on descriptions of clinical trials from the ClinicalTrials.gov registry as well as recommendations from clinicians. Domain experts manually identified the available tools in a tools repository which are suitable for addressing the clinical questions at hand, either individually or as a set of tools forming a computational pipeline. The results were compared with those obtained from an automated discovery of candidate biomedical tools. For the evaluation of the results, precision and recall measurements were used. Our results indicate that the proposed framework has a high precision and low recall, implying that the system returns essentially more relevant results than irrelevant. There are adequate biomedical ontologies already available, sufficiency of existing NLP tools and quality of biomedical annotation systems for the implementation of a biomedical resources discovery framework, based on the semantic annotation of resources and the use on NLP techniques. The results of the present study demonstrate the clinical utility of the application of the proposed framework which aims to bridge the gap between clinical question in natural language and efficient dynamic biomedical resources discovery.

Use of mobile devices in community health care: barriers and solutions to implementation.

PubMed

Turner, Christopher

2016-02-01

Mobile devices allow clinicians to access electronic clinical systems away from traditional base locations. They have contributed to increased productivity and efficiency, and clinical staff also cite benefits to patient care. A selection of NHS trusts have participated in a national pilot to explore the benefits and drawbacks of this technology. Clinical engagement with frontline staff is essential to ensure the staff feel valued, listened to, and fully involved to ensure any change to existing practice is successful. Moreover, the training needs of the workforce require careful consideration. The provision of information technology (IT) support services is fundamental to ensure that staff receive the necessary assistance with any functionality issues they may experience with mobile devices to minimise the effect on clinical practice. Variability in internet connectivity may present as a challenge to clinical staff, and the benefits of complimentary offline working solutions should be considered. Barriers to the successful use of mobile devices should be reported as this may have a negative clinical effect on the safe delivery of patient care. Clinical staff need to be mindful of their obligations in relation to information governance, and should appreciate that the same consideration needs to be given to both paper and electronic records.

Development of a technical assistance framework for building organizational capacity of health programs in resource-limited settings.

PubMed

Reyes, E Michael; Sharma, Anjali; Thomas, Kate K; Kuehn, Chuck; Morales, José Rafael

2014-09-17

Little information exists on the technical assistance needs of local indigenous organizations charged with managing HIV care and treatment programs funded by the US President's Emergency Plan for AIDS Relief (PEPFAR). This paper describes the methods used to adapt the Primary Care Assessment Tool (PCAT) framework, which has successfully strengthened HIV primary care services in the US, into one that could strengthen the capacity of local partners to deliver priority health programs in resource-constrained settings by identifying their specific technical assistance needs. Qualitative methods and inductive reasoning approaches were used to conceptualize and adapt the new Clinical Assessment for Systems Strengthening (ClASS) framework. Stakeholder interviews, comparisons of existing assessment tools, and a pilot test helped determine the overall ClASS framework for use in low-resource settings. The framework was further refined one year post-ClASS implementation. Stakeholder interviews, assessment of existing tools, a pilot process and the one-year post- implementation assessment informed the adaptation of the ClASS framework for assessing and strengthening technical and managerial capacities of health programs at three levels: international partner, local indigenous partner, and local partner treatment facility. The PCAT focus on organizational strengths and systems strengthening was retained and implemented in the ClASS framework and approach. A modular format was chosen to allow the use of administrative, fiscal and clinical modules in any combination and to insert new modules as needed by programs. The pilot led to refined pre-visit planning, informed review team composition, increased visit duration, and restructured modules. A web-based toolkit was developed to capture three years of experiential learning; this kit can also be used for independent implementation of the ClASS framework. A systematic adaptation process has produced a qualitative framework that can inform implementation strategies in support of country led HIV care and treatment programs. The framework, as a well-received iterative process focused on technical assistance, may have broader utility in other global programs.

Digital pathology: DICOM-conform draft, testbed, and first results.

PubMed

Zwönitzer, Ralf; Kalinski, Thomas; Hofmann, Harald; Roessner, Albert; Bernarding, Johannes

2007-09-01

Hospital information systems are state of the art nowadays. Therefore, Digital Pathology, also labelled as Virtual Microscopy, has gained increased attention. Triggered by radiology, standardized information models and workflows were world-wide defined based on DICOM. However, DICOM-conform integration of Digital Pathology into existing clinical information systems imposes new problems requiring specific solutions concerning the huge amount of data as well as the special structure of the data to be managed, transferred, and stored. We implemented a testbed to realize and evaluate the workflow of digitized slides from acquisition to archiving. The experiences led to the draft of a DICOM-conform information model that accounted for extensions, definitions, and technical requirements necessary to integrate digital pathology in a hospital-wide DICOM environment. Slides were digitized, compressed, and could be viewed remotely. Real-time transfer of the huge amount of data was optimized using streaming techniques. Compared to a recent discussion in the DICOM Working Group for Digital Pathology (WG26) our experiences led to a preference of a JPEG2000/JPIP-based streaming of the whole slide image. The results showed that digital pathology is feasible but strong efforts by users and vendors are still necessary to integrate Digital Pathology into existing information systems.

Exploring the Medical Home in Ryan White HIV Care Settings: A Pilot Study

PubMed Central

Beane, Stephanie N.; Culyba, Rebecca J.; DeMayo, Michael; Armstrong, Wendy

2014-01-01

Amid increased attention to the cost of health care, health information technology, and specialization and fragmentation in medicine, the medical home has achieved recognition as a model for more effective and efficient health care. Little data are available on recently funded HIV medical home demonstration projects, and no research richly describes existing medical home characteristics, implementation challenges, and impact on outcomes in longstanding HIV outpatient settings. The Ryan White HIV/AIDS Program (RWP) provides federal funding for primary and specialty care for people living with HIV. Although RWP clinics developed independently of the medical home model, existing data indirectly support that, with emphasis on primary, comprehensive, and patient-centered care, RWP clinics operate as medical homes. This study explores the development, definition, and implementation of medical home characteristics by RWP-funded providers in order to better understand how it fits with broader debates about medical homes and health care reform. PMID:24560357

Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness.

PubMed

Ferranti, Jeffrey M; Langman, Matthew K; Tanaka, David; McCall, Jonathan; Ahmad, Asif

2010-01-01

Healthcare is increasingly dependent upon information technology (IT), but the accumulation of data has outpaced our capacity to use it to improve operating efficiency, clinical quality, and financial effectiveness. Moreover, hospitals have lagged in adopting thoughtful analytic approaches that would allow operational leaders and providers to capitalize upon existing data stores. In this manuscript, we propose a fundamental re-evaluation of strategic IT investments in healthcare, with the goal of increasing efficiency, reducing costs, and improving outcomes through the targeted application of health analytics. We also present three case studies that illustrate the use of health analytics to leverage pre-existing data resources to support improvements in patient safety and quality of care, to increase the accuracy of billing and collection, and support emerging health issues. We believe that such active investment in health analytics will prove essential to realizing the full promise of investments in electronic clinical systems.

Knowledge Translation for Cardiovascular Disease Research and Management in Japan

PubMed Central

Shommu, Nusrat S

2017-01-01

Knowledge translation is an essential and emerging arena in healthcare research. It is the process of aiding the application of research knowledge into clinical practice or policymaking. Individuals at all levels of the health care system, including patients, healthcare professionals, and policymakers, are affected by the gaps that exist between research evidence and practice; the process of knowledge translation plays a role in bridging these gaps and incorporating high-quality clinical research into decision-making. Cardiovascular disease (CVD) management is a crucial area of healthcare where information gaps are known to exist. Although Japan has one of the lowest risks and mortality rates from CVDs, an increasing trend of cardiovascular incidence and changes in the risk factor conditions have been observed in recent years. This article provides an overview of knowledge translation and its importance in the cardiovascular health of the Japanese population, and describes the key steps of a typical knowledge translation strategy. PMID:28757537

Knowledge Translation for Cardiovascular Disease Research and Management in Japan.

PubMed

Shommu, Nusrat S; Turin, Tanvir C

2017-09-01

Knowledge translation is an essential and emerging arena in healthcare research. It is the process of aiding the application of research knowledge into clinical practice or policymaking. Individuals at all levels of the health care system, including patients, healthcare professionals, and policymakers, are affected by the gaps that exist between research evidence and practice; the process of knowledge translation plays a role in bridging these gaps and incorporating high-quality clinical research into decision-making. Cardiovascular disease (CVD) management is a crucial area of healthcare where information gaps are known to exist. Although Japan has one of the lowest risks and mortality rates from CVDs, an increasing trend of cardiovascular incidence and changes in the risk factor conditions have been observed in recent years. This article provides an overview of knowledge translation and its importance in the cardiovascular health of the Japanese population, and describes the key steps of a typical knowledge translation strategy.

Economics of childbirth.

PubMed

Fahy, Michael; Doyle, Orla; Denny, Kevin; McAuliffe, Fionnuala M; Robson, Michael

2013-05-01

Increasing birth rates have raised questions for policy makers and hospital management about the economic costs of childbirth. The purpose of this article is to identify and review all existing scientific studies in relation to the economic costs of alternative modes of childbirth delivery and to highlight deficiencies in the existing scientific research. We searched Cochrane, Centre for Reviews and Dissemination, EconLit, the Excerpta Medica Database, the Health Economic Evaluations Database, MEDLINE and PubMed. Thirty articles are included in this review. The main findings suggest that there is no internationally acceptable childbirth cost and clinical outcome classification system that allows for comparisons across different delivery modes. This review demonstrates that a better understanding and classification of the costs and associated clinical outcomes of childbirth is required to allow for valid comparisons between maternity units, and to inform policy makers and hospital management. © 2013 The Authors Acta Obstetricia et Gynecologica Scandinavica © 2013 Nordic Federation of Societies of Obstetrics and Gynecology.

Bridging the gap: leveraging business intelligence tools in support of patient safety and financial effectiveness

PubMed Central

Langman, Matthew K; Tanaka, David; McCall, Jonathan; Ahmad, Asif

2010-01-01

Healthcare is increasingly dependent upon information technology (IT), but the accumulation of data has outpaced our capacity to use it to improve operating efficiency, clinical quality, and financial effectiveness. Moreover, hospitals have lagged in adopting thoughtful analytic approaches that would allow operational leaders and providers to capitalize upon existing data stores. In this manuscript, we propose a fundamental re-evaluation of strategic IT investments in healthcare, with the goal of increasing efficiency, reducing costs, and improving outcomes through the targeted application of health analytics. We also present three case studies that illustrate the use of health analytics to leverage pre-existing data resources to support improvements in patient safety and quality of care, to increase the accuracy of billing and collection, and support emerging health issues. We believe that such active investment in health analytics will prove essential to realizing the full promise of investments in electronic clinical systems. PMID:20190055

An XML-based system for the flexible classification and retrieval of clinical practice guidelines.

PubMed Central

Ganslandt, T.; Mueller, M. L.; Krieglstein, C. F.; Senninger, N.; Prokosch, H. U.

2002-01-01

Beneficial effects of clinical practice guidelines (CPGs) have not yet reached expectations due to limited routine adoption. Electronic distribution and reminder systems have the potential to overcome implementation barriers. Existing electronic CPG repositories like the National Guideline Clearinghouse (NGC) provide individual access but lack standardized computer-readable interfaces necessary for automated guideline retrieval. The aim of this paper was to facilitate automated context-based selection and presentation of CPGs. Using attributes from the NGC classification scheme, an XML-based metadata repository was successfully implemented, providing document storage, classification and retrieval functionality. Semi-automated extraction of attributes was implemented for the import of XML guideline documents using XPath. A hospital information system interface was exemplarily implemented for diagnosis-based guideline invocation. Limitations of the implemented system are discussed and possible future work is outlined. Integration of standardized computer-readable search interfaces into existing CPG repositories is proposed. PMID:12463831

Clinical medical librarian: the last unicorn?

PubMed

Demas, J M; Ludwig, L T

1991-01-01

In the information age of the 1990s, the clinical medical librarian (CML) concept, like many other personalized library services, is often criticized as being too labor-intensive and expensive; others praise its advantages. To determine the attitudes of medical school library directors and clinical department heads toward implementation and feasibility of a CML program, forty randomly selected medical schools were surveyed. A double-blind procedure was used to sample department heads in internal medicine, pediatrics, and surgery, as well as health sciences library directors identified by the Association of Academic Health Sciences Library Directors (AAHSLD) annual statistics. The survey instrument was designed to measure responses to the following attitudinal variables: acceptance and nonacceptance of a CML program; importance to patient care, education, and research; influence on information-seeking patterns of health care professionals; ethical issues; CML extension services; and costs. Seventy-nine usable questionnaires out of a total of 120 (66%) were obtained from clinical medical personnel, and 30 usable questionnaires out of a total of 40 (75%) were obtained from medical school library directors. Survey results indicated significant differences between clinical medical personnel and library personnel regarding attitudes toward CML influence on information-seeking patterns, ethics, alternative CML services, and costs. Survey results also indicated a continuing strong support for CML programs in the medical school setting; however, differences of opinion existed toward defining the role of the CML and determining responsibility for funding.

Safe Practices for Copy and Paste in the EHR

PubMed Central

Lehmann, Christoph U.; Michel, Jeremy; Solomon, Ronni; Possanza, Lorraine; Gandhi, Tejal

2017-01-01

Summary Background Copy and paste functionality can support efficiency during clinical documentation, but may promote inaccurate documentation with risks for patient safety. The Partnership for Health IT Patient Safety was formed to gather data, conduct analysis, educate, and disseminate safe practices for safer care using health information technology (IT). Objective To characterize copy and paste events in clinical care, identify safety risks, describe existing evidence, and develop implementable practice recommendations for safe reuse of information via copy and paste. Methods The Partnership 1) reviewed 12 reported safety events, 2) solicited expert input, and 3) performed a systematic literature review (2010 to January 2015) to identify publications addressing frequency, perceptions/attitudes, patient safety risks, existing guidance, and potential interventions and mitigation practices. Results The literature review identified 51 publications that were included. Overall, 66% to 90% of clinicians routinely use copy and paste. One study of diagnostic errors found that copy and paste led to 2.6% of errors in which a missed diagnosis required patients to seek additional unplanned care. Copy and paste can promote note bloat, internal inconsistencies, error propagation, and documentation in the wrong patient chart. Existing guidance identified specific responsibilities for authors, organizations, and electronic health record (EHR) developers. Analysis of 12 reported copy and paste safety events was congruent with problems identified from the literature review. Conclusion Despite regular copy and paste use, evidence regarding direct risk to patient safety remains sparse, with significant study limitations. Drawing on existing evidence, the Partnership developed four safe practice recommendations: 1) Provide a mechanism to make copy and paste material easily identifiable; 2) Ensure the provenance of copy and paste material is readily available; 3) Ensure adequate staff training and education; 4) Ensure copy and paste practices are regularly monitored, measured, and assessed. PMID:28074211

Safe Practices for Copy and Paste in the EHR. Systematic Review, Recommendations, and Novel Model for Health IT Collaboration.

PubMed

Tsou, Amy Y; Lehmann, Christoph U; Michel, Jeremy; Solomon, Ronni; Possanza, Lorraine; Gandhi, Tejal

2017-01-11

Copy and paste functionality can support efficiency during clinical documentation, but may promote inaccurate documentation with risks for patient safety. The Partnership for Health IT Patient Safety was formed to gather data, conduct analysis, educate, and disseminate safe practices for safer care using health information technology (IT). To characterize copy and paste events in clinical care, identify safety risks, describe existing evidence, and develop implementable practice recommendations for safe reuse of information via copy and paste. The Partnership 1) reviewed 12 reported safety events, 2) solicited expert input, and 3) performed a systematic literature review (2010 to January 2015) to identify publications addressing frequency, perceptions/attitudes, patient safety risks, existing guidance, and potential interventions and mitigation practices. The literature review identified 51 publications that were included. Overall, 66% to 90% of clinicians routinely use copy and paste. One study of diagnostic errors found that copy and paste led to 2.6% of errors in which a missed diagnosis required patients to seek additional unplanned care. Copy and paste can promote note bloat, internal inconsistencies, error propagation, and documentation in the wrong patient chart. Existing guidance identified specific responsibilities for authors, organizations, and electronic health record (EHR) developers. Analysis of 12 reported copy and paste safety events was congruent with problems identified from the literature review. Despite regular copy and paste use, evidence regarding direct risk to patient safety remains sparse, with significant study limitations. Drawing on existing evidence, the Partnership developed four safe practice recommendations: 1) Provide a mechanism to make copy and paste material easily identifiable; 2) Ensure the provenance of copy and paste material is readily available; 3) Ensure adequate staff training and education; 4) Ensure copy and paste practices are regularly monitored, measured, and assessed.

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.

Using Electronic Health Records to Support Clinical Trials: A Report on Stakeholder Engagement for EHR4CR

PubMed Central

McCowan, Colin; Thomson, Elizabeth; Szmigielski, Cezary A.; Kalra, Dipak; Sullivan, Frank M.; Prokosch, Hans-Ulrich; Dugas, Martin; Ford, Ian

2015-01-01

Background. The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR) aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Methods. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. Results. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. Conclusions. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform. PMID:26539523

Using Electronic Health Records to Support Clinical Trials: A Report on Stakeholder Engagement for EHR4CR.

PubMed

McCowan, Colin; Thomson, Elizabeth; Szmigielski, Cezary A; Kalra, Dipak; Sullivan, Frank M; Prokosch, Hans-Ulrich; Dugas, Martin; Ford, Ian

2015-01-01

The conduct of clinical trials is increasingly challenging due to greater complexity and governance requirements as well as difficulties with recruitment and retention. Electronic Health Records for Clinical Research (EHR4CR) aims at improving the conduct of trials by using existing routinely collected data, but little is known about stakeholder views on data availability, information governance, and acceptable working practices. Senior figures in healthcare organisations across Europe were provided with a description of the project and structured interviews were subsequently conducted to elicit their views. 37 structured interviewees in Germany, UK, Switzerland, and France indicated strong support for the proposed EHR4CR platform. All interviewees reported that using the platform for assessing feasibility would enhance the conduct of clinical trials and the majority also felt it would reduce workloads. Interviewees felt the platform could enhance trial recruitment and adverse event reporting but also felt it could raise either ethical or information governance concerns in their country. There was clear support for EHR4CR and a belief that it could reduce workloads and improve the conduct and quality of trials. However data security, privacy, and information governance issues would need to be carefully managed in the development of the platform.

Health information exchange technology on the front lines of healthcare: workflow factors and patterns of use

PubMed Central

Johnson, Kevin B; Lorenzi, Nancy M

2011-01-01

Objective The goal of this study was to develop an in-depth understanding of how a health information exchange (HIE) fits into clinical workflow at multiple clinical sites. Materials and Methods The ethnographic qualitative study was conducted over a 9-month period in six emergency departments (ED) and eight ambulatory clinics in Memphis, Tennessee, USA. Data were collected using direct observation, informal interviews during observation, and formal semi-structured interviews. The authors observed for over 180 h, during which providers used the exchange 130 times. Results HIE-related workflow was modeled for each ED site and ambulatory clinic group and substantial site-to-site workflow differences were identified. Common patterns in HIE-related workflow were also identified across all sites, leading to the development of two role-based workflow models: nurse based and physician based. The workflow elements framework was applied to the two role-based patterns. An in-depth description was developed of how providers integrated HIE into existing clinical workflow, including prompts for HIE use. Discussion Workflow differed substantially among sites, but two general role-based HIE usage models were identified. Although providers used HIE to improve continuity of patient care, patient–provider trust played a significant role. Types of information retrieved related to roles, with nurses seeking to retrieve recent hospitalization data and more open-ended usage by nurse practitioners and physicians. User and role-specific customization to accommodate differences in workflow and information needs may increase the adoption and use of HIE. Conclusion Understanding end users' perspectives towards HIE technology is crucial to the long-term success of HIE. By applying qualitative methods, an in-depth understanding of HIE usage was developed. PMID:22003156

Rapid Deployment Aortic Replacement (RADAR) Registry in Spain: a protocol.

PubMed

Bautista-Hernandez, Victor; Cal-Purriños, Natalia; Arribas-Leal, Jose M; Carnero-Alcazar, Manuel; Gutierrez-Diez, Jose F; Cuenca-Castillo, Jose J

2017-01-10

Rapid deployment valves (RDV) represent a newly introduced approach to aortic valve replacement which facilitates surgical implantation and minimally invasive techniques, shortens surgical times and shows excellent haemodynamic performance. However, evidence on their safety, efficacy and potential complications is mostly fitted with small-volume and retrospective studies. Moreover, no current guidelines exist. To improve our knowledge on this technology, The Rapid Deployment Aortic Replacement (RADAR) Registry will be established across Spain with the aim of assessing RDV outcomes in the real-world setting. The RADAR Registry is designed as a product registry that would provide information on its use and outcomes in clinical practice. This multicentre, prospective, national effort will initially involve 4 centres in Spain. Any patient undergoing cardiac surgery for aortic valve replacement and receiving an RDV as an isolated operation or in combination with other cardiac procedures may be included. Participation is voluntary. Data collection is equal to information obtained during standard care and is prospectively entered by the participating physicians perioperatively and during subsequent follow-up visits. The primary outcome assessed is in-hospital and up to 5 years of follow-up, prosthetic valve functioning and clinical status. Secondary outcomes are to perform subgroup analysis, to compare outcomes with other existing approaches and to develop future clinical guidelines. The follow-up assessments are timed with routine clinical appointments. Dissociated data will be extracted and collectively analysed. Initial target sample size for the registry is 500 participants entered with complete follow-up information. Different substudies will be implemented within the registry to investigate specific populations undergoing aortic valve replacement. The protocol is approved by all local institutional ethics committees. Findings will be shared by the participant hospitals, policymakers and the academic community to promote quality monitoring and efficient use of this technology. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Keeping mum about dad: "contracts" to protect gamete donor anonymity.

PubMed

Rees, Anne

2012-06-01

This article considers the legal status of so-called contracts for anonymity between fertility clinics and donors of gametes that were made in the period before legislation authorising disclosure. It notes that while clinics frequently cite the existence of these "contracts" to argue against retrospective legislation authorising disclosure of the donor's identity, they may be nothing more than one-sided statements of informed consent. However, the article notes that even if an agreement between a donor and a clinic is not contractual, it does not follow that a person conceived through assisted reproductive technology has any right of access to the identity of the donor. The writer has not been able to locate examples of written promises by the clinics promising anonymity. There are written promises by the donors not to seek the identity of the recipients. These promises do not bind the resulting offspring nor do they appear to be supported by consideration. The article suggests that the basis for any individual donor to restrain a clinic from revealing their identity may be found in promissory estoppel. Nevertheless, there is no real issue in Australia concerning clinics revealing these details absent legislative authority. The issue is whether parliaments will legislate to authorise the disclosure. The article notes that it would be rare for parliaments to legislate to overturn existing legal contracts but suggests that the contract argument may not be as strong as has been thought.

Cooperative problem solving with personal mobile information tools in hospitals.

PubMed

Buchauer, A; Werner, R; Haux, R

1998-01-01

Health-care professionals have a broad range of needs for information and cooperation while working at different points of care (e.g., outpatient departments, wards, and functional units such as operating theaters). Patient-related data and medical knowledge have to be widely available to support high-quality patient care. Furthermore, due to the increased specialization of health-care professionals, efficient collaboration is required. Personal mobile information tools have a considerable potential to realize almost ubiquitous information and collaborative support. They enable to unite the functionality of conventional tools such as paper forms, dictating machines, and pagers into one tool. Moreover, they can extend the support already provided by clinical workstations. An approach is described for the integration of mobile information tools with heterogeneous hospital information systems. This approach includes identification of functions which should be provided on mobile tools. Major functions are the presentation of medical records and reports, electronic mailing to support interpersonal communication, and the provision of editors for structured clinical documentation. To realize those functions on mobile tools, we propose a document-based client-server architecture that enables mobile information tools to interoperate with existing computer-based application systems. Open application systems and powerful, partially wireless, hospital-wide networks are the prerequisites for the introduction of mobile information tools.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

PubMed Central

Masanz, James J; Ogren, Philip V; Zheng, Jiaping; Sohn, Sunghwan; Kipper-Schuler, Karin C; Chute, Christopher G

2010-01-01

We aim to build and evaluate an open-source natural language processing system for information extraction from electronic medical record clinical free-text. We describe and evaluate our system, the clinical Text Analysis and Knowledge Extraction System (cTAKES), released open-source at http://www.ohnlp.org. The cTAKES builds on existing open-source technologies—the Unstructured Information Management Architecture framework and OpenNLP natural language processing toolkit. Its components, specifically trained for the clinical domain, create rich linguistic and semantic annotations. Performance of individual components: sentence boundary detector accuracy=0.949; tokenizer accuracy=0.949; part-of-speech tagger accuracy=0.936; shallow parser F-score=0.924; named entity recognizer and system-level evaluation F-score=0.715 for exact and 0.824 for overlapping spans, and accuracy for concept mapping, negation, and status attributes for exact and overlapping spans of 0.957, 0.943, 0.859, and 0.580, 0.939, and 0.839, respectively. Overall performance is discussed against five applications. The cTAKES annotations are the foundation for methods and modules for higher-level semantic processing of clinical free-text. PMID:20819853

An Evaluation of Understandability of Patient Journey Models in Mental Health.

PubMed

Percival, Jennifer; McGregor, Carolyn

2016-07-28

There is a significant trend toward implementing health information technology to reduce administrative costs and improve patient care. Unfortunately, little awareness exists of the challenges of integrating information systems with existing clinical practice. The systematic integration of clinical processes with information system and health information technology can benefit the patients, staff, and the delivery of care. This paper presents a comparison of the degree of understandability of patient journey models. In particular, the authors demonstrate the value of a relatively new patient journey modeling technique called the Patient Journey Modeling Architecture (PaJMa) when compared with traditional manufacturing based process modeling tools. The paper also presents results from a small pilot case study that compared the usability of 5 modeling approaches in a mental health care environment. Five business process modeling techniques were used to represent a selected patient journey. A mix of both qualitative and quantitative methods was used to evaluate these models. Techniques included a focus group and survey to measure usability of the various models. The preliminary evaluation of the usability of the 5 modeling techniques has shown increased staff understanding of the representation of their processes and activities when presented with the models. Improved individual role identification throughout the models was also observed. The extended version of the PaJMa methodology provided the most clarity of information flows for clinicians. The extended version of PaJMa provided a significant improvement in the ease of interpretation for clinicians and increased the engagement with the modeling process. The use of color and its effectiveness in distinguishing the representation of roles was a key feature of the framework not present in other modeling approaches. Future research should focus on extending the pilot case study to a more diversified group of clinicians and health care support workers.

From bed to bench: bridging from informatics practice to theory: an exploratory analysis.

PubMed

Haux, R; Lehmann, C U

2014-01-01

In 2009, Applied Clinical Informatics (ACI)--focused on applications in clinical informatics--was launched as a companion journal to Methods of Information in Medicine (MIM). Both journals are official journals of the International Medical Informatics Association. To explore which congruencies and interdependencies exist in publications from theory to practice and from practice to theory and to determine existing gaps. Major topics discussed in ACI and MIM were analyzed. We explored if the intention of publishing companion journals to provide an information bridge from informatics theory to informatics practice and vice versa could be supported by this model. In this manuscript we will report on congruencies and interdependences from practice to theory and on major topics in MIM. Retrospective, prolective observational study on recent publications of ACI and MIM. All publications of the years 2012 and 2013 were indexed and analyzed. Hundred and ninety-six publications were analyzed (ACI 87, MIM 109). In MIM publications, modelling aspects as well as methodological and evaluation approaches for the analysis of data, information, and knowledge in biomedicine and health care were frequently raised - and often discussed from an interdisciplinary point of view. Important themes were ambient-assisted living, anatomic spatial relations, biomedical informatics as scientific discipline, boosting, coding, computerized physician order entry, data analysis, grid and cloud computing, health care systems and services, health-enabling technologies, health information search, health information systems, imaging, knowledge-based decision support, patient records, signal analysis, and web science. Congruencies between journals could be found in themes, but with a different focus on content. Interdependencies from practice to theory, found in these publications, were only limited. Bridging from informatics theory to practice and vice versa remains a major component of successful research and practice as well as a major challenge.

Current state of ethics literature synthesis: a systematic review of reviews.

PubMed

Mertz, Marcel; Kahrass, Hannes; Strech, Daniel

2016-10-03

Modern standards for evidence-based decision making in clinical care and public health still rely solely on eminence-based input when it comes to normative ethical considerations. Manuals for clinical guideline development or health technology assessment (HTA) do not explain how to search, analyze, and synthesize relevant normative information in a systematic and transparent manner. In the scientific literature, however, systematic or semi-systematic reviews of ethics literature already exist, and scholarly debate on their opportunities and limitations has recently bloomed. A systematic review was performed of all existing systematic or semi-systematic reviews for normative ethics literature on medical topics. The study further assessed how these reviews report on their methods for search, selection, analysis, and synthesis of ethics literature. We identified 84 reviews published between 1997 and 2015 in 65 different journals and demonstrated an increasing publication rate for this type of review. While most reviews reported on different aspects of search and selection methods, reporting was much less explicit for aspects of analysis and synthesis methods: 31 % did not fulfill any criteria related to the reporting of analysis methods; for example, only 25 % of the reviews reported the ethical approach needed to analyze and synthesize normative information. While reviews of ethics literature are increasingly published, their reporting quality for analysis and synthesis of normative information should be improved. Guiding questions are: What was the applied ethical approach and technical procedure for identifying and extracting the relevant normative information units? What method and procedure was employed for synthesizing normative information? Experts and stakeholders from bioethics, HTA, guideline development, health care professionals, and patient organizations should work together to further develop this area of evidence-based health care.

Existing data sources for clinical epidemiology: The North Denmark Bacteremia Research Database

PubMed Central

Schønheyder, Henrik C; Søgaard, Mette

2010-01-01

Bacteremia is associated with high morbidity and mortality. Improving prevention and treatment requires better knowledge of the disease and its prognosis. However, in order to study the entire spectrum of bacteremia patients, we need valid sources of information, prospective data collection, and complete follow-up. In North Denmark Region, all patients diagnosed with bacteremia have been registered in a population-based database since 1981. The information has been recorded prospectively since 1992 and the main variables are: the patient’s unique civil registration number, date of sampling the first positive blood culture, date of admission, clinical department, date of notification of growth, place of acquisition, focus of infection, microbiological species, antibiogram, and empirical antimicrobial treatment. During the time from 1981 to 2008, information on 22,556 cases of bacteremia has been recorded. The civil registration number makes it possible to link the database to other medical databases and thereby build large cohorts with detailed longitudinal data that include hospital histories since 1977, comorbidity data, and complete follow-up of survival. The database is suited for epidemiological research and, presently, approximately 60 studies have been published. Other Danish departments of clinical microbiology have recently started to record the same information and a population base of 2.3 million will be available for future studies. PMID:20865114

A "building block" approach to application development for education and decision support in radiology: implications for integrated clinical information systems environments.

PubMed

Greenes, R A

1991-11-01

Education and decision-support resources useful to radiologists are proliferating for the personal computer/workstation user or are potentially accessible via high-speed networks. These resources are typically made available through a set of application programs that tend to be developed in isolation and operate independently. Nonetheless, there is a growing need for an integrated environment for access to these resources in the context of professional work, during clinical problem-solving and decision-making activities, and for use in conjunction with other information resources. New application development environments are required to provide these capabilities. One such architecture for applications, which we have implemented in a prototype environment called DeSyGNER, is based on separately delineating the component information resources required for an application, termed entities, and the user interface and organizational paradigms, or composition methods, by which the entities are used to provide particular kinds of capability. Examples include composition methods to support query, book browsing, hyperlinking, tutorials, simulations, or question/answer testing. Future steps must address true integration of such applications with existing clinical information systems. We believe that the most viable approach for evolving this capability is based on the use of new software engineering methodologies, open systems, client-server communication, and delineation of standard message protocols.

Opioids in the Frame of New Psychoactive Substances Network: A Complex Pharmacological and Toxicological Issue.

PubMed

Ventura, Ludovic; Carvalho, Felix; Dinis-Oliveira, Ricardo Jorge

2018-01-01

New psychoactive substances (NPS), often referred to as "legal highs" or "designer drugs", are derivatives and analogues of existing psychoactive drugs that are introduced in the recreational market to circumvent existing legislation on drugs of abuse. This systematic review aims to gather the state of the art regarding chemical, molecular pharmacology and toxicological information of opioid class of NPS. Chemical, pharmacological, toxicological and clinical effects of opioid class of NPS were searched in books and in PubMed (U.S. National Library of Medicine) without a limiting period. Within this class, fentanyl analogues are among the most frequently abused and pose several clinical concerns and therefore will be thoroughly discussed. Other opioid sub-categories of NPS frequently misused include AH-7921, MT-45, U-47700, U-50488, desomorphine, mitragynine, tramadol, tapentadol, salvinorin A and its analogue herkinorin. Due to inefficient monitoring techniques, as well as limited knowledge regarding the acute and long-term effects of opioids NPS, further clinical and forensic toxicological studies are required. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

[Children of mentally ill parents. A study of problem awareness in clinical routine practice].

PubMed

Bohus, M; Schehr, K; Berger-Sallawitz, F; Novelli-Fischer, U; Stieglitz, R D; Berger, M

1998-05-01

The risk of developing clinically relevant psychiatric disorders in the lifetime course is significantly greater among children of mentally ill parents. A child-adapted programme of information concerning the nature and symptomatology of parental illness is considered to be an important preventive factor, and lies within the domain of the psychiatrist's or therapist's responsibilities. During the developmental phase of a prevention project at Freiburg University's Department of Psychiatry and Psychotherapy, both clinical practice and the level of problem awareness among patients and the therapists were evaluated. Over a period of one year, consecutive interviews involving 114 patients with children under 18 years of age, as well as their respective therapists, were conducted. The results showed that: scarcely any exchanges between children and therapists took place; the extent to which children are informed about parental illness must be considered as small; a high percentage of such children are already evaluated by their parents as disturbed, and the pressing need for support exists.

Applications for detection of acute kidney injury using electronic medical records and clinical information systems: workgroup statements from the 15(th) ADQI Consensus Conference.

PubMed

James, Matthew T; Hobson, Charles E; Darmon, Michael; Mohan, Sumit; Hudson, Darren; Goldstein, Stuart L; Ronco, Claudio; Kellum, John A; Bagshaw, Sean M

2016-01-01

Electronic medical records and clinical information systems are increasingly used in hospitals and can be leveraged to improve recognition and care for acute kidney injury. This Acute Dialysis Quality Initiative (ADQI) workgroup was convened to develop consensus around principles for the design of automated AKI detection systems to produce real-time AKI alerts using electronic systems. AKI alerts were recognized by the workgroup as an opportunity to prompt earlier clinical evaluation, further testing and ultimately intervention, rather than as a diagnostic label. Workgroup members agreed with designing AKI alert systems to align with the existing KDIGO classification system, but recommended future work to further refine the appropriateness of AKI alerts and to link these alerts to actionable recommendations for AKI care. The consensus statements developed in this review can be used as a roadmap for development of future electronic applications for automated detection and reporting of AKI.

The Brustkrebs-Studien.de website for breast cancer patients: User acceptance of a German internet portal offering information on the disease and treatment options, and a clinical trials matching service

PubMed Central

2010-01-01

Background The internet portal http://www.brustkrebs-studien.de (BKS) was launched in 2000 by the German Society of Senology (DGS) and the Baden-Württemberg Institute for Women's Health (IFG) to provide expert-written information on breast cancer online and to encourage and facilitate the participation of breast cancer patients in clinical trials. We describe the development of BKS and its applications, and report on website statistics and user acceptance. Methods Existing registries, including ClinicalTrials.gov, were analysed before we designed BKS, which combines a trial registry, a knowledge portal, and an online second opinion service. An advisory board guided the process. Log files and patient enquiries for trial participation and second opinions were analysed. A two-week user satisfaction survey was conducted online. Results During 10/2005-06/2010, the portal attracted 702,655 visitors, generating 15,507,454 page views. By 06/2010, the website's active scientific community consisted of 189 investigators and physicians, and the registry covered 163 clinical trial protocols. In 2009, 143 patients requested trial enrolment and 119 sought second opinions or individual treatment advice from the expert panel. During the two-week survey in 2008, 5,702 BKS visitors submitted 507 evaluable questionnaires. Portal acceptance was high. Respondents trusted information correctness (80%), welcomed self-matching to clinical trials (79%) and planned to use the portal in the future (76%) and recommend it to others (81%). Conclusions BKS is an established and trusted breast cancer information platform offering up-to-date resources and protocols to the growing physician and patient community to encourage participation in clinical trials. Further studies are needed to assess potential increases in trial enrolment by eligibility matching services. PMID:21126358

Emerging Issues and Opportunities in Health Information Technology.

PubMed

Nardi, Elizabeth A; Lentz, Lisa Korin; Winckworth-Prejsnar, Katherine; Abernethy, Amy P; Carlson, Robert W

2016-10-01

When used effectively, health information technology (HIT) can transform clinical care and contribute to new research discoveries. Despite advances in HIT and increased electronic health record adoption, many challenges to optimal use, interoperability, and data sharing exist. Data standardization across systems is limited, and scanned medical note documents result in unstructured data that make reporting on quality measures for reimbursement burdensome. Different policies and initiatives, including the Health Information Technology for Economic and Clinical Health Act, the Medicare Access and CHIP Reauthorization Act, and the National Cancer Moonshot initiative, among others, all recognize the impact that HIT can have on cancer care. Given the growing role HIT plays in health care, it is vital to have effective and efficient HIT systems that can exchange information, collect credible data that is analyzable at the point of care, and improves the patient-provider relationship. In June 2016, NCCN hosted the Emerging Issues and Opportunities in Health Information Technology Policy Summit. The summit addressed challenges, issues, and opportunities in HIT as they relate to cancer care. Keynote presentations and panelists discussed moving beyond Meaningful Use, HIT readiness to support and report on quality care, the role of HIT in precision medicine, the role of HIT in the National Cancer Moonshot initiative, and leveraging HIT to improve quality of clinical care. Copyright © 2016 by the National Comprehensive Cancer Network.

Pre-departure preparation for international clinical work: a handbook.

PubMed

Edwardson, Jill; Owens, Lauren; Moran, Dane; Aluri, James; Kironji, Antony; Chen, Chi Chiung Grace

2015-08-01

International clinical experiences are increasingly popular among medical students, residents, fellows, and practitioners. Adequate pre-departure training is an integral part of a meaningful, productive, and safe international experience. At Johns Hopkins University School of Medicine, we have developed a pre-departure handbook to assist practitioners in preparing for global health work. The handbook draws from current global health education literature, existing handbooks, and expert experiences, and includes information about logistical and cultural preparations. While a pre-departure handbook cannot serve as a substitute for a comprehensive pre-departure training program, it can be a useful introduction to the pre-departure process.

Personalized medicine: is it a pharmacogenetic mirage?

PubMed Central

Shah, Rashmi R; Shah, Devron R

2012-01-01

The notion of personalized medicine has developed from the application of the discipline of pharmacogenetics to clinical medicine. Although the clinical relevance of genetically-determined inter-individual differences in pharmacokinetics is poorly understood, and the genotype-phenotype association data on clinical outcomes often inconsistent, officially approved drug labels frequently include pharmacogenetic information concerning the safety and/or efficacy of a number of drugs and refer to the availability of the pharmacogenetic test concerned. Regulatory authorities differ in their approach to these issues. Evidence emerging subsequently has generally revealed the pharmacogenetic information included in the label to be premature. Revised drugs labels, together with a flurry of other collateral activities, have raised public expectations of personalized medicine, promoted as ‘the right drug at the right dose the first time.’ These expectations place the prescribing physician in a dilemma and at risk of litigation, especially when evidence-based information on genotype-related dosing schedules is to all intent and purposes non-existent and guidelines, intended to improve the clinical utility of available pharmacogenetic information or tests, distance themselves from any responsibility. Lack of efficacy or an adverse drug reaction is frequently related to non-genetic factors. Phenoconversion, arising from drug interactions, poses another often neglected challenge to any potential success of personalized medicine by mimicking genetically-determined enzyme deficiency. A more realistic promotion of personalized medicine should acknowledge current limitations and emphasize that pharmacogenetic testing can only improve the likelihood of diminishing a specific toxic effect or increasing the likelihood of a beneficial effect and that application of pharmacogenetics to clinical medicine cannot adequately predict drug response in individual patients. PMID:22591598

Profiling structured product labeling with NDF-RT and RxNorm

PubMed Central

2012-01-01

Background Structured Product Labeling (SPL) is a document markup standard approved by Health Level Seven (HL7) and adopted by United States Food and Drug Administration (FDA) as a mechanism for exchanging drug product information. The SPL drug labels contain rich information about FDA approved clinical drugs. However, the lack of linkage to standard drug ontologies hinders their meaningful use. NDF-RT (National Drug File Reference Terminology) and NLM RxNorm as standard drug ontology were used to standardize and profile the product labels. Methods In this paper, we present a framework that intends to map SPL drug labels with existing drug ontologies: NDF-RT and RxNorm. We also applied existing categorical annotations from the drug ontologies to classify SPL drug labels into corresponding classes. We established the classification and relevant linkage for SPL drug labels using the following three approaches. First, we retrieved NDF-RT categorical information from the External Pharmacologic Class (EPC) indexing SPLs. Second, we used the RxNorm and NDF-RT mappings to classify and link SPLs with NDF-RT categories. Third, we profiled SPLs using RxNorm term type information. In the implementation process, we employed a Semantic Web technology framework, in which we stored the data sets from NDF-RT and SPLs into a RDF triple store, and executed SPARQL queries to retrieve data from customized SPARQL endpoints. Meanwhile, we imported RxNorm data into MySQL relational database. Results In total, 96.0% SPL drug labels were mapped with NDF-RT categories whereas 97.0% SPL drug labels are linked to RxNorm codes. We found that the majority of SPL drug labels are mapped to chemical ingredient concepts in both drug ontologies whereas a relatively small portion of SPL drug labels are mapped to clinical drug concepts. Conclusions The profiling outcomes produced by this study would provide useful insights on meaningful use of FDA SPL drug labels in clinical applications through standard drug ontologies such as NDF-RT and RxNorm. PMID:23256517

Profiling structured product labeling with NDF-RT and RxNorm.

PubMed

Zhu, Qian; Jiang, Guoqian; Chute, Christopher G

2012-12-20

Structured Product Labeling (SPL) is a document markup standard approved by Health Level Seven (HL7) and adopted by United States Food and Drug Administration (FDA) as a mechanism for exchanging drug product information. The SPL drug labels contain rich information about FDA approved clinical drugs. However, the lack of linkage to standard drug ontologies hinders their meaningful use. NDF-RT (National Drug File Reference Terminology) and NLM RxNorm as standard drug ontology were used to standardize and profile the product labels. In this paper, we present a framework that intends to map SPL drug labels with existing drug ontologies: NDF-RT and RxNorm. We also applied existing categorical annotations from the drug ontologies to classify SPL drug labels into corresponding classes. We established the classification and relevant linkage for SPL drug labels using the following three approaches. First, we retrieved NDF-RT categorical information from the External Pharmacologic Class (EPC) indexing SPLs. Second, we used the RxNorm and NDF-RT mappings to classify and link SPLs with NDF-RT categories. Third, we profiled SPLs using RxNorm term type information. In the implementation process, we employed a Semantic Web technology framework, in which we stored the data sets from NDF-RT and SPLs into a RDF triple store, and executed SPARQL queries to retrieve data from customized SPARQL endpoints. Meanwhile, we imported RxNorm data into MySQL relational database. In total, 96.0% SPL drug labels were mapped with NDF-RT categories whereas 97.0% SPL drug labels are linked to RxNorm codes. We found that the majority of SPL drug labels are mapped to chemical ingredient concepts in both drug ontologies whereas a relatively small portion of SPL drug labels are mapped to clinical drug concepts. The profiling outcomes produced by this study would provide useful insights on meaningful use of FDA SPL drug labels in clinical applications through standard drug ontologies such as NDF-RT and RxNorm.

Increased Susceptibility to Chemical Toxicity with Pre-existing ...

EPA Pesticide Factsheets

Numerous host and environmental factors may modulate vulnerability and risk. An area of increasing interest to risk assessors is the potential for chemicals to interact with pre-existing diseases and aging that may yield cumulative damage, altered chemical response, and increased disease susceptibility. We evaluated the relationships between chemicals and pre-existing disease and identify the type of information needed to evaluate the relationships of interest. Key among these is the existence of a clinically relevant and easy to measure biomarker of disease risk which is also modulated by a particular chemical of interest. This biomarker may be a physiological, biochemical, or genetic indicator that corresponds to a phase of the disease process and may be an indicator of where an individual is on the continuum of disease or health status. The relationship between chemical exposure and a biomarker may then be used to predict how preexisting conditions may modify health risks of chemical exposures. Several case studies are explored to describe the toxic chemical, the clinical biomarker, the impacted disease and the evidence that the chemical enhances disease risk: fine particulate matter/decreased heart rate variability/increased cardiopulmonary events; cadmium/decreased glomerular filtration ate/increased chronic kidney disease; methyl mercury/decreased paraoxonase-1/increased cardiovascular risk; Trichloroethylene/increased anti-nuclear antibody/autoimmunit

Pseudonymisation of radiology data for research purposes

NASA Astrophysics Data System (ADS)

Noumeir, Rita; Lemay, Alain; Lina, Jean-Marc

2005-04-01

Medical image processing methods and algorithms, developed by researchers, need to be validated and tested. Test data should ideally be real clinical data especially when that clinical data is varied and exists in large volume. In nowadays, clinical data is accessible electronically and has important value for researchers. However, the usage of clinical data for research purposes should respect data confidentiality, patient right to privacy and the patient consent. In fact, clinical data is nominative given that it contains information about the patient such as name, age and identification number. Evidently, clinical data should be de-identified to be exported to research databases. However, the same patient is usually followed during a long period of time. The disease progression and the diagnostic evolution represent extremely valuable information for researchers, as well. Our objective is to build a research database from de-identified clinical data while enabling the database to be easily incremented by exporting new pseudonymous data, acquired over a long period of time. Pseudonymisation is data de-identification such that data belonging to the same individual in the clinical environment bear the same relation to each other in the de-identified research version. In this paper, we propose a software architecture that enables the implementation of a research database that can be incremented in time. We also evaluate its security and discuss its security pitfalls.

The Linked CENTURY Study: linking three decades of clinical and public health data to examine disparities in childhood obesity.

PubMed

Hawkins, Summer Sherburne; Gillman, Matthew W; Rifas-Shiman, Sheryl L; Kleinman, Ken P; Mariotti, Megan; Taveras, Elsie M

2016-03-09

Despite the need to identify the causes of disparities in childhood obesity, the existing epidemiologic studies of early life risk factors have several limitations. We report on the construction of the Linked CENTURY database, incorporating CENTURY (Collecting Electronic Nutrition Trajectory Data Using Records of Youth) Study data with birth certificates; and discuss the potential implications of combining clinical and public health data sources in examining the etiology of disparities in childhood obesity. We linked the existing CENTURY Study, a database of 269,959 singleton children from birth to age 18 years with measured heights and weights, with each child's Massachusetts birth certificate, which captures information on their mothers' pregnancy history and detailed socio-demographic information of both mothers and fathers. Overall, 74.2 % were matched, resulting in 200,343 children in the Linked CENTURY Study with 1,580,597 well child visits. Among this cohort, 94.0 % (188,334) of children have some father information available on the birth certificate and 60.9 % (121,917) of children have at least one other sibling in the dataset. Using maternal race/ethnicity from the birth certificate as an indicator of children's race/ethnicity, 75.7 % of children were white, 11.6 % black, 4.6 % Hispanic, and 5.7 % Asian. Based on socio-demographic information from the birth certificate, 20.0 % of mothers were non-US born, 5.9 % smoked during pregnancy, 76.3 % initiated breastfeeding, and 11.0 % of mothers had their delivery paid for by public health insurance. Using clinical data from the CENTURY Study, 22.7 % of children had a weight-for-length ≥ 95(th) percentile between 1 and 24 months and 12.0 % of children had a body mass index ≥ 95(th) percentile at ages 5 and 17 years. By linking routinely-collected data sources, it is possible to address research questions that could not be answered with either source alone. Linkage between a clinical database and each child's birth certificate has created a unique dataset with nearly complete racial/ethnic and socio-demographic information from both parents, which has the potential to examine the etiology of racial/ethnic and socioeconomic disparities in childhood obesity.

Clinical audit of COPD in outpatient respiratory clinics in Spain: the EPOCONSUL study

PubMed Central

Calle Rubio, Myriam; Alcázar Navarrete, Bernardino; Soriano, Joan B; Soler-Cataluña, Juan J; Rodríguez González-Moro, José Miguel; Fuentes Ferrer, Manuel E; López-Campos, José Luis

2017-01-01

Background Chronic obstructive pulmonary disease (COPD) outpatients account for a large burden of usual care by respirologists. EPOCONSUL is the first national clinical audit conducted in Spain on the medical care for COPD patients delivered in outpatient respiratory clinics. We aimed to evaluate the clinical interventions and the degree of adherence to recommendations in outpatients of current COPD clinical practice guidelines. Methodology This is an observational study with prospective recruitment (May 2014–May 2015) of patients with a COPD diagnosis as seen in outpatient respiratory clinics. The information collected was historical in nature as for the clinical data of the last and previous consultations, and the information concerning hospital resources was concurrent. Results A total of 17,893 clinical records of COPD patients in outpatient respiratory clinics from 59 Spanish hospitals were evaluated. Of the 5,726 patients selected, 4,508 (78.7%) were eligible. Overall, 12.1% of COPD patients did not fulfill a diagnostic spirometry criteria. Considerable variability existed in the available resources and work organization of the hospitals, although the majority were university hospitals with respiratory inpatient units. There was insufficient implementation of clinical guidelines in preventive and educational matters. In contrast, quantitative evaluation of dyspnea grade (81.9%) and exacerbation history (70.9%) were more frequently performed. Only 12.4% had COPD severity calculated according to the Body mass index, airflow Obstruction, Dyspnoea and Exercise capacity (BODE) index. Phenotype characteristics according to Spanish National Guideline for COPD were determined in 46.3% of the audited patients, and the risk evaluation according to Global initiative for chronic Obstructive Lung Disease was estimated only in 21.9%. Conclusion The EPOCONSUL study reports the current situation of medical care for COPD patients in outpatient clinics in Spain, revealing its variability, strengths, and weaknesses. This information has to be accounted for by health managers to define corrective strategies and maximize good clinical practice. PMID:28182155

Clinical audit of COPD in outpatient respiratory clinics in Spain: the EPOCONSUL study.

PubMed

Calle Rubio, Myriam; Alcázar Navarrete, Bernardino; Soriano, Joan B; Soler-Cataluña, Juan J; Rodríguez González-Moro, José Miguel; Fuentes Ferrer, Manuel E; López-Campos, José Luis

2017-01-01

Chronic obstructive pulmonary disease (COPD) outpatients account for a large burden of usual care by respirologists. EPOCONSUL is the first national clinical audit conducted in Spain on the medical care for COPD patients delivered in outpatient respiratory clinics. We aimed to evaluate the clinical interventions and the degree of adherence to recommendations in outpatients of current COPD clinical practice guidelines. This is an observational study with prospective recruitment (May 2014-May 2015) of patients with a COPD diagnosis as seen in outpatient respiratory clinics. The information collected was historical in nature as for the clinical data of the last and previous consultations, and the information concerning hospital resources was concurrent. A total of 17,893 clinical records of COPD patients in outpatient respiratory clinics from 59 Spanish hospitals were evaluated. Of the 5,726 patients selected, 4,508 (78.7%) were eligible. Overall, 12.1% of COPD patients did not fulfill a diagnostic spirometry criteria. Considerable variability existed in the available resources and work organization of the hospitals, although the majority were university hospitals with respiratory inpatient units. There was insufficient implementation of clinical guidelines in preventive and educational matters. In contrast, quantitative evaluation of dyspnea grade (81.9%) and exacerbation history (70.9%) were more frequently performed. Only 12.4% had COPD severity calculated according to the Body mass index, airflow Obstruction, Dyspnoea and Exercise capacity (BODE) index. Phenotype characteristics according to Spanish National Guideline for COPD were determined in 46.3% of the audited patients, and the risk evaluation according to Global initiative for chronic Obstructive Lung Disease was estimated only in 21.9%. The EPOCONSUL study reports the current situation of medical care for COPD patients in outpatient clinics in Spain, revealing its variability, strengths, and weaknesses. This information has to be accounted for by health managers to define corrective strategies and maximize good clinical practice.

Archetype modeling methodology.

PubMed

Moner, David; Maldonado, José Alberto; Robles, Montserrat

2018-03-01

Clinical Information Models (CIMs) expressed as archetypes play an essential role in the design and development of current Electronic Health Record (EHR) information structures. Although there exist many experiences about using archetypes in the literature, a comprehensive and formal methodology for archetype modeling does not exist. Having a modeling methodology is essential to develop quality archetypes, in order to guide the development of EHR systems and to allow the semantic interoperability of health data. In this work, an archetype modeling methodology is proposed. This paper describes its phases, the inputs and outputs of each phase, and the involved participants and tools. It also includes the description of the possible strategies to organize the modeling process. The proposed methodology is inspired by existing best practices of CIMs, software and ontology development. The methodology has been applied and evaluated in regional and national EHR projects. The application of the methodology provided useful feedback and improvements, and confirmed its advantages. The conclusion of this work is that having a formal methodology for archetype development facilitates the definition and adoption of interoperable archetypes, improves their quality, and facilitates their reuse among different information systems and EHR projects. Moreover, the proposed methodology can be also a reference for CIMs development using any other formalism. Copyright © 2018 Elsevier Inc. All rights reserved.

Building an Ontology for Identity Resolution in Healthcare and Public Health

PubMed Central

Duncan, Jeffrey; Eilbeck, Karen; Narus, Scott P.; Clyde, Stephen; Thornton, Sidney; Staes, Catherine

2015-01-01

Integration of disparate information from electronic health records, clinical data warehouses, birth certificate registries and other public health information systems offers great potential for clinical care, public health practice, and research. Such integration, however, depends on correctly matching patient-specific records using demographic identifiers. Without standards for these identifiers, record linkage is complicated by issues of structural and semantic heterogeneity. Objectives: Our objectives were to develop and validate an ontology to: 1) identify components of identity and events subsequent to birth that result in creation, change, or sharing of identity information; 2) develop an ontology to facilitate data integration from multiple healthcare and public health sources; and 3) validate the ontology’s ability to model identity-changing events over time. Methods: We interviewed domain experts in area hospitals and public health programs and developed process models describing the creation and transmission of identity information among various organizations for activities subsequent to a birth event. We searched for existing relevant ontologies. We validated the content of our ontology with simulated identity information conforming to scenarios identified in our process models. Results: We chose the Simple Event Model (SEM) to describe events in early childhood and integrated the Clinical Element Model (CEM) for demographic information. We demonstrated the ability of the combined SEM-CEM ontology to model identity events over time. Conclusion: The use of an ontology can overcome issues of semantic and syntactic heterogeneity to facilitate record linkage. PMID:26392849

Facilitating cancer research using natural language processing of pathology reports.

PubMed

Xu, Hua; Anderson, Kristin; Grann, Victor R; Friedman, Carol

2004-01-01

Many ongoing clinical research projects, such as projects involving studies associated with cancer, involve manual capture of information in surgical pathology reports so that the information can be used to determine the eligibility of recruited patients for the study and to provide other information, such as cancer prognosis. Natural language processing (NLP) systems offer an alternative to automated coding, but pathology reports have certain features that are difficult for NLP systems. This paper describes how a preprocessor was integrated with an existing NLP system (MedLEE) in order to reduce modification to the NLP system and to improve performance. The work was done in conjunction with an ongoing clinical research project that assesses disparities and risks of developing breast cancer for minority women. An evaluation of the system was performed using manually coded data from the research project's database as a gold standard. The evaluation outcome showed that the extended NLP system had a sensitivity of 90.6% and a precision of 91.6%. Results indicated that this system performed satisfactorily for capturing information for the cancer research project.

Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders.

PubMed

Kim, Katherine K; Browe, Dennis K; Logan, Holly C; Holm, Roberta; Hack, Lori; Ohno-Machado, Lucila

2014-01-01

There is currently limited information on best practices for the development of governance requirements for distributed research networks (DRNs), an emerging model that promotes clinical data reuse and improves timeliness of comparative effectiveness research. Much of the existing information is based on a single type of stakeholder such as researchers or administrators. This paper reports on a triangulated approach to developing DRN data governance requirements based on a combination of policy analysis with experts, interviews with institutional leaders, and patient focus groups. This approach is illustrated with an example from the Scalable National Network for Effectiveness Research, which resulted in 91 requirements. These requirements were analyzed against the Fair Information Practice Principles (FIPPs) and Health Insurance Portability and Accountability Act (HIPAA) protected versus non-protected health information. The requirements addressed all FIPPs, showing how a DRN's technical infrastructure is able to fulfill HIPAA regulations, protect privacy, and provide a trustworthy platform for research. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Mechanical equilibrium of forces and moments applied on orthodontic brackets of a dental arch: Correlation with literature data on two and three adjacent teeth.

PubMed

Wagner, Delphine; Bolender, Yves; Rémond, Yves; George, Daniel

2017-01-01

Although orthodontics have greatly improved over the years, understanding of its associated biomechanics remains incomplete and is mainly based on two dimensional (2D) mechanical equilibrium and long-time clinical experience. Little experimental information exists in three dimensions (3D) about the forces and moments developed on orthodontic brackets over more than two or three adjacent teeth. We define here a simplified methodology to quantify 3D forces and moments applied on orthodontic brackets fixed on a dental arch and validate our methodology using existing results from the literature by means of simplified hypotheses.

Empirical likelihood inference in randomized clinical trials.

PubMed

Zhang, Biao

2017-01-01

In individually randomized controlled trials, in addition to the primary outcome, information is often available on a number of covariates prior to randomization. This information is frequently utilized to undertake adjustment for baseline characteristics in order to increase precision of the estimation of average treatment effects; such adjustment is usually performed via covariate adjustment in outcome regression models. Although the use of covariate adjustment is widely seen as desirable for making treatment effect estimates more precise and the corresponding hypothesis tests more powerful, there are considerable concerns that objective inference in randomized clinical trials can potentially be compromised. In this paper, we study an empirical likelihood approach to covariate adjustment and propose two unbiased estimating functions that automatically decouple evaluation of average treatment effects from regression modeling of covariate-outcome relationships. The resulting empirical likelihood estimator of the average treatment effect is as efficient as the existing efficient adjusted estimators 1 when separate treatment-specific working regression models are correctly specified, yet are at least as efficient as the existing efficient adjusted estimators 1 for any given treatment-specific working regression models whether or not they coincide with the true treatment-specific covariate-outcome relationships. We present a simulation study to compare the finite sample performance of various methods along with some results on analysis of a data set from an HIV clinical trial. The simulation results indicate that the proposed empirical likelihood approach is more efficient and powerful than its competitors when the working covariate-outcome relationships by treatment status are misspecified.

Speech Recognition as a Transcription Aid: A Randomized Comparison With Standard Transcription

PubMed Central

Mohr, David N.; Turner, David W.; Pond, Gregory R.; Kamath, Joseph S.; De Vos, Cathy B.; Carpenter, Paul C.

2003-01-01

Objective. Speech recognition promises to reduce information entry costs for clinical information systems. It is most likely to be accepted across an organization if physicians can dictate without concerning themselves with real-time recognition and editing; assistants can then edit and process the computer-generated document. Our objective was to evaluate the use of speech-recognition technology in a randomized controlled trial using our institutional infrastructure. Design. Clinical note dictations from physicians in two specialty divisions were randomized to either a standard transcription process or a speech-recognition process. Secretaries and transcriptionists also were assigned randomly to each of these processes. Measurements. The duration of each dictation was measured. The amount of time spent processing a dictation to yield a finished document also was measured. Secretarial and transcriptionist productivity, defined as hours of secretary work per minute of dictation processed, was determined for speech recognition and standard transcription. Results. Secretaries in the endocrinology division were 87.3% (confidence interval, 83.3%, 92.3%) as productive with the speech-recognition technology as implemented in this study as they were using standard transcription. Psychiatry transcriptionists and secretaries were similarly less productive. Author, secretary, and type of clinical note were significant (p < 0.05) predictors of productivity. Conclusion. When implemented in an organization with an existing document-processing infrastructure (which included training and interfaces of the speech-recognition editor with the existing document entry application), speech recognition did not improve the productivity of secretaries or transcriptionists. PMID:12509359

Patient engagement in clinical communication: an exploratory study.

PubMed

Chaboyer, Wendy; McMurray, Anne; Marshall, Andrea; Gillespie, Brigid; Roberts, Shelley; Hutchinson, Alison M; Botti, Mari; McTier, Lauren; Rawson, Helen; Bucknall, Tracey

2016-09-01

Existing practice strategies for actively involving patients in care during hospitalisation are poorly understood. The aim of this study was to explore how healthcare professionals engaged patients in communication associated with care transitions. An instrumental, collective case study approach was used to generate empirical data about patient transitions in care. A purposive sample of key stakeholders representing (i) patients and their families; (ii) hospital discharge planning team members; and (iii) healthcare professionals was recruited in five Australian health services. Individual and group semi-structured interviews were conducted to elicit detailed explanations of patient engagement in transition planning. Interviews lasted between 30 and 60 minutes and were digitally recorded and transcribed verbatim. Data collection and analysis were conducted simultaneously and continued until saturation was achieved. Thematic analysis was undertaken. Five themes emerged as follows: (i) organisational commitment to patient engagement; (ii) the influence of hierarchical culture and professional norms on patient engagement; (iii) condoning individual healthcare professionals' orientations and actions; (iv) understanding and negotiating patient preferences; and (v) enacting information sharing and communication strategies. Most themes illustrated how patient engagement was enabled; however, barriers also existed. Our findings show that strong organisational and professional commitment to patient-centred care throughout the organisation was a consistent feature of health services that actively engaged patients in clinical communication. Understanding patients' needs and preferences and having both formal and informal strategies to engage patients in clinical communication were important in how this involvement occurred. © 2016 Nordic College of Caring Science.

Development and initial evaluation of the Clinical Information Systems Success Model (CISSM).

PubMed

Garcia-Smith, Dianna; Effken, Judith A

2013-06-01

Most clinical information systems (CIS) today are technically sound, but the number of successful implementations of these systems is low. The purpose of this study was to develop and test a theoretically based integrated CIS Success Model (CISSM) from the nurse perspective. Model predictors of CIS success were taken from existing research on information systems acceptance, user satisfaction, use intention, user behavior and perceptions, as well as clinical research. Data collected online from 234 registered nurses in four hospitals were used to test the model. Each nurse had used the Cerner Power Chart Admission Health Profile for at least 3 months. Psychometric testing and factor analysis of the 23-item CISSM instrument established its construct validity and reliability. Initial analysis showed nurses' satisfaction with and dependency on CIS use predicted their perceived CIS use Net Benefit. Further analysis identified Social Influence and Facilitating Conditions as other predictors of CIS user Net Benefit. The level of hospital CIS integration may account for the role of CIS Use Dependency in the success of CIS. Based on our experience, CISSM provides a formative as well as summative tool for evaluating CIS success from the nurse's perspective. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Clinical evidence supporting pharmacogenomic biomarker testing provided in US Food and Drug Administration drug labels.

PubMed

Wang, Bo; Canestaro, William J; Choudhry, Niteesh K

2014-12-01

Genetic biomarkers that predict a drug's efficacy or likelihood of toxicity are assuming increasingly important roles in the personalization of pharmacotherapy, but concern exists that evidence that links use of some biomarkers to clinical benefit is insufficient. Nevertheless, information about the use of biomarkers appears in the labels of many prescription drugs, which may add confusion to the clinical decision-making process. To evaluate the evidence that supports pharmacogenomic biomarker testing in drug labels and how frequently testing is recommended. Publicly available US Food and Drug Administration databases. We identified drug labels that described the use of a biomarker and evaluated whether the label contained or referenced convincing evidence of its clinical validity (ie, the ability to predict phenotype) and clinical utility (ie, the ability to improve clinical outcomes) using guidelines published by the Evaluation of Genomic Applications in Practice and Prevention Working Group. We graded the completeness of the citation of supporting studies and determined whether the label recommended incorporation of biomarker test results in therapeutic decision making. Of the 119 drug-biomarker combinations, only 43 (36.1%) had labels that provided convincing clinical validity evidence, whereas 18 (15.1%) provided convincing evidence of clinical utility. Sixty-one labels (51.3%) made recommendations about how clinical decisions should be based on the results of a biomarker test; 36 (30.3%) of these contained convincing clinical utility data. A full description of supporting studies was included in 13 labels (10.9%). Fewer than one-sixth of drug labels contained or referenced convincing evidence of clinical utility of biomarker testing, whereas more than half made recommendations based on biomarker test results. It may be premature to include biomarker testing recommendations in drug labels when convincing data that link testing to patient outcomes do not exist.

Collecting, Integrating, and Disseminating Patient-Reported Outcomes for Research in a Learning Healthcare System

PubMed Central

Harle, Christopher A.; Lipori, Gloria; Hurley, Robert W.

2016-01-01

Introduction: Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems. Case Description: The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center. The system incorporates freely available and commercial software and involves clinical and research workflows that support the collection, transformation, and research use of PRO data. The software and processes that comprise the system serve three main functions, (i) collecting electronic PROs in clinical care, (ii) integrating PRO data with non-patient generated clinical data, and (iii) disseminating data to researchers through the institution’s research informatics infrastructure, including the i2b2 (Informatics for Integrating Biology and the Bedside) system. Strategies: Our successful design and implementation was driven by three overarching strategies. First, we selected and implemented multiple interfaced technologies to support PRO collection, management, and research use. Second, we aimed to use standardized approaches to measuring PROs, sending PROs between systems, and disseminating PROs. Finally, we focused on using technologies and processes that aligned with existing clinical research information management strategies within our organization. Conclusion: These experiences and lessons may help future implementers and researchers enhance the scale and sustainable use of systems for research use of PROs. PMID:27563683

Collecting, Integrating, and Disseminating Patient-Reported Outcomes for Research in a Learning Healthcare System.

PubMed

Harle, Christopher A; Lipori, Gloria; Hurley, Robert W

2016-01-01

Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems. The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center. The system incorporates freely available and commercial software and involves clinical and research workflows that support the collection, transformation, and research use of PRO data. The software and processes that comprise the system serve three main functions, (i) collecting electronic PROs in clinical care, (ii) integrating PRO data with non-patient generated clinical data, and (iii) disseminating data to researchers through the institution's research informatics infrastructure, including the i2b2 (Informatics for Integrating Biology and the Bedside) system. Our successful design and implementation was driven by three overarching strategies. First, we selected and implemented multiple interfaced technologies to support PRO collection, management, and research use. Second, we aimed to use standardized approaches to measuring PROs, sending PROs between systems, and disseminating PROs. Finally, we focused on using technologies and processes that aligned with existing clinical research information management strategies within our organization. These experiences and lessons may help future implementers and researchers enhance the scale and sustainable use of systems for research use of PROs.

Privacy Issues in the Development of a Virtual Mental Health Clinic for University Students: A Qualitative Study.

PubMed

Gulliver, Amelia; Bennett, Kylie; Bennett, Anthony; Farrer, Louise M; Reynolds, Julia; Griffiths, Kathleen M

2015-01-01

There is a growing need to develop online services for university students with the capacity to complement existing services and efficiently address student mental health problems. Previous research examining the development and acceptability of online interventions has revealed that issues such as privacy critically impact user willingness to engage with these services. To explore university student perspectives on privacy issues related to using an online mental health service within the context of the development of an online, university-based virtual mental health clinic. There were two stages of data collection. The first stage consisted of four 1.5-hour focus groups conducted with university students (n=19; 10 female, 9 male, mean age = 21.6 years) to determine their ideas about the virtual clinic including privacy issues. The second stage comprised three 1-hour prototype testing sessions conducted with university students (n=6; 3 male, 3 female, mean age = 21.2 years) using participatory design methods to develop and refine a service model for the virtual clinic and determine student views on privacy within this context. The students raised a number of issues related to privacy in relation to the development of the university virtual clinic. Major topics included the types of personal information they would be willing to provide (minimal information and optional mental health data), concern about potential access to their personal data by the university, the perceived stigma associated with registering for the service, and privacy and anonymity concerns related to online forums contained within the virtual clinic. Students would be more comfortable providing personal information and engaging with the virtual clinic if they trust the privacy and security of the service. Implications of this study include building the clinic in a flexible way to accommodate user preferences.

The P Value Problem in Otolaryngology: Shifting to Effect Sizes and Confidence Intervals.

PubMed

Vila, Peter M; Townsend, Melanie Elizabeth; Bhatt, Neel K; Kao, W Katherine; Sinha, Parul; Neely, J Gail

2017-06-01

There is a lack of reporting effect sizes and confidence intervals in the current biomedical literature. The objective of this article is to present a discussion of the recent paradigm shift encouraging the use of reporting effect sizes and confidence intervals. Although P values help to inform us about whether an effect exists due to chance, effect sizes inform us about the magnitude of the effect (clinical significance), and confidence intervals inform us about the range of plausible estimates for the general population mean (precision). Reporting effect sizes and confidence intervals is a necessary addition to the biomedical literature, and these concepts are reviewed in this article.

Bursting the Information Bubble: Identifying Opportunities for Pediatric Patient-Centered Technology

PubMed Central

Miller, Andrew D; Pollack, Ari H; Pratt, Wanda

2016-01-01

Although hospital care is carefully documented and that information is electronically available to clinicians, few information systems exist for patients and their families to use while they are in the hospital. Information often appears trapped within the hospital room. In this paper, we present findings from three participatory design sessions that we conducted with former patients, their parents, and clinicians from a large children’s hospital. Participants discussed challenges they faced getting information while in the hospital, and then designed possible technological solutions. Participants designed technologies aimed at extending parents’ access to and involvement in patients’ care. Their designs showed opportunities for health informatics within and beyond the children’s hospital room: to allow parents and children to disseminate information from within, access information from the hospital room remotely, establish pervasive and collaborative communication with the clinical care team, and learn about their child’s care throughout the hospital stay. PMID:28269886

Bursting the Information Bubble: Identifying Opportunities for Pediatric Patient-Centered Technology.

PubMed

Miller, Andrew D; Pollack, Ari H; Pratt, Wanda

2016-01-01

Although hospital care is carefully documented and that information is electronically available to clinicians, few information systems exist for patients and their families to use while they are in the hospital. Information often appears trapped within the hospital room. In this paper, we present findings from three participatory design sessions that we conducted with former patients, their parents, and clinicians from a large children's hospital. Participants discussed challenges they faced getting information while in the hospital, and then designed possible technological solutions. Participants designed technologies aimed at extending parents' access to and involvement in patients' care. Their designs showed opportunities for health informatics within and beyond the children's hospital room: to allow parents and children to disseminate information from within, access information from the hospital room remotely, establish pervasive and collaborative communication with the clinical care team, and learn about their child's care throughout the hospital stay.

Mining functionally relevant gene sets for analyzing physiologically novel clinical expression data.

PubMed

Turcan, Sevin; Vetter, Douglas E; Maron, Jill L; Wei, Xintao; Slonim, Donna K

2011-01-01

Gene set analyses have become a standard approach for increasing the sensitivity of transcriptomic studies. However, analytical methods incorporating gene sets require the availability of pre-defined gene sets relevant to the underlying physiology being studied. For novel physiological problems, relevant gene sets may be unavailable or existing gene set databases may bias the results towards only the best-studied of the relevant biological processes. We describe a successful attempt to mine novel functional gene sets for translational projects where the underlying physiology is not necessarily well characterized in existing annotation databases. We choose targeted training data from public expression data repositories and define new criteria for selecting biclusters to serve as candidate gene sets. Many of the discovered gene sets show little or no enrichment for informative Gene Ontology terms or other functional annotation. However, we observe that such gene sets show coherent differential expression in new clinical test data sets, even if derived from different species, tissues, and disease states. We demonstrate the efficacy of this method on a human metabolic data set, where we discover novel, uncharacterized gene sets that are diagnostic of diabetes, and on additional data sets related to neuronal processes and human development. Our results suggest that our approach may be an efficient way to generate a collection of gene sets relevant to the analysis of data for novel clinical applications where existing functional annotation is relatively incomplete.

Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation.

PubMed

Linan, Margaret K; Sottara, Davide; Freimuth, Robert R

2015-01-01

Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines.

Wise Additions Bridge the Gap between Social Psychology and Clinical Practice: Cognitive-Behavioral Therapy as an Exemplar

PubMed Central

Folk, Johanna B.; Disabato, David J.; Goodman, Fallon R.; Carter, Sarah P.; DiMauro, Jennifer C.; Riskind, John H.

2017-01-01

Progress in clinical science, theory, and practice requires the integration of advances from multiple fields of psychology, but much integration remains to be done. The current article seeks to address the specific gap that exists between basic social psychological theories and the implementation of related therapeutic techniques. We propose several “wise additions,” based upon the principles outlined by Walton (2014), intended to bridge current social psychological research with clinical psychological therapeutic practice using cognitive behavioral therapy as an example. We consider how recent advances in social psychological theories can inform the development and implementation of wise additions in clinical case conceptualization and interventions. We specifically focus on self and identity, self-affirmation, transference, social identity, and embodied cognition, five dominant areas of interest in the field that have clear clinical applications. PMID:28919701

World Workshop on Oral Medicine VI: an international validation study of clinical competencies for advanced training in oral medicine.

PubMed

Steele, John C; Clark, Hadleigh J; Hong, Catherine H L; Jurge, Sabine; Muthukrishnan, Arvind; Kerr, A Ross; Wray, David; Prescott-Clements, Linda; Felix, David H; Sollecito, Thomas P

2015-08-01

To explore international consensus for the validation of clinical competencies for advanced training in Oral Medicine. An electronic survey of clinical competencies was designed. The survey was sent to and completed by identified international stakeholders during a 10-week period. To be validated, an individual competency had to achieve 90% or greater consensus to keep it in its current format. Stakeholders from 31 countries responded. High consensus agreement was achieved with 93 of 101 (92%) competencies exceeding the benchmark for agreement. Only 8 warranted further attention and were reviewed by a focus group. No additional competencies were suggested. This is the first international validated study of clinical competencies for advanced training in Oral Medicine. These validated clinical competencies could provide a model for countries developing an advanced training curriculum for Oral Medicine and also inform review of existing curricula. Copyright © 2015 Elsevier Inc. All rights reserved.

Bionic limbs: clinical reality and academic promises.

PubMed

Farina, Dario; Aszmann, Oskar

2014-10-08

Three recent articles in Science Translational Medicine (Tan et al. and Ortiz-Catalan et al., this issue; Raspopovic et al., 5 Feb 2014 issue, 222ra19) present neuroprosthetic systems in which sensory information is delivered through direct nerve stimulation while controlling an action of the prosthesis--in all three cases, arm and hand movement. We discuss such sensory-motor integration and other key issues in prosthetic reconstruction, with an emphasis on the gap existing between clinically available systems and more advanced, custom-designed academic systems. In the near future, osseointegration, implanted muscle, and nerve electrodes for decoding and stimulation may be components of prosthetic systems for clinical use, available to a large patient population. Copyright © 2014, American Association for the Advancement of Science.

Development of a consensus core dataset in juvenile dermatomyositis for clinical use to inform research.

PubMed

McCann, Liza J; Pilkington, Clarissa A; Huber, Adam M; Ravelli, Angelo; Appelbe, Duncan; Kirkham, Jamie J; Williamson, Paula R; Aggarwal, Amita; Christopher-Stine, Lisa; Constantin, Tamas; Feldman, Brian M; Lundberg, Ingrid; Maillard, Sue; Mathiesen, Pernille; Murphy, Ruth; Pachman, Lauren M; Reed, Ann M; Rider, Lisa G; van Royen-Kerkof, Annet; Russo, Ricardo; Spinty, Stefan; Wedderburn, Lucy R; Beresford, Michael W

2018-02-01

This study aimed to develop consensus on an internationally agreed dataset for juvenile dermatomyositis (JDM), designed for clinical use, to enhance collaborative research and allow integration of data between centres. A prototype dataset was developed through a formal process that included analysing items within existing databases of patients with idiopathic inflammatory myopathies. This template was used to aid a structured multistage consensus process. Exploiting Delphi methodology, two web-based questionnaires were distributed to healthcare professionals caring for patients with JDM identified through email distribution lists of international paediatric rheumatology and myositis research groups. A separate questionnaire was sent to parents of children with JDM and patients with JDM, identified through established research networks and patient support groups. The results of these parallel processes informed a face-to-face nominal group consensus meeting of international myositis experts, tasked with defining the content of the dataset. This developed dataset was tested in routine clinical practice before review and finalisation. A dataset containing 123 items was formulated with an accompanying glossary. Demographic and diagnostic data are contained within form A collected at baseline visit only, disease activity measures are included within form B collected at every visit and disease damage items within form C collected at baseline and annual visits thereafter. Through a robust international process, a consensus dataset for JDM has been formulated that can capture disease activity and damage over time. This dataset can be incorporated into national and international collaborative efforts, including existing clinical research databases. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.

PubMed

Chen, Jonathan H; Alagappan, Muthuraman; Goldstein, Mary K; Asch, Steven M; Altman, Russ B

2017-06-01

Determine how varying longitudinal historical training data can impact prediction of future clinical decisions. Estimate the "decay rate" of clinical data source relevance. We trained a clinical order recommender system, analogous to Netflix or Amazon's "Customers who bought A also bought B..." product recommenders, based on a tertiary academic hospital's structured electronic health record data. We used this system to predict future (2013) admission orders based on different subsets of historical training data (2009 through 2012), relative to existing human-authored order sets. Predicting future (2013) inpatient orders is more accurate with models trained on just one month of recent (2012) data than with 12 months of older (2009) data (ROC AUC 0.91 vs. 0.88, precision 27% vs. 22%, recall 52% vs. 43%, all P<10 -10 ). Algorithmically learned models from even the older (2009) data was still more effective than existing human-authored order sets (ROC AUC 0.81, precision 16% recall 35%). Training with more longitudinal data (2009-2012) was no better than using only the most recent (2012) data, unless applying a decaying weighting scheme with a "half-life" of data relevance about 4 months. Clinical practice patterns (automatically) learned from electronic health record data can vary substantially across years. Gold standards for clinical decision support are elusive moving targets, reinforcing the need for automated methods that can adapt to evolving information. Prioritizing small amounts of recent data is more effective than using larger amounts of older data towards future clinical predictions. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Genetic testing of aetiology of intellectual disability in a dedicated physical healthcare outpatient clinic for adults with intellectual disability.

PubMed

Wallace, R A

2016-02-01

No guidelines exist for assessment of aetiology of intellectual disability in adults with intellectual disability by adult physicians, although robust guidelines exist for paediatric populations. It was speculated that the paediatric guidelines would also be suitable for adults. In rural/regional setting with limited clinical genetics, to perform a quality assurance evaluation on genetics assessment of aetiology of developmental disability in adults attending a dedicated healthcare clinic for adults with intellectual disability, compared results with paediatric standards, speculates if these seem appropriate for adults and speculates on a role for clinical genetics services. Retrospective chart audit of eligible patients looking at genetic clinical assessment, tests selected (molecular karyotype, G banding, metabolics), and yields of positive results. The results were compared with the recommended paediatric guidelines. Of 117 eligible adult patients, ideal genetic history was incomplete for 40% of patients without Down syndrome because of physician cause and lack of information. The number of abnormal genetic results increased from 46% to 66%, mainly from the molecular karyotype, though not all may have been clinically relevant. The improved yield from this test was similar to that in paediatric studies. Use of G banding and metabolic testing could be refined. Improvement can be made in clinical genetic assessment, but results generally support use of molecular karyotyping as first tier testing of cause of unknown intellectual disability in adults, as in the case for paediatric populations. The study highlights a necessary complementary role for clinical geneticists to interpret abnormal results. © 2016 Royal Australasian College of Physicians.

Optimizing information technology to improve sexual health-care delivery: public and patient preferences.

PubMed

Ross, J D C; Copas, A; Stephenson, J; Fellows, L; Gilleran, G

2007-07-01

Information and communication technology (ICT) has the potential to improve the quality of care and efficiency in sexual health clinics, but its introduction requires input not only from health-care professionals and ICT specialists but also from service users and potential future users. In this study, views on ICT in relation to the delivery of sexual health services were assessed using a structured interview in two groups - a community sample of young people and a clinic sample of existing patients. In all, 542 community interviewees and 202 clinic patients participated. About 75% of respondents had access to the Internet and overall 60% reported that the self-collection of a sexual history on an electronic form was acceptable. Black Caribbean individuals had significantly less access to the Internet and a lower acceptance of electronic data collection. For booking an appointment, the majority of patients reported the telephone (community sample 93%, clinic sample 96%) or attending in person (community sample 77%, clinic sample 54%) to be acceptable, with a smaller proportion choosing email (community sample 10%, clinic sample 27%) or the Internet (community sample 7%, clinic sample 11%). Electronic booking was significantly less acceptable to Black Caribbean respondents. Although new technologies offer the opportunity to improve the quality of sexual health services, patient preferences and differences between groups in access to technology also need to be considered when services are reconfigured.

Expert searcher, teacher, content manager, and patient advocate: an exploratory study of clinical librarian roles

PubMed Central

Tan, Maria C.; Maggio, Lauren A.

2013-01-01

Objective: The research explored the roles of practicing clinical librarians embedded in a patient care team. Methods: Six clinical librarians from Canada and one from the United States were interviewed to elicit detailed descriptions of their clinical roles and responsibilities and the context in which these were performed. Results: Participants were embedded in a wide range of clinical service areas, working with a diverse complement of health professionals. As clinical librarians, participants wore many hats, including expert searcher, teacher, content manager, and patient advocate. Unique aspects of how these roles played out included a sense of urgency surrounding searching activities, the broad dissemination of responses to clinical questions, and leverage of the roles of expert searcher, teacher, and content manager to advocate for patients. Conclusions: Detailed role descriptions of clinical librarians embedded in patient care teams suggest possible new practices for existing clinical librarians, provide direction for training new librarians working in patient care environments, and raise awareness of the clinical librarian specialty among current and budding health information professionals. PMID:23405048

Phage-mediated Shiga toxin (Stx) horizontal gene transfer and expression in non-Shiga toxigenic Enterobacter and Escherichia coli strains

USDA-ARS?s Scientific Manuscript database

M12X01451, an Enterobacter cloacae strain recently identified from a clinical specimen, produces a new Stx1e that was not neutralized by existing anti-Stx1 monoclonal antibodies. Acquisition of stx by Ent. cloacae is rare and information regarding the origin and stability of the stx1e in M12X01451 i...

Candida bloodstream infection: a clinical microbiology laboratory perspective.

PubMed

Pongrácz, Júlia; Kristóf, Katalin

2014-09-01

The incidence of Candida bloodstream infection (BSI) has been on the rise in several countries worldwide. Species distribution is changing; an increase in the percentage of non-albicans species, mainly fluconazole non-susceptible C. glabrata was reported. Existing microbiology diagnostic methods lack sensitivity, and new methods need to be developed or further evaluation for routine application is necessary. Although reliable, standardized methods for antifungal susceptibility testing are available, the determination of clinical breakpoints remains challenging. Correct species identification is important and provides information on the intrinsic susceptibility profile of the isolate. Currently, acquired resistance in clinical Candida isolates is rare, but reports indicate that it could be an issue in the future. The role of the clinical microbiology laboratory is to isolate and correctly identify the infective agent and provide relevant and reliable susceptibility data as soon as possible to guide antifungal therapy.

Knowledge engineering for health: a new discipline required to bridge the "ICT gap" between research and healthcare.

PubMed

Beck, Tim; Gollapudi, Sirisha; Brunak, Søren; Graf, Norbert; Lemke, Heinz U; Dash, Debasis; Buchan, Iain; Díaz, Carlos; Sanz, Ferran; Brookes, Anthony J

2012-05-01

Despite vast amount of money and research being channeled toward biomedical research, relatively little impact has been made on routine clinical practice. At the heart of this failure is the information and communication technology "chasm" that exists between research and healthcare. A new focus on "knowledge engineering for health" is needed to facilitate knowledge transmission across the research-healthcare gap. This discipline is required to engineer the bidirectional flow of data: processing research data and knowledge to identify clinically relevant advances and delivering these into healthcare use; conversely, making outcomes from the practice of medicine suitably available for use by the research community. This system will be able to self-optimize in that outcomes for patients treated by decisions that were based on the latest research knowledge will be fed back to the research world. A series of meetings, culminating in the "I-Health 2011" workshop, have brought together interdisciplinary experts to map the challenges and requirements for such a system. Here, we describe the main conclusions from these meetings. An "I4Health" interdisciplinary network of experts now exists to promote the key aims and objectives, namely "integrating and interpreting information for individualized healthcare," by developing the "knowledge engineering for health" domain. © 2012 Wiley Periodicals, Inc.

A systematic review of administrative and clinical databases of infants admitted to neonatal units.

PubMed

Statnikov, Yevgeniy; Ibrahim, Buthaina; Modi, Neena

2017-05-01

High quality information, increasingly captured in clinical databases, is a useful resource for evaluating and improving newborn care. We conducted a systematic review to identify neonatal databases, and define their characteristics. We followed a preregistered protocol using MesH terms to search MEDLINE, EMBASE, CINAHL, Web of Science and OVID Maternity and Infant Care Databases for articles identifying patient level databases covering more than one neonatal unit. Full-text articles were reviewed and information extracted on geographical coverage, criteria for inclusion, data source, and maternal and infant characteristics. We identified 82 databases from 2037 publications. Of the country-specific databases there were 39 regional and 39 national. Sixty databases restricted entries to neonatal unit admissions by birth characteristic or insurance cover; 22 had no restrictions. Data were captured specifically for 53 databases; 21 administrative sources; 8 clinical sources. Two clinical databases hold the largest range of data on patient characteristics, USA's Pediatrix BabySteps Clinical Data Warehouse and UK's National Neonatal Research Database. A number of neonatal databases exist that have potential to contribute to evaluating neonatal care. The majority is created by entering data specifically for the database, duplicating information likely already captured in other administrative and clinical patient records. This repetitive data entry represents an unnecessary burden in an environment where electronic patient records are increasingly used. Standardisation of data items is necessary to facilitate linkage within and between countries. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Core Standards of the EUBIROD Project. Defining a European Diabetes Data Dictionary for Clinical Audit and Healthcare Delivery.

PubMed

Cunningham, S G; Carinci, F; Brillante, M; Leese, G P; McAlpine, R R; Azzopardi, J; Beck, P; Bratina, N; Bocquet, V; Doggen, K; Jarosz-Chobot, P K; Jecht, M; Lindblad, U; Moulton, T; Metelko, Ž; Nagy, A; Olympios, G; Pruna, S; Skeie, S; Storms, F; Di Iorio, C T; Massi Benedetti, M

2016-01-01

A set of core diabetes indicators were identified in a clinical review of current evidence for the EUBIROD project. In order to allow accurate comparisons of diabetes indicators, a standardised currency for data storage and aggregation was required. We aimed to define a robust European data dictionary with appropriate clinical definitions that can be used to analyse diabetes outcomes and provide the foundation for data collection from existing electronic health records for diabetes. Existing clinical datasets used by 15 partner institutions across Europe were collated and common data items analysed for consistency in terms of recording, data definition and units of measurement. Where necessary, data mappings and algorithms were specified in order to allow partners to meet the standard definitions. A series of descriptive elements were created to document metadata for each data item, including recording, consistency, completeness and quality. While datasets varied in terms of consistency, it was possible to create a common standard that could be used by all. The minimum dataset defined 53 data items that were classified according to their feasibility and validity. Mappings and standardised definitions were used to create an electronic directory for diabetes care, providing the foundation for the EUBIROD data analysis repository, also used to implement the diabetes registry and model of care for Cyprus. The development of data dictionaries and standards can be used to improve the quality and comparability of health information. A data dictionary has been developed to be compatible with other existing data sources for diabetes, within and beyond Europe.

Diagnostic Pathology and Laboratory Medicine in the Age of “Omics”

PubMed Central

Finn, William G.

2007-01-01

Functional genomics and proteomics involve the simultaneous analysis of hundreds or thousands of expressed genes or proteins and have spawned the modern discipline of computational biology. Novel informatic applications, including sophisticated dimensionality reduction strategies and cancer outlier profile analysis, can distill clinically exploitable biomarkers from enormous experimental datasets. Diagnostic pathologists are now charged with translating the knowledge generated by the “omics” revolution into clinical practice. Food and Drug Administration-approved proprietary testing platforms based on microarray technologies already exist and will expand greatly in the coming years. However, for diagnostic pathology, the greatest promise of the “omics” age resides in the explosion in information technology (IT). IT applications allow for the digitization of histological slides, transforming them into minable data and enabling content-based searching and archiving of histological materials. IT will also allow for the optimization of existing (and often underused) clinical laboratory technologies such as flow cytometry and high-throughput core laboratory functions. The state of pathology practice does not always keep up with the pace of technological advancement. However, to use fully the potential of these emerging technologies for the benefit of patients, pathologists and clinical scientists must embrace the changes and transformational advances that will characterize this new era. PMID:17652635

Characteristics of nurses and hospital work environments that foster satisfaction and clinical expertise.

PubMed

Foley, Barbara Jo; Kee, Carolyn C; Minick, Ptlene; Harvey, Susan S; Jennings, Bonnie M

2002-05-01

The purpose of this aspect of a larger study was to describe characteristics of nurses and their work environment at two military hospitals. Few studies have explored characteristics among nurses who practice in military hospitals. There is reason to believe that differences exist between nurses who work in military and civilian hospitals, some of which are required educational level, leadership experience, officer status, and career development opportunities. A descriptive design was used to address how military and civilian nurses who work in military hospitals describe their autonomy, control over practice, nurse-physician collaboration, and clinical expertise and what relationships exist among these variables. Scores on autonomy, control over practice, and nurse-physician relationships all were above midpoint for all respondents as a group, indicating positive work environments in both of the military hospitals studied. Scores from the clinical expertise instrument were well above midpoint, indicating a desirable level of clinical expertise. These findings all reflect favorably on the military hospital work environment. This information will help to make a case for instituting or preserving those nursing processes that are effective and for identifying and working to change nursing processes that are not effective. Nurses will benefit by having a more collaborative work environment.

Strategies for Supporting Physician-Scientists in Faculty Roles: A Narrative Review With Key Informant Consultations.

PubMed

Lingard, Lorelei; Zhang, Peter; Strong, Michael; Steele, Margaret; Yoo, John; Lewis, James

2017-10-01

Physician-scientists are a population in decline globally. Solutions to reverse this decline often have focused on the training pipeline. Less attention has been paid to reducing attrition post training, when physician-scientists take up faculty roles. However, this period is a known time of vulnerability because of the pressures of clinical duties and the long timeline to securing independent research funding. This narrative review explored existing knowledge regarding how best to support physician-scientists for success in their faculty roles. The authors searched the Medline, Embase, ERIC, and Cochrane Library databases for articles published from 2000 to 2016 on this topic and interviewed key informants in 2015 to solicit their input on the review results. The authors reviewed 78 articles and interviewed 16 key informants. From the literature, they developed a framework of organizational (facilitate mentorship, foster community, value the physician-scientist role, minimize financial barriers) and individual (develop professional and research skills) strategies for supporting physician-scientists. They also outlined key knowledge gaps representing topics either rarely or never addressed in the reviewed articles (percent research time, structural hypocrisy, objective assessment, group metrics, professional identity). The key informants confirmed the identified strategies and discussed how the gaps were particularly important and impactful. This framework offers a basis for assessing an organization's existing support strategies, identifying outstanding needs, and developing targeted programming. The identified gaps require attention, as they threaten to undermine the benefits of existing support strategies.

Health information technology needs help from primary care researchers.

PubMed

Krist, Alex H; Green, Lee A; Phillips, Robert L; Beasley, John W; DeVoe, Jennifer E; Klinkman, Michael S; Hughes, John; Puro, Jon; Fox, Chester H; Burdick, Tim

2015-01-01

While health information technology (HIT) efforts are beginning to yield measurable clinical benefits, more is needed to meet the needs of patients and clinicians. Primary care researchers are uniquely positioned to inform the evidence-based design and use of technology. Research strategies to ensure success include engaging patient and clinician stakeholders, working with existing practice-based research networks, and using established methods from other fields such as human factors engineering and implementation science. Policies are needed to help support primary care researchers in evaluating and implementing HIT into everyday practice, including expanded research funding, strengthened partnerships with vendors, open access to information systems, and support for the Primary Care Extension Program. Through these efforts, the goal of improved outcomes through HIT can be achieved. © Copyright 2015 by the American Board of Family Medicine.

The IGNITE network: a model for genomic medicine implementation and research.

PubMed

Weitzel, Kristin Wiisanen; Alexander, Madeline; Bernhardt, Barbara A; Calman, Neil; Carey, David J; Cavallari, Larisa H; Field, Julie R; Hauser, Diane; Junkins, Heather A; Levin, Phillip A; Levy, Kenneth; Madden, Ebony B; Manolio, Teri A; Odgis, Jacqueline; Orlando, Lori A; Pyeritz, Reed; Wu, R Ryanne; Shuldiner, Alan R; Bottinger, Erwin P; Denny, Joshua C; Dexter, Paul R; Flockhart, David A; Horowitz, Carol R; Johnson, Julie A; Kimmel, Stephen E; Levy, Mia A; Pollin, Toni I; Ginsburg, Geoffrey S

2016-01-05

Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility. To address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org ) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches. This paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years. The IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.

Analyzing international clinical education practices for Canadian rehabilitation students.

PubMed

Ahluwalia, Puja; Cameron, Debra; Cockburn, Lynn; Ellwood, Lynn; Mori, Brenda; Nixon, Stephanie A

2014-09-09

Clinical training in low-income countries has become increasingly popular among pre-licensure trainees from high-income countries. The Working Group on Ethics Guidelines for Global Health Training ("WEIGHT Guidelines") were designed to identify and inform the complex and contentious field of international clinical education. The purpose of this study was to use the WEIGHT Guidelines to evaluate an international clinical internship programme for Master's-level rehabilitation students at a Canadian university. In-depth, semi-structured interviews were conducted with eight Canadian rehabilitation researchers, educations and/or clinicians responsible for administering international internships across three clinical training programmes. Interview questions were informed by the WEIGHT Guidelines. Directed content analysis was used to identify priorities for policy, practice and research. Five themes relating to strengthening international clinical education were identified: (1) from one-time internships to long-term partnerships, (2) starting a discussion about "costs", (3) a more informed approach to student selection, (4) expanding and harmonizing pre-departure training across disciplines, and (5) investing in post-internship debriefing. International clinical education is fraught with ethical, pedagogical and logistical issues that require recognition and ongoing management. This is the first study to use the WEIGHT Guidelines as a qualitative research tool for assessing an existing global health education programme. Results highlight new priorities for action at the Canadian "sending institution", including more explicit attention to the costs (broadly defined) borne by all parties. A crucial next step is deepened engagement with educational partners at the "receiving organizations" based in low-income countries to nurture dialogue regarding reciprocity, trust and sustainability of the partnership. Education research is also needed that evaluates models of pre-departure training and post-internship debriefing for trainees.

Location of core diagnostic information across various sequences in brain MRI and implications for efficiency of MRI scanner utilization.

PubMed

Sharma, Aseem; Chatterjee, Arindam; Goyal, Manu; Parsons, Matthew S; Bartel, Seth

2015-04-01

Targeting redundancy within MRI can improve its cost-effective utilization. We sought to quantify potential redundancy in our brain MRI protocols. In this retrospective review, we aggregated 207 consecutive adults who underwent brain MRI and reviewed their medical records to document clinical indication, core diagnostic information provided by MRI, and its clinical impact. Contributory imaging abnormalities constituted positive core diagnostic information whereas absence of imaging abnormalities constituted negative core diagnostic information. The senior author selected core sequences deemed sufficient for extraction of core diagnostic information. For validating core sequences selection, four readers assessed the relative ease of extracting core diagnostic information from the core sequences. Potential redundancy was calculated by comparing the average number of core sequences to the average number of sequences obtained. Scanning had been performed using 9.4±2.8 sequences over 37.3±12.3 minutes. Core diagnostic information was deemed extractable from 2.1±1.1 core sequences, with an assumed scanning time of 8.6±4.8 minutes, reflecting a potential redundancy of 74.5%±19.1%. Potential redundancy was least in scans obtained for treatment planning (14.9%±25.7%) and highest in scans obtained for follow-up of benign diseases (81.4%±12.6%). In 97.4% of cases, all four readers considered core diagnostic information to be either easily extractable from core sequences or the ease to be equivalent to that from the entire study. With only one MRI lacking clinical impact (0.48%), overutilization did not seem to contribute to potential redundancy. High potential redundancy that can be targeted for more efficient scanner utilization exists in brain MRI protocols.

Legal issues concerning electronic health information: privacy, quality, and liability.

PubMed

Hodge, J G; Gostin, L O; Jacobson, P D

1999-10-20

Personally identifiable health information about individuals and general medical information is increasingly available in electronic form in health databases and through online networks. The proliferation of electronic data within the modern health information infrastructure presents significant benefits for medical providers and patients, including enhanced patient autonomy, improved clinical treatment, advances in health research and public health surveillance, and modern security techniques. However, it also presents new legal challenges in 3 interconnected areas: privacy of identifiable health information, reliability and quality of health data, and tortbased liability. Protecting health information privacy (by giving individuals control over health data without severely restricting warranted communal uses) directly improves the quality and reliability of health data (by encouraging individual uses of health services and communal uses of data), which diminishes tort-based liabilities (by reducing instances of medical malpractice or privacy invasions through improvements in the delivery of health care services resulting in part from better quality and reliability of clinical and research data). Following an analysis of the interconnectivity of these 3 areas and discussing existing and proposed health information privacy laws, recommendations for legal reform concerning health information privacy are presented. These include (1) recognizing identifiable health information as highly sensitive, (2) providing privacy safeguards based on fair information practices, (3) empowering patients with information and rights to consent to disclosure (4) limiting disclosures of health data absent consent, (5) incorporating industry-wide security protections, (6) establishing a national data protection authority, and (7) providing a national minimal level of privacy protections.

Using script theory to cultivate illness script formation and clinical reasoning in health professions education.

PubMed

Lubarsky, Stuart; Dory, Valérie; Audétat, Marie-Claude; Custers, Eugène; Charlin, Bernard

2015-01-01

Script theory proposes an explanation for how information is stored in and retrieved from the human mind to influence individuals' interpretation of events in the world. Applied to medicine, script theory focuses on knowledge organization as the foundation of clinical reasoning during patient encounters. According to script theory, medical knowledge is bundled into networks called 'illness scripts' that allow physicians to integrate new incoming information with existing knowledge, recognize patterns and irregularities in symptom complexes, identify similarities and differences between disease states, and make predictions about how diseases are likely to unfold. These knowledge networks become updated and refined through experience and learning. The implications of script theory on medical education are profound. Since clinician-teachers cannot simply transfer their customized collections of illness scripts into the minds of learners, they must create opportunities to help learners develop and fine-tune their own sets of scripts. In this essay, we provide a basic sketch of script theory, outline the role that illness scripts play in guiding reasoning during clinical encounters, and propose strategies for aligning teaching practices in the classroom and the clinical setting with the basic principles of script theory.

An Audit of Diabetes Control and Management (ADCM).

PubMed

Mastura, I; Zanariah, H; Fatanah, I; Feisul Idzwan, M; Wan Shaariah, M Y; Jamaiyah, H; Geeta, A

2008-09-01

Diabetes is a chronic condition that is one of the major causes of illness, disability, and death in Malaysia. Cost in managing diabetes plus indirect cost of lost work, pain, and suffering have all increased. The optimal management of patients with diabetes require the tracking of patients over time to monitor the progression of the disease, compliance with treatment, and preventive care. Diabetes care can be improved by standardizing access to, and improving the use of, clinical information. Access to timely, accurate and well-organized electronic data will improve the quality of care for patients with diabetes. Clinical Research Center convened an expert workshop to forecast how physicians, hospitals and clinics will employ clinical information technology (IT) applications to diabetes care over the next year. Workshop participants included experts from research organizations, government, and the IT vendor. This is a summary of the workshop organised for the purpose of the Audit of Diabetes Control and Management (ADCM) project. We hope to identify the gaps, if any, that exists in delivering diabetes care and to improve the quality of care. In future, we hope to develop an expansion of this project for the Adult Diabetes Registry that will be implemented for the whole country.

Limitations of direct-to-consumer advertising for clinical genetic testing.

PubMed

Gollust, Sarah E; Hull, Sara Chandros; Wilfond, Benjamin S

2002-10-09

Although direct-to-consumer (DTC) advertisements for pharmaceuticals have been appearing in the mass media for 20 years, DTC advertisements for genetic testing have only recently appeared. Advertisements for genetic testing can provide both consumers and physicians with information about test availability in an expanding market. However, 3 factors limit the value and appropriateness of advertisements: complex information, a complicated social context surrounding genetics, and a lack of consensus about the clinical utility of some tests. Consideration of several advertisements suggests that they overstate the value of genetic testing for consumers' clinical care. Furthermore, advertisements may provide misinformation about genetics, exaggerate consumers' risks, endorse a deterministic relationship between genes and disease, and reinforce associations between diseases and ethnic groups. Advertising motivated by factors other than evidence of the clinical value of genetic tests can manipulate consumers' behavior by exploiting their fears and worries. At this time, DTC advertisements are inappropriate, given the public's limited sophistication regarding genetics and the lack of comprehensive premarket review of tests or oversight of advertisement content. Existing Federal Trade Commission and Food and Drug Administration regulations for other types of health-related advertising should be applied to advertisements for genetic tests.

Engaging hard to engage clients: a Q methodological study involving clinical psychologists.

PubMed

Lister, Matthew; Gardner, Damian

2006-09-01

This research uses Q methodology to collate a number of techniques, and to investigate what techniques are used to encourage engagement across a number of clinical psychology specialities. Eleven groups of participants from different clinical specialities were interviewed in order to develop a set of 51 statements reflecting engagement techniques that clinicians felt that they were likely to use with 'hard to engage' clients. Seventy-five participants from a similar range of specialities were then asked to Q sort these statements and provide other demographic information. Forty-four participants returned completed Q sorts which were factor analysed by a tailored program (PQ Method) to investigate how the statements fall into patterns that reflect ways clinicians approach engagement. Varimax rotation produced five factors, four of which were able to be interpreted by participant information and comments. These accounts were taken back to some of the initial participants for 'reflexive correction' (Stainton Rogers, 1995). The four factor patterns are discussed in relation to existing literature and the research questions. These identified factors are: (i) the client focused approach; (ii) the interpersonal professional; (iii) the 'eclectic' or systemic approach; (iv) the expert listener. The implications for training, clinical practice and research are discussed.

Ovarian cancer treatment: The end of empiricism?

PubMed

Lheureux, Stephanie; Karakasis, Katherine; Kohn, Elise C; Oza, Amit M

2015-09-15

The diagnosis, investigation, and management of ovarian cancer are in a state of flux-balancing ever rapid advances in our understanding of its biology with 3 decades of clinical trials. Clinical trials that started with empirically driven selections have evolved in an evidence-informed manner to gradually improve outcome. Has this improved understanding of the biology and associated calls to action led to appropriate changes in therapy? In this review, the authors discuss incorporating emerging data on biology, combinations, dose, and scheduling of new and existing agents with patient preferences in the management of women with ovarian cancer. © 2015 The Authors. American Cancer Society.

How primary care physicians' attitudes toward risk and uncertainty affect their use of electronic information resources.

PubMed

McKibbon, K Ann; Fridsma, Douglas B; Crowley, Rebecca S

2007-04-01

The research sought to determine if primary care physicians' attitudes toward risk taking or uncertainty affected how they sought information and used electronic information resources when answering simulated clinical questions. Using physician-supplied data collected from existing risk and uncertainty scales, twenty-five physicians were classified as risk seekers (e.g., enjoying adventure), risk neutral, or risk avoiders (e.g., cautious) and stressed or unstressed by uncertainty. The physicians then answered twenty-three multiple-choice, clinically focused questions and selected two to pursue further using their own information resources. Think-aloud protocols were used to collect searching process and outcome data (e.g., searching time, correctness of answers, searching techniques). No differences in searching outcomes were observed between the groups. Physicians who were risk avoiding and those who reported stress when faced with uncertainty each showed differences in searching processes (e.g., actively analyzing retrieval, using searching heuristics or rules). Physicians who were risk avoiding tended to use resources that provided answers and summaries, such as Cochrane or UpToDate, less than risk-seekers did. Physicians who reported stress when faced with uncertainty showed a trend toward less frequent use of MEDLINE, when compared with physicians who were not stressed by uncertainty. Physicians' attitudes towards risk taking and uncertainty were associated with different searching processes but not outcomes. Awareness of differences in physician attitudes may be key in successful design and implementation of clinical information resources.

Developing and promoting an intranet site for a drug information service.

PubMed

Costerison, Emily C; Graham, Angie S

2008-04-01

The development and promotion of a drug information service (DIS) intranet site are described. Stanford Hospital and Clinics (SHC) is an acute and tertiary care facility with 613 licensed inpatient beds and 48 outpatient clinics. A DIS intranet site was developed to allow better accessibility to pharmacy forms and products (e.g., drug shortage list, reference guides) and to reduce repetitive requests to the DIS. The goal was to continue to provide information to SHC health care providers but allow the drug information specialist to focus on answering clinical questions. The intranet site was completed over a four-month period. The intranet site was divided into seven webpages: DIS overview, pharmacy and therapeutics, frequently asked questions, quick drug reference guide, ask the pharmacist, drug information resources, and referral center. The preparation for and implementation of the promotional phase took approximately two months. Promotional strategies included the creation and dissemination of brochures and stickers. The intranet site went live on January 1, 2007, and the advertising campaign began one month later. The utility of the site was measured for five months by tracking the number of visits to the site, the number of visits to each webpage, and the number of downloaded files. Request volume, caller affiliation, and question types received by the DIS call center were also recorded. Establishing a DIS intranet site required a considerable time investment and a willingness to work with existing infrastructures, such as the marketing and communications department and Web marketing staff.

Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language

PubMed Central

Friedman, Carol; Hripcsak, George; Shagina, Lyuda; Liu, Hongfang

1999-01-01

Objective: To design a document model that provides reliable and efficient access to clinical information in patient reports for a broad range of clinical applications, and to implement an automated method using natural language processing that maps textual reports to a form consistent with the model. Methods: A document model that encodes structured clinical information in patient reports while retaining the original contents was designed using the extensible markup language (XML), and a document type definition (DTD) was created. An existing natural language processor (NLP) was modified to generate output consistent with the model. Two hundred reports were processed using the modified NLP system, and the XML output that was generated was validated using an XML validating parser. Results: The modified NLP system successfully processed all 200 reports. The output of one report was invalid, and 199 reports were valid XML forms consistent with the DTD. Conclusions: Natural language processing can be used to automatically create an enriched document that contains a structured component whose elements are linked to portions of the original textual report. This integrated document model provides a representation where documents containing specific information can be accurately and efficiently retrieved by querying the structured components. If manual review of the documents is desired, the salient information in the original reports can also be identified and highlighted. Using an XML model of tagging provides an additional benefit in that software tools that manipulate XML documents are readily available. PMID:9925230

NOVEL OBSERVATIONS AND POTENTIAL APPLICATIONS USING DIGITAL INFRARED IRIS IMAGING

PubMed Central

Roberts, Daniel K.; Lukic, Ana; Yang, Yongyi; Moroi, Sayoko E.; Wilensky, Jacob T.; Wernick, Miles N.

2017-01-01

Digital infrared (IR) iris photography using a modified digital camera system was carried out on about 300 subjects seen during routine clinical care and research at one facility. Since this image database offered opportunity to gain new insight into the potential utility of IR iris imaging, it was surveyed for unique image patterns. Then, a selection of photos was compiled that would illustrate the spectrum of this imaging experience. Potentially informative image patterns were observed in subjects with cataracts, diabetic retinopathy, Posner-Schlossman syndrome, iridociliary cysts, long anterior lens zonules, nevi, oculocutaneous albinism, pigment dispersion syndrome, pseudophakia, suspected vascular anomaly, and trauma. Image patterns were often unanticipated regardless of pre-existing information and suggest that IR iris imaging may have numerous potential clinical and research applications, some of which may still not be recognized. These observations suggest further development and study of this technology. PMID:19320317

Digital Family History Data Mining with Neural Networks: A Pilot Study.

PubMed

Hoyt, Robert; Linnville, Steven; Thaler, Stephen; Moore, Jeffrey

2016-01-01

Following the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, electronic health records were widely adopted by eligible physicians and hospitals in the United States. Stage 2 meaningful use menu objectives include a digital family history but no stipulation as to how that information should be used. A variety of data mining techniques now exist for these data, which include artificial neural networks (ANNs) for supervised or unsupervised machine learning. In this pilot study, we applied an ANN-based simulation to a previously reported digital family history to mine the database for trends. A graphical user interface was created to display the input of multiple conditions in the parents and output as the likelihood of diabetes, hypertension, and coronary artery disease in male and female offspring. The results of this pilot study show promise in using ANNs to data mine digital family histories for clinical and research purposes.

Managing patients' wait time in specialist out-patient clinic using real-time data from existing queue management and ADT systems.

PubMed

Ju, John Chen; Gan, Soon Ann; Tan Siew Wee, Justine; Huang Yuchi, Peter; Mei Mei, Chan; Wong Mei Mei, Sharon; Fong, Kam Weng

2013-01-01

In major cancer centers, heavy patients load and multiple registration stations could cause significant wait time, and can be result in patient complains. Real-time patient journey data and visual display are useful tools in hospital patient queue management. This paper demonstrates how we capture patient queue data without deploying any tracing devices; and how to convert data into useful patient journey information to understand where interventions are likely to be most effective. During our system development, remarkable effort has been spent on resolving data discrepancy and balancing between accuracy and system performances. A web-based dashboard to display real-time information and a framework for data analysis were also developed to facilitate our clinics' operation. Result shows our system could eliminate more than 95% of data capturing errors and has improved patient wait time data accuracy since it was deployed.

An exploratory survey on the views of European tissue engineers concerning the ethical issues of tissue engineering research.

PubMed

Trommelmans, Leen; Selling, Joseph; Dierickx, Kris

2009-09-01

We present the first exploratory survey about the views of tissue engineers on the ethical issues of tissue engineering (TE), conducted among participants of a large European TE consortium. We analyzed the topics for which ethical guidance is necessary and the preferred dissemination channels, which are relevant issues and goals of clinical trials with human tissue-engineered products, and which information is to be given to trial participants. The need for comprehensive, specific ethical guidance of TE is a first key finding of this survey. Second, it becomes clear that little clarity exists on some crucial issues in the setup and conduct of clinical trials in TE. Identifying the unique features of TE and their repercussions for the ethical conduct of TE research and therapy is necessary. Third, prospective trial participants are to be informed about a wide variety of issues before taking part in the trial.

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 Development of Information Centralization and Management Integration System for Monitors Based on Wireless Sensor Network].

PubMed

Xu, Xiu; Zhang, Honglei; Li, Yiming; Li, Bin

2015-07-01

Developed the information centralization and management integration system for monitors of different brands and models with wireless sensor network technologies such as wireless location and wireless communication, based on the existing wireless network. With adaptive implementation and low cost, the system which possesses the advantages of real-time, efficiency and elaboration is able to collect status and data of the monitors, locate the monitors, and provide services with web server, video server and locating server via local network. Using an intranet computer, the clinical and device management staffs can access the status and parameters of monitors. Applications of this system provide convenience and save human resource for clinical departments, as well as promote the efficiency, accuracy and elaboration for the device management. The successful achievement of this system provides solution for integrated and elaborated management of the mobile devices including ventilator and infusion pump.

'Stress, anger, fear and injustice': An international qualitative survey of women's experiences planning a vaginal breech birth.

PubMed

Petrovska, Karolina; Watts, Nicole P; Catling, Christine; Bisits, Andrew; Homer, Caroline Se

2017-01-01

the outcomes of the Term Breech Trial had a profound impact on women's options for breech birth, with caesarean section now seen as the default method for managing breech birth by many clinicians. Despite this, the demand for planned vaginal breech birth from women does exist. This study aimed to examine the experiences of women who sought a vaginal breech birth to increase understanding as to how to care for women seeking this birth option. an electronic survey was distributed to women online via social media. The survey consisted of qualitative and quantitative questions, with the qualitative data being the focus of this paper. Open ended questions sought information on the ways in which woman sourced a clinician skilled in vaginal breech birth and the level of support and quality of information provided from clinicians regarding vaginal breech birth. Thematic analysis was used to analyse and code the qualitative data into major themes. in total, 204 women from over seven countries responded to the survey. Written responses to the open ended questions were categorised into seven themes: Seeking the chance to try for a VBB; Encountering coercion and fear; Putting the birth before the baby?; Dealing with emotional wounds; Searching for information and support; Traveling across boundaries; Overcoming obstacles in the system. for women seeking vaginal breech birth, limited system and clinical support can impede access to balanced information and options for care. Recognition of existing evidence on the safety of vaginal breech birth, as well as the presence of clinical guidelines that support it, may assist in promoting vaginal breech birth as a legitimate option that should be available to women. Copyright © 2016 Elsevier Ltd. All rights reserved.

Transforming Medical Assessment: Integrating Uncertainty Into the Evaluation of Clinical Reasoning in Medical Education.

PubMed

Cooke, Suzette; Lemay, Jean-Francois

2017-06-01

In an age where practicing physicians have access to an overwhelming volume of clinical information and are faced with increasingly complex medical decisions, the ability to execute sound clinical reasoning is essential to optimal patient care. The authors propose two concepts that are philosophically paramount to the future assessment of clinical reasoning in medicine: assessment in the context of "uncertainty" (when, despite all of the information that is available, there is still significant doubt as to the best diagnosis, investigation, or treatment), and acknowledging that it is entirely possible (and reasonable) to have more than "one correct answer." The purpose of this article is to highlight key elements related to these two core concepts and discuss genuine barriers that currently exist on the pathway to creating such assessments. These include acknowledging situations of uncertainty, creating clear frameworks that define progressive levels of clinical reasoning skills, providing validity evidence to increase the defensibility of such assessments, considering the comparative feasibility with other forms of assessment, and developing strategies to evaluate the impact of these assessment methods on future learning and practice. The authors recommend that concerted efforts be directed toward these key areas to help advance the field of clinical reasoning assessment, improve the clinical care decisions made by current and future physicians, and have positive outcomes for patients. It is anticipated that these and subsequent efforts will aid in reaching the goal of making future assessment in medical education more representative of current-day clinical reasoning and decision making.

Co-occurring medical conditions in adults with Down syndrome: A systematic review toward the development of health care guidelines.

PubMed

Capone, George T; Chicoine, Brian; Bulova, Peter; Stephens, Mary; Hart, Sarah; Crissman, Blythe; Videlefsky, Andrea; Myers, Katherine; Roizen, Nancy; Esbensen, Anna; Peterson, Moya; Santoro, Stephanie; Woodward, Jason; Martin, Barry; Smith, David

2018-01-01

Adults with Down syndrome (DS) represent a unique population who are in need of clinical guidelines to address their medical care. The United States Preventive Service Task Force (USPSTF) has developed criteria for prioritizing conditions of public health importance with the potential for providing screening recommendations to improve clinical care. The quality of existing evidence needed to inform clinical guidelines has not been previously reviewed. Using the National Library of Medicine (NLM) database PubMed, we first identified 18 peer reviewed articles that addressed co-occurring medical conditions in adults with DS. Those conditions discussed in over half of the articles were prioritized for further review. Second, we performed detailed literature searches on these specific conditions. To inform the search strategy and review process a series of key questions were formulated a priori. The quality of available evidence was then graded and knowledge gaps were identified. The number of participating adults and the design of clinical studies varied by condition and were often inadequate for answering all of our key questions. We provide data on thyroid disease, cervical spine disease, hearing impairment, overweight-obesity, sleep apnea, congenital heart disease, and osteopenia-osteoporosis. Minimal evidence demonstrates massive gaps in our clinical knowledge that compromises clinical decision-making and management of these medically complex individuals. The development of evidence-based clinical guidance will require an expanded clinical knowledge-base in order to move forward. © 2017 Wiley Periodicals, Inc.

The total laboratory solution: a new laboratory E-business model based on a vertical laboratory meta-network.

PubMed

Friedman, B A

2001-08-01

Major forces are now reshaping all businesses on a global basis, including the healthcare and clinical laboratory industries. One of the major forces at work is information technology (IT), which now provides the opportunity to create a new economic and business model for the clinical laboratory industry based on the creation of an integrated vertical meta-network, referred to here as the "total laboratory solution" (TLS). Participants at the most basic level of such a network would include a hospital-based laboratory, a reference laboratory, a laboratory information system/application service provider/laboratory portal vendor, an in vitro diagnostic manufacturer, and a pharmaceutical/biotechnology manufacturer. It is suggested that each of these participants would add value to the network primarily in its area of core competency. Subvariants of such a network have evolved over recent years, but a TLS comprising all or most of these participants does not exist at this time. Although the TLS, enabled by IT and closely akin to the various e-businesses that are now taking shape, offers many advantages from a theoretical perspective over the current laboratory business model, its success will depend largely on (a) market forces, (b) how the collaborative networks are organized and managed, and (c) whether the network can offer healthcare organizations higher quality testing services at lower cost. If the concept is successful, new demands will be placed on hospital-based laboratory professionals to shift the range of professional services that they offer toward clinical consulting, integration of laboratory information from multiple sources, and laboratory information management. These information management and integration tasks can only increase in complexity in the future as new genomic and proteomics testing modalities are developed and come on-line in clinical laboratories.

Research gaps identified during systematic reviews of clinical trials: glass-ionomer cements.

PubMed

Mickenautsch, Steffen

2012-06-29

To report the results of an audit concerning research gaps in clinical trials that were accepted for appraisal in authored and published systematic reviews regarding the application of glass-ionomer cements (GIC) in dental practice Information concerning research gaps in trial precision was extracted, following a framework that included classification of the research gap reasons: 'imprecision of information (results)', 'biased information', 'inconsistency or unknown consistency' and 'not the right information', as well as research gap characterization using PICOS elements: population (P), intervention (I), comparison (C), outcomes (O) and setting (S). Internal trial validity assessment was based on the understanding that successful control for systematic error cannot be assured on the basis of inclusion of adequate methods alone, but also requires empirical evidence about whether such attempt was successful. A comprehensive and interconnected coverage of GIC-related clinical topics was established. The most common reasons found for gaps in trial precision were lack of sufficient trials and lack of sufficient large sample size. Only a few research gaps were ascribed to 'Lack of information' caused by focus on mainly surrogate trial outcomes. According to the chosen assessment criteria, a lack of adequate randomisation, allocation concealment and blinding/masking in trials covering all reviewed GIC topics was noted (selection- and detection/performance bias risk). Trial results appear to be less affected by loss-to-follow-up (attrition bias risk). This audit represents an adjunct of the systematic review articles it has covered. Its results do not change the systematic review's conclusions but highlight existing research gaps concerning the precision and internal validity of reviewed trials in detail. These gaps should be addressed in future GIC-related clinical research.

Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms.

PubMed

McFarlane, Daniel C; Doig, Alexa K; Agutter, James A; Brewer, Lara M; Syroid, Noah D; Mittu, Ranjeev

2018-01-01

This study evaluates the potential for improving patient safety by introducing a metacognitive attention aid that enables clinicians to more easily access and use existing alarm/alert information. It is hypothesized that this introduction will enable clinicians to easily triage alarm/alert events and quickly recognize emergent opportunities to adapt care delivery. The resulting faster response to clinically important alarms/alerts has the potential to prevent adverse events and reduce healthcare costs. A randomized within-subjects single-factor clinical experiment was conducted in a high-fidelity 20-bed simulated acute care hospital unit. Sixteen registered nurses, four at a time, cared for five simulated patients each. A two-part highly realistic clinical scenario was used that included representative: tasking; information; and alarms/alerts. The treatment condition introduced an integrated wearable attention aid that leveraged metacognition methods from proven military systems. The primary metric was time for nurses to respond to important alarms/alerts. Use of the wearable attention aid resulted in a median relative within-subject improvement for individual nurses of 118% (W = 183, p = 0.006). The top quarter of relative improvement was 3,303% faster (mean; 17.76 minutes reduced to 1.33). For all unit sessions, there was an overall 148% median faster response time to important alarms (8.12 minutes reduced to 3.27; U = 2.401, p = 0.016), with 153% median improvement in consistency across nurses (F = 11.670, p = 0.001). Existing device-centric alarm/alert notification solutions can require too much time and effort for nurses to access and understand. As a result, nurses may ignore alarms/alerts as they focus on other important work. There has been extensive research on reducing alarm frequency in healthcare. However, alarm safety remains a top problem. Empirical observations reported here highlight the potential of improving patient safety by supporting the meta-work of checking alarms.

Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms

PubMed Central

Doig, Alexa K.; Agutter, James A.; Brewer, Lara M.; Syroid, Noah D.; Mittu, Ranjeev

2018-01-01

Objective This study evaluates the potential for improving patient safety by introducing a metacognitive attention aid that enables clinicians to more easily access and use existing alarm/alert information. It is hypothesized that this introduction will enable clinicians to easily triage alarm/alert events and quickly recognize emergent opportunities to adapt care delivery. The resulting faster response to clinically important alarms/alerts has the potential to prevent adverse events and reduce healthcare costs. Materials and methods A randomized within-subjects single-factor clinical experiment was conducted in a high-fidelity 20-bed simulated acute care hospital unit. Sixteen registered nurses, four at a time, cared for five simulated patients each. A two-part highly realistic clinical scenario was used that included representative: tasking; information; and alarms/alerts. The treatment condition introduced an integrated wearable attention aid that leveraged metacognition methods from proven military systems. The primary metric was time for nurses to respond to important alarms/alerts. Results Use of the wearable attention aid resulted in a median relative within-subject improvement for individual nurses of 118% (W = 183, p = 0.006). The top quarter of relative improvement was 3,303% faster (mean; 17.76 minutes reduced to 1.33). For all unit sessions, there was an overall 148% median faster response time to important alarms (8.12 minutes reduced to 3.27; U = 2.401, p = 0.016), with 153% median improvement in consistency across nurses (F = 11.670, p = 0.001). Discussion and conclusion Existing device-centric alarm/alert notification solutions can require too much time and effort for nurses to access and understand. As a result, nurses may ignore alarms/alerts as they focus on other important work. There has been extensive research on reducing alarm frequency in healthcare. However, alarm safety remains a top problem. Empirical observations reported here highlight the potential of improving patient safety by supporting the meta-work of checking alarms. PMID:29768477

Medical photography: principles for orthopedics.

PubMed

Uzun, Metin; Bülbül, Murat; Toker, Serdar; Beksaç, Burak; Kara, Adnan

2014-04-05

Medical photography is used clinically for patient evaluation, treatment decisions, and scientific documentation. Although standards for medical photography exist in many branches of medicine, we have not encountered such criteria in publications in the area of orthopedics. This study aims to (1) assess the quality of medical images used in an orthopedic publication and (2) to propose standards for medical photography in this area. Clinical photographs were reviewed from all issues of a journal published between the years 2008 and 2012. A quality of clinical images was developed based on the criteria published for the specialties of dermatology and cosmetic surgery. All images were reviewed on the appropriateness of background, patient preparation, and technique. In this study, only 44.9% of clinical images in an orthopedic publication adhered to the proposed conventions. Standards have not been established for medical photography in orthopedics as in other specialty areas. Our results suggest that photographic clinical information in orthopedic publications may be limited by inadequate presentation. We propose that formal conventions for clinical images should be established.

Key observations from the NHLBI Asthma Clinical Research Network.

PubMed

Szefler, Stanley J; Chinchilli, Vernon M; Israel, Elliot; Denlinger, Loren Clark; Lemanske, Robert F; Calhoun, William; Peters, Stephen P

2012-05-01

The National Heart, Lung and Blood Institute (NHLBI) Asthma Clinical Research Network (ACRN) recently completed its work after 20 years of collaboration as a multicentre clinical trial network. When formed, its stated mission was to perform multiple controlled clinical trials for treating patients with asthma by dispassionately examining new and existing therapies, and to rapidly communicate its findings to the medical community. The ACRN conducted 15 major clinical trials. In addition, clinical data, manual of operations, protocols and template informed consents from all ACRN trials are available via NHLBI BioLINCC (https://biolincc.nhlbi.nih.gov/studies/). This network contributed major insights into the use of inhaled corticosteroids, short-acting and long-acting ß-adrenergic agonists, leukotriene receptor antagonists, and novel agents (tiotropium, colchicine and macrolide antibiotics). They also pioneered studies of the variability in drug response, predictors of treatment response and pharmacogenetics. This review highlights the major research observations from the ACRN that have impacted the current management of asthma.

Developing a globally applicable evidence-informed competency framework to support capacity strengthening in clinical research.

PubMed

Julé, Amélie; Furtado, Tamzin; Boggs, Liam; van Loggerenberg, Francois; Ewing, Victoria; Vahedi, Manhaz; Launois, Pascal; Lang, Trudie

2017-01-01

Capacity development for clinical research is held back by a lack of recognition for the skills acquired through involvement in clinical trials and in other varied types of global health research studies. Although some competency frameworks and associated recognised career pathways exist for different clinical research roles, they mostly apply to a single role or study setting. Our experience supports the need for an integrated approach, looking at the many roles in parallel and at all types of clinical research beyond trials. Here, we propose a single, flexible framework which is applicable to the full global health research team, and can be used for recognising staff by highlighting acquired skills and possible progression between various roles. It can also illuminate where capacity needs strengthening and contribute to raising research engagement. Through systematic analysis of existing competency frameworks and current job descriptions covering 11 distinct, broad clinical research roles, we identified and defined 50 key competencies required by the team as a whole and throughout the study life cycle. The competencies are relevant and adaptable to studies that differ in design, geographical location or disease, and fall in five main areas-(1) Ethics, Quality and Risk Management; (2) Study and Site Management; (3) Research Operations; (4) Scientific Thinking; and (5) Professional Skills. A pilot framework and implementation tools are now available online and in paper format. They have the potential to be a new mechanism for enabling research skills development and career progression for all staff engaged in clinical research globally.

Developing a globally applicable evidence-informed competency framework to support capacity strengthening in clinical research

PubMed Central

Julé, Amélie; Boggs, Liam; van Loggerenberg, Francois; Ewing, Victoria; Vahedi, Manhaz; Launois, Pascal; Lang, Trudie

2017-01-01

Capacity development for clinical research is held back by a lack of recognition for the skills acquired through involvement in clinical trials and in other varied types of global health research studies. Although some competency frameworks and associated recognised career pathways exist for different clinical research roles, they mostly apply to a single role or study setting. Our experience supports the need for an integrated approach, looking at the many roles in parallel and at all types of clinical research beyond trials. Here, we propose a single, flexible framework which is applicable to the full global health research team, and can be used for recognising staff by highlighting acquired skills and possible progression between various roles. It can also illuminate where capacity needs strengthening and contribute to raising research engagement. Through systematic analysis of existing competency frameworks and current job descriptions covering 11 distinct, broad clinical research roles, we identified and defined 50 key competencies required by the team as a whole and throughout the study life cycle. The competencies are relevant and adaptable to studies that differ in design, geographical location or disease, and fall in five main areas—(1) Ethics, Quality and Risk Management; (2) Study and Site Management; (3) Research Operations; (4) Scientific Thinking; and (5) Professional Skills. A pilot framework and implementation tools are now available online and in paper format. They have the potential to be a new mechanism for enabling research skills development and career progression for all staff engaged in clinical research globally. PMID:28589027

Effect of genetic testing for risk of type 2 diabetes mellitus on health behaviors and outcomes: study rationale, development and design.

PubMed

Cho, Alex H; Killeya-Jones, Ley A; O'Daniel, Julianne M; Kawamoto, Kensaku; Gallagher, Patrick; Haga, Susanne; Lucas, Joseph E; Trujillo, Gloria M; Joy, Scott V; Ginsburg, Geoffrey S

2012-01-18

Type 2 diabetes is a prevalent chronic condition globally that results in extensive morbidity, decreased quality of life, and increased health services utilization. Lifestyle changes can prevent the development of diabetes, but require patient engagement. Genetic risk testing might represent a new tool to increase patients' motivation for lifestyle changes. Here we describe the rationale, development, and design of a randomized controlled trial (RCT) assessing the clinical and personal utility of incorporating type 2 diabetes genetic risk testing into comprehensive diabetes risk assessments performed in a primary care setting. Patients are recruited in the laboratory waiting areas of two primary care clinics and enrolled into one of three study arms. Those interested in genetic risk testing are randomized to receive either a standard risk assessment (SRA) for type 2 diabetes incorporating conventional risk factors plus upfront disclosure of the results of genetic risk testing ("SRA+G" arm), or the SRA alone ("SRA" arm). Participants not interested in genetic risk testing will not receive the test, but will receive SRA (forming a third, "no-test" arm). Risk counseling is provided by clinic staff (not study staff external to the clinic). Fasting plasma glucose, insulin levels, body mass index (BMI), and waist circumference are measured at baseline and 12 months, as are patients' self-reported behavioral and emotional responses to diabetes risk information. Primary outcomes are changes in insulin resistance and BMI after 12 months; secondary outcomes include changes in diet patterns, physical activity, waist circumference, and perceived risk of developing diabetes. The utility, feasibility, and efficacy of providing patients with genetic risk information for common chronic diseases in primary care remain unknown. The study described here will help to establish whether providing type 2 diabetes genetic risk information in a primary care setting can help improve patients' clinical outcomes, risk perceptions, and/or their engagement in healthy behavior change. In addition, study design features such as the use of existing clinic personnel for risk counseling could inform the future development and implementation of care models for the use of individual genetic risk information in primary care. ClinicalTrials.gov: NCT00849563.

National Comparative Audit of Blood Transfusion: report on the 2014 audit of patient information and consent.

PubMed

Booth, C; Grant-Casey, J; Lowe, D; Court, E L; Allard, S

2017-11-28

The aim of this study was to assess current practices around obtaining consent for blood transfusion and provision of patient information in hospitals across the UK and identify areas for improvement. Recommendations from the Advisory Committee on the Safety of Blood, Tissues and Organs (SaBTO) (2011) state that valid consent should be obtained for blood transfusion and documented in clinical records. A standardised source of information should be available to patients. Practices in relation to this have historically been inconsistent. The consent process was studied in hospitals across the UK over a 3-month period in 2014 by means of an audit of case notes and simultaneous surveys of patients and staff. In total, 2784 transfusion episodes were reviewed across 164 hospital sites. 85% of sites had a policy on consent for transfusion. Consent was documented in 43% of case notes. 68% of patients recalled being given information on benefits of transfusion, 38% on risks and 8% on alternatives and 28% reported receiving an information leaflet. In total, 85% of staff stated they had explained the reason for transfusion, but only 65% had documented this. 41% of staff had received training specifically on transfusion consent in the last 2 years. There is a need to improve clinical practice in obtaining valid consent for transfusion in line with existing national guidelines and local Trust policies, with emphasis on documentation within clinical records. Provision of patient information is an area particularly highlighted for action, and transfusion training for clinicians should be strengthened. © 2017 British Blood Transfusion Society.

The HUMTICK study: protocol for a prospective cohort study on post-treatment Lyme disease syndrome and the disease and cost burden of Lyme borreliosis in Belgium.

PubMed

Geebelen, Laurence; Lernout, Tinne; Kabamba-Mukadi, Benoît; Saegeman, Veroniek; Sprong, Hein; Van Gucht, Steven; Beutels, Philippe; Speybroeck, Niko; Tersago, Katrien

2017-01-01

In Belgium, different routine surveillance systems are in place to follow-up Lyme borreliosis trends. However, accurate data on the disease and monetary burden for the different clinical manifestations are lacking. Despite recommended antibiotic treatment, a proportion of Lyme patients report persisting aspecific symptoms for six months or more (e.g. fatigue, widespread musculoskeletal pain, cognitive difficulties), a syndrome now named "post-treatment Lyme disease syndrome" (PTLDS). Controversy exists on the cause, incidence and severity of PTLDS. This study aims to estimate the incidence of PTLDS in patients with Lyme borreliosis and to quantify the disease burden and economic costs associated with the different clinical manifestations of Lyme borreliosis in Belgium. The project is a prospective cohort study in which about 600 patients with an erythema migrans and 100 patients with disseminated Lyme borreliosis will be followed up. Questionnaires, including the SF-36 vitality and pain subscale, the Cognitive Failure Questionnaire and the EQ-5D-5L, will be used to collect information on acute and persisting symptoms and the impact on quality of life. Symptom frequency and severity will be compared with self-reported pre-Lyme health status, a control group and existing Belgian population norms. Additionally, information on the associated costs and possible risk factors for the development of PTLDS will be collected. A study of the health burden will allow evaluation of the relative importance of Lyme borreliosis in Belgium and information on the economic cost will help to formulate cost-effective measures. There are only few prospective studies conducted estimating the incidence of PTLDS and even though discussion exists about the prevalence of subjective symptoms in the general population, a control group of non-Lyme borreliosis participants has often not been included.

Improving data sharing in research with context-free encoded missing data.

PubMed

Hoevenaar-Blom, Marieke P; Guillemont, Juliette; Ngandu, Tiia; Beishuizen, Cathrien R L; Coley, Nicola; Moll van Charante, Eric P; Andrieu, Sandrine; Kivipelto, Miia; Soininen, Hilkka; Brayne, Carol; Meiller, Yannick; Richard, Edo

2017-01-01

Lack of attention to missing data in research may result in biased results, loss of power and reduced generalizability. Registering reasons for missing values at the time of data collection, or-in the case of sharing existing data-before making data available to other teams, can save time and efforts, improve scientific value and help to prevent erroneous assumptions and biased results. To ensure that encoding of missing data is sufficient to understand the reason why data are missing, it should ideally be context-free. Therefore, 11 context-free codes of missing data were carefully designed based on three completed randomized controlled clinical trials and tested in a new randomized controlled clinical trial by an international team consisting of clinical researchers and epidemiologists with extended experience in designing and conducting trials and an Information System expert. These codes can be divided into missing due to participant and/or participation characteristics (n = 6), missing by design (n = 4), and due to a procedural error (n = 1). Broad implementation of context-free missing data encoding may enhance the possibilities of data sharing and pooling, thus allowing more powerful analyses using existing data.

White matter fiber tracking computation based on diffusion tensor imaging for clinical applications.

PubMed

Dellani, Paulo R; Glaser, Martin; Wille, Paulo R; Vucurevic, Goran; Stadie, Axel; Bauermann, Thomas; Tropine, Andrei; Perneczky, Axel; von Wangenheim, Aldo; Stoeter, Peter

2007-03-01

Fiber tracking allows the in vivo reconstruction of human brain white matter fiber trajectories based on magnetic resonance diffusion tensor imaging (MR-DTI), but its application in the clinical routine is still in its infancy. In this study, we present a new software for fiber tracking, developed on top of a general-purpose DICOM (digital imaging and communications in medicine) framework, which can be easily integrated into existing picture archiving and communication system (PACS) of radiological institutions. Images combining anatomical information and the localization of different fiber tract trajectories can be encoded and exported in DICOM and Analyze formats, which are valuable resources in the clinical applications of this method. Fiber tracking was implemented based on existing line propagation algorithms, but it includes a heuristic for fiber crossings in the case of disk-shaped diffusion tensors. We successfully performed fiber tracking on MR-DTI data sets from 26 patients with different types of brain lesions affecting the corticospinal tracts. In all cases, the trajectories of the central spinal tract (pyramidal tract) were reconstructed and could be applied at the planning phase of the surgery as well as in intraoperative neuronavigation.

A link prediction approach to cancer drug sensitivity prediction.

PubMed

Turki, Turki; Wei, Zhi

2017-10-03

Predicting the response to a drug for cancer disease patients based on genomic information is an important problem in modern clinical oncology. This problem occurs in part because many available drug sensitivity prediction algorithms do not consider better quality cancer cell lines and the adoption of new feature representations; both lead to the accurate prediction of drug responses. By predicting accurate drug responses to cancer, oncologists gain a more complete understanding of the effective treatments for each patient, which is a core goal in precision medicine. In this paper, we model cancer drug sensitivity as a link prediction, which is shown to be an effective technique. We evaluate our proposed link prediction algorithms and compare them with an existing drug sensitivity prediction approach based on clinical trial data. The experimental results based on the clinical trial data show the stability of our link prediction algorithms, which yield the highest area under the ROC curve (AUC) and are statistically significant. We propose a link prediction approach to obtain new feature representation. Compared with an existing approach, the results show that incorporating the new feature representation to the link prediction algorithms has significantly improved the performance.

Email recruitment to use web decision support tools for pneumonia.

PubMed

Flanagan, James R; Peterson, Michael; Dayton, Charles; Strommer Pace, Lori; Plank, Andrew; Walker, Kristy; Carlson, William S

2002-01-01

Application of guidelines to improve clinical decisions for Community Acquired Pneumonia (CAP) patients depends on accurate information about specific facts of each case and on presenting guideline support at the time decisions are being made. We report here on a system designed to solicit information from physicians about their CAP patients in order to classify CAP and present appropriate guidelines for type of care, length of stay, and use of antibiotics. We used elements of three existing information systems to create a achieve these goals: professionals coding diagnoses captured by the existing clinical information system (CIS), email, and web-based decision support tools including a pneumonia severity evaluation tool (SET). The non-secure IS components (email and web) were able to link to information in the CIS using tokens that do not reveal confidential patient-identifiable information. We examined their response to this strategy and the accuracy of pneumonia classification using this approach compared to chart review as a gold standard. On average physicians responded to email solicitations 50% of the time over the 14 month study. Also using this standard, we examined various information triggers for case finding. Professional coding of the primary reason for admission as pneumonia was fairly sensitive as an indicator of CAP. Physician use of the web SET was insensitive but fairly specific. Pneumonia classification using the SET was very reliable compared to experts' chart review using the same algorithm. We examined the distribution of severity of pneumonia for cases of pneumonia found by the various information triggers and for each severity the average length of stay. The distribution found by both chart review and by SET has demonstrated a shift toward more severe cases being admitted compared to only 3 years ago. The length of stay for level of severity is above expectations published by guidelines even for cases of true CAP by chart review. We suggest that the Fine classification system may not adequately describe patients in this setting. Physicians frequently responded that the guidelines presented did not fit their patients.

Next-generation healthcare: a strategic appraisal.

PubMed

Montague, Terrence

2009-01-01

Successful next-generation healthcare must deliver timely access and quality for an aging population, while simultaneously promoting disease prevention and managing costs. The key factors for sustained success are a culture with aligned goals and values; coordinated team care that especially engages with physicians and patients; practical information that is collected and communicated reliably; and education in the theory and methods of collaboration, measurement and leadership. Currently, optimal population health is challenged by a high prevalence of chronic disease, with large gaps between best and usual care, a scarcity of health human resources - particularly with the skills, attitudes and training for coordinated team care - and the absence of flexible, reliable clinical measurement systems. However, to make things better, institutional models and supporting technologies are available. In the short term, a first step is to enhance the awareness of the practical opportunities to improve, including the expansion of proven community-based disease management programs that communicate knowledge, competencies and clinical measurements among professional and patient partners, leading to reduced care gaps and improved clinical and economic outcomes. Longer-term success requires two additional steps. One is formal inter-professional training to provide, on an ongoing basis, the polyvalent human resource skills and foster the culture of working with others to improve the care of whole populations. The other is the adoption of reliable information systems, including electronic health records, to allow useful and timely measurement and effective communication of clinical information in real-world settings. A better health future can commence immediately, within existing resources, and be sustained with feasible innovations in provider and patient education and information systems. The future is now.

An initial assessment of the cost and utilization of the Integrated Academic Information System (IAIMS) at Columbia Presbyterian Medical Center.

PubMed Central

Clayton, P. D.; Anderson, R. K.; Hill, C.; McCormack, M.

1991-01-01

The concept of "one stop information shopping" is becoming a reality at Columbia Presbyterian Medical Center (CPMC). The goal of our effort is to provide access to university and hospital administrative systems as well as clinical and library applications from a single workstation, which also provides utility functions such as word processing and mail. Since June 1987, CPMC has invested the equivalent of $23 million dollars to install a digital communications network that encompasses 18 buildings at seven geographically separate sites and to develop clinical and library applications that are integrated with the existing hospital and university administrative and research computing facilities. During June 1991, 2425 different individuals used the clinical information system, 425 different individuals used the library applications, and 900 different individuals used the hospital administrative applications via network access. If we were to freeze the system in its current state, amortize the development and network installation costs, and add projected maintenance costs for the clinical and library applications, our integrated information system would cost $2.8 million on an annual basis. This cost is 0.3% of the medical center's annual budget. These expenditures could be justified by very small improvements in time savings for personnel and/or decreased length of hospital stay and/or more efficient use of resources. In addition to the direct benefits which we detail, a major benefit is the ease with which additional computer-based applications can be added incrementally at an extremely modest cost. PMID:1666966

Stanford Center for Military Photomedicine

DTIC Science & Technology

2014-09-08

cochlear implants after blast injury. A.2. WOUND HEALING. We have used several in vivo and in vitro models of wound healing to study the basic cell and...clinical information we will obtain has the potential to fundamentally alter the diagnosis and treatment of human cochlear pathology. Our microscope...of live guinea pigs, and have shown that FME can resolve cochlear structures in live subjects in a manner far superior to that of any other existing

[Ethics guidelines for the creation and use of registries for biomedical research purposes].

PubMed

Abajo Iglesias, Francisco J de; Feito Grande, Lydia; Júdez Gutiérrez, Javier; Martín Arribas, M Concepción; Terracini, Benedetto; Pàmpols Ros, Teresa; Campos Castelló, Jaime; Martín Uranga, Amelia; Abascal Alonso, Moisés; Herrera Carranza, Joaquín; Sánchez Martínez, María José

2008-01-01

The clinical information stored in registries and records of different types is a fundamental tool for biomedical research. Up until just a few years ago, hardly any limitations existed on the creation and use of epidemiological registries or the use of information from pre-existing records for research purposes. This situation has changed substantially due mainly to the growing importance current laws place upon the safeguarding of the privacy and confidentiality of personal data. Although the legal framework is already quite explicit, a certain degree of leeway exists for ethical debate and prudence advice for the purpose of conducting valid, useful research with this information which will also respect the rights of the subjects and the laws in force. These guidelines deal with those aspects which have been considered relevant from an ethical standpoint in the handling of records and registries for research-related purposes, including not only the use but also the creation proper of the registries. A total of twenty-four recommendations are provided, grouped into ten sections: warranting of the creation of registry, organization and definition of responsibilities, scientific validity of the research project, ethical requirements of the collections of anonymous and anonymized data, ethical requirements of the registries including personal data, uses of medical records for research purposes, use of historical records of deceased individuals, contact with the research subjects, notification of results and review by a Research Ethics Committee.

Pediatric Palliative Care in the Age of eHealth: Opportunities for Advances in HIT to Improve Patient-Centered Communication

PubMed Central

Madhavan, Subha; Sanders, Amy; Chou, Wen-Ying Sylvia; Shusterdg, Alex; Boone, Keith; Dente, Mark; Shad, Aziza T.; Hesse, Bradford W.

2013-01-01

Pediatric palliative care is an organized method for delivering effective, compassionate and timely care to children with cancer and their families, but it currently faces many challenges despite advances in technology and health care delivery. A key challenge involves unnecessary suffering from debilitating symptoms, such as pain, resulting from insufficient personalized treatment. Additionally, breakdowns in communication and a paucity of usable patient-centric information impede effective care. Recent advances in informatics for consumer health through eHealth initiatives have begun to be adopted in care coordination and communication, but overall remain under-utilized. Tremendous potentials exist in effective use of health information technology (HIT) to improve areas requiring personalized care such as pain management in pediatric oncology patients. This article aims first to identify communication challenges and needs in pediatric palliative cancer care from the perspectives of the entire group of individuals around the pediatric oncology patient, and then to describe how adoption and adaptation of these technologies can improve patient-provider communication, behavioral support, pain assessment, and education through integration into existing work flows. The goal of this research is to promote the value of using HIT standards-based technology solutions and stimulate development of interoperable, standardized technologies and delivery of context-sensitive information through user-friendly portals to facilitate communication in an existing pediatric clinical care setting. PMID:21521596

Health literacy and usability of clinical trial search engines.

PubMed

Utami, Dina; Bickmore, Timothy W; Barry, Barbara; Paasche-Orlow, Michael K

2014-01-01

Several web-based search engines have been developed to assist individuals to find clinical trials for which they may be interested in volunteering. However, these search engines may be difficult for individuals with low health and computer literacy to navigate. The authors present findings from a usability evaluation of clinical trial search tools with 41 participants across the health and computer literacy spectrum. The study consisted of 3 parts: (a) a usability study of an existing web-based clinical trial search tool; (b) a usability study of a keyword-based clinical trial search tool; and (c) an exploratory study investigating users' information needs when deciding among 2 or more candidate clinical trials. From the first 2 studies, the authors found that users with low health literacy have difficulty forming queries using keywords and have significantly more difficulty using a standard web-based clinical trial search tool compared with users with adequate health literacy. From the third study, the authors identified the search factors most important to individuals searching for clinical trials and how these varied by health literacy level.

Lung Carcinoma Predictive Biomarker Testing by Immunoperoxidase Stains in Cytology and Small Biopsy Specimens: Advantages and Limitations.

PubMed

Zhou, Fang; Moreira, Andre L

2016-12-01

- In the burgeoning era of molecular genomics, immunoperoxidase (IPOX) testing grows increasingly relevant as an efficient and effective molecular screening tool. Patients with lung carcinoma may especially benefit from the use of IPOX because most lung carcinomas are inoperable at diagnosis and only diagnosed by small tissue biopsy or fine-needle sampling. When such small specimens are at times inadequate for molecular testing, positive IPOX results still provide actionable information. - To describe the benefits and pitfalls of IPOX in the detection of biomarkers in lung carcinoma cytology specimens and small biopsies by summarizing the currently available commercial antibodies, preanalytic variables, and analytic considerations. - PubMed. - Commercial antibodies exist for IPOX detection of aberrant protein expression due to EGFR L858R mutation, EGFR E746_A750 deletion, ALK rearrangement, ROS1 rearrangement, and BRAF V600E mutation, as well as PD-L1 expression in tumor cells. Automated IPOX protocols for ALK and PD-L1 detection were recently approved by the Food and Drug Administration as companion diagnostics for targeted therapies, but consistent interpretive criteria remain to be elucidated, and such protocols do not yet exist for other biomarkers. The inclusion of cytology specimens in clinical trials would expand patients' access to testing and treatment, yet there is a scarcity of clinical trial data regarding the application of IPOX to cytology, which can be attributed to trial designers' lack of familiarity with the advantages and limitations of cytology. The content of this review may be used to inform clinical trial design and advance IPOX validation studies.

Use of old antibiotics now and in the future from a pharmacokinetic/pharmacodynamic perspective.

PubMed

Muller, A E; Theuretzbacher, U; Mouton, J W

2015-10-01

Because of the increase in bacterial resistance to commonly used antibacterial drugs, old antibiotics are being 'revived' and, once again, are attracting interest. Many of these old antibiotics were approved long ago, in an era when there was no clear process for development, and requirements for efficacy to be demonstrated in rigorous clinical trials did not exist. At the time of these approvals, pharmacokinetic and pharmacodynamic principles were largely unknown, and did not inform the dose-finding process or recommendations for optimal usage. Indeed, the task of generating basic vital information for these old antibiotics remains to be performed. In this review, we provide a brief overview of the most essential data needed for dose justification and optimization. An overview of the shortage of data for selected old antibiotics illustrates the scope of the problem. In order to prevent harming patients with clinical decisions based on inadequate evidence, a redevelopment procedure for old antibiotics is urgently needed, including a regulatory framework. Copyright © 2015 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Peering into the pharmaceutical "pipeline": investigational drugs, clinical trials, and industry priorities.

PubMed

Fisher, Jill A; Cottingham, Marci D; Kalbaugh, Corey A

2015-04-01

In spite of a growing literature on pharmaceuticalization, little is known about the pharmaceutical industry's investments in research and development (R&D). Information about the drugs being developed can provide important context for existing case studies detailing the expanding--and often problematic--role of pharmaceuticals in society. To access the pharmaceutical industry's pipeline, we constructed a database of drugs for which pharmaceutical companies reported initiating clinical trials over a five-year period (July 2006-June 2011), capturing 2477 different drugs in 4182 clinical trials. Comparing drugs in the pipeline that target diseases in high-income and low-income countries, we found that the number of drugs for diseases prevalent in high-income countries was 3.46 times higher than drugs for diseases prevalent in low-income countries. We also found that the plurality of drugs in the pipeline was being developed to treat cancers (26.2%). Interpreting our findings through the lens of pharmaceuticalization, we illustrate how investigating the entire drug development pipeline provides important information about patterns of pharmaceuticalization that are invisible when only marketed drugs are considered. Copyright © 2014 Elsevier Ltd. All rights reserved.

A method and software framework for enriching private biomedical sources with data from public online repositories.

PubMed

Anguita, Alberto; García-Remesal, Miguel; Graf, Norbert; Maojo, Victor

2016-04-01

Modern biomedical research relies on the semantic integration of heterogeneous data sources to find data correlations. Researchers access multiple datasets of disparate origin, and identify elements-e.g. genes, compounds, pathways-that lead to interesting correlations. Normally, they must refer to additional public databases in order to enrich the information about the identified entities-e.g. scientific literature, published clinical trial results, etc. While semantic integration techniques have traditionally focused on providing homogeneous access to private datasets-thus helping automate the first part of the research, and there exist different solutions for browsing public data, there is still a need for tools that facilitate merging public repositories with private datasets. This paper presents a framework that automatically locates public data of interest to the researcher and semantically integrates it with existing private datasets. The framework has been designed as an extension of traditional data integration systems, and has been validated with an existing data integration platform from a European research project by integrating a private biological dataset with data from the National Center for Biotechnology Information (NCBI). Copyright © 2016 Elsevier Inc. All rights reserved.

Extracting and standardizing medication information in clinical text - the MedEx-UIMA system.

PubMed

Jiang, Min; Wu, Yonghui; Shah, Anushi; Priyanka, Priyanka; Denny, Joshua C; Xu, Hua

2014-01-01

Extraction of medication information embedded in clinical text is important for research using electronic health records (EHRs). However, most of current medication information extraction systems identify drug and signature entities without mapping them to standard representation. In this study, we introduced the open source Java implementation of MedEx, an existing high-performance medication information extraction system, based on the Unstructured Information Management Architecture (UIMA) framework. In addition, we developed new encoding modules in the MedEx-UIMA system, which mapped an extracted drug name/dose/form to both generalized and specific RxNorm concepts and translated drug frequency information to ISO standard. We processed 826 documents by both systems and verified that MedEx-UIMA and MedEx (the Python version) performed similarly by comparing both results. Using two manually annotated test sets that contained 300 drug entries from medication list and 300 drug entries from narrative reports, the MedEx-UIMA system achieved F-measures of 98.5% and 97.5% respectively for encoding drug names to corresponding RxNorm generic drug ingredients, and F-measures of 85.4% and 88.1% respectively for mapping drug names/dose/form to the most specific RxNorm concepts. It also achieved an F-measure of 90.4% for normalizing frequency information to ISO standard. The open source MedEx-UIMA system is freely available online at http://code.google.com/p/medex-uima/.

A Multisite Survey Study of EMR Review Habits, Information Needs, and Display Preferences among Medical ICU Clinicians Evaluating New Patients.

PubMed

Nolan, Matthew E; Cartin-Ceba, Rodrigo; Moreno-Franco, Pablo; Pickering, Brian; Herasevich, Vitaly

2017-10-01

The electronic chart review habits of intensive care unit (ICU) clinicians admitting new patients are largely unknown but necessary to inform the design of existing and future critical care information systems. We conducted a survey study to assess the electronic chart review practices, information needs, workflow, and data display preferences among medical ICU clinicians admitting new patients. We surveyed rotating residents, critical care fellows, advanced practice providers, and attending physicians at three Mayo Clinic sites (Minnesota, Florida, and Arizona) via email with a single follow-up reminder message. Of 234 clinicians invited, 156 completed the full survey (67% response rate). Ninety-two percent of medical ICU clinicians performed electronic chart review for the majority of new patients. Clinicians estimated spending a median (interquartile range (IQR)) of 15 (10-20) minutes for a typical case, and 25 (15-40) minutes for complex cases, with no difference across training levels. Chart review spans 3 or more years for two-thirds of clinicians, with the most relevant categories being imaging, laboratory studies, diagnostic studies, microbiology reports, and clinical notes, although most time is spent reviewing notes. Most clinicians (77%) worry about overlooking important information due to the volume of data (74%) and inadequate display/organization (63%). Potential solutions are chronologic ordering of disparate data types, color coding, and explicit data filtering techniques. The ability to dynamically customize information display for different users and varying clinical scenarios is paramount. Electronic chart review of historical data is an important, prevalent, and potentially time-consuming activity among medical ICU clinicians who would benefit from improved information display systems. Schattauer GmbH Stuttgart.

Relation between clinical mature and immature lymphocyte cells in human peripheral blood and their spatial label free scattering patterns

NASA Astrophysics Data System (ADS)

Zhang, Lu; Zhao, Xin; Zhang, Zhenxi; Zhao, Hong; Chen, Wei; Yuan, Li

2016-07-01

A single living cell's light scattering pattern (LSP) in the horizontal plane, which has been denoted as the cell's "2D fingerprint," may provide a powerful label-free detection tool in clinical applications. We have recently studied the LSP in spatial scattering planes, denoted as the cell's "3D fingerprint," for mature and immature lymphocyte cells in human peripheral blood. The effects of membrane size, morphology, and the existence of the nucleus on the spatial LSP are discussed. In order to distinguish clinical label-free mature and immature lymphocytes, the special features of the spatial LSP are studied by statistical method in both the spatial and frequency domains. Spatial LSP provides rich information on the cell's morphology and contents, which can distinguish mature from immature lymphocyte cells and hence ultimately it may be a useful label-free technique for clinical leukemia diagnosis.

The Burn Wound Microenvironment

PubMed Central

Rose, Lloyd F.; Chan, Rodney K.

2016-01-01

Significance: While the survival rate of the severely burned patient has improved significantly, relatively little progress has been made in treatment or prevention of burn-induced long-term sequelae, such as contraction and fibrosis. Recent Advances: Our knowledge of the molecular pathways involved in burn wounds has increased dramatically, and technological advances now allow large-scale genomic studies, providing a global view of wound healing processes. Critical Issues: Translating findings from a large number of in vitro and preclinical animal studies into clinical practice represents a gap in our understanding, and the failures of a number of clinical trials suggest that targeting single pathways or cytokines may not be the best approach. Significant opportunities for improvement exist. Future Directions: Study of the underlying molecular influences of burn wound healing progression will undoubtedly continue as an active research focus. Increasing our knowledge of these processes will identify additional therapeutic targets, supporting informed clinical studies that translate into clinical relevance and practice. PMID:26989577

Multiscale Integration of -Omic, Imaging, and Clinical Data in Biomedical Informatics

PubMed Central

Phan, John H.; Quo, Chang F.; Cheng, Chihwen; Wang, May Dongmei

2016-01-01

This paper reviews challenges and opportunities in multiscale data integration for biomedical informatics. Biomedical data can come from different biological origins, data acquisition technologies, and clinical applications. Integrating such data across multiple scales (e.g., molecular, cellular/tissue, and patient) can lead to more informed decisions for personalized, predictive, and preventive medicine. However, data heterogeneity, community standards in data acquisition, and computational complexity are big challenges for such decision making. This review describes genomic and proteomic (i.e., molecular), histopathological imaging (i.e., cellular/tissue), and clinical (i.e., patient) data; it includes case studies for single-scale (e.g., combining genomic or histopathological image data), multiscale (e.g., combining histopathological image and clinical data), and multiscale and multiplatform (e.g., the Human Protein Atlas and The Cancer Genome Atlas) data integration. Numerous opportunities exist in biomedical informatics research focusing on integration of multiscale and multiplatform data. PMID:23231990

Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.

PubMed

Phan, John H; Quo, Chang F; Cheng, Chihwen; Wang, May Dongmei

2012-01-01

This paper reviews challenges and opportunities in multiscale data integration for biomedical informatics. Biomedical data can come from different biological origins, data acquisition technologies, and clinical applications. Integrating such data across multiple scales (e.g., molecular, cellular/tissue, and patient) can lead to more informed decisions for personalized, predictive, and preventive medicine. However, data heterogeneity, community standards in data acquisition, and computational complexity are big challenges for such decision making. This review describes genomic and proteomic (i.e., molecular), histopathological imaging (i.e., cellular/tissue), and clinical (i.e., patient) data; it includes case studies for single-scale (e.g., combining genomic or histopathological image data), multiscale (e.g., combining histopathological image and clinical data), and multiscale and multiplatform (e.g., the Human Protein Atlas and The Cancer Genome Atlas) data integration. Numerous opportunities exist in biomedical informatics research focusing on integration of multiscale and multiplatform data.

CASA: tracking the past and plotting the future.

PubMed

Gallagher, M T; Smith, D J; Kirkman-Brown, J C

2018-05-29

The human semen sample carries a wealth of information of varying degrees of accessibility ranging from the traditional visual measures of count and motility to those that need a more computational approach, such as tracking the flagellar waveform. Although computer-aided sperm analysis (CASA) options are becoming more widespread, the gold standard for clinical semen analysis requires trained laboratory staff. In this review we characterise the key attitudes towards the use of CASA and set out areas in which CASA should, and should not, be used and improved. We provide an overview of the current CASA landscape, discussing clinical uses as well as potential areas for the clinical translation of existing research technologies. Finally, we discuss where we see potential for the future of CASA, and how the integration of mathematical modelling and new technologies, such as automated flagellar tracking, may open new doors in clinical semen analysis.

The use of medical quality indices as a performance-enhancement tool for community clinics.

PubMed

Elhayany, A

2001-12-01

One of the most important issues for a country, its population and doctors is the effective use of its health system. The extensive variation in doctors' performance leads to a tremendous waste of resources. To combat this, and at the same time ensure that medical quality plays a role when making decisions on interventions, it is essential to equip doctors and clinic directors with information on the quality of the medical care they are providing. In order to assist clinic directors in maintaining medical quality, Clalit Health Services has developed comparative medical indices enabling doctors to compare their performance to that of their colleagues, as well as to the standard and their performance over time. The development of an index to evaluate the quality of medical treatment offered in clinics provides doctors and the health system with an essential tool to lessen the existing variation among doctors and to enhance and evaluate performance.

A Window Into Clinical Next-Generation Sequencing-Based Oncology Testing Practices.

PubMed

Nagarajan, Rakesh; Bartley, Angela N; Bridge, Julia A; Jennings, Lawrence J; Kamel-Reid, Suzanne; Kim, Annette; Lazar, Alexander J; Lindeman, Neal I; Moncur, Joel; Rai, Alex J; Routbort, Mark J; Vasalos, Patricia; Merker, Jason D

2017-12-01

- Detection of acquired variants in cancer is a paradigm of precision medicine, yet little has been reported about clinical laboratory practices across a broad range of laboratories. - To use College of American Pathologists proficiency testing survey results to report on the results from surveys on next-generation sequencing-based oncology testing practices. - College of American Pathologists proficiency testing survey results from more than 250 laboratories currently performing molecular oncology testing were used to determine laboratory trends in next-generation sequencing-based oncology testing. - These presented data provide key information about the number of laboratories that currently offer or are planning to offer next-generation sequencing-based oncology testing. Furthermore, we present data from 60 laboratories performing next-generation sequencing-based oncology testing regarding specimen requirements and assay characteristics. The findings indicate that most laboratories are performing tumor-only targeted sequencing to detect single-nucleotide variants and small insertions and deletions, using desktop sequencers and predesigned commercial kits. Despite these trends, a diversity of approaches to testing exists. - This information should be useful to further inform a variety of topics, including national discussions involving clinical laboratory quality systems, regulation and oversight of next-generation sequencing-based oncology testing, and precision oncology efforts in a data-driven manner.

A qualitative exploration of the informed consent process in hematopoietic cell transplantation clinical research and opportunities for improvement.

PubMed

Raj, M; Choi, S W; Platt, J

2017-02-01

Informed consent (IC) struggles to meet the ethical principles it strives to embody in the context of hematopoietic cell transplantation (HCT). Patients often participate in multiple clinical trials making it difficult to effectively inform the participants and fulfill complex regulations. The recent Notice of Proposed Rule Making would make major changes to federal requirements, providing a timely opportunity to evaluate existing practice. Twenty health care professionals within a Midwest Academic Medical Center involved in obtaining IC in the HCT clinic or involved in patient care during or after the IC process were interviewed to understand: (1) how they approached the IC process; (2) how they described a 'successful' IC process; and (3) opportunities for innovation. Narrative and discourse analyses of interviews indicate that providers understand IC to be a collaborative process requiring engagement and participation of providers, patients and caregivers. 'Markers of success' were identified including cognitive, affective and procedural markers focusing on patient understanding and comfort with the decision to participate. Opportunities for innovating the process included use of decision aids and tablet-based technology, and better use of patient portals. Our findings suggest specific interventions for the IC process that could support the process of consent for providers, patients and caregivers.

Natural Language Processing in Radiology: A Systematic Review.

PubMed

Pons, Ewoud; Braun, Loes M M; Hunink, M G Myriam; Kors, Jan A

2016-05-01

Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are stored for communication and documentation of diagnostic imaging, harnessing their potential requires efficient and automated information extraction: they exist mainly as free-text clinical narrative, from which it is a major challenge to obtain structured data. Natural language processing (NLP) provides techniques that aid the conversion of text into a structured representation, and thus enables computers to derive meaning from human (ie, natural language) input. Used on radiology reports, NLP techniques enable automatic identification and extraction of information. By exploring the various purposes for their use, this review examines how radiology benefits from NLP. A systematic literature search identified 67 relevant publications describing NLP methods that support practical applications in radiology. This review takes a close look at the individual studies in terms of tasks (ie, the extracted information), the NLP methodology and tools used, and their application purpose and performance results. Additionally, limitations, future challenges, and requirements for advancing NLP in radiology will be discussed. (©) RSNA, 2016 Online supplemental material is available for this article.

Decaying Relevance of Clinical Data Towards Future Decisions in Data-Driven Inpatient Clinical Order Sets

PubMed Central

Chen, Jonathan H; Alagappan, Muthuraman; Goldstein, Mary K; Asch, Steven M; Altman, Russ B

2017-01-01

Objective Determine how varying longitudinal historical training data can impact prediction of future clinical decisions. Estimate the “decay rate” of clinical data source relevance. Materials and Methods We trained a clinical order recommender system, analogous to Netflix or Amazon’s “Customers who bought A also bought B…” product recommenders, based on a tertiary academic hospital’s structured electronic health record data. We used this system to predict future (2013) admission orders based on different subsets of historical training data (2009 through 2012), relative to existing human-authored order sets. Results Predicting future (2013) inpatient orders is more accurate with models trained on just one month of recent (2012) data than with 12 months of older (2009) data (ROC AUC 0.91 vs. 0.88, precision 27% vs. 22%, recall 52% vs. 43%, all P<10−10). Algorithmically learned models from even the older (2009) data was still more effective than existing human-authored order sets (ROC AUC 0.81, precision 16% recall 35%). Training with more longitudinal data (2009–2012) was no better than using only the most recent (2012) data, unless applying a decaying weighting scheme with a “half-life” of data relevance about 4 months. Discussion Clinical practice patterns (automatically) learned from electronic health record data can vary substantially across years. Gold standards for clinical decision support are elusive moving targets, reinforcing the need for automated methods that can adapt to evolving information. Conclusions and Relevance Prioritizing small amounts of recent data is more effective than using larger amounts of older data towards future clinical predictions. PMID:28495350

A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications.

PubMed

Richesson, Rachel L; Smerek, Michelle M; Blake Cameron, C

2016-01-01

The ability to reproducibly identify clinically equivalent patient populations is critical to the vision of learning health care systems that implement and evaluate evidence-based treatments. The use of common or semantically equivalent phenotype definitions across research and health care use cases will support this aim. Currently, there is no single consolidated repository for computable phenotype definitions, making it difficult to find all definitions that already exist, and also hindering the sharing of definitions between user groups. Drawing from our experience in an academic medical center that supports a number of multisite research projects and quality improvement studies, we articulate a framework that will support the sharing of phenotype definitions across research and health care use cases, and highlight gaps and areas that need attention and collaborative solutions. An infrastructure for re-using computable phenotype definitions and sharing experience across health care delivery and clinical research applications includes: access to a collection of existing phenotype definitions, information to evaluate their appropriateness for particular applications, a knowledge base of implementation guidance, supporting tools that are user-friendly and intuitive, and a willingness to use them. We encourage prospective researchers and health administrators to re-use existing EHR-based condition definitions where appropriate and share their results with others to support a national culture of learning health care. There are a number of federally funded resources to support these activities, and research sponsors should encourage their use.

A Framework to Support the Sharing and Reuse of Computable Phenotype Definitions Across Health Care Delivery and Clinical Research Applications

PubMed Central

Richesson, Rachel L.; Smerek, Michelle M.; Blake Cameron, C.

2016-01-01

Introduction: The ability to reproducibly identify clinically equivalent patient populations is critical to the vision of learning health care systems that implement and evaluate evidence-based treatments. The use of common or semantically equivalent phenotype definitions across research and health care use cases will support this aim. Currently, there is no single consolidated repository for computable phenotype definitions, making it difficult to find all definitions that already exist, and also hindering the sharing of definitions between user groups. Method: Drawing from our experience in an academic medical center that supports a number of multisite research projects and quality improvement studies, we articulate a framework that will support the sharing of phenotype definitions across research and health care use cases, and highlight gaps and areas that need attention and collaborative solutions. Framework: An infrastructure for re-using computable phenotype definitions and sharing experience across health care delivery and clinical research applications includes: access to a collection of existing phenotype definitions, information to evaluate their appropriateness for particular applications, a knowledge base of implementation guidance, supporting tools that are user-friendly and intuitive, and a willingness to use them. Next Steps: We encourage prospective researchers and health administrators to re-use existing EHR-based condition definitions where appropriate and share their results with others to support a national culture of learning health care. There are a number of federally funded resources to support these activities, and research sponsors should encourage their use. PMID:27563686

The value of health care information exchange and interoperability.

PubMed

Walker, Jan; Pan, Eric; Johnston, Douglas; Adler-Milstein, Julia; Bates, David W; Middleton, Blackford

2005-01-01

In this paper we assess the value of electronic health care information exchange and interoperability (HIEI) between providers (hospitals and medical group practices) and independent laboratories, radiology centers, pharmacies, payers, public health departments, and other providers. We have created an HIEI taxonomy and combined published evidence with expert opinion in a cost-benefit model. Fully standardized HIEI could yield a net value of dollar 77.8 billion per year once fully implemented. Nonstandardized HIEI offers smaller positive financial returns. The clinical impact of HIEI for which quantitative estimates cannot yet be made would likely add further value. A compelling business case exists for national implementation of fully standardized HIEI.

Specialized Laboratory Information Systems.

PubMed

Dangott, Bryan

2015-06-01

Some laboratories or laboratory sections have unique needs that traditional anatomic and clinical pathology systems may not address. A specialized laboratory information system (LIS), which is designed to perform a limited number of functions, may perform well in areas where a traditional LIS falls short. Opportunities for specialized LISs continue to evolve with the introduction of new testing methodologies. These systems may take many forms, including stand-alone architecture, a module integrated with an existing LIS, a separate vendor-supplied module, and customized software. This article addresses the concepts underlying specialized LISs, their characteristics, and in what settings they are found. Copyright © 2015 Elsevier Inc. All rights reserved.

Specialized Laboratory Information Systems.

PubMed

Dangott, Bryan

2016-03-01

Some laboratories or laboratory sections have unique needs that traditional anatomic and clinical pathology systems may not address. A specialized laboratory information system (LIS), which is designed to perform a limited number of functions, may perform well in areas where a traditional LIS falls short. Opportunities for specialized LISs continue to evolve with the introduction of new testing methodologies. These systems may take many forms, including stand-alone architecture, a module integrated with an existing LIS, a separate vendor-supplied module, and customized software. This article addresses the concepts underlying specialized LISs, their characteristics, and in what settings they are found. Copyright © 2016 Elsevier Inc. All rights reserved.

Orienting health care information systems toward quality: how Group Health Cooperative of Puget Sound did it.

PubMed

Goverman, I L

1994-11-01

Group Health Cooperative of Puget Sound (GHC), a large staff-model health maintenance organization based in Seattle, is redesigning its information systems to provide the systems and information needed to support its quality agenda. Long-range planning for GHC's information resources was done in three phases. In assessment, interviews, surveys, and a benchmarking effort identified strengths and weaknesses of the existing information systems. We concluded that we needed to improve clinical care and patient management systems and enhance health plan applications. In direction setting, we developed six objectives (for example, approach information systems in a way that is consistent with quality improvement principles). Detailed planning was used to define projects, timing, and resource allocations. Some of the most important efforts in the resulting five-year plan include the development of (1) a computerized patient record; (2) a provider-based clinical workstation for access to patient information, order entry, results reporting, guidelines, and reminders; (3) a comprehensive set of patient management and service quality systems; (4) reengineered structures, policies, and processes within the health plan, supported by a complete set of integrated information systems; (5) a standardized, high-capacity communications network to provide linkages both within GHC and among its business partners; and (6) a revised oversight structure for information services, which forms partnerships with users. A quality focus ensured that each project not only produced its own benefits but also supported the larger organizational goals associated with "total" quality.

A case-based reasoning tool for breast cancer knowledge management with data mining concepts and techniques

NASA Astrophysics Data System (ADS)

Demigha, Souâd.

2016-03-01

The paper presents a Case-Based Reasoning Tool for Breast Cancer Knowledge Management to improve breast cancer screening. To develop this tool, we combine both concepts and techniques of Case-Based Reasoning (CBR) and Data Mining (DM). Physicians and radiologists ground their diagnosis on their expertise (past experience) based on clinical cases. Case-Based Reasoning is the process of solving new problems based on the solutions of similar past problems and structured as cases. CBR is suitable for medical use. On the other hand, existing traditional hospital information systems (HIS), Radiological Information Systems (RIS) and Picture Archiving Information Systems (PACS) don't allow managing efficiently medical information because of its complexity and heterogeneity. Data Mining is the process of mining information from a data set and transform it into an understandable structure for further use. Combining CBR to Data Mining techniques will facilitate diagnosis and decision-making of medical experts.

Informing the market: the strengths and weaknesses of information in the British National Health Service.

PubMed

McKee, M; Chenet, L

1997-06-01

Many countries are experimenting with planned (or quasi-) markets to discover if they can efficiently deliver health care in keeping with societal objectives. This paper examines the information requirements of this approach. Information is necessary in order to compare the performance of providers, to support billing, and to monitor access to care. It should be accurate, unambiguous, and resistant to manipulation. We draw on a project to find out how information on hospitalisation could be used in contracting in the British National Health Service. We conclude that the existing British system fails to provide robust measures of how many patients are treated, for what conditions, and with what treatments. We identify some promising remedies, others that are more difficult, and some which may be impossible to implement in any planned market, given the uncertainty of clinical practice.

Adaptation of clinical prediction models for application in local settings.

PubMed

Kappen, Teus H; Vergouwe, Yvonne; van Klei, Wilton A; van Wolfswinkel, Leo; Kalkman, Cor J; Moons, Karel G M

2012-01-01

When planning to use a validated prediction model in new patients, adequate performance is not guaranteed. For example, changes in clinical practice over time or a different case mix than the original validation population may result in inaccurate risk predictions. To demonstrate how clinical information can direct updating a prediction model and development of a strategy for handling missing predictor values in clinical practice. A previously derived and validated prediction model for postoperative nausea and vomiting was updated using a data set of 1847 patients. The update consisted of 1) changing the definition of an existing predictor, 2) reestimating the regression coefficient of a predictor, and 3) adding a new predictor to the model. The updated model was then validated in a new series of 3822 patients. Furthermore, several imputation models were considered to handle real-time missing values, so that possible missing predictor values could be anticipated during actual model use. Differences in clinical practice between our local population and the original derivation population guided the update strategy of the prediction model. The predictive accuracy of the updated model was better (c statistic, 0.68; calibration slope, 1.0) than the original model (c statistic, 0.62; calibration slope, 0.57). Inclusion of logistical variables in the imputation models, besides observed patient characteristics, contributed to a strategy to deal with missing predictor values at the time of risk calculation. Extensive knowledge of local, clinical processes provides crucial information to guide the process of adapting a prediction model to new clinical practices.

A comparison of social and spatial determinants of health between formal and informal settlements in a large metropolitan setting in Brazil.

PubMed

Snyder, Robert E; Jaimes, Guillermo; Riley, Lee W; Faerstein, Eduardo; Corburn, Jason

2014-06-01

Urban informal settlements are often under-recognized in national and regional surveys. A lack of quality intra-urban data frequently contributes to a one-size-fits-all public health intervention and clinical strategies that rarely address the variegated socioeconomic disparities across and within different informal settlements in a city. The 2010 Brazilian census gathered detailed population and place-based data across the country's informal settlements. Here, we examined key socio-demographic and infrastructure characteristics that are associated with health outcomes in Rio de Janeiro with the census tract as the unit of analysis. Many of the city's residents (1.39 million people, 22 % of the population) live in informal settlements. Residents of census tracts in Rio de Janeiro's urban informal areas are younger, (median age of 26 versus 35 years in formal settlements), and have less access to adequate water (96 versus 99 % of informal households), sanitation (86 versus 96 %), and electricity (67 versus 92 %). Average per household income in informal settlement census tracts is less than one third that of non-informal tracts (US\\$708 versus US\\$2362). Even among informal settlements in different planning areas in the same city, there is marked variation in these characteristics. Public health interventions, clinical management, and urban planning policies aiming to improve the living conditions of the people residing in informal settlements, including government strategies currently underway, must consider the differences that exist between and within informal settlements that shape place-based physical and social determinants of health.

An initiative to improve the management of clinically significant test results in a large health care network.

PubMed

Roy, Christopher L; Rothschild, Jeffrey M; Dighe, Anand S; Schiff, Gordon D; Graydon-Baker, Erin; Lenoci-Edwards, Jennifer; Dwyer, Cheryl; Khorasani, Ramin; Gandhi, Tejal K

2013-11-01

The failure of providers to communicate and follow up clinically significant test results (CSTR) is an important threat to patient safety. The Massachusetts Coalition for the Prevention of Medical Errors has endorsed the creation of systems to ensure that results can be received and acknowledged. In 2008 a task force was convened that represented clinicians, laboratories, radiology, patient safety, risk management, and information systems in a large health care network with the goals of providing recommendations and a road map for improvement in the management of CSTR and of implementing this improvement plan during the sub-force sequent five years. In drafting its charter, the task broadened the scope from "critical" results to "clinically significant" ones; clinically significant was defined as any result that requires further clinical action to avoid morbidity or mortality, regardless of the urgency of that action. The task force recommended four key areas for improvement--(1) standardization of policies and definitions, (2) robust identification of the patient's care team, (3) enhanced results management/tracking systems, and (4) centralized quality reporting and metrics. The task force faced many challenges in implementing these recommendations, including disagreements on definitions of CSTR and on who should have responsibility for CSTR, changes to established work flows, limitations of resources and of existing information systems, and definition of metrics. This large-scale effort to improve the communication and follow-up of CSTR in a health care network continues with ongoing work to address implementation challenges, refine policies, prepare for a new clinical information system platform, and identify new ways to measure the extent of this important safety problem.

Analysis of Nursing Clinical Decision Support Requests and Strategic Plan in a Large Academic Health System.

PubMed

Whalen, Kimberly; Bavuso, Karen; Bouyer-Ferullo, Sharon; Goldsmith, Denise; Fairbanks, Amanda; Gesner, Emily; Lagor, Charles; Collins, Sarah

2016-01-01

To understand requests for nursing Clinical Decision Support (CDS) interventions at a large integrated health system undergoing vendor-based EHR implementation. In addition, to establish a process to guide both short-term implementation and long-term strategic goals to meet nursing CDS needs. We conducted an environmental scan to understand current state of nursing CDS over three months. The environmental scan consisted of a literature review and an analysis of CDS requests received from across our health system. We identified existing high priority CDS and paper-based tools used in nursing practice at our health system that guide decision-making. A total of 46 nursing CDS requests were received. Fifty-six percent (n=26) were specific to a clinical specialty; 22 percent (n=10) were focused on facilitating clinical consults in the inpatient setting. "Risk Assessments/Risk Reduction/Promotion of Healthy Habits" (n=23) was the most requested High Priority Category received for nursing CDS. A continuum of types of nursing CDS needs emerged using the Data-Information-Knowledge-Wisdom Conceptual Framework: 1) facilitating data capture, 2) meeting information needs, 3) guiding knowledge-based decision making, and 4) exposing analytics for wisdom-based clinical interpretation by the nurse. Identifying and prioritizing paper-based tools that can be modified into electronic CDS is a challenge. CDS strategy is an evolving process that relies on close collaboration and engagement with clinical sites for short-term implementation and should be incorporated into a long-term strategic plan that can be optimized and achieved overtime. The Data-Information-Knowledge-Wisdom Conceptual Framework in conjunction with the High Priority Categories established may be a useful tool to guide a strategic approach for meeting short-term nursing CDS needs and aligning with the organizational strategic plan.

Development of Health Information Search Engine Based on Metadata and Ontology

PubMed Central

Song, Tae-Min; Jin, Dal-Lae

2014-01-01

Objectives The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. Methods Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. Results A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. Conclusions Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers. PMID:24872907

Development of health information search engine based on metadata and ontology.

PubMed

Song, Tae-Min; Park, Hyeoun-Ae; Jin, Dal-Lae

2014-04-01

The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.

Memory bias for threatening information in anxiety and anxiety disorders: a meta-analytic review.

PubMed

Mitte, Kristin

2008-11-01

Although some theories suggest that anxious individuals selectively remember threatening stimuli, findings remain contradictory despite a considerable amount of research. A quantitative integration of 165 studies with 9,046 participants (clinical and nonclinical samples) examined whether a memory bias exists and which moderator variables influence its magnitude. Implicit memory bias was investigated in lexical decision/stimulus identification and word-stem completion paradigms; explicit memory bias was investigated in recognition and recall paradigms. Overall, effect sizes showed no significant impact of anxiety on implicit memory and recognition. Analyses indicated a memory bias for recall, whose magnitude depended on experimental study procedures like the encoding procedure or retention interval. Anxiety influenced recollection of previous experiences; anxious individuals favored threat-related information. Across all paradigms, clinical status was not significantly linked to effect sizes, indicating no qualitative difference in information processing between anxiety patients and high-anxious persons. The large discrepancy between study effects in recall and recognition indicates that future research is needed to identify moderator variables for avoidant and preferred remembering.

Measuring Integration of Cancer Services to Support Performance Improvement: The CSI Survey

PubMed Central

Dobrow, Mark J.; Paszat, Lawrence; Golden, Brian; Brown, Adalsteinn D.; Holowaty, Eric; Orchard, Margo C.; Monga, Neerav; Sullivan, Terrence

2009-01-01

Objective: To develop a measure of cancer services integration (CSI) that can inform clinical and administrative decision-makers in their efforts to monitor and improve cancer system performance. Methods: We employed a systematic approach to measurement development, including review of existing cancer/health services integration measures, key-informant interviews and focus groups with cancer system leaders. The research team constructed a Web-based survey that was field- and pilot-tested, refined and then formally conducted on a sample of cancer care providers and administrators in Ontario, Canada. We then conducted exploratory factor analysis to identify key dimensions of CSI. Results: A total of 1,769 physicians, other clinicians and administrators participated in the survey, responding to a 67-item questionnaire. The exploratory factor analysis identified 12 factors that were linked to three broader dimensions: clinical, functional and vertical system integration. Conclusions: The CSI Survey provides important insights on a range of typically unmeasured aspects of the coordination and integration of cancer services, representing a new tool to inform performance improvement efforts. PMID:20676250

Role of the Australian Paediatric Surveillance Unit in monitoring communicable diseases of childhood.

PubMed

Williams, K; Elliott, E

1998-12-24

The Australian Paediatric Surveillance Unit (APSU) conducts active national surveillance of conditions affecting children, including communicable diseases and their complications. By mailing over 900 clinicians each month the APSU gathers national information, not available from other sources, about the incidence, demographic and clinical features of these conditions. In some conditions APSU data supplements that available from existing schemes. The APSU has monitored 20 conditions to date. Eight of these are communicable diseases or their complications, two have a possible infectious aetiology and one frequently presents with infection. Since its inception in 1993 the return rate of monthly report cards by the mailing list has increased from 88 per cent to 94 per cent. Return rate of questionnaires for the communicable diseases studied ranged from 74 per cent to 100 per cent. Studies have enabled estimation of disease incidence, identification of risk factors and possible preventive strategies and provision of detailed clinical information. Although the APSU cannot serve a public health role by case identification and contact tracing it provides information that contributes to the communicable disease strategy for Australia.

Enhancement of CLAIM (clinical accounting information) for a localized Chinese version.

PubMed

Guo, Jinqiu; Takada, Akira; Niu, Tie; He, Miao; Tanaka, Koji; Sato, Junzo; Suzuki, Muneou; Takahashi, Kiwamu; Daimon, Hiroyuki; Suzuki, Toshiaki; Nakashima, Yusei; Araki, Kenji; Yoshihara, Hiroyuki

2005-10-01

CLinical Accounting InforMation (CLAIM) is a standard for the exchange of data between patient accounting systems and electronic medical record (EMR) systems. It uses eXtensible Markup Language (XML) as a meta-language and was developed in Japan. CLAIM is subordinate to the Medical Markup Language (MML) standard, which allows the exchange of medical data between different medical institutions. It has inherited the basic structure of MML 2.x and the current version, version 2.1, contains two modules and nine data definition tables. In China, no data exchange standard yet exists that links EMR systems to accounting systems. Taking advantage of CLAIM's flexibility, we created a localized Chinese version based on CLAIM 2.1. Since Chinese receipt systems differ from those of Japan, some information such as prescription formats, etc. are also different from those in Japan. Two CLAIM modules were re-engineered and six data definition tables were either added or redefined. The Chinese version of CLAIM takes local needs into account, and consequently it is now possible to transfer data between the patient accounting systems and EMR systems of Chinese medical institutions effectively.

Use of health information technology to advance evidence-based care: lessons from the VA QUERI program.

PubMed

Hynes, Denise M; Weddle, Timothy; Smith, Nina; Whittier, Erika; Atkins, David; Francis, Joseph

2010-01-01

As the Department of Veterans Affairs (VA) Health Services Research and Development Service's Quality Enhancement Research Initiative (QUERI) has progressed, health information technology (HIT) has occupied a crucial role in implementation research projects. We evaluated the role of HIT in VA QUERI implementation research, including HIT use and development, the contributions implementation research has made to HIT development, and HIT-related barriers and facilitators to implementation research. Key informants from nine disease-specific QUERI Centers. Documentation analysis of 86 implementation project abstracts followed up by semi-structured interviews with key informants from each of the nine QUERI centers. We used qualitative and descriptive analyses. We found: (1) HIT provided data and information to facilitate implementation research, (2) implementation research helped to further HIT development in a variety of uses including the development of clinical decision support systems (23 of 86 implementation research projects), and (3) common HIT barriers to implementation research existed but could be overcome by collaborations with clinical and administrative leadership. Our review of the implementation research progress in the VA revealed interdependency on an HIT infrastructure and research-based development. Collaboration with multiple stakeholders is a key factor in successful use and development of HIT in implementation research efforts and in advancing evidence-based practice.

Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records.

PubMed

Jackson, Richard; Patel, Rashmi; Velupillai, Sumithra; Gkotsis, George; Hoyle, David; Stewart, Robert

2018-01-01

Background: Deep Phenotyping is the precise and comprehensive analysis of phenotypic features in which the individual components of the phenotype are observed and described. In UK mental health clinical practice, most clinically relevant information is recorded as free text in the Electronic Health Record, and offers a granularity of information beyond what is expressed in most medical knowledge bases. The SNOMED CT nomenclature potentially offers the means to model such information at scale, yet given a sufficiently large body of clinical text collected over many years, it is difficult to identify the language that clinicians favour to express concepts. Methods: By utilising a large corpus of healthcare data, we sought to make use of semantic modelling and clustering techniques to represent the relationship between the clinical vocabulary of internationally recognised SMI symptoms and the preferred language used by clinicians within a care setting. We explore how such models can be used for discovering novel vocabulary relevant to the task of phenotyping Serious Mental Illness (SMI) with only a small amount of prior knowledge.  Results: 20 403 terms were derived and curated via a two stage methodology. The list was reduced to 557 putative concepts based on eliminating redundant information content. These were then organised into 9 distinct categories pertaining to different aspects of psychiatric assessment. 235 concepts were found to be expressions of putative clinical significance. Of these, 53 were identified having novel synonymy with existing SNOMED CT concepts. 106 had no mapping to SNOMED CT. Conclusions: We demonstrate a scalable approach to discovering new concepts of SMI symptomatology based on real-world clinical observation. Such approaches may offer the opportunity to consider broader manifestations of SMI symptomatology than is typically assessed via current diagnostic frameworks, and create the potential for enhancing nomenclatures such as SNOMED CT based on real-world expressions.

Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records

PubMed Central

Jackson, Richard; Patel, Rashmi; Velupillai, Sumithra; Gkotsis, George; Hoyle, David; Stewart, Robert

2018-01-01

Background: Deep Phenotyping is the precise and comprehensive analysis of phenotypic features in which the individual components of the phenotype are observed and described. In UK mental health clinical practice, most clinically relevant information is recorded as free text in the Electronic Health Record, and offers a granularity of information beyond what is expressed in most medical knowledge bases. The SNOMED CT nomenclature potentially offers the means to model such information at scale, yet given a sufficiently large body of clinical text collected over many years, it is difficult to identify the language that clinicians favour to express concepts. Methods: By utilising a large corpus of healthcare data, we sought to make use of semantic modelling and clustering techniques to represent the relationship between the clinical vocabulary of internationally recognised SMI symptoms and the preferred language used by clinicians within a care setting. We explore how such models can be used for discovering novel vocabulary relevant to the task of phenotyping Serious Mental Illness (SMI) with only a small amount of prior knowledge.  Results: 20 403 terms were derived and curated via a two stage methodology. The list was reduced to 557 putative concepts based on eliminating redundant information content. These were then organised into 9 distinct categories pertaining to different aspects of psychiatric assessment. 235 concepts were found to be expressions of putative clinical significance. Of these, 53 were identified having novel synonymy with existing SNOMED CT concepts. 106 had no mapping to SNOMED CT. Conclusions: We demonstrate a scalable approach to discovering new concepts of SMI symptomatology based on real-world clinical observation. Such approaches may offer the opportunity to consider broader manifestations of SMI symptomatology than is typically assessed via current diagnostic frameworks, and create the potential for enhancing nomenclatures such as SNOMED CT based on real-world expressions. PMID:29899974

Prioritization in comparative effectiveness research: the CANCERGEN Experience.

PubMed

Thariani, Rahber; Wong, William; Carlson, Josh J; Garrison, Louis; Ramsey, Scott; Deverka, Patricia A; Esmail, Laura; Rangarao, Sneha; Hoban, Carolyn J; Baker, Laurence H; Veenstra, David L

2012-05-01

Systematic approaches to stakeholder-informed research prioritization are a central focus of comparative effectiveness research. Genomic testing in cancer is an ideal area to refine such approaches given rapid innovation and potentially significant impacts on patient outcomes. To develop and pilot test a stakeholder-informed approach to prioritizing genomic tests for future study in collaboration with the cancer clinical trials consortium SWOG. We conducted a landscape analysis to identify genomic tests in oncology using a systematic search of published and unpublished studies, and expert consultation. Clinically valid tests suitable for evaluation in a comparative study were presented to an external stakeholder group. Domains to guide the prioritization process were identified with stakeholder input, and stakeholders ranked tests using multiple voting rounds. A stakeholder group was created including representatives from patient-advocacy groups, payers, test developers, regulators, policy makers, and community-based oncologists. We identified 9 domains for research prioritization with stakeholder feedback: population impact; current standard of care, strength of association; potential clinical benefits, potential clinical harms, economic impacts, evidence of need, trial feasibility, and market factors. The landscape analysis identified 635 studies; of 9 tests deemed to have sufficient clinical validity, 6 were presented to stakeholders. Two tests in lung cancer (ERCC1 and EGFR) and 1 test in breast cancer (CEA/CA15-3/CA27.29) were identified as top research priorities. Use of a diverse stakeholder group to inform research prioritization is feasible in a pragmatic and timely manner. Additional research is needed to optimize search strategies, stakeholder group composition, and integration with existing prioritization mechanisms.

Prioritization in Comparative Effectiveness Research: The CANCERGEN Experience in Cancer Genomics

PubMed Central

Thariani, Rahber; Wong, William; Carlson, Josh J; Garrison, Louis; Ramsey, Scott; Deverka, Patricia A; Esmail, Laura; Rangarao, Sneha; Hoban, Carolyn J; Baker, Laurence H; Veenstra, David L

2012-01-01

Background Systematic approaches to stakeholder-informed research prioritization are a central focus of comparative effectiveness research. Genomic testing in cancer is an ideal area to refine such approaches given rapid innovation and potentially significant impacts on patient outcomes. Objective To develop and pilot-test a stakeholder-informed approach to prioritizing genomic tests for future study in collaboration with the cancer clinical trials consortium SWOG. Methods We conducted a landscape-analysis to identify genomic tests in oncology using a systematic search of published and unpublished studies, and expert consultation. Clinically valid tests suitable for evaluation in a comparative study were presented to an external stakeholder group. Domains to guide the prioritization process were identified with stakeholder input, and stakeholders ranked tests using multiple voting rounds. Results A stakeholder group was created including representatives from patient-advocacy groups, payers, test developers, regulators, policy-makers, and community-based oncologists. We identified nine domains for research prioritization with stakeholder feedback: population impact; current standard of care, strength of association; potential clinical benefits, potential clinical harms, economic impacts, evidence of need, trial feasibility, and market factors. The landscape-analysis identified 635 studies; of 9 tests deemed to have sufficient clinical validity, 6 were presented to stakeholders. Two tests in lung cancer (ERCC1 and EGFR) and one test in breast cancer (CEA/CA15-3/CA27.29) were identified as top research priorities. Conclusions Use of a diverse stakeholder group to inform research prioritization is feasible in a pragmatic and timely manner. Additional research is needed to optimize search strategies, stakeholder group composition and integration with existing prioritization mechanisms. PMID:22274803

Is Whole-Exome Sequencing an Ethically Disruptive Technology? Perspectives of Pediatric Oncologists and Parents of Pediatric Patients With Solid Tumors.

PubMed

McCullough, Laurence B; Slashinski, Melody J; McGuire, Amy L; Street, Richard L; Eng, Christine M; Gibbs, Richard A; Parsons, D William; Plon, Sharon E

2016-03-01

It has been anticipated that physician and parents will be ill prepared or unprepared for the clinical introduction of genome sequencing, making it ethically disruptive. As a part of the Baylor Advancing Sequencing in Childhood Cancer Care study, we conducted semistructured interviews with 16 pediatric oncologists and 40 parents of pediatric patients with cancer prior to the return of sequencing results. We elicited expectations and attitudes concerning the impact of sequencing on clinical decision making, clinical utility, and treatment expectations from both groups. Using accepted methods of qualitative research to analyze interview transcripts, we completed a thematic analysis to provide inductive insights into their views of sequencing. Our major findings reveal that neither pediatric oncologists nor parents anticipate sequencing to be an ethically disruptive technology, because they expect to be prepared to integrate sequencing results into their existing approaches to learning and using new clinical information for care. Pediatric oncologists do not expect sequencing results to be more complex than other diagnostic information and plan simply to incorporate these data into their evidence-based approach to clinical practice, although they were concerned about impact on parents. For parents, there is an urgency to protect their child's health and in this context they expect genomic information to better prepare them to participate in decisions about their child's care. Our data do not support the concern that introducing genome sequencing into childhood cancer care will be ethically disruptive, that is, leave physicians or parents ill prepared or unprepared to make responsible decisions about patient care. © 2015 Wiley Periodicals, Inc.

Is Whole Exome Sequencing an Ethically Disruptive Technology? Perspectives of Pediatric Oncologists and Parents of Pediatric Patients with Solid Tumors

PubMed Central

McCullough, Laurence B.; Slashinski, Melody J.; McGuire, Amy L.; Street, Richard L.; Eng, Christine M.; Gibbs, Richard A.; Parsons, D. Williams; Plon, Sharon E.

2016-01-01

Background Some anticipate that physician and parents will be ill-prepared or unprepared for the clinical introduction of genome sequencing, making it ethically disruptive. Procedure As part of the Baylor Advancing Sequencing in Childhood Cancer Care (BASIC3) study, we conducted semi-structured interviews with 16 pediatric oncologists and 40 parents of pediatric patients with cancer prior to the return of sequencing results. We elicited expectations and attitudes concerning the impact of sequencing on clinical decision-making, clinical utility, and treatment expectations from both groups. Using accepted methods of qualitative research to analyze interview transcripts, we completed a thematic analysis to provide inductive insights into their views of sequencing. Results Our major findings reveal that neither pediatric oncologists nor parents anticipate sequencing to be an ethically disruptive technology, because they expect to be prepared to integrate sequencing results into their existing approaches to learning and using new clinical information for care. Pediatric oncologists do not expect sequencing results to be more complex than other diagnostic information and plan simply to incorporate these data into their evidence-based approach to clinical practice although they were concerned about impact on parents. For parents, there is an urgency to protect their chil's health and in this context they expect genomic information to better prepare them to participate in decisions about their chil's care. Conclusion Our data do not support concern that introducing genome sequencing into childhood cancer care will be ethically disruptive, i.e., leave physicians or parents ill-prepared or unprepared to make responsible decisions about patient care. PMID:26505993

A framework to develop a clinical learning culture in health facilities: ideas from the literature.

PubMed

Henderson, A; Briggs, J; Schoonbeek, S; Paterson, K

2011-06-01

Internationally, there is an increase in demand to educate nurses within the clinical practice environment. Clinical practice settings that encourage teaching and learning during episodes of care delivery can be powerful in educating both the existing nursing workforce and nursing students. This paper presents a framework, informed by the literature, that identifies the key factors that are needed to encourage the interactions fundamental to learning in clinical practice. Learning occurs when nurses demonstrate good practice, share their knowledge through conversations and discussions, and also provide feedback to learners, such as students and novices. These types of interactions occur when positive leadership practices encourage trust and openness between staff; when the management team provides sessions for staff to learn how to interact with learners, and also when partnerships provide support and guidance around learning in the workplace. APPLICATION OF CONCEPTS: This framework presents how the concepts of leadership, management and partnership interact to create and sustain learning environments. The feedback from proposed measurement tools can provide valuable information about the positive and negative aspects of these concepts in the clinical learning environment. Analysis of the subscales can assist in identifying appropriate recommended strategies outlined in the framework to guide nurses in improving the recognized deficits in the relationship between the concepts. Leadership, management and partnerships are pivotal for the creation and maintenance of positive learning environments. Diagnostic measurement tools can provide specific information about weaknesses across these areas. This knowledge can guide future initiatives. © 2011 The Authors. International Nursing Review © 2011 International Council of Nurses.

Mechanisms of change for interventions aimed at improving the wellbeing, mental health and resilience of children and adolescents affected by war and armed conflict: a systematic review of reviews.

PubMed

Bosqui, Tania Josiane; Marshoud, Bassam

2018-01-01

Despite increasing research and clinical interest in delivering psychosocial interventions for children affected by war, little research has been conducted on the underlying mechanisms of change associated with these interventions. This review aimed to identify these processes in order to inform existing interventions and highlight research gaps. A systematic review of reviews was conducted drawing from academic databases (PubMed, PILOTS, Cochrane Library for Systematic Reviews) and field resources (e.g. Médecins Sans Frontières and the Psychosocial Centre of the International Federation of Red Cross and Red Crescent Societies), with extracted data analysed using Thematic Content Analysis. Thirteen reviews of psychosocial or psychological interventions for children and adolescents (< 25 years old) affected by war, armed conflict or political violence were identified, covering over 30 countries worldwide. Qualitative analysis identified 16 mechanisms of change, one of which was an adverse mechanism. Themes included protection from harm, play, community and family capacity building, strengthening relationships with caregivers, improved emotional regulation, therapeutic rapport, trauma processing, and cognitive restructuring; with the adverse mechanism relating to the pathologising of normal reactions. However, only 4 mechanisms were supported by strong empirical evidence, with only moderate or poor quality evidence supporting the other mechanisms. The poor quality of supporting evidence limits what can be inferred from this review's findings, but serves to highlight clinically informed mechanisms of change for existing and widely used non-specialist interventions in the field, which urgently need rigorous scientific testing to inform their continued practice.

Clinical validity of the Me and My School questionnaire: a self-report mental health measure for children and adolescents.

PubMed

Patalay, Praveetha; Deighton, Jessica; Fonagy, Peter; Vostanis, Panos; Wolpert, Miranda

2014-01-01

The Me and My School Questionnaire (M&MS) is a self-report measure for children aged eight years and above that measures emotional difficulties and behavioural difficulties, and has been previously validated in a community sample. The present study aimed to assess its clinical sensitivity to justify its utility as a screening tool in schools. Data were collected from service-users (n = 91, 8-15 years) and accompanying parent/carer in outpatient mental health services in England. A matched community sample (N = 91) were used to assess the measure's ability to discriminate between low- and high-risk samples. Receiver operating curves (area under the curve, emotional difficulties = .79; behavioural difficulties = .78), mean comparisons (effect size, emotional difficulties d = 1.17, behavioural difficulties = 1.12) and proportions above clinical thresholds indicate that the measure satisfactorily discriminates between the samples. The scales have good internal reliability (emotional difficulties α = .84; behavioural difficulties α = .82) and cross-informant agreement with parent-reported symptoms is comparable to existing measures (r = .30). The findings of this study indicate that the M&MS sufficiently discriminates between high-risk (clinic) and low-risk (community) samples, has good internal reliability, compares favourably with existing self-report measures of mental health and has comparable levels of agreement between parent-report and self-report to other measures. Alongside existing validation of the M&MS, these findings justify the measures use as a self-report screening tool for mental health problems in community settings for children aged as young as 8 years.

The administration of rescue medication to children with prolonged acute convulsive seizures in the community: what happens in practice?

PubMed

Wait, Suzanne; Lagae, Lieven; Arzimanoglou, Alexis; Beghi, Ettore; Bennett, Christine; Cross, J Helen; Mifsud, Janet; Schmidt, Dieter; Harvey, Gordon

2013-01-01

This paper presents the findings of a review of existing clinical and non-clinical guidance on the management of children with prolonged acute convulsive seizures (PCS) and the administration of rescue medication in community settings. Findings are based on desk- and web-based research in 6 countries. Published clinical guidelines are mostly limited to the hospital setting and offer few explicit recommendations for community settings. Non-clinical guidance on the management of medicines at school exists at the national or regional level in all 6 countries, however rescue epilepsy medication is often not mentioned specifically. Existing legal frameworks are vague and open to interpretation. As a result, whether a child receives rescue medication at school depends primarily on the availability of a willing teacher who accepts responsibility for administering it to that child during school hours. Comprehensive guidelines are clearly needed that provide practical guidance to ensure that children with PCS are treated as quickly as possible in all community settings. Recommendations for future action include: providing clearer information on PCS and rescue medication to parents and schools; putting in place an individual healthcare plan for every child with a history of PCS at his or her school; collecting more empirical data to gain a better understanding of the experience of children with PCS at school, their parents and teachers; and finally, implementing systematic training for all carers of children with PCS. The epilepsy specialist may play an important role in ensuring that these recommendations are put into place for their patients. Copyright © 2012 European Paediatric Neurology Society. Published by Elsevier Ltd. All rights reserved.

An Evaluation of Understandability of Patient Journey Models in Mental Health

PubMed Central

2016-01-01

Background There is a significant trend toward implementing health information technology to reduce administrative costs and improve patient care. Unfortunately, little awareness exists of the challenges of integrating information systems with existing clinical practice. The systematic integration of clinical processes with information system and health information technology can benefit the patients, staff, and the delivery of care. Objectives This paper presents a comparison of the degree of understandability of patient journey models. In particular, the authors demonstrate the value of a relatively new patient journey modeling technique called the Patient Journey Modeling Architecture (PaJMa) when compared with traditional manufacturing based process modeling tools. The paper also presents results from a small pilot case study that compared the usability of 5 modeling approaches in a mental health care environment. Method Five business process modeling techniques were used to represent a selected patient journey. A mix of both qualitative and quantitative methods was used to evaluate these models. Techniques included a focus group and survey to measure usability of the various models. Results The preliminary evaluation of the usability of the 5 modeling techniques has shown increased staff understanding of the representation of their processes and activities when presented with the models. Improved individual role identification throughout the models was also observed. The extended version of the PaJMa methodology provided the most clarity of information flows for clinicians. Conclusions The extended version of PaJMa provided a significant improvement in the ease of interpretation for clinicians and increased the engagement with the modeling process. The use of color and its effectiveness in distinguishing the representation of roles was a key feature of the framework not present in other modeling approaches. Future research should focus on extending the pilot case study to a more diversified group of clinicians and health care support workers. PMID:27471006

Clinical balance assessment: perceptions of commonly-used standardized measures and current practices among physiotherapists in Ontario, Canada.

PubMed

Sibley, Kathryn M; Straus, Sharon E; Inness, Elizabeth L; Salbach, Nancy M; Jaglal, Susan B

2013-03-20

Balance impairment is common in multiple clinical populations, and comprehensive assessment is important for identifying impairments, planning individualized treatment programs, and evaluating change over time. However, little information is available regarding whether clinicians who treat balance are satisfied with existing assessment tools. In 2010 we conducted a cross-sectional survey of balance assessment practices among physiotherapists in Ontario, Canada, and reported on the use of standardized balance measures (Sibley et al. 2011 Physical Therapy; 91: 1583-91). The purpose of this study was to analyse additional survey data and i) evaluate satisfaction with current balance assessment practices and standardized measures among physiotherapists who treat adult or geriatric populations with balance impairment, and ii) identify factors associated with satisfaction. The questionnaire was distributed to 1000 practicing physiotherapists. This analysis focuses on questions in which respondents were asked to rate their general perceptions about balance assessment, the perceived utility of individual standardized balance measures, whether they wanted to improve balance assessment practices, and why. Data were summarized with descriptive statistics and utility of individual measures was compared across clinical practice areas (orthopaedic, neurological, geriatric or general rehabilitation). The questionnaire was completed by 369 respondents, of which 43.4% of respondents agreed that existing standardized measures of balance meet their needs. In ratings of individual measures, the Single Leg Stance test and Berg Balance Scale were perceived as useful for clinical decision-making and evaluating change over time by over 70% of respondents, and the Timed Up-and-Go test was perceived as useful for decision-making by 56.9% of respondents and useful for evaluating change over time by 62.9% of respondents, but there were significant differences across practice groups. Seventy-nine percent of respondents wanted to improve their assessments, identifying individual, environmental and measure-specific barriers. The most common barriers were lack of time and knowledge. This study offers new information on issues affecting the evaluation of balance in clinical settings from a broad sample of physiotherapists. Continued work to address barriers by specific practice area will be critical for the success of any intervention attempting to implement optimal balance assessment practices in the clinical setting.

Adult Congenital Cardiac Care.

PubMed

Kogon, Brian E; Miller, Kati; Miller, Paula; Alsoufi, Bahaaldin; Rosenblum, Joshua M

2017-03-01

The Adult Congenital Heart Association (ACHA) is dedicated to supporting patients with congenital heart disease. To guide patients to qualified providers and programs, it maintains a publicly accessible directory of dedicated adult congenital cardiac programs. We analyzed the directory in 2006 and 2015, aiming to evaluate the growth of the directory as a whole and to evaluate the growth of individual programs within the directory. We also hope this raises awareness of the growing opportunities that exist in adult congenital cardiology and cardiac surgery. Data in the directory are self-reported. Only data from US programs were collected and analyzed. By the end of 2015, compared to 2006, there were more programs reporting to the directory in more states (107 programs across 42 states vs 57 programs across 33 states), with higher overall clinical volume (591 vs 164 half-day clinics per week, 96,611 vs 34,446 patient visits). On average, each program was busier (5 vs 2 half-day clinics per week per program). Over the time period, the number of reported annual operations performed nearly doubled (4,346 operations by 210 surgeons vs 2,461 operations by 125 surgeons). Access to ancillary services including specific clinical diagnostic and therapeutic services also expanded. Between 2006 and 2015, the clinical directory and the individual programs have grown. Current directory data may provide benchmarks for staffing and services for newly emerging and existing programs. Verifying the accuracy of the information and inclusion of all programs will be important in the future.

Using quality and safety education for nurses to guide clinical teaching on a new dedicated education unit.

PubMed

McKown, Terri; McKeon, Leslie; McKown, Leslie; Webb, Sherry

2011-12-01

Gaps exist in health professional education versus the demands of current practice. Leveraging front-line nurses to teach students exemplary practice in a Dedicated Education Unit (DEU) may narrow this gap. The DEU is an innovative model for experiential learning, capitalizing on the expertise of staff nurses as clinical teachers. This study evaluated the effectiveness of a new academic-practice DEU in facilitating quality and safety competency achievement among students. Six clinical teachers received education in clinical teaching and use of Quality and Safety Education for Nurses (QSEN) competencies to guide acquisition of essential knowledge, skills, and attitudes for continuous health care improvement. Twelve students assigned to the six teachers completed daily logs for the 10-week practicum. Findings suggest that DEU students achieved QSEN competencies through clinical teacher mentoring in interdisciplinary collaboration, using electronic information for best practice and patient teaching, patient/family decision making, quality improvement, and resolution of safety issues.

Foresight scanning: future directions of clinical and pharmaceutical research.

PubMed

Foster, Brian C

2008-01-01

Foresight Scanning: Future Directions of Clinical and Pharmaceutical Research. Brian C. Foster, Therapeutic Products Directorate, Health Canada, Ottawa, Ontario, Canada ABSTRACT The Canadian Society for Pharmaceutical Sciences Satellite Symposium on Foresight Scanning, May 26 and 27, 2008, Nordegg, Alberta, Canada, focussed on the future directions of clinical and pharmaceutical research. The symposium brought together a group of clinicians, regulatory scientists, researchers and students to examine where clinical, pharmaceutical, and regulatory science might be in 10 to 15 years. Industry, regulatory, analytical, and clinical perspectives were presented and discussed, as well as the impact of exogenous (indirect) and endogenous (direct) change drivers. Unconditional funding was provided by Bayer HealthCare; they had no input on the direction of the meeting or selection of speakers. It was envisioned that the more important endogenous drivers may not be new information or changes in technology, policy, regulation, or health care delivery, but amplification of long-term underlying trends by emergence of new technologies, convergence of existing technologies or new communication and collaboration vehicles such as Web 2.0.

Operational experience with DICOM for the clinical specialties in the healthcare enterprise

NASA Astrophysics Data System (ADS)

Kuzmak, Peter M.; Dayhoff, Ruth E.

2004-04-01

A number of clinical specialties routinely use images in treating patients, for example ophthalmology, dentistry, cardiology, endoscopy, and surgery. These images are captured by a variety of commercial digital image acquisition systems. The US Department of Veterans Affairs has been working for several years on advancing the use of the Digital Imaging and Communications in Medicine (DICOM) Standard in these clinical specialties. This is an effort that has involved several facets: (1) working with the vendors to ensure that they satisfy existing DICOM requirements, (2) developing interface software to the VistA hospital information system (HIS), (3) field testing DICOM systems, (4) deploying these DICOM interfaces nation-wide to all VA medical centers, (5) working with the healthcare providers using the system, and (6) participating in the DICOM working groups to improve the standard. The VA is now beginning to develop clinical applications that make use of the DICOM interfaces in the clinical specialties. The first of these will be in ophthalmology to remotely screen patients for diabetic retinopathy.

A review of educational strategies to improve nurses' roles in recognizing and responding to deteriorating patients.

PubMed

Liaw, S Y; Scherpbier, A; Klainin-Yobas, P; Rethans, J-J

2011-09-01

Physiological instability leading to clinical deterioration often precedes cardiopulmonary arrest. Nurses, who have the most frequent patient contact and responsibility for ongoing monitoring of patients, play a crucial role in recognizing and responding to clinical deterioration. The importance of education in supporting such a role has been addressed in numerous studies. This study aimed to identify nurses' educational needs and explore educational strategies to enhance their ability in recognizing and managing wards with deteriorating patients. A literature search from databases (2000-2010) was undertaken to include papers that identified the educational needs of ward nurses and existing educational programmes related to the care of deteriorating patients. Twenty-six papers were included in this review. Findings identified the educational need to empower nurses with the appropriate knowledge and skills in recognizing, reporting and responding to patient deterioration. The review of existing educational programmes and their outcomes identified valuable teaching information and strategies, and areas that could be improved in meeting nurses' educational needs. The review has highlighted important aspects of patient safety in clinical deterioration that could be further addressed by educational strategies targeting the role of ward nurses. These strategies include: utilizing clinical decision-making models to develop nurses' decision making skills; developing a standardized tool for systematic nursing assessment and management of clinical deterioration; incorporating training in clinical deterioration as a core competence of pre-registered nursing education; providing vital signs training to nursing assistants; and conducting more rigorous studies to evaluate the effectiveness of the educational programmes. © 2011 The Authors. International Nursing Review © 2011 International Council of Nurses.

Testing the effects of brief intervention in primary care for problem drug use in a randomized controlled trial: rationale, design, and methods.

PubMed

Krupski, Antoinette; Joesch, Jutta M; Dunn, Chris; Donovan, Dennis; Bumgardner, Kristin; Lord, Sarah Peregrine; Ries, Richard; Roy-Byrne, Peter

2012-12-14

A substantial body of research has established the effectiveness of brief interventions for problem alcohol use. Following these studies, national dissemination projects of screening, brief intervention (BI), and referral to treatment (SBIRT) for alcohol and drugs have been implemented on a widespread scale in multiple states despite little existing evidence for the impact of BI on drug use for non-treatment seekers. This article describes the design of a study testing the impact of SBIRT on individuals with drug problems, its contributions to the existing literature, and its potential to inform drug policy. The study is a randomized controlled trial of an SBIRT intervention carried out in a primary care setting within a safety net system of care. Approximately 1,000 individuals presenting for scheduled medical care at one of seven designated primary care clinics who endorse problematic drug use when screened are randomized in a 1:1 ratio to BI versus enhanced care as usual (ECAU). Individuals in both groups are reassessed at 3, 6, 9, and 12 months after baseline. Self-reported drug use and other psychosocial measures collected at each data point are supplemented by urine analysis and public health-related data from administrative databases. This study will contribute to the existing literature by providing evidence for the impact of BI on problem drug use based on a broad range of measures including self-reported drug use, urine analysis, admission to drug abuse treatment, and changes in utilization and costs of health care services, arrests, and death with the intent of informing policy and program planning for problem drug use at the local, state, and national levels. ClinicalTrials.gov NCT00877331.

The Biomarker Knowledge System Informatics Pilot Project Supplement To The Biomarker Development Laboratory at Moffitt (Bedlam) — EDRN Public Portal

Cancer.gov

The Biomarker Knowledge System Informatics Pilot Project goal will develop network interfaces among databases that contain information about existing clinical populations and biospecimens and data relating to those specimens that are important in biomarker assay validation. This protocol comprises one of two that will comprise the Moffitt participation in the Biomarker Knowledge System Informatics Pilot Project. THIS PROTOCOL (58) is the Sput-Epi Database.

Proceedings: User’s Workshop on Combat Stress Held at Fort Sam Houston, Texas on 2-4 September 1981.

DTIC Science & Technology

1983-12-01

Primary Treatment Principle * Clinical Picture: Tremors, Paralysis, Mutism , Ganser Syndrome 5. WW II * No Effective Treatment-Evacuation Policy Existed...there is a lack of specific detailed tasks and the amount of time expended in these tasks for selected specialty skill identifiers. Information is...The study objective is the identification of the various tasks to be per- formed by selected specialty skill identifiers dealing with psychiatric

Advances in nuclear medicine.

PubMed

Selberg, Kurt; Ross, Michael

2012-12-01

Nuclear scintigraphy is a mainstay of diagnostic imaging and has preserved its relevance in the imaging of acute and chronic trauma. It is particularly useful in the evaluation of athletic injuries. Pitfalls of interpretation, false negatives and false positives exist as with many imaging modalities. Synthesis of physical exam findings, lameness evaluation and, when possible, diagnostic analgesia in combination with nuclear scintigraphy imaging findings, will allow for the most information to be applied to the patient's clinical problem. Published by Elsevier Inc.

A Decision Support Framework for Genomically Informed Investigational Cancer Therapy

PubMed Central

Johnson, Amber; Holla, Vijaykumar; Bailey, Ann Marie; Brusco, Lauren; Chen, Ken; Routbort, Mark; Patel, Keyur P.; Zeng, Jia; Kopetz, Scott; Davies, Michael A.; Piha-Paul, Sarina A.; Hong, David S.; Eterovic, Agda Karina; Tsimberidou, Apostolia M.; Broaddus, Russell; Bernstam, Elmer V.; Shaw, Kenna R.; Mendelsohn, John; Mills, Gordon B.

2015-01-01

Rapidly improving understanding of molecular oncology, emerging novel therapeutics, and increasingly available and affordable next-generation sequencing have created an opportunity for delivering genomically informed personalized cancer therapy. However, to implement genomically informed therapy requires that a clinician interpret the patient’s molecular profile, including molecular characterization of the tumor and the patient’s germline DNA. In this Commentary, we review existing data and tools for precision oncology and present a framework for reviewing the available biomedical literature on therapeutic implications of genomic alterations. Genomic alterations, including mutations, insertions/deletions, fusions, and copy number changes, need to be curated in terms of the likelihood that they alter the function of a “cancer gene” at the level of a specific variant in order to discriminate so-called “drivers” from “passengers.” Alterations that are targetable either directly or indirectly with approved or investigational therapies are potentially “actionable.” At this time, evidence linking predictive biomarkers to therapies is strong for only a few genomic markers in the context of specific cancer types. For these genomic alterations in other diseases and for other genomic alterations, the clinical data are either absent or insufficient to support routine clinical implementation of biomarker-based therapy. However, there is great interest in optimally matching patients to early-phase clinical trials. Thus, we need accessible, comprehensive, and frequently updated knowledge bases that describe genomic changes and their clinical implications, as well as continued education of clinicians and patients. PMID:25863335

Value of information and pricing new healthcare interventions.

PubMed

Willan, Andrew R; Eckermann, Simon

2012-06-01

Previous application of value-of-information methods to optimal clinical trial design have predominantly taken a societal decision-making perspective, implicitly assuming that healthcare costs are covered through public expenditure and trial research is funded by government or donation-based philanthropic agencies. In this paper, we consider the interaction between interrelated perspectives of a societal decision maker (e.g. the National Institute for Health and Clinical Excellence [NICE] in the UK) charged with the responsibility for approving new health interventions for reimbursement and the company that holds the patent for a new intervention. We establish optimal decision making from societal and company perspectives, allowing for trade-offs between the value and cost of research and the price of the new intervention. Given the current level of evidence, there exists a maximum (threshold) price acceptable to the decision maker. Submission for approval with prices above this threshold will be refused. Given the current level of evidence and the decision maker's threshold price, there exists a minimum (threshold) price acceptable to the company. If the decision maker's threshold price exceeds the company's, then current evidence is sufficient since any price between the thresholds is acceptable to both. On the other hand, if the decision maker's threshold price is lower than the company's, then no price is acceptable to both and the company's optimal strategy is to commission additional research. The methods are illustrated using a recent example from the literature.

Enriching plausible new hypothesis generation in PubMed.

PubMed

Baek, Seung Han; Lee, Dahee; Kim, Minjoo; Lee, Jong Ho; Song, Min

2017-01-01

Most of earlier studies in the field of literature-based discovery have adopted Swanson's ABC model that links pieces of knowledge entailed in disjoint literatures. However, the issue concerning their practicability remains to be solved since most of them did not deal with the context surrounding the discovered associations and usually not accompanied with clinical confirmation. In this study, we aim to propose a method that expands and elaborates the existing hypothesis by advanced text mining techniques for capturing contexts. We extend ABC model to allow for multiple B terms with various biological types. We were able to concretize a specific, metabolite-related hypothesis with abundant contextual information by using the proposed method. Starting from explaining the relationship between lactosylceramide and arterial stiffness, the hypothesis was extended to suggest a potential pathway consisting of lactosylceramide, nitric oxide, malondialdehyde, and arterial stiffness. The experiment by domain experts showed that it is clinically valid. The proposed method is designed to provide plausible candidates of the concretized hypothesis, which are based on extracted heterogeneous entities and detailed relation information, along with a reliable ranking criterion. Statistical tests collaboratively conducted with biomedical experts provide the validity and practical usefulness of the method unlike previous studies. Applying the proposed method to other cases, it would be helpful for biologists to support the existing hypothesis and easily expect the logical process within it.

Bringing computational models of bone regeneration to the clinic.

PubMed

Carlier, Aurélie; Geris, Liesbet; Lammens, Johan; Van Oosterwyck, Hans

2015-01-01

Although the field of bone regeneration has experienced great advancements in the last decades, integrating all the relevant, patient-specific information into a personalized diagnosis and optimal treatment remains a challenging task due to the large number of variables that affect bone regeneration. Computational models have the potential to cope with this complexity and to improve the fundamental understanding of the bone regeneration processes as well as to predict and optimize the patient-specific treatment strategies. However, the current use of computational models in daily orthopedic practice is very limited or inexistent. We have identified three key hurdles that limit the translation of computational models of bone regeneration from bench to bed side. First, there exists a clear mismatch between the scope of the existing and the clinically required models. Second, most computational models are confronted with limited quantitative information of insufficient quality thereby hampering the determination of patient-specific parameter values. Third, current computational models are only corroborated with animal models, whereas a thorough (retrospective and prospective) assessment of the computational model will be crucial to convince the health care providers of the capabilities thereof. These challenges must be addressed so that computational models of bone regeneration can reach their true potential, resulting in the advancement of individualized care and reduction of the associated health care costs. © 2015 Wiley Periodicals, Inc.

Emergency Care Capabilities in North East Haiti: A Cross-sectional Observational Study.

PubMed

De Wulf, Annelies; Aluisio, Adam R; Muhlfelder, Dana; Bloem, Christina

2015-12-01

The North East Department is a resource-limited region of Haiti. Health care is provided by hospitals and community clinics, with no formal Emergency Medical System and undefined emergency services. As a paucity of information exists on available emergency services in the North East Department of Haiti, the objective of this study was to assess systematically the existing emergency care resources in the region. This cross-sectional observational study was carried out at all Ministry of Public Health and Population (MSPP)-affiliated hospitals in the North East Department and all clinics within the Fort Liberté district. A modified version of the World Health Organization (WHO) Tool for Situational Analysis to Assess Emergency and Essential Surgical Care and Generic Essential Emergency Equipment Lists were completed for each facility. Three MSPP hospitals and five clinics were assessed. Among hospitals, all had a designated emergency ward with 24 hour staffing by a medical doctor. All hospitals had electricity with backup generators and access to running water; however, none had potable water. All hospitals had x-ray and ultrasound capabilities. No computed tomography scanners existed in the region. Invasive airway equipment and associated medications were not present consistently in the hospitals' emergency care areas, but they were available in the operating rooms. Pulse oximetry was unavailable uniformly. One hospital had intermittently functioning defibrillation equipment, and two hospitals had epinephrine. Basic supplies for managing obstetrical and traumatic emergencies were available at all hospitals. Surgical services were accessible at two hospitals. No critical care services were available in the region. Clinics varied widely in terms of equipment availability. They uniformly had limited emergency medical equipment. The clinics also had inconsistent access to basic assessment tools (sphygmomanometers 20% and stethoscopes 60%). A protocol for transferring patients requiring a higher level of care was present in most (80%) clinics and one of the hospitals. However, no facility had a written protocol for transferring patients to other facilities. One hospital reported intermittent access to an ambulance for transfers. Deficits in the supply of emergency equipment and limited protocols for inter-facility transfers exist in North East Department of Haiti. These essential areas represent appropriate targets for interventions aimed at improving access to emergency care within the North East region of Haiti.

Educating for health service reform: clinical learning, governance and capability - a case study protocol.

PubMed

Gardner, Anne; Gardner, Glenn; Coyer, Fiona; Gosby, Helen

2016-01-01

The nurse practitioner is a growing clinical role in Australia and internationally, with an expanded scope of practice including prescribing, referring and diagnosing. However, key gaps exist in nurse practitioner education regarding governance of specialty clinical learning and teaching. Specifically, there is no internationally accepted framework against which to measure the quality of clinical learning and teaching for advanced specialty practice. A case study design will be used to investigate educational governance and capability theory in nurse practitioner education. Nurse practitioner students, their clinical mentors and university academic staff, from an Australian university that offers an accredited nurse practitioner Master's degree, will be invited to participate in the study. Semi-structured interviews will be conducted with students and their respective clinical mentors and university academic staff to investigate learning objectives related to educational governance and attributes of capability learning. Limited demographic data on age, gender, specialty, education level and nature of the clinical healthcare learning site will also be collected. Episodes of nurse practitioner student specialty clinical learning will be observed and documentation from the students' healthcare learning sites will be collected. Descriptive statistics will be used to report age groups, areas of specialty and types of facilities where clinical learning and teaching is observed. Qualitative data from interviews, observations and student documents will be coded, aggregated and explored to inform a framework of educational governance, to confirm the existing capability framework and describe any additional characteristics of capability and capability learning. This research has widespread significance and will contribute to ongoing development of the Australian health workforce. Stakeholders from industry and academic bodies will be involved in shaping the framework that guides the quality and governance of clinical learning and teaching in specialty nurse practitioner practice. Through developing standards for advanced clinical learning and teaching, and furthering understanding of capability theory for advanced healthcare practitioners, this research will contribute to evidence-based models of advanced specialty postgraduate education.

Online pediatric information seeking among mothers of young children: results from a qualitative study using focus groups.

PubMed

Bernhardt, Jay M; Felter, Elizabeth M

2004-03-01

Pre-natal and post-natal periods are times when many women actively seek health information from multiple sources, including the Internet. However, little is known about how pregnant women and mothers of young children seek and process online pediatric health information. To explore why and where mothers of young children look for online health information and how they determine if the information they receive is trustworthy. Focus groups were conducted in a Southeastern US city to provide an in-depth exploration of web-related behaviors and beliefs among mothers who work inside and outside of the home. Data from the focus groups were coded using deductive and inductive coding schemes and content was analyzed for the existence of themes. Twenty mothers of young children participated in four focus groups. Most participants sought information on the Internet during pregnancy and nearly all sought online information after their child was born, primarily to diagnose or treat pediatric conditions and to seek advice on parenting and development. Participants mainly used commercial information websites for health information and many expressed disdain for commercial product websites. Many also expressed concerns about the reliability of health information on the web and described strategies for determining how much they trust each website. Women appear to be high information seekers during pregnancy and the first few years following delivery, and this period represents an important window of time for providing online health information. Participants suggested that online information sources and motives for providing online information should be clear in order to increase perceptions of trust. Participants expressed preference for online clinical health information that is presented by clinical professionals, and online parenting advice that is presented from other parents.

Determining Smoking Cessation Related Information, Motivation, and Behavioral Skills among Opiate Dependent Smokers in Methadone Treatment

PubMed Central

Cooperman, Nina A.; Richter, Kimber P.; Bernstein, Steven L.; Steinberg, Marc L.; Williams, Jill M.

2015-01-01

Background Over 80% of people in methadone treatment smoke cigarettes, and existing smoking cessation interventions have been minimally effective. Objective To develop an Information-Motivation-Behavioral Skills (IMB) Model of behavior change based smoking cessation intervention for methadone maintained smokers, we examined smoking cessation related information, motivation, and behavioral skills in this population. Methods Current or former smokers in methadone treatment (n=35) participated in focus groups. Ten methadone clinic counselors participated in an individual interview. A content analysis was conducted using deductive and inductive approaches. Results Commonly known information, motivation, and behavioral skills factors related to smoking cessation were described. These factors included: the health effects of smoking and treatment options for quitting (information); pregnancy and cost of cigarettes (motivators); and coping with emotions, finding social support, and pharmacotherapy adherence (behavioral skills). Information, motivation, and behavioral skills factors specific to methadone maintained smokers were also described. These factors included: the relationship between quitting smoking and drug relapse (information), the belief that smoking is the same as using drugs (motivator); and coping with methadone clinic culture and applying skills used to quit drugs to quitting smoking (behavioral skills). Information, motivation, and behavioral skills strengths and deficits varied by individual. Conclusions Methadone maintained smokers could benefit from research on an IMB Model based smoking cessation intervention that is individualized, addresses IMB factors common among all smokers, and also addresses IMB factors unique to this population. PMID:25559697

Subtyping attention-deficit/hyperactivity disorder using temperament dimensions: toward biologically based nosologic criteria.

PubMed

Karalunas, Sarah L; Fair, Damien; Musser, Erica D; Aykes, Kamari; Iyer, Swathi P; Nigg, Joel T

2014-09-01

Psychiatric nosology is limited by behavioral and biological heterogeneity within existing disorder categories. The imprecise nature of current nosologic distinctions limits both mechanistic understanding and clinical prediction. We demonstrate an approach consistent with the National Institute of Mental Health Research Domain Criteria initiative to identify superior, neurobiologically valid subgroups with better predictive capacity than existing psychiatric categories for childhood attention-deficit/hyperactivity disorder (ADHD). To refine subtyping of childhood ADHD by using biologically based behavioral dimensions (i.e., temperament), novel classification algorithms, and multiple external validators. A total of 437 clinically well-characterized, community-recruited children, with and without ADHD, participated in an ongoing longitudinal study. Baseline data were used to classify children into subgroups based on temperament dimensions and examine external validators including physiological and magnetic resonance imaging measures. One-year longitudinal follow-up data are reported for a subgroup of the ADHD sample to address stability and clinical prediction. Parent/guardian ratings of children on a measure of temperament were used as input features in novel community detection analyses to identify subgroups within the sample. Groups were validated using 3 widely accepted external validators: peripheral physiological characteristics (cardiac measures of respiratory sinus arrhythmia and pre-ejection period), central nervous system functioning (via resting-state functional connectivity magnetic resonance imaging), and clinical outcomes (at 1-year longitudinal follow-up). The community detection algorithm suggested 3 novel types of ADHD, labeled as mild (normative emotion regulation), surgent (extreme levels of positive approach-motivation), and irritable (extreme levels of negative emotionality, anger, and poor soothability). Types were independent of existing clinical demarcations including DSM-5 presentations or symptom severity. These types showed stability over time and were distinguished by unique patterns of cardiac physiological response, resting-state functional brain connectivity, and clinical outcomes 1 year later. Results suggest that a biologically informed temperament-based typology, developed with a discovery-based community detection algorithm, provides a superior description of heterogeneity in the ADHD population than does any current clinical nosologic criteria. This demonstration sets the stage for more aggressive attempts at a tractable, biologically based nosology.

Current and emerging business models in the health care information technology industry: a view from wall street.

PubMed

Frank, Seth

2003-01-01

When we think about health care IT, we don't just think about clinical automation with the movement to computerized physician order entry (CPOE), but also the need to upgrade legacy financial and administrative systems to interact with clinical systems. Technology acceptance by physicians remains low, and computer use by physicians for data entry and analysis remains minimal. We expect this trend to change, and expect increased automation to represent gradual change. The HCIT space is dynamic, with many opportunities, but also many challenges. The unique nature of the end market buyers, existing business models, and nature of the technology makes this a challenging but dynamic area for equity investment.

The development of health care data warehouses to support data mining.

PubMed

Lyman, Jason A; Scully, Kenneth; Harrison, James H

2008-03-01

Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.

A European multi-language initiative to make the general population aware of independent clinical research: the European Communication on Research Awareness Need project.

PubMed

Mosconi, Paola; Antes, Gerd; Barbareschi, Giorgio; Burls, Amanda; Demotes-Mainard, Jacques; Chalmers, Iain; Colombo, Cinzia; Garattini, Silvio; Gluud, Christian; Gyte, Gill; Mcllwain, Catherine; Penfold, Matt; Post, Nils; Satolli, Roberto; Valetto, Maria Rosa; West, Brian; Wolff, Stephanie

2016-01-12

The ECRAN (European Communication on Research Awareness Needs) project was initiated in 2012, with support from the European Commission, to improve public knowledge about the importance of independent, multinational, clinical trials in Europe. Participants in the ECRAN consortium included clinicians and methodologists directly involved in clinical trials; researchers working in partnership with the public and patients; representatives of patients; and experts in science communication. We searched for, and evaluated, relevant existing materials and developed additional materials and tools, making them freely available under a Creative Commons licence. The principal communication materials developed were: 1. A website ( http://ecranproject.eu ) in six languages, including a Media centre section to help journalists to disseminate information about the ECRAN project 2. An animated film about clinical trials, dubbed in the 23 official languages of the European Community, and an interactive tutorial 3. An inventory of resources, available in 23 languages, searchable by topic, author, and media type 4. Two educational games for young people, developed in six languages 5. Testing Treatments interactive in a dozen languages, including five official European Community languages 6. An interactive tutorial slide presentation testing viewers' knowledge about clinical trials Over a 2-year project, our multidisciplinary and multinational consortium was able to produce, and make freely available in many languages, new materials to promote public knowledge about the importance of independent and international clinical trials. Sustained funding for the ECRAN information platform could help to promote successful recruitment to independent clinical trials supported through the European Clinical Research Infrastructure Network.

An integrated organisation-wide data quality management and information governance framework: theoretical underpinnings.

PubMed

Liaw, Siaw-Teng; Pearce, Christopher; Liyanage, Harshana; Liaw, Gladys S S; de Lusignan, Simon

2014-01-01

Increasing investment in eHealth aims to improve cost effectiveness and safety of care. Data extraction and aggregation can create new data products to improve professional practice and provide feedback to improve the quality of source data. A previous systematic review concluded that locally relevant clinical indicators and use of clinical record systems could support clinical governance. We aimed to extend and update the review with a theoretical framework. We searched PubMed, Medline, Web of Science, ABI Inform (Proquest) and Business Source Premier (EBSCO) using the terms curation, information ecosystem, data quality management (DQM), data governance, information governance (IG) and data stewardship. We focused on and analysed the scope of DQM and IG processes, theoretical frameworks, and determinants of the processing, quality assurance, presentation and sharing of data across the enterprise. There are good theoretical reasons for integrated governance, but there is variable alignment of DQM, IG and health system objectives across the health enterprise. Ethical constraints exist that require health information ecosystems to process data in ways that are aligned with improving health and system efficiency and ensuring patient safety. Despite an increasingly 'big-data' environment, DQM and IG in health services are still fragmented across the data production cycle. We extend current work on DQM and IG with a theoretical framework for integrated IG across the data cycle. The dimensions of this theory-based framework would require testing with qualitative and quantitative studies to examine the applicability and utility, along with an evaluation of its impact on data quality across the health enterprise.

A multilayered approach for the analysis of perinatal mortality using different classification systems.

PubMed

Gordijn, Sanne J; Korteweg, Fleurisca J; Erwich, Jan Jaap H M; Holm, Jozien P; van Diem, Mariet Th; Bergman, Klasien A; Timmer, Albertus

2009-06-01

Many classification systems for perinatal mortality are available, all with their own strengths and weaknesses: none of them has been universally accepted. We present a systematic multilayered approach for the analysis of perinatal mortality based on information related to the moment of death, the conditions associated with death and the underlying cause of death, using a combination of representatives of existing classification systems. We compared the existing classification systems regarding their definition of the perinatal period, level of complexity, inclusion of maternal, foetal and/or placental factors and whether they focus at a clinical or pathological viewpoint. Furthermore, we allocated the classification systems to one of three categories: 'when', 'what' or 'why', dependent on whether the allocation of the individual cases of perinatal mortality is based on the moment of death ('when'), the clinical conditions associated with death ('what'), or the underlying cause of death ('why'). A multilayered approach for the analysis and classification of perinatal mortality is possible by using combinations of existing systems; for example the Wigglesworth or Nordic Baltic ('when'), ReCoDe ('what') and Tulip ('why') classification systems. This approach is useful not only for in depth analysis of perinatal mortality in the developed world but also for analysis of perinatal mortality in the developing countries, where resources to investigate death are often limited.

eTACTS: a method for dynamically filtering clinical trial search results.

PubMed

Miotto, Riccardo; Jiang, Silis; Weng, Chunhua

2013-12-01

Information overload is a significant problem facing online clinical trial searchers. We present eTACTS, a novel interactive retrieval framework using common eligibility tags to dynamically filter clinical trial search results. eTACTS mines frequent eligibility tags from free-text clinical trial eligibility criteria and uses these tags for trial indexing. After an initial search, eTACTS presents to the user a tag cloud representing the current results. When the user selects a tag, eTACTS retains only those trials containing that tag in their eligibility criteria and generates a new cloud based on tag frequency and co-occurrences in the remaining trials. The user can then select a new tag or unselect a previous tag. The process iterates until a manageable number of trials is returned. We evaluated eTACTS in terms of filtering efficiency, diversity of the search results, and user eligibility to the filtered trials using both qualitative and quantitative methods. eTACTS (1) rapidly reduced search results from over a thousand trials to ten; (2) highlighted trials that are generally not top-ranked by conventional search engines; and (3) retrieved a greater number of suitable trials than existing search engines. eTACTS enables intuitive clinical trial searches by indexing eligibility criteria with effective tags. User evaluation was limited to one case study and a small group of evaluators due to the long duration of the experiment. Although a larger-scale evaluation could be conducted, this feasibility study demonstrated significant advantages of eTACTS over existing clinical trial search engines. A dynamic eligibility tag cloud can potentially enhance state-of-the-art clinical trial search engines by allowing intuitive and efficient filtering of the search result space. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

eTACTS: A Method for Dynamically Filtering Clinical Trial Search Results

PubMed Central

Miotto, Riccardo; Jiang, Silis; Weng, Chunhua

2013-01-01

Objective Information overload is a significant problem facing online clinical trial searchers. We present eTACTS, a novel interactive retrieval framework using common eligibility tags to dynamically filter clinical trial search results. Materials and Methods eTACTS mines frequent eligibility tags from free-text clinical trial eligibility criteria and uses these tags for trial indexing. After an initial search, eTACTS presents to the user a tag cloud representing the current results. When the user selects a tag, eTACTS retains only those trials containing that tag in their eligibility criteria and generates a new cloud based on tag frequency and co-occurrences in the remaining trials. The user can then select a new tag or unselect a previous tag. The process iterates until a manageable number of trials is returned. We evaluated eTACTS in terms of filtering efficiency, diversity of the search results, and user eligibility to the filtered trials using both qualitative and quantitative methods. Results eTACTS (1) rapidly reduced search results from over a thousand trials to ten; (2) highlighted trials that are generally not top-ranked by conventional search engines; and (3) retrieved a greater number of suitable trials than existing search engines. Discussion eTACTS enables intuitive clinical trial searches by indexing eligibility criteria with effective tags. User evaluation was limited to one case study and a small group of evaluators due to the long duration of the experiment. Although a larger-scale evaluation could be conducted, this feasibility study demonstrated significant advantages of eTACTS over existing clinical trial search engines. Conclusion A dynamic eligibility tag cloud can potentially enhance state-of-the-art clinical trial search engines by allowing intuitive and efficient filtering of the search result space. PMID:23916863

A flexible, open, decentralized system for digital pathology networks.

PubMed

Schuler, Robert; Smith, David E; Kumaraguruparan, Gowri; Chervenak, Ann; Lewis, Anne D; Hyde, Dallas M; Kesselman, Carl

2012-01-01

High-resolution digital imaging is enabling digital archiving and sharing of digitized microscopy slides and new methods for digital pathology. Collaborative research centers, outsourced medical services, and multi-site organizations stand to benefit from sharing pathology data in a digital pathology network. Yet significant technological challenges remain due to the large size and volume of digitized whole slide images. While information systems do exist for managing local pathology laboratories, they tend to be oriented toward narrow clinical use cases or offer closed ecosystems around proprietary formats. Few solutions exist for networking digital pathology operations. Here we present a system architecture and implementation of a digital pathology network and share results from a production system that federates major research centers.

A Flexible, Open, Decentralized System for Digital Pathology Networks

PubMed Central

SMITH, David E.; KUMARAGURUPARAN, Gowri; CHERVENAK, Ann; LEWIS, Anne D.; HYDE, Dallas M.; KESSELMAN, Carl

2014-01-01

High-resolution digital imaging is enabling digital archiving and sharing of digitized microscopy slides and new methods for digital pathology. Collaborative research centers, outsourced medical services, and multi-site organizations stand to benefit from sharing pathology data in a digital pathology network. Yet significant technological challenges remain due to the large size and volume of digitized whole slide images. While information systems do exist for managing local pathology laboratories, they tend to be oriented toward narrow clinical use cases or offer closed ecosystems around proprietary formats. Few solutions exist for networking digital pathology operations. Here we present a system architecture and implementation of a digital pathology network and share results from a production system that federates major research centers. PMID:22941985

Building clinical data groups for electronic medical record in China.

PubMed

Tu, Haibo; Yu, Yingtao; Yang, Peng; Tang, Xuejun; Hu, Jianping; Rao, Keqin; Pan, Feng; Xu, Yongyong; Liu, Danhong

2012-04-01

This article aims at building clinical data groups for Electronic Medical Records (EMR) in China. These data groups can be reused as basic information units in building the medical sheets of Electronic Medical Record Systems (EMRS) and serve as part of its implementation guideline. The results were based on medical sheets, the forms that are used in hospitals, which were collected from hospitals. To categorize the information in these sheets into data groups, we adopted the Health Level 7 Clinical Document Architecture Release 2 Model (HL7 CDA R2 Model). The regulations and legal documents concerning health informatics and related standards in China were implemented. A set of 75 data groups with 452 data elements was created. These data elements were atomic items that comprised the data groups. Medical sheet items contained clinical records information and could be described by standard data elements that exist in current health document protocols. These data groups match different units of the CDA model. Twelve data groups with 87 standardized data elements described EMR headers, and 63 data groups with 405 standardized data elements constituted the body. The later 63 data groups in fact formed the sections of the model. The data groups had two levels. Those at the first level contained both the second level data groups and the standardized data elements. The data groups were basically reusable information units that served as guidelines for building EMRS and that were used to rebuild a medical sheet and serve as templates for the clinical records. As a pilot study of health information standards in China, the development of EMR data groups combined international standards with Chinese national regulations and standards, and this was the most critical part of the research. The original medical sheets from hospitals contain first hand medical information, and some of their items reveal the data types characteristic of the Chinese socialist national health system. It is possible and critical to localize and stabilize the adopted international health standards through abstracting and categorizing those items for future sharing and for the implementation of EMRS in China.

Development and Validation of a Printed Information Brochure for Families of Chronically Critically Ill Patients

PubMed Central

Carson, Shannon S.; Vu, Maihan; Danis, Marion; Camhi, Sharon L.; Scheunemann, Leslie P.; Cox, Christopher E.; Hanson, Laura C.; Nelson, Judith E.

2012-01-01

Objective Families and other surrogate decision-makers for chronically critically ill patients often lack information about patient prognosis or options for care. This study describes an approach to develop and validate a printed information brochure about chronic critical illness aimed at improving comprehension of the disease process and outcomes for patients’ families and other surrogate decision-makers. Design Investigators reviewed existing literature to identify key domains of informational needs. Content of these domains was incorporated in a draft brochure that included graphics and a glossary of terms. Clinical sensibility, balance, and emotional sensitivity of the draft brochure were tested in a series of evaluations by cohorts of experienced clinicians (n=49) and clinical content experts (n=8), with revisions after each review. Cognitive testing of the brochure was performed through interviews of 10 representative family members of chronically critically ill patients with quantitative and qualitative analysis of responses. Measurements and Main Results Clinical sensibility and balance were rated in the two most favorable categories on a 5-point scale by more than two thirds of clinicians and content experts. After review, family members described the brochure as clear and readable and recommended that the brochure be delivered to family members by clinicians, followed by a discussion of its contents. They indicated that the glossary was useful and recommended supplementation by additional lists of local resources. After reading the brochure, their prognostic estimates became more consistent with actual outcomes. Conclusions We have developed and validated a printed information brochure that may improve family comprehension of chronic critical illness and its outcomes. The structured process that is described can serve as a template for the development of other information aids for use with seriously ill populations. PMID:21926610

[Evidence and Evidence Gaps - an Introduction].

PubMed

Dreier, G; Löhler, J

2016-04-01

Treating patients requires the inclusion of existing evidence in any health care decision, to be able to choose the best diagnosis or treatment measure or to make valid prognosis statements for a particular patient in consideration of the physician's own expertise.The basis are clinical trials, the results of which are ideally gathered in systematic reviews, rated, summarized and published. In addition to the GCP (Good Clinical Practice)-compliant planning, conducting and analysis of clinical studies it is essential, that all study results are made publicly available, in order to avoid publication bias. This includes the public registration of planned and discontinued trials. In the last 25 years, the evidence-based medicine (EbM) has increasingly found its way into clinical practice and research. Here EbM is closely associated with the names Archibald Cochrane and David Sackett. In Germany, both the German Cochrane Centre (DCZ) and the network of evidence-based medicine (DNEbM) were established approximately 15 years ago. In the international Cochrane Collaboration clinicians and other scientists like statisticians interdisciplinary work side by side to develop the methods of evidence-based medicine and to address the topics of evidence generation and processing as well as the transfer of knowledge. Challenge: Existing evidence primarily serves doctors to support their decision-making, but is also the basis for providing scientific proof for a health care intervention's benefit to patients and ultimately payers/health insurances. The closure of existing evidence gaps requires substantial human and financial resources, a complex organizational structure and can only succeed with the involvement of clinical and methodological expertise and specific knowledge in the field of clinical research. In addition, the knowledge must be transferred into practice, using journals, guidelines, conferences, databases, information portals with processed evidence and not least the medical education of students.One problem is the wealth of information, so that in clinical practice there may be gaps in knowledge of actual evidence. Usually it still takes several years until new knowledge is fully implemented in daily practice. The German Society of Otolaryngology, Head and Neck Surgery (DGHNOKHC) and the German professional association of otolaryngologists (BVHNO) have a vested interest in supporting their members in the generation, processing and dissemination of evidence, and to foster the transfer of knowledge into practice. This includes the areas of diagnosis, treatment, prognosis and prevention as well as drug therapies or the application of medical devices or surgical procedures. Crucial is the regular determination of existing evidence gaps, including in the area of already established procedures, which must be followed by a prioritization of research questions and subsequent conduct of clinical research. Only with combined efforts even large trials can be performed, to test therapies and diagnostics for example, also after approval under everyday conditions. Methods, Results and Vision: The executive committees of DGHNOKHC and BVHNO have together founded the German Clinical Trials Unit for Ear, Nose and Throat medicine, Head and Neck Surgery (DSZ-HNO) to assist their members in the identification of evidence gaps and the planning and conduct of systematic reviews and clinical trials. The first projects have been started, including a BMBF(German Ministry for education and research)-funded clinical trial for the treatment of sudden hearing loss and a survey to detect evidence gaps in Otolaryngology. It seems both reasonable and feasible to provide a structure such as a jointly-run study center for doctors in hospitals and medical practices to assist in clinical research and to anchor the principles of evidence-based medicine in daily life. © Georg Thieme Verlag KG Stuttgart · New York.

Implementation of data security and data privacy provisions will bring sweeping changes to laboratory service providers.

PubMed

Boothe, J F

2000-01-01

The Health Insurance Portability and Accountability Act included substantial changes involving handling of health information by establishing national standards for electronic transactions, data privacy, and data security. The first final rule for electronic transaction standards was published August 17, 2000. The remaining final rules are expected to be published in Winter 2000. Providers, such as clinical laboratories, will have 26 months from the data of publication to comply. The civil monetary fines for noncompliance are substantial. This article will review the key provisions of the data security and data privacy proposed rules. These provisions will touch virtually every aspect of electronic claims submissions, electronic data transactions, and the electronic storage of medical information. The proposed rules will require a coordinated approach by providers to develop the policies and procedures, and the technical and physical infrastructure to protect health information. Moreover, providers will need to identify a privacy officer, to review existing privacy policies to compare the proposed rule with any existing state laws to determine which may be more stringent, and to develop new policies to address the particular requirements of the final rule.

Casimer Funk, nonconformist nomenclature, and networks surrounding the discovery of vitamins.

PubMed

Maltz, Alesia

2013-07-01

In the 2 decades between when the existence of vitamins was first postulated and when they were isolated, scientists and research physicians could produce no conclusive evidence for their existence from the laboratory or clinic. By the time the first vitamin was chemically isolated, vitamins were already widely accepted by scientists, clinicians, the public, and government agencies. In the period between when vitamins were postulated and the Nobel Prize was awarded for their discovery, a debate over nomenclature served as a substitute for a priority dispute. The most popular term "vitamine" was introduced by Casimer Funk in 1912 and was changed to "vitamin" by Cecil Drummond in 1920. Initial conditions surrounding the discovery of vitamins, including World War I, necessitated the creation of unusual networks for the dissemination of scientific information about vitamins. In Great Britain, research institutes, government agencies, and individual researchers were instrumental in creating a set of national and international networks for the dissemination of information from research laboratories to hospitals, physicians, pharmaceutical houses, and the public. These networks of dissemination still exert an influence on how scientific information about vitamins is communicated to the public today.

Achieving best outcomes of patients with cardiovascular diseases in China by enhancing the quality of medical care and establishing a learning health care system

PubMed Central

Jiang, Lixin; Krumholz, Harlan M; Li, Xi; Li, Jing; Hu, Shengshou

2016-01-01

Summary China faces the immediate need of addressing the rapidly growing population with cardiovascular disease (CVD) events and the increasing numbers who are living with CVD. Despite progress in increasing access to services, China faces the dual challenge of addressing gaps in quality of care and producing more evidence to support clinical practice. In this article, we address opportunities to strengthen performance measurement, programs to improve quality of care and national capacity to produce high impact knowledge for clinical practice. Moreover, we propose recommendations, with implications for other conditions, for how China can immediately leverage its Hospital Quality Monitoring System and other existing national platforms to evaluate and improve performance, as well as generate new knowledge to inform clinical decisions and national policies. PMID:26466053

Real time alert system: a disease management system leveraging health information exchange.

PubMed

Anand, Vibha; Sheley, Meena E; Xu, Shawn; Downs, Stephen M

2012-01-01

Rates of preventive and disease management services can be improved by providing automated alerts and reminders to primary care providers (PCPs) using of health information technology (HIT) tools. Using Adaptive Turnaround Documents (ATAD), an existing Health Information Exchange (HIE) infrastructure and office fax machines, we developed a Real Time Alert (RTA) system. RTA is a computerized decision support system (CDSS) that is able to deliver alerts to PCPs statewide for recommended services around the time of the patient visit. RTA is also able to capture structured clinical data from providers using existing fax technology. In this study, we evaluate RTA's performance for alerting PCPs when their patients with asthma have an emergency room visit anywhere in the state. Our results show that RTA was successfully able to deliver "just in time" patient-relevant alerts to PCPs across the state. Furthermore, of those ATADs faxed back and automatically interpreted by the RTA system, 35% reported finding the provided information helpful. The PCPs who reported finding information helpful also reported making a phone call, sending a letter or seeing the patient for follow up care. We have successfully demonstrated the feasibility of electronically exchanging important patient related information with the PCPs statewide. This is despite a lack of a link with their electronic health records. We have shown that using our ATAD technology, a PCP can be notified quickly of an important event such as a patient's asthma related emergency room admission so further follow up can happen in near real time.

Anosmia-A Clinical Review.

PubMed

Boesveldt, Sanne; Postma, Elbrich M; Boak, Duncan; Welge-Luessen, Antje; Schöpf, Veronika; Mainland, Joel D; Martens, Jeffrey; Ngai, John; Duffy, Valerie B

2017-09-01

Anosmia and hyposmia, the inability or decreased ability to smell, is estimated to afflict 3-20% of the population. Risk of olfactory dysfunction increases with old age and may also result from chronic sinonasal diseases, severe head trauma, and upper respiratory infections, or neurodegenerative diseases. These disorders impair the ability to sense warning odors in foods and the environment, as well as hinder the quality of life related to social interactions, eating, and feelings of well-being. This article reports and extends on a clinical update commencing at the 2016 Association for Chemoreception Sciences annual meeting. Included were reports from: a patient perspective on losing the sense of smell with information on Fifth Sense, a nonprofit advocacy organization for patients with olfactory disorders; an otolaryngologist's review of clinical evaluation, diagnosis, and management/treatment of anosmia; and researchers' review of recent advances in potential anosmia treatments from fundamental science, in animal, cellular, or genetic models. As limited evidence-based treatments exist for anosmia, dissemination of information on anosmia-related health risks is needed. This could include feasible and useful screening measures for olfactory dysfunction, appropriate clinical evaluation, and patient counseling to avoid harm as well as manage health and quality of life with anosmia. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

“I Didn’t Know It Existed Before You Called”: Protestant Clergy Experience, Education and Perceptions Regarding Genetics

PubMed Central

Ragsdale, Judy; Vaughn, Lisa; Grossoehme, Daniel

2015-01-01

Despite the intrinsic role religious/spiritual (hereafter, R/S) beliefs have in patient clinical decision-making and crisis coping, there is little research exploring the relationship that exists between clergy (professionals who provide R/S counsel and guidance) and genetic counseling patients. This qualitative, exploratory study was designed to explore Protestant clergy (N=8) perceptions of and experience with genetics-related issues. Data analysis revealed that a wide range of R/S perceptions regarding genetics-related issues exist within Protestantism, Protestant clergy have a basic understanding of genetic testing and conditions, and while directive counseling is inherent to Protestant clergy counseling, there appears to exist two opposing styles: unbiased and biased. Based on this information, there are two main implications for genetic counseling clinical practice. First, R/S assessments need to be increasingly implemented into genetic counseling sessions, so that the psychosocial needs of patients with specific R/S beliefs can be identified and addressed. An increase in R/S assessments may be accomplished by increased exposure in genetic counselor training, continuing education opportunities, and by establishing relationships with board-certified, professional chaplains. Second, genetic counselors can influence the genetic education and experience of clergy by raising awareness within their own R/S assemblies. Doing so can also serve to further educate genetic counselors in the R/S beliefs of their own traditions, thus increasing sensitivity, empathy and the quality of care provided. PMID:23054334

Nocebo and the potential harm of 'high risk' labelling: a scoping review.

PubMed

Symon, Andrew; Williams, Brian; Adelasoye, Qadir A; Cheyne, Helen

2015-07-01

A discussion of the existence, prevalence and characteristics of the nocebo effect in health care. There is increasing but inconsistent evidence for nocebo effects (the opposite of placebo). Causal mechanisms are believed to be similar to placebo (negative effects result from suggestions of negative clinical outcomes). Risk screening in health care may produce this unintended effect through labelling some patients as high risk. Given health care's almost universal coverage this potentially affects many people. Discussion paper following a scoping review of the existence and frequency of nocebo. Literature databases (PsycINFO, MEDLINE, CCTR, CINAHL and EMBASE) searched from inception dates to 2013. Significant empirical evidence indicates that negative beliefs may impact on health outcomes (incidence estimates range from 3-27%). The nocebo effect, rooted in the complex interplay between physiological functioning and social factors, appears significantly more common among women and where prior negative knowledge or expectations exist. Pre-existing psychological characteristics (anxiety, neuroses, panic disorder or pessimism) exacerbate it. While the placebo effect is well documented, there has been no systematic attempt to synthesize primary empirical research on the role of nocebo. It is possible that nocebo outcomes may be preventable through careful consideration of information provision and the prior identification of potentially high risk individuals. This paper summarizes the scale and importance of the nocebo effect, its distribution according to a range of social and clinical variables and its known relation to psychological precursors. It identifies important gaps in the research literature. © 2015 John Wiley & Sons Ltd.

Free and open source enabling technologies for patient-centric, guideline-based clinical decision support: a survey.

PubMed

Leong, T Y; Kaiser, K; Miksch, S

2007-01-01

Guideline-based clinical decision support is an emerging paradigm to help reduce error, lower cost, and improve quality in evidence-based medicine. The free and open source (FOS) approach is a promising alternative for delivering cost-effective information technology (IT) solutions in health care. In this paper, we survey the current FOS enabling technologies for patient-centric, guideline-based care, and discuss the current trends and future directions of their role in clinical decision support. We searched PubMed, major biomedical informatics websites, and the web in general for papers and links related to FOS health care IT systems. We also relied on our background and knowledge for specific subtopics. We focused on the functionalities of guideline modeling tools, and briefly examined the supporting technologies for terminology, data exchange and electronic health record (EHR) standards. To effectively support patient-centric, guideline-based care, the computerized guidelines and protocols need to be integrated with existing clinical information systems or EHRs. Technologies that enable such integration should be accessible, interoperable, and scalable. A plethora of FOS tools and techniques for supporting different knowledge management and quality assurance tasks involved are available. Many challenges, however, remain in their implementation. There are active and growing trends of deploying FOS enabling technologies for integrating clinical guidelines, protocols, and pathways into the main care processes. The continuing development and maturation of such technologies are likely to make increasingly significant contributions to patient-centric, guideline-based clinical decision support.

Standardized reporting of bleeding complications for clinical investigations in acute coronary syndromes: a proposal from the academic bleeding consensus (ABC) multidisciplinary working group.

PubMed

Rao, Sunil V; Eikelboom, John; Steg, Ph Gabriel; Lincoff, A Michael; Weintraub, William S; Bassand, Jean-Pierre; Rao, A Koneti; Gibson, C Michael; Petersen, John L; Mehran, Roxana; Manoukian, Steven V; Charnigo, Richard; Lee, Kerry L; Moscucci, Mauro; Harrington, Robert A

2009-12-01

Clinical trials of antithrombotic agents for the treatment of ACS routinely assess bleeding as a safety endpoint, but variation in bleeding definitions makes comparison of the relative safety of these agents difficult. The ABC Multidisciplinary Working Group, an informal working group comprising clinical researchers and representatives from the US Food and Drug Administration, the National Institutes of Health, and the pharmaceutical industry, sought to develop a consensus approach to measuring the incidence and severity of bleeding complications during clinical trials of acute coronary syndromes (ACS). A meeting of the ABC was convened in April 2008 in Washington, DC, with the goal of developing a consensus approach to measuring the incidence and severity of hemorrhagic complications during clinical trials of ACS. Relevant literature on bleeding was reviewed through a series of short lectures and intensive group discussion. Using existing evidence on bleeding and outcomes as well as clinical judgment, criteria for the assessment of bleeding were developed through expert consensus. This consensus statement divides bleeding-related data elements into three categories: essential, recommended, and optional. The ABC Group recommendations for collection and reporting of bleeding complications provide a framework for consistency in the collection of information on hemorrhagic complications in trials of ACS. Widespread adoption of the statement recommendations will facilitate understanding of the mechanisms of adverse outcomes after bleeding and comparisons of the relative safety of antithrombotic agents, as well as the interpretation of safety results from future studies.

Regulatory and ethical considerations for linking clinical and administrative databases.

PubMed

Dokholyan, Rachel S; Muhlbaier, Lawrence H; Falletta, John M; Jacobs, Jeffrey P; Shahian, David; Haan, Constance K; Peterson, Eric D

2009-06-01

Clinical data registries are valuable tools that support evidence development, performance assessment, comparative effectiveness studies, and the adoption of new treatments into routine clinical practice. Although these registries do not have important information on long-term therapies or clinical events, administrative claims databases offer a potentially valuable complement. This article focuses on the regulatory and ethical considerations that arise from the use of registry data for research, including linkage of clinical and administrative data sets. (1) Are such activities primarily designed for quality assessment and improvement, research, or both, as this determines the appropriate ethical and regulatory standards? (2) Does the submission of data to a central registry, which may subsequently be linked to other data sources, require review by the institutional review board (IRB) of each participating organization? (3) What levels and mechanisms of IRB oversight are appropriate for the existence of a linked central data repository and the specific studies that may subsequently be developed using it? (4) Under what circumstances are waivers of informed consent and Health Insurance Portability and Accountability Act authorization required? (5) What are the requirements for a limited data set that would qualify a research activity as not involving human subjects and thus not subject to further IRB review? The approaches outlined in this article represent a local interpretation of the regulations in the context of several clinical data registry projects and focuses on a specific case study of the Society of Thoracic Surgeons National Database.

Telemedicine information analysis center.

PubMed

Zajtchuk, Joan T; Zajtchuk, Russ; Petrovic, Joseph J; Gutz, Ryan P; Walrath, Benjamin D

2004-01-01

Congress mandated a pilot project to demonstrate the feasibility of establishing a Department of Defense (DoD) telemedicine information analysis center (TIAC). The project developed a medical information support system to show the core capabilities of a TIAC. The productivity and effectiveness of telemedicine researchers and clinical practitioners can be enhanced by the existence of an information analysis center (IACs) devoted to the collection, analysis, synthesis, and dissemination of worldwide scientific and technical information related to the field of telemedicine. The work conducted under the TIAC pilot project establishes the basic IAC functions and assesses the utility of the TIAC to the military medical departments. The pilot project capabilities are Web-based and include: (1) applying the science of classification (taxonomy) to telemedicine to identify key words; (2) creating a relational database of this taxonomy to a bibliographic database using these key words; (3) developing and disseminating information via a public TIAC Web site; (4) performing a specific baseline technical area task for the U.S. Army Medical Command; and (5) providing analyses by subject matter experts.

Pharmacy Students' Knowledge and Attitude toward Registration Trials and Clinical Research: A Survey in a Japanese University Hospital.

PubMed

Ise, Natsuko; Takechi, Kenshi; Miyamoto, Toshiko; Ishizawa, Keisuke; Yanagawa, Hiroaki

2017-12-11

Clinical research plays a fundamental role in establishing new treatments. Clinical research coordinators are considered essential in clinical research, and medical professionals such as pharmacists often take on this role. Pharmacy students can be considered future candidates for this task. We used questionnaires to survey the knowledge of and attitudes toward registration trials and clinical research of pharmacy students at Tokushima University Hospital. All pharmacy students (103) to whom questionnaires were sent responded. Almost all respondents were aware of registration trials and clinical research. More than 90% were aware of the existence of clinical research coordinators, and about half (48.6%) understood their role. In clinical research terminology, most respondents were aware of informed consent and related issues, but fewer than 20% were aware of more practical things. In total, 29.1% and 40.8% of the respondents were willing to carry out and coordinate research. These findings suggest that pharmacy students have basic knowledge of clinical research and that many students are willing to carry out and coordinate clinical research. More practical exposure to clinical research may help to strengthen their future contribution. Further studies may help to determine how to provide education on registration trials and clinical research to pharmacy students.

More data, less information? Potential for nonmonotonic information growth using GEE.

PubMed

Shoben, Abigail B; Rudser, Kyle D; Emerson, Scott S

2017-01-01

Statistical intuition suggests that increasing the total number of observations available for analysis should increase the precision with which parameters can be estimated. Such monotonic growth of statistical information is of particular importance when data are analyzed sequentially, such as in confirmatory clinical trials. However, monotonic information growth is not always guaranteed, even when using a valid, but inefficient estimator. In this article, we demonstrate the theoretical possibility of nonmonotonic information growth when using generalized estimating equations (GEE) to estimate a slope and provide intuition for why this possibility exists. We use theoretical and simulation-based results to characterize situations that may result in nonmonotonic information growth. Nonmonotonic information growth is most likely to occur when (1) accrual is fast relative to follow-up on each individual, (2) correlation among measurements from the same individual is high, and (3) measurements are becoming more variable further from randomization. In situations that may lead to nonmonotonic information growth, study designers should plan interim analyses to avoid situations most likely to result in nonmonotonic information growth.

MO-C-BRCD-03: The Role of Informatics in Medical Physics and Vice Versa.

PubMed

Andriole, K

2012-06-01

Like Medical Physics, Imaging Informatics encompasses concepts touching every aspect of the imaging chain from image creation, acquisition, management and archival, to image processing, analysis, display and interpretation. The two disciplines are in fact quite complementary, with similar goals to improve the quality of care provided to patients using an evidence-based approach, to assure safety in the clinical and research environments, to facilitate efficiency in the workplace, and to accelerate knowledge discovery. Use-cases describing several areas of informatics activity will be given to illustrate current limitations that would benefit from medical physicist participation, and conversely areas in which informaticists may contribute to the solution. Topics to be discussed include radiation dose monitoring, process management and quality control, display technologies, business analytics techniques, and quantitative imaging. Quantitative imaging is increasingly becoming an essential part of biomedicalresearch as well as being incorporated into clinical diagnostic activities. Referring clinicians are asking for more objective information to be gleaned from the imaging tests that they order so that they may make the best clinical management decisions for their patients. Medical Physicists may be called upon to identify existing issues as well as develop, validate and implement new approaches and technologies to help move the field further toward quantitative imaging methods for the future. Biomedical imaging informatics tools and techniques such as standards, integration, data mining, cloud computing and new systems architectures, ontologies and lexicons, data visualization and navigation tools, and business analytics applications can be used to overcome some of the existing limitations. 1. Describe what is meant by Medical Imaging Informatics and understand why the medical physicist should care. 2. Identify existing limitations in information technologies with respect to Medical Physics, and conversely see how Informatics may assist the medical physicist in filling some of the current gaps in their activities. 3. Understand general informatics concepts and areas of investigation including imaging and workflow standards, systems integration, computing architectures, ontologies, data mining and business analytics, data visualization and human-computer interface tools, and the importance of quantitative imaging for the future of Medical Physics and Imaging Informatics. 4. Become familiar with on-going efforts to address current challenges facing future research into and clinical implementation of quantitative imaging applications. © 2012 American Association of Physicists in Medicine.

Readiness of ethics review systems for a changing public health landscape in the WHO African Region.

PubMed

Motari, Marion; Ota, Martin Okechukwu; Kirigia, Joses Muthuri

2015-12-02

The increasing emphasis on research, development and innovation for health in providing solutions to the high burden of diseases in the African Region has warranted a proliferation of studies including clinical trials. This changing public health landscape requires that countries develop adequate ethics review capacities to protect and minimize risks to study participants. Therefore, this study assessed the readiness of national ethics committees to respond to challenges posed by a globalized biomedical research system which is constantly challenged by new public health threats, rapid scientific and technological advancements affecting biomedical research and development, delivery and manufacture of vaccines and therapies, and health technology transfer. This is a descriptive study, which used a questionnaire structured to elicit information on the existence of relevant national legal frameworks, mechanisms for ethical review; as well as capacity requirements for national ethics committees. The questionnaire was available in English and French and was sent to 41 of the then 46 Member States of the WHO African Region, excluding the five Lusophone Member States. Information was gathered from senior officials in ministries of health, who by virtue of their offices were considered to have expert knowledge of research ethics review systems in their respective countries. Thirty three of the 41 countries (80.5 %) responded. Thirty (90.9 %) of respondent countries had a national ethics review committee (NEC); 79 % of which were established by law. Twenty-five (83.3 %) NECs had secretarial and administrative support. Over 50 % of countries with NECs indicated a need for capacity strengthening through periodic training on international guidelines for health research (including clinical trials) ethics; and allocation of funds for administrative and secretariat support. Despite the existing training initiatives, the Region still experiences a shortage of professionals trained in health research ethics/ethicists. Committees continue to face various capacity needs especially for evaluating clinical trials, for monitoring ongoing research, database management and for accrediting institutional ethics committees. Given the growing number of clinical trials involving human participants in the African Region, there is urgent need for supporting countries without NECs to establish them; capacity strengthening where they exist; and creation of a regional network and joint ethical review mechanisms, whose membership would be open to all NECs of the Region.

The Near-Term Viability and Benefits of eLabels for Patients, Clinical Sites, and Sponsors.

PubMed

Smith-Gick, Jodi; Barnes, Nicola; Barone, Rocco; Bedford, Jeff; James, Jason R; Reisner, Stacy Frankovitz; Stephenson, Michael

2018-01-01

Current clinical trial labels are designed primarily to meet regulatory requirements. These labels have low patient and site utility, few are opened, and they have limited space and small fonts. As our world transitions from paper to electronic, an opportunity exists to provide patients with information about their investigational clinical trial product in a way that is more easily accessible, meets Health Authority requirements, and provides valuable additional information for the patient and caregiver. A TransCelerate initiative was launched to understand the current regulatory and technology landscape for the potential use an electronic label (eLabel) for investigational medicinal products (IMPs). Concepts and an example proof of concept were developed intended to show the "art of the possible" for a foundational eLabel and a "universal printed label." In addition, possible patient-centric enhancements were captured in the eLabel proof of concept. These concepts were shared with Health Authorities as well as patient and site advisory groups to gather feedback and subsequently enhance the concepts. Feedback indicated that the concept of an eLabel provides value and concepts should continue to be pursued. While the Health Authorities engaged with did not express issues with the use of an eLabel per se, the reduction in the content on the paper label is not possible in some geographic locations due to existing regulations. There is nothing that prevents transmitting the label electronically in conjunction with current conventional labeling. While there are still some regulatory barriers that need to be addressed for reducing what is on the paper label, advancement toward a more patient-centric approach benefits stakeholders and will enable a fully connected patient-centric experience. The industry must start now to build the foundation.