Pursuing Improvement in Clinical Reasoning: The Integrated Clinical Education Theory.
Jessee, Mary Ann
2018-01-01
The link between clinical education and development of clinical reasoning is not well supported by one theoretical perspective. Learning to reason during clinical education may be best achieved in a supportive sociocultural context of nursing practice that maximizes reasoning opportunities and facilitates discourse and meaningful feedback. Prelicensure clinical education seldom incorporates these critical components and thus may fail to directly promote clinical reasoning skill. Theoretical frameworks supporting the development of clinical reasoning during clinical education were evaluated. Analysis of strengths and gaps in each framework's support of clinical reasoning development was conducted. Commensurability of philosophical underpinnings was confirmed, and complex relationships among key concepts were elucidated. Six key concepts and three tenets comprise an explanatory predictive theory-the integrated clinical education theory (ICET). ICET provides critical theoretical support for inquiry and action to promote clinical education that improves development of clinical reasoning skill. [J Nurs Educ. 2018;57(1):7-13.]. Copyright 2018, SLACK Incorporated.
Creating and sharing clinical decision support content with Web 2.0: Issues and examples.
Wright, Adam; Bates, David W; Middleton, Blackford; Hongsermeier, Tonya; Kashyap, Vipul; Thomas, Sean M; Sittig, Dean F
2009-04-01
Clinical decision support is a powerful tool for improving healthcare quality and patient safety. However, developing a comprehensive package of decision support interventions is costly and difficult. If used well, Web 2.0 methods may make it easier and less costly to develop decision support. Web 2.0 is characterized by online communities, open sharing, interactivity and collaboration. Although most previous attempts at sharing clinical decision support content have worked outside of the Web 2.0 framework, several initiatives are beginning to use Web 2.0 to share and collaborate on decision support content. We present case studies of three efforts: the Clinfowiki, a world-accessible wiki for developing decision support content; Partners Healthcare eRooms, web-based tools for developing decision support within a single organization; and Epic Systems Corporation's Community Library, a repository for sharing decision support content for customers of a single clinical system vendor. We evaluate the potential of Web 2.0 technologies to enable collaborative development and sharing of clinical decision support systems through the lens of three case studies; analyzing technical, legal and organizational issues for developers, consumers and organizers of clinical decision support content in Web 2.0. We believe the case for Web 2.0 as a tool for collaborating on clinical decision support content appears strong, particularly for collaborative content development within an organization.
Wright, Adam; Sittig, Dean F; Ash, Joan S; Erickson, Jessica L; Hickman, Trang T; Paterno, Marilyn; Gebhardt, Eric; McMullen, Carmit; Tsurikova, Ruslana; Dixon, Brian E; Fraser, Greg; Simonaitis, Linas; Sonnenberg, Frank A; Middleton, Blackford
2015-11-01
To identify challenges, lessons learned and best practices for service-oriented clinical decision support, based on the results of the Clinical Decision Support Consortium, a multi-site study which developed, implemented and evaluated clinical decision support services in a diverse range of electronic health records. Ethnographic investigation using the rapid assessment process, a procedure for agile qualitative data collection and analysis, including clinical observation, system demonstrations and analysis and 91 interviews. We identified challenges and lessons learned in eight dimensions: (1) hardware and software computing infrastructure, (2) clinical content, (3) human-computer interface, (4) people, (5) workflow and communication, (6) internal organizational policies, procedures, environment and culture, (7) external rules, regulations, and pressures and (8) system measurement and monitoring. Key challenges included performance issues (particularly related to data retrieval), differences in terminologies used across sites, workflow variability and the need for a legal framework. Based on the challenges and lessons learned, we identified eight best practices for developers and implementers of service-oriented clinical decision support: (1) optimize performance, or make asynchronous calls, (2) be liberal in what you accept (particularly for terminology), (3) foster clinical transparency, (4) develop a legal framework, (5) support a flexible front-end, (6) dedicate human resources, (7) support peer-to-peer communication, (8) improve standards. The Clinical Decision Support Consortium successfully developed a clinical decision support service and implemented it in four different electronic health records and four diverse clinical sites; however, the process was arduous. The lessons identified by the Consortium may be useful for other developers and implementers of clinical decision support services. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Wright, Adam; Sittig, Dean F
2008-12-01
In this paper, we describe and evaluate a new distributed architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support), which leverages current health information exchange efforts and is based on the principles of a service-oriented architecture. The architecture allows disparate clinical information systems and clinical decision support systems to be seamlessly integrated over a network according to a set of interfaces and protocols described in this paper. The architecture described is fully defined and developed, and six use cases have been developed and tested using a prototype electronic health record which links to one of the existing prototype National Health Information Networks (NHIN): drug interaction checking, syndromic surveillance, diagnostic decision support, inappropriate prescribing in older adults, information at the point of care and a simple personal health record. Some of these use cases utilize existing decision support systems, which are either commercially or freely available at present, and developed outside of the SANDS project, while other use cases are based on decision support systems developed specifically for the project. Open source code for many of these components is available, and an open source reference parser is also available for comparison and testing of other clinical information systems and clinical decision support systems that wish to implement the SANDS architecture. The SANDS architecture for decision support has several significant advantages over other architectures for clinical decision support. The most salient of these are:
Grand Challenges in Clinical Decision Support v10
Sittig, Dean F.; Wright, Adam; Osheroff, Jerome A.; Middleton, Blackford; Teich, Jonathan M.; Ash, Joan S.; Campbell, Emily; Bates, David W.
2008-01-01
There is a pressing need for high-quality, effective means of designing, developing, presenting, implementing, evaluating, and maintaining all types of clinical decision support capabilities for clinicians, patients and consumers. Using an iterative, consensus-building process we identified a rank-ordered list of the top 10 grand challenges in clinical decision support. This list was created to educate and inspire researchers, developers, funders, and policy-makers. The list of challenges in order of importance that they be solved if patients and organizations are to begin realizing the fullest benefits possible of these systems consists of: Improve the human-computer interface; Disseminate best practices in CDS design, development, and implementation; Summarize patient-level information; Prioritize and filter recommendations to the user; Create an architecture for sharing executable CDS modules and services; Combine recommendations for patients with co-morbidities; Prioritize CDS content development and implementation; Create internet-accessible clinical decision support repositories; Use freetext information to drive clinical decision support; Mine large clinical databases to create new CDS. Identification of solutions to these challenges is critical if clinical decision support is to achieve its potential and improve the quality, safety and efficiency of healthcare. PMID:18029232
Downing, Gregory J; Boyle, Scott N; Brinner, Kristin M; Osheroff, Jerome A
2009-10-08
Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personalized medicine. Future health care strategies that deploy genomic technologies and molecular therapies will bring opportunities to prevent, predict, and pre-empt disease processes but will be dependent on knowledge management capabilities for health care providers that are not currently available. A key cornerstone to the potential application of this knowledge will be effective use of electronic health records. In particular, appropriate clinical use of genomic test results and molecularly-targeted therapies present important challenges in patient management that can be effectively addressed using electronic clinical decision support technologies. Approaches to shaping future health information needs for personalized medicine were undertaken by a work group of the American Health Information Community. A needs assessment for clinical decision support in electronic health record systems to support personalized medical practices was conducted to guide health future development activities. Further, a suggested action plan was developed for government, researchers and research institutions, developers of electronic information tools (including clinical guidelines, and quality measures), and standards development organizations to meet the needs for personalized approaches to medical practice. In this article, we focus these activities on stakeholder organizations as an operational framework to help identify and coordinate needs and opportunities for clinical decision support tools to enable personalized medicine. This perspective addresses conceptual approaches that can be undertaken to develop and apply clinical decision support in electronic health record systems to achieve personalized medical care. In addition, to represent meaningful benefits to personalized decision-making, a comparison of current and future applications of clinical decision support to enable individualized medical treatment plans is presented. If clinical decision support tools are to impact outcomes in a clear and positive manner, their development and deployment must therefore consider the needs of the providers, including specific practice needs, information workflow, and practice environment.
2009-01-01
Background Advances in technology and the scientific understanding of disease processes are presenting new opportunities to improve health through individualized approaches to patient management referred to as personalized medicine. Future health care strategies that deploy genomic technologies and molecular therapies will bring opportunities to prevent, predict, and pre-empt disease processes but will be dependent on knowledge management capabilities for health care providers that are not currently available. A key cornerstone to the potential application of this knowledge will be effective use of electronic health records. In particular, appropriate clinical use of genomic test results and molecularly-targeted therapies present important challenges in patient management that can be effectively addressed using electronic clinical decision support technologies. Discussion Approaches to shaping future health information needs for personalized medicine were undertaken by a work group of the American Health Information Community. A needs assessment for clinical decision support in electronic health record systems to support personalized medical practices was conducted to guide health future development activities. Further, a suggested action plan was developed for government, researchers and research institutions, developers of electronic information tools (including clinical guidelines, and quality measures), and standards development organizations to meet the needs for personalized approaches to medical practice. In this article, we focus these activities on stakeholder organizations as an operational framework to help identify and coordinate needs and opportunities for clinical decision support tools to enable personalized medicine. Summary This perspective addresses conceptual approaches that can be undertaken to develop and apply clinical decision support in electronic health record systems to achieve personalized medical care. In addition, to represent meaningful benefits to personalized decision-making, a comparison of current and future applications of clinical decision support to enable individualized medical treatment plans is presented. If clinical decision support tools are to impact outcomes in a clear and positive manner, their development and deployment must therefore consider the needs of the providers, including specific practice needs, information workflow, and practice environment. PMID:19814826
Developing future clinician scientists while supporting a research infrastructure.
Holsti, Maija; Adelgais, Kathleen M; Willis, Leah; Jacobsen, Kammy; Clark, Edward B; Byington, Carrie L
2013-04-01
Supporting clinical research is a national priority. Clinician scientists are rare and clinical trials in academic medical centers (AMC) often fail to meet enrollment goals. Undergraduate students interested in biomedical careers often lack opportunities to perform clinical research. Describe an innovative undergraduate course that supports clinical research in an AMC. The course, Clinical Research Methods and Practice, offers undergraduate students the opportunity to learn clinical research through didactic and practical experiences. The students in turn support clinician scientists' conduct of clinical studies in an AMC. Clinician scientists receive research support and participate in mentoring sessions for students. Over seven semesters, 128 students have assisted in 21 clinical studies located in outpatient and inpatient units of two hospitals. Students identified and screened eligible patients, collected clinical data, assisted in obtaining informed consent, and transported specimens. Many of the clinician scientists have met their enrollment goals and several have been top-enrollers in multicenter clinical trials as a result of student support. The Clinical Research Methods and Practice class addresses barriers to clinical research in AMC. This may be a model for institutions committed to mentoring students early in their career and to developing infrastructures for clinical research. © 2013 Wiley Periodicals, Inc.
Gillespie, Mary
2010-11-01
Nurses' clinical decision-making is a complex process that holds potential to influence the quality of care provided and patient outcomes. The evolution of nurses' decision-making that occurs with experience has been well documented. In addition, literature includes numerous strategies and approaches purported to support development of nurses' clinical decision-making. There has been, however, significantly less attention given to the process of assessing nurses' clinical decision-making and novice clinical educators are often challenged with knowing how to best support nurses and nursing students in developing their clinical decision-making capacity. The Situated Clinical Decision-Making framework is presented for use by clinical educators: it provides a structured approach to analyzing nursing students' and novice nurses' decision-making in clinical nursing practice, assists educators in identifying specific issues within nurses' clinical decision-making, and guides selection of relevant strategies to support development of clinical decision-making. A series of questions is offered as a guide for clinical educators when assessing nurses' clinical decision-making. The discussion presents key considerations related to analysis of various decision-making components, including common sources of challenge and errors that may occur within nurses' clinical decision-making. An exemplar illustrates use of the framework and guiding questions. Implications of this approach for selection of strategies that support development of clinical decision-making are highlighted. Copyright © 2010 Elsevier Ltd. All rights reserved.
Wright, Adam; Sittig, Dean F.
2008-01-01
In this paper we describe and evaluate a new distributed architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support), which leverages current health information exchange efforts and is based on the principles of a service-oriented architecture. The architecture allows disparate clinical information systems and clinical decision support systems to be seamlessly integrated over a network according to a set of interfaces and protocols described in this paper. The architecture described is fully defined and developed, and six use cases have been developed and tested using a prototype electronic health record which links to one of the existing prototype National Health Information Networks (NHIN): drug interaction checking, syndromic surveillance, diagnostic decision support, inappropriate prescribing in older adults, information at the point of care and a simple personal health record. Some of these use cases utilize existing decision support systems, which are either commercially or freely available at present, and developed outside of the SANDS project, while other use cases are based on decision support systems developed specifically for the project. Open source code for many of these components is available, and an open source reference parser is also available for comparison and testing of other clinical information systems and clinical decision support systems that wish to implement the SANDS architecture. PMID:18434256
Müller-Staub, Maria; de Graaf-Waar, Helen; Paans, Wolter
2016-11-01
Nurses are accountable to apply the nursing process, which is key for patient care: It is a problem-solving process providing the structure for care plans and documentation. The state-of-the art nursing process is based on classifications that contain standardized concepts, and therefore, it is named Advanced Nursing Process. It contains valid assessments, nursing diagnoses, interventions, and nursing-sensitive patient outcomes. Electronic decision support systems can assist nurses to apply the Advanced Nursing Process. However, nursing decision support systems are missing, and no "gold standard" is available. The study aim is to develop a valid Nursing Process-Clinical Decision Support System Standard to guide future developments of clinical decision support systems. In a multistep approach, a Nursing Process-Clinical Decision Support System Standard with 28 criteria was developed. After pilot testing (N = 29 nurses), the criteria were reduced to 25. The Nursing Process-Clinical Decision Support System Standard was then presented to eight internationally known experts, who performed qualitative interviews according to Mayring. Fourteen categories demonstrate expert consensus on the Nursing Process-Clinical Decision Support System Standard and its content validity. All experts agreed the Advanced Nursing Process should be the centerpiece for the Nursing Process-Clinical Decision Support System and should suggest research-based, predefined nursing diagnoses and correct linkages between diagnoses, evidence-based interventions, and patient outcomes.
Providing support to nursing students in the clinical environment: a nursing standard requirement.
Anderson, Carina; Moxham, Lorna; Broadbent, Marc
2016-10-01
This discussion paper poses the question 'What enables or deters Registered Nurses to take up their professional responsibility to support undergraduate nursing students through the provision of clinical education?'. Embedded within many nursing standards are expectations that Registered Nurses provide support and professional development to undergraduate nursing students undertaking clinical placements. Expectations within nursing standards that Registered Nurses provide support and professional development to nursing students are important because nursing students depend on Registered Nurses to help them to become competent practitioners. Contributing factors that enable and deter Registered Nurses from fulfilling this expectation to support nursing students in their clinical learning include; workloads, preparedness for the teaching role, confidence in teaching and awareness of the competency requirement to support students. Factors exist which can enable or deter Registered Nurses from carrying out the licence requirement to provide clinical education and support to nursing students.
Enabling professional development in mental health nursing: the role of clinical leadership.
Ennis, G; Happell, B; Reid-Searl, K
2015-10-01
Clinical leadership is acknowledged as important to the nursing profession. While studies continue to identify its significance in contributing to positive outcomes for consumers, the role that clinical leadership has in enabling and supporting professional development in mental health nursing is poorly understood. This study utilized a grounded theory methodology to explore the characteristics clinicians consider important for clinical leadership and its significance for mental health nursing in day-to-day clinical practice. Individual face-to-face, semi-structured interviews were conducted with nurses working in mental health settings. Participants described the important role that clinical leaders play in enabling professional development of others through role modelling and clinical teaching. They describe how nurses, whom they perceive as clinical leaders, use role modelling and clinical teaching to influence the professional development of nursing staff and undergraduate nursing students. Attributes such as professionalism and honesty were seen, by participants, as enablers for clinical leaders in effectively and positively supporting the professional development of junior staff and undergraduate nurses in mental health nursing. This paper examines clinical leadership from the perspective of mental health nurses delivering care, and highlights the important role of clinical leaders in supporting professional development in mental health nursing. © 2015 John Wiley & Sons Ltd.
Wolf, Matthew; Miller, Suzanne; DeJong, Doug; House, John A; Dirks, Carl; Beasley, Brent
2016-09-01
To establish a process for the development of a prioritization tool for a clinical decision support build within a computerized provider order entry system and concurrently to prioritize alerts for Saint Luke's Health System. The process of prioritizing clinical decision support alerts included (a) consensus sessions to establish a prioritization process and identify clinical decision support alerts through a modified Delphi process and (b) a clinical decision support survey to validate the results. All members of our health system's physician quality organization, Saint Luke's Care as well as clinicians, administrators, and pharmacy staff throughout Saint Luke's Health System, were invited to participate in this confidential survey. The consensus sessions yielded a prioritization process through alert contextualization and associated Likert-type scales. Utilizing this process, the clinical decision support survey polled the opinions of 850 clinicians with a 64.7 percent response rate. Three of the top rated alerts were approved for the pre-implementation build at Saint Luke's Health System: Acute Myocardial Infarction Core Measure Sets, Deep Vein Thrombosis Prophylaxis within 4 h, and Criteria for Sepsis. This study establishes a process for developing a prioritization tool for a clinical decision support build within a computerized provider order entry system that may be applicable to similar institutions. © The Author(s) 2015.
Achieving the World Health Organization's vision for clinical pharmacology
Henry, David; Gray, Jean; Day, Richard; Bochner, Felix; Ferro, Albert; Pirmohamed, Munir; Mörike, Klaus; Schwab, Matthias
2015-01-01
Clinical pharmacology is a medical specialty whose practitioners teach, undertake research, frame policy, give information and advice about the actions and proper uses of medicines in humans and implement that knowledge in clinical practice. It involves a combination of several activities: drug discovery and development, training safe prescribers, providing objective and evidence‐based therapeutic information to ethics, regulatory and pricing bodies, supporting patient care in an increasingly subspecialized arena where co‐morbidities, polypharmacy, altered pharmacokinetics and drug interactions are common and developing and contributing to medicines policies for Governments. Clinical pharmacologists must advocate drug quality and they must also advocate for sustainability of the Discipline. However for this they need appropriate clinical service and training support. This Commentary discusses strategies to ensure the Discipline is supported by teaching, training and policy organizations, to communicate the full benefits of clinical pharmacology services, put a monetary value on clinical pharmacology services and to grow the clinical pharmacology workforce to support a growing clinical, academic and regulatory need. PMID:26466826
Managing multicentre clinical trials with open source.
Raptis, Dimitri Aristotle; Mettler, Tobias; Fischer, Michael Alexander; Patak, Michael; Lesurtel, Mickael; Eshmuminov, Dilmurodjon; de Rougemont, Olivier; Graf, Rolf; Clavien, Pierre-Alain; Breitenstein, Stefan
2014-03-01
Multicentre clinical trials are challenged by high administrative burden, data management pitfalls and costs. This leads to a reduced enthusiasm and commitment of the physicians involved and thus to a reluctance in conducting multicentre clinical trials. The purpose of this study was to develop a web-based open source platform to support a multi-centre clinical trial. We developed on Drupal, an open source software distributed under the terms of the General Public License, a web-based, multi-centre clinical trial management system with the design science research approach. This system was evaluated by user-testing and well supported several completed and on-going clinical trials and is available for free download. Open source clinical trial management systems are capable in supporting multi-centre clinical trials by enhancing efficiency, quality of data management and collaboration.
How we implemented an analytical support clinic to strengthen student research capacity in Zambia.
Andrews, Ben; Musonda, Patrick; Simuyemba, Moses; Wilson, Craig M; Nzala, Selestine; Vermund, Sten H; Michelo, Charles
2014-12-11
Abstract Background: Research outputs in sub-Saharan Africa may be limited by a scarcity of clinical research expertise. In Zambia, clinical and biomedical postgraduate students are often delayed in graduation due to challenges in completing their research dissertations. We sought to strengthen institutional research capacity by supporting student and faculty researchers through weekly epidemiology and biostatistics clinics. Methods: We instituted a weekly Analytical Support Clinic at the University of Zambia, School of Medicine. A combination of biostatisticians, clinical researchers and epidemiologists meet weekly with clients to address questions of proposal development, data management and analysis. Clinic sign-in sheets were reviewed. Results: 109 students and faculty members accounted for 197 visits to the Clinic. Nearly all clients (107/109, 98.2%) were undergraduate or postgraduate students. Reasons for attending the Clinic were primarily for proposal development (46.7%) and data management/analysis (42.1%). The most common specific reasons for seeking help were data analysis and interpretation (36.5%), development of study design and research questions (26.9%) and sample size calculation (21.8%). Conclusions: The Analytical Support Clinic is an important vehicle for strengthening postgraduate research through one-on-one and small group demand-driven interactions. The clinic approach supplements mentorship from departmental supervisors, providing specific expertise and contextual teaching.
Overholser, Linda S; Moss, Kerry M; Kilbourn, Kristin; Risendal, Betsy; Jones, Alison F; Greffe, Brian S; Garrington, Timothy; Leonardi-Warren, Kristin; Yamashita, Traci E; Kutner, Jean S
2015-01-01
Describe the development and evolution of a primary-care-based, multidisciplinary clinic to support the ongoing care of adult survivors of childhood cancer. A consultative clinic for adult survivors of childhood cancer has been developed that is located in an adult, academic internal medicine setting and is based on a long-term follow-up clinic model available at Children's Hospital Colorado. The clinic opened in July 2008. One hundred thirty-five patients have been seen as of April 2014. Referrals and clinic capacity have gradually increased over time, and a template has been developed in the electronic medical record to help facilitate completion of individualized care plan letters. A primary care-based, multidisciplinary consultative clinic for adults with a history of childhood cancer survivor is feasible and actively engages adult primary care resources to provide risk-based care for long-term pediatric cancer survivors. This model of care planning can help support adult survivors of pediatric cancer and their primary care providers in non-academic, community settings as well. Copyright © 2015 Elsevier Inc. All rights reserved.
Kalogeropoulos, Dimitris A; Carson, Ewart R; Collinson, Paul O
2003-09-01
Given that clinicians presented with identical clinical information will act in different ways, there is a need to introduce into routine clinical practice methods and tools to support the scientific homogeneity and accountability of healthcare decisions and actions. The benefits expected from such action include an overall reduction in cost, improved quality of care, patient and public opinion satisfaction. Computer-based medical data processing has yielded methods and tools for managing the task away from the hospital management level and closer to the desired disease and patient management level. To this end, advanced applications of information and disease process modelling technologies have already demonstrated an ability to significantly augment clinical decision making as a by-product. The wide-spread acceptance of evidence-based medicine as the basis of cost-conscious and concurrently quality-wise accountable clinical practice suffices as evidence supporting this claim. Electronic libraries are one-step towards an online status of this key health-care delivery quality control environment. Nonetheless, to date, the underlying information and knowledge management technologies have failed to be integrated into any form of pragmatic or marketable online and real-time clinical decision making tool. One of the main obstacles that needs to be overcome is the development of systems that treat both information and knowledge as clinical objects with same modelling requirements. This paper describes the development of such a system in the form of an intelligent clinical information management system: a system which at the most fundamental level of clinical decision support facilitates both the organised acquisition of clinical information and knowledge and provides a test-bed for the development and evaluation of knowledge-based decision support functions.
Lobach, David F; Kawamoto, Kensaku; Anstrom, Kevin J; Russell, Michael L; Woods, Peter; Smith, Dwight
2007-01-01
Clinical decision support is recognized as one potential remedy for the growing crisis in healthcare quality in the United States and other industrialized nations. While decision support systems have been shown to improve care quality and reduce errors, these systems are not widely available. This lack of availability arises in part because most decision support systems are not portable or scalable. The Health Level 7 international standard development organization recently adopted a draft standard known as the Decision Support Service standard to facilitate the implementation of clinical decision support systems using software services. In this paper, we report the first implementation of a clinical decision support system using this new standard. This system provides point-of-care chronic disease management for diabetes and other conditions and is deployed throughout a large regional health system. We also report process measures and usability data concerning the system. Use of the Decision Support Service standard provides a portable and scalable approach to clinical decision support that could facilitate the more extensive use of decision support systems.
Welch, Brandon M; Rodriguez-Loya, Salvador; Eilbeck, Karen; Kawamoto, Kensaku
2014-01-01
Whole genome sequence (WGS) information could soon be routinely available to clinicians to support the personalized care of their patients. At such time, clinical decision support (CDS) integrated into the clinical workflow will likely be necessary to support genome-guided clinical care. Nevertheless, developing CDS capabilities for WGS information presents many unique challenges that need to be overcome for such approaches to be effective. In this manuscript, we describe the development of a prototype CDS system that is capable of providing genome-guided CDS at the point of care and within the clinical workflow. To demonstrate the functionality of this prototype, we implemented a clinical scenario of a hypothetical patient at high risk for Lynch Syndrome based on his genomic information. We demonstrate that this system can effectively use service-oriented architecture principles and standards-based components to deliver point of care CDS for WGS information in real-time.
The Resource Team: an innovative service delivery support model for mental health services.
O'Sullivan, Julie; Powell, Jacinta; Gibbon, Peter; Emmerson, Brett
2009-04-01
This paper outlines the development of the Resource Team, an innovative service delivery model supporting clinical services at the Inner North Brisbane Mental Health Service, Royal Brisbane and Women's Hospital Health Service District. The team aims to provide a base for specialist mental health support staff, improve knowledge management and support the development of meaningful community partnerships. Development of the team included a literature review and consultation with internal and external stakeholders. From this, the objectives, roles and functions of the team were clarified and disseminated to stakeholders. The team currently encompasses 12 positions and has initiated a number of programs and service developments. These include improved IT management of clinical resources and the development of partnerships with the community and non-government sectors. The Resource Team effectively coordinates specialist clinical support positions, addresses knowledge management issues and facilitates meaningful engagement with the community and non-government sectors. The model could easily be applied in other mental health and general health services.
Implementation of Health Insurance Support Tools in Community Health Centers.
Huguet, Nathalie; Hatch, Brigit; Sumic, Aleksandra; Tillotson, Carrie; Hicks, Elizabeth; Nelson, Joan; DeVoe, Jennifer E
2018-01-01
Health information technology (HIT) provides new opportunities for primary care clinics to support patients with health insurance enrollment and maintenance. We present strategies, early findings, and clinic reflections on the development and implementation of HIT tools designed to streamline and improve health insurance tracking at community health centers. We are conducting a hybrid implementation-effectiveness trial to assess novel health insurance enrollment and support tools in primary care clinics. Twenty-three clinics in 7 health centers from the OCHIN practice-based research network are participating in the implementation component of the trial. Participating health centers were randomized to 1 of 2 levels of implementation support, including arm 1 (n = 4 health centers, 11 clinic sites) that received HIT tools and educational materials and arm 2 (n = 3 health centers, 12 clinic sites) that received HIT tools, educational materials, and individualized implementation support with a practice coach. We used mixed-methods (qualitative and quantitative) to assess tool use rates and facilitators and barriers to implementation in the first 6 months. Clinics reported favorable attitudes toward the HIT tools, which replace less efficient and more cumbersome processes, and reflect on the importance of clinic engagement in tool development and refinement. Five of 7 health centers are now regularly using the tools and are actively working to increase tool use. Six months after formal implementation, arm 2 clinics demonstrated higher rates of tool use, compared with arm 1. These results highlight the value of early clinic input in tool development, the potential benefit of practice coaching during HIT tool development and implementation, and a novel method for coupling a hybrid implementation-effectiveness design with principles of improvement science in primary care research. © Copyright 2018 by the American Board of Family Medicine.
Factors influencing radiation therapy student clinical placement satisfaction
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bridge, Pete; Carmichael, Mary-Ann
Introduction: Radiation therapy students at Queensland University of Technology (QUT) attend clinical placements at five different clinical departments with varying resources and support strategies. This study aimed to determine the relative availability and perceived importance of different factors affecting student support while on clinical placement. The purpose of the research was to inform development of future support mechanisms to enhance radiation therapy students’ experience on clinical placement. Methods: This study used anonymous Likert-style surveys to gather data from years 1 and 2 radiation therapy students from QUT and clinical educators from Queensland relating to availability and importance of support mechanismsmore » during clinical placements in a semester. Results: The study findings demonstrated student satisfaction with clinical support and suggested that level of support on placement influenced student employment choices. Staff support was perceived as more important than physical resources; particularly access to a named mentor, a clinical educator and weekly formative feedback. Both students and educators highlighted the impact of time pressures. Conclusions: The support offered to radiation therapy students by clinical staff is more highly valued than physical resources or models of placement support. Protected time and acknowledgement of the importance of clinical education roles are both invaluable. Joint investment in mentor support by both universities and clinical departments is crucial for facilitation of effective clinical learning.« less
The National Cancer Institute (NCI) is seeking input from the community on identifying priorities with regards to supporting innovative technology development for cancer-relevant research. While the NCI provides support for technology development through a variety of mechanisms, it is important to understand whether or not these are sufficient for catalyzing and supporting the development of tools with significant potential for advancing important fields of cancer research or clinical care.
59th Clinical Research Division Research Day Briefing
2016-10-27
59th Medical Wing a ’r’. ’ ( ~ ~ ’ ""· ~... ’ .,,,. lS! lflof!’~l. 59th Clinical Research Division Research Day Briefing Colonel Linda Steel...oversight and guidance to researchers in the development, performance, and dissemination of clinical investigations. CRD directly supports wing...Clinical Investigation Support 2. Training 3. Support of RDT&E protocols 4. Research Subject Protection • Human Subjects: IRS - Institutional
A work-based learning approach for clinical support workers on mental health inpatient wards.
Kemp, Philip; Gilding, Moorene; Seewooruttun, Khooseal; Walsh, Hannah
2016-09-14
Background With a rise in the number of unqualified staff providing health and social care, and reports raising concerns about the quality of care provided, there is a need to address the learning needs of clinical support workers. This article describes a qualitative evaluation of a service improvement project that involved a work-based learning approach for clinical support workers on mental health inpatient wards. Aim To investigate and identify insights in relation to the content and process of learning using a work-based learning approach for clinical support workers. Method This was a qualitative evaluation of a service improvement project involving 25 clinical support workers at the seven mental health inpatient units in South London and Maudsley NHS Foundation Trust. Three clinical skills tutors were appointed to develop, implement and evaluate the work-based learning approach. Four sources of data were used to evaluate this approach, including reflective journals, qualitative responses to questionnaires, three focus groups involving the clinical support workers and a group interview involving the clinical skills tutors. Data were analysed using thematic analysis. Findings The work-based learning approach was highly valued by the clinical support workers and enhanced learning in practice. Face-to-face learning in practice helped the clinical support workers to develop practice skills and reflective learning skills. Insights relating to the role of clinical support workers were also identified, including the benefits of face-to-face supervision in practice, particularly in relation to the interpersonal aspects of care. Conclusion A work-based learning approach has the potential to enhance care delivery by meeting the learning needs of clinical support workers and enabling them to apply learning to practice. Care providers should consider how the work-based learning approach can be used on a systematic, organisation-wide basis in the context of budgetary restrictions.
Supporting new graduate professional development: a clinical learning framework.
Fitzgerald, Cate; Moores, Alis; Coleman, Allison; Fleming, Jennifer
2015-02-01
New graduate occupational therapists are required to competently deliver health-care practices within complex care environments. An occupational therapy clinical education programme within a large public sector health service sought to investigate methods to support new graduates in their clinical learning and professional development. Three cycles of an insider action research approach each using the steps of planning, action, critical observation and reflection were undertaken to investigate new graduate learning strategies, develop a learning framework and pilot its utility. Qualitative research methods were used to analyse data gathered during the action research cycles. Action research identified variations in current practices to support new graduate learning and to the development of the Occupational Therapy Clinical Learning Framework (OTCLF). Investigation into the utility of the OTCLF revealed two themes associated with its implementation namely (i) contribution to learning goal development and (ii) compatibility with existing learning supports. The action research cycles aimed to review current practices to support new graduate learning. The learning framework developed encourages reflection to identify learning needs and the review, discussion of, and engagement in, goal setting and learning strategies. Preliminary evidence indicates that the OTCLF has potential as an approach to guide new graduate goal development supported by supervision. Future opportunity to implement a similar learning framework in other allied health professions was identified, enabling a continuation of the cyclical nature of enquiry, integral to this research approach within the workplace. © 2014 Occupational Therapy Australia.
Problem Areas in Data Warehousing and Data Mining in a Surgical Clinic
Tusch, Guenter; Mueller, Margarete; Rohwer-Mensching, Katrin; Heiringhoff, Karlheinz; Klempnauer, Juergen
2001-01-01
Hospitals and clinics have taken advantage of information systems to streamline many clinical and administrative processes. However, the potential of health care information technology as a source of data for clinical and administrative decision support has not been fully explored. In response to pressure for timely information, many hospitals are developing clinical data warehouses. This paper attempts to identify problem areas in the process of developing a data warehouse to support data mining in surgery. Based on the experience from a data warehouse in surgery several solutions are discussed.
The clinical utility index as a practical multiattribute approach to drug development decisions.
Poland, B; Hodge, F L; Khan, A; Clemen, R T; Wagner, J A; Dykstra, K; Krishna, R
2009-07-01
We identify some innovative approaches to predicting overall patient benefit from investigational drugs to support development decisions. We then illustrate calculation of a probabilistic clinical utility index (CUI), an implementation of multiattribute utility that focuses on clinical attributes. We recommend use of the CUI for the support of early drug development decisions because of its practicality, reasonable accuracy, and transparency to decision makers, at stages in which financial factors that may dominate later-phase decisions are less critical.
Howlin, Frances; Halligan, Phil; O'Toole, Sinead
2014-09-01
Equality and disability legislation, coupled with increasing numbers of students with a disability, and inadequate supports in clinical practice, acted as catalysts to explore how best to support undergraduate nursing and midwifery students on clinical placements. Historically, higher education institutions provide reasonable accommodations for theoretical rather than clinical modules for practice placements. This paper describes the development and implementation of a Clinical Needs Assessment designed to identify the necessary supports or reasonable accommodations for nursing and midwifery students with a disability undertaking work placements in clinical practice. The existing literature, and consultation with an expert panel, revealed that needs assessments should be competency based and clearly identify the core skills or elements of practice that the student must attain to achieve proficiency and competence. The five Domains of Competence, advocated by An Bord Altranais, the Nursing and Midwifery Board of Ireland, formed the framework for the Clinical Needs Assessment. A panel of experts generated performance indicators to enable the identification of individualised reasonable accommodations for year 1 nursing and midwifery students in one Irish University. Development and implementation of the Clinical Needs Assessment promoted equality, inclusion and a level playing field for nursing and midwifery students with a disability in clinical practice. Copyright © 2014 Elsevier Ltd. All rights reserved.
Practitioner perspectives on extended clinical placement programs in optometry.
Bentley, Sharon A; Cartledge, Amy; Guest, Daryl J; Cappuccio, Skye; Woods, Craig A
2016-05-01
Some universities are looking to provide a more diverse range of clinical learning experiences through extended clinical placement programs. This approach will potentially have a significant impact on practitioners. The aim of this study was to conduct a national survey of optometrists to ascertain their perspectives on participating in extended clinical placement programs. Members of Optometry Australia were invited to participate in a survey conducted during June and July 2014. A total of 268 practitioners participated (six per cent of registered Australian optometrists): 159 were predominantly employees or locums and 109 were owners or managers who identified as the key representative of a practice or organisation for the purpose of this survey. Almost two-thirds (65 per cent) of participants, who were employees or locums were supportive of extended clinical placement programs. Among this group, females were more likely to be supportive than males (p = 0.033). In comparison, just over one-third (34 per cent) of participants who were key decision-makers were supportive, with 30 per cent possibly supportive and 36 per cent not supportive. Among key decision-makers, males were more likely to be supportive (p = 0.009). The top three perceived advantages of supervising a student were: opportunity to mentor early career development, opportunity to give back to the profession and future recruitment. The top three perceived disadvantages were: burden on time, decrease in number of patients examined and burden on support staff. Suggested incentives for supervising students were credit for continuing professional development and financial remuneration. There appears to be moderate support for extended clinical placement programs; however, there are incentives that might engage a larger proportion of the profession in the future. These findings can inform the development of effective and sustainable clinical training programs for optometry students. Additionally, the findings might be used as evidence to seek Government support for clinical placement training in optometry. © 2016 Optometry Australia.
Clinical supervision in a community setting.
Evans, Carol; Marcroft, Emma
Clinical supervision is a formal process of professional support, reflection and learning that contributes to individual development. First Community Health and Care is committed to providing clinical supervision to nurses and allied healthcare professionals to support the provision and maintenance of high-quality care. In 2012, we developed new guidelines for nurses and AHPs on supervision, incorporating a clinical supervision framework. This offers a range of options to staff so supervision accommodates variations in work settings and individual learning needs and styles.
Factors influencing radiation therapy student clinical placement satisfaction
Bridge, Pete; Carmichael, Mary-Ann
2014-01-01
Introduction: Radiation therapy students at Queensland University of Technology (QUT) attend clinical placements at five different clinical departments with varying resources and support strategies. This study aimed to determine the relative availability and perceived importance of different factors affecting student support while on clinical placement. The purpose of the research was to inform development of future support mechanisms to enhance radiation therapy students’ experience on clinical placement. Methods: This study used anonymous Likert-style surveys to gather data from years 1 and 2 radiation therapy students from QUT and clinical educators from Queensland relating to availability and importance of support mechanisms during clinical placements in a semester. Results: The study findings demonstrated student satisfaction with clinical support and suggested that level of support on placement influenced student employment choices. Staff support was perceived as more important than physical resources; particularly access to a named mentor, a clinical educator and weekly formative feedback. Both students and educators highlighted the impact of time pressures. Conclusions: The support offered to radiation therapy students by clinical staff is more highly valued than physical resources or models of placement support. Protected time and acknowledgement of the importance of clinical education roles are both invaluable. Joint investment in mentor support by both universities and clinical departments is crucial for facilitation of effective clinical learning. PMID:26229635
Zulman, Donna M; Martins, Susana B; Liu, Yan; Tu, Samson W; Hoffman, Brian B; Asch, Steven M; Goldstein, Mary K
2015-01-01
Decision support tools increasingly integrate clinical knowledge such as medication indications and contraindications with electronic health record (EHR) data to support clinical care and patient safety. The availability of this encoded information and patient data provides an opportunity to develop measures of clinical decision complexity that may be of value for quality improvement and research efforts. We investigated the feasibility of using encoded clinical knowledge and EHR data to develop a measure of comorbidity interrelatedness (the degree to which patients' co-occurring conditions interact to generate clinical complexity). Using a common clinical scenario-decisions about blood pressure medications in patients with hypertension-we quantified comorbidity interrelatedness by calculating the number of indications and contraindications to blood pressure medications that are generated by patients' comorbidities (e.g., diabetes, gout, depression). We examined properties of comorbidity interrelatedness using data from a decision support system for hypertension in the Veterans Affairs Health Care System.
The current status and trend of clinical pharmacology in developing countries
2013-01-01
Background Several international forums for promoting clinical pharmacology in developing countries have been held since 1980, and several clinical pharmacology programmes targeting developing countries were instituted such that the status of clinical pharmacology in developing countries is not where it was 50 years ago. Therefore, a survey and an appraisal of the literature on the current status of clinical pharmacology in developing countries were undertaken with a hope that it would enable development of appropriate strategies for further promotion of clinical pharmacology in these countries. Methods First, nine determinants (or enabling factors) for running a successful clinical pharmacology programme were identified, i.e., disease burden, drug situation, economic growth, clinical pharmacology activities, recognition, human capital, government support, international collaboration, and support for traditional/alternative medicines. These factors were then evaluated with regard to their current status in the developing countries that responded to an electronic questionnaire, and their historical perspective, using the literature appraisal. From these, a projected trend was constructed with recommendations on the way forward. Results Clinical pharmacology services, research and teaching in developing countries have improved over the past 50 years with over 90% of countries having the appropriate policies for regulation and rational use of medicines in place. Unfortunately, policy implementation remains a challenge, owing to a worsening disease burden and drug situation, versus fewer clinical pharmacologists and other competing priorities for the national budgets. This has led to a preference for training ‘a physician clinical pharmacologist’ in programmes emphasizing local relevancy and for a shorter time, and the training of other professionals in therapeutics for endemic diseases (task shifting), as the most promising strategies of ensuring rational use of medicines. Conclusion Clinical pharmacology in developing countries is advancing in a different way to that in the developed world and continuing support for these efforts will go a long way in promoting improved health for all. PMID:24074056
Ogutu, Bernhards R; Baiden, Rita; Diallo, Diadier; Smith, Peter G; Binka, Fred N
2010-04-20
The Malaria Clinical Trials Alliance (MCTA), a programme of INDEPTH network of demographic surveillance centres, was launched in 2006 with two broad objectives: to facilitate the timely development of a network of centres in Africa with the capacity to conduct clinical trials of malaria vaccines and drugs under conditions of good clinical practice (GCP); and to support, strengthen and mentor the centres in the network to facilitate their progression towards self-sustaining clinical research centres. Sixteen research centres in 10 African malaria-endemic countries were selected that were already working with the Malaria Vaccine Initiative (MVI) or the Medicines for Malaria Venture (MMV). All centres were visited to assess their requirements for research capacity development through infrastructure strengthening and training. Support provided by MCTA included: laboratory and facility refurbishment; workshops on GCP, malaria diagnosis, strategic management and media training; and training to support staff to undertake accreditation examinations of the Association of Clinical Research Professionals (ACRP). Short attachments to other network centres were also supported to facilitate sharing practices within the Alliance. MCTA also played a key role in the creation of the African Media & Malaria Research Network (AMMREN), which aims to promote interaction between researchers and the media for appropriate publicity and media reporting of research and developments on malaria, including drug and vaccine trials. In three years, MCTA strengthened 13 centres to perform GCP-compliant drug and vaccine trials, including 11 centres that form the backbone of a large phase III malaria vaccine trial. MCTA activities have demonstrated that centres can be brought up to GCP compliance on this time scale, but the costs are substantial and there is a need for further support of other centres to meet the growing demand for clinical trial capacity. The MCTA experience also indicates that capacity development in clinical trials is best carried out in the context of preparation for specific trials. In this regard MCTA centres involved in the phase III malaria vaccine trial were, on average, more successful at consolidating the training and infrastructure support than those centres focussing only on drug trials.
2010-01-01
Background The Malaria Clinical Trials Alliance (MCTA), a programme of INDEPTH network of demographic surveillance centres, was launched in 2006 with two broad objectives: to facilitate the timely development of a network of centres in Africa with the capacity to conduct clinical trials of malaria vaccines and drugs under conditions of good clinical practice (GCP); and to support, strengthen and mentor the centres in the network to facilitate their progression towards self-sustaining clinical research centres. Case description Sixteen research centres in 10 African malaria-endemic countries were selected that were already working with the Malaria Vaccine Initiative (MVI) or the Medicines for Malaria Venture (MMV). All centres were visited to assess their requirements for research capacity development through infrastructure strengthening and training. Support provided by MCTA included: laboratory and facility refurbishment; workshops on GCP, malaria diagnosis, strategic management and media training; and training to support staff to undertake accreditation examinations of the Association of Clinical Research Professionals (ACRP). Short attachments to other network centres were also supported to facilitate sharing practices within the Alliance. MCTA also played a key role in the creation of the African Media & Malaria Research Network (AMMREN), which aims to promote interaction between researchers and the media for appropriate publicity and media reporting of research and developments on malaria, including drug and vaccine trials. Conclusion In three years, MCTA strengthened 13 centres to perform GCP-compliant drug and vaccine trials, including 11 centres that form the backbone of a large phase III malaria vaccine trial. MCTA activities have demonstrated that centres can be brought up to GCP compliance on this time scale, but the costs are substantial and there is a need for further support of other centres to meet the growing demand for clinical trial capacity. The MCTA experience also indicates that capacity development in clinical trials is best carried out in the context of preparation for specific trials. In this regard MCTA centres involved in the phase III malaria vaccine trial were, on average, more successful at consolidating the training and infrastructure support than those centres focussing only on drug trials. PMID:20406478
Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis.
Velupillai, S; Mowery, D; South, B R; Kvist, M; Dalianis, H
2015-08-13
We present a review of recent advances in clinical Natural Language Processing (NLP), with a focus on semantic analysis and key subtasks that support such analysis. We conducted a literature review of clinical NLP research from 2008 to 2014, emphasizing recent publications (2012-2014), based on PubMed and ACL proceedings as well as relevant referenced publications from the included papers. Significant articles published within this time-span were included and are discussed from the perspective of semantic analysis. Three key clinical NLP subtasks that enable such analysis were identified: 1) developing more efficient methods for corpus creation (annotation and de-identification), 2) generating building blocks for extracting meaning (morphological, syntactic, and semantic subtasks), and 3) leveraging NLP for clinical utility (NLP applications and infrastructure for clinical use cases). Finally, we provide a reflection upon most recent developments and potential areas of future NLP development and applications. There has been an increase of advances within key NLP subtasks that support semantic analysis. Performance of NLP semantic analysis is, in many cases, close to that of agreement between humans. The creation and release of corpora annotated with complex semantic information models has greatly supported the development of new tools and approaches. Research on non-English languages is continuously growing. NLP methods have sometimes been successfully employed in real-world clinical tasks. However, there is still a gap between the development of advanced resources and their utilization in clinical settings. A plethora of new clinical use cases are emerging due to established health care initiatives and additional patient-generated sources through the extensive use of social media and other devices.
Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis
Mowery, D.; South, B. R.; Kvist, M.; Dalianis, H.
2015-01-01
Summary Objectives We present a review of recent advances in clinical Natural Language Processing (NLP), with a focus on semantic analysis and key subtasks that support such analysis. Methods We conducted a literature review of clinical NLP research from 2008 to 2014, emphasizing recent publications (2012-2014), based on PubMed and ACL proceedings as well as relevant referenced publications from the included papers. Results Significant articles published within this time-span were included and are discussed from the perspective of semantic analysis. Three key clinical NLP subtasks that enable such analysis were identified: 1) developing more efficient methods for corpus creation (annotation and de-identification), 2) generating building blocks for extracting meaning (morphological, syntactic, and semantic subtasks), and 3) leveraging NLP for clinical utility (NLP applications and infrastructure for clinical use cases). Finally, we provide a reflection upon most recent developments and potential areas of future NLP development and applications. Conclusions There has been an increase of advances within key NLP subtasks that support semantic analysis. Performance of NLP semantic analysis is, in many cases, close to that of agreement between humans. The creation and release of corpora annotated with complex semantic information models has greatly supported the development of new tools and approaches. Research on non-English languages is continuously growing. NLP methods have sometimes been successfully employed in real-world clinical tasks. However, there is still a gap between the development of advanced resources and their utilization in clinical settings. A plethora of new clinical use cases are emerging due to established health care initiatives and additional patient-generated sources through the extensive use of social media and other devices. PMID:26293867
Beerlage-de Jong, Nienke; Wentzel, Jobke; Hendrix, Ron; van Gemert-Pijnen, Lisette
2017-04-01
Current clinical decision support systems (CDSSs) for antimicrobial stewardship programs (ASPs) are guideline- or expert-driven. They are focused on (clinical) content, not on supporting real-time workflow. Thus, CDSSs fail to optimally support prudent antimicrobial prescribing in daily practice. Our aim was to demonstrate why and how participatory development (involving end-users and other stakeholders) can contribute to the success of CDSSs in ASPs. A mixed-methods approach was applied, combining scenario-based prototype evaluations (to support verbalization of work processes and out-of-the-box thinking) among 6 medical resident physicians with an online questionnaire (to cross-reference findings of the prototype evaluations) among 54 Dutch physicians. The prototype evaluations resulted in insight into the end-users and their way of working, as well as their needs and expectations. The online questionnaire that was distributed among a larger group of medical specialists, including lung and infection experts, complemented the findings of the prototype evaluations. It revealed a say/do problem concerning the unrecognized need of support for selecting diagnostic tests. Low-fidelity prototypes of a technology allow researchers to get to know the end-users, their way of working, and their work context. Involving experts allows technology developers to continuously check the fit between technology and clinical practice. The combination enables the participatory development of technology to successfully support ASPs. Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
Automated information systems provide health information management support to veterans' healthcare.
Lloyd, S S
1992-06-01
The Veterans Health Administration has implemented a comprehsnsive DHCP which supports the VA healthcare system at both local and national levels. Numerous clinical and management modules have been developed; an overview was given of selected applications impacting health information managers. Continuing development includes an automated clinical record and expanded electronic data exchange.
Personalizing Drug Selection Using Advanced Clinical Decision Support
Pestian, John; Spencer, Malik; Matykiewicz, Pawel; Zhang, Kejian; Vinks, Alexander A.; Glauser, Tracy
2009-01-01
This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States’ leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting. PMID:19898682
The Development of a Scale to Assess Practitioner Capacity to Engage in Clinical Education
ERIC Educational Resources Information Center
Abey, Sally; Lea, Susan; Callaghan, Lynne; Cotton, Debby; Shaw, Steve
2015-01-01
Clinical educators play an important role in the development of clinical skills during health care undergraduates' practice placements. The supportiveness of the learning environment and the attitude of the clinical educator towards student development are considered to be important factors that impact upon practice placement experience, although…
Hall, Jacqueline A; Brown, Robert
2013-09-27
The integration of molecular information in clinical decision making is becoming a reality. These changes are shaping the way clinical research is conducted, and as reality sets in, the challenges in conducting, managing and organising multi-disciplinary research become apparent. Clinical trials provide a platform to conduct translational research (TR) within the context of high quality clinical data accrual. Integrating TR objectives in trials allows the execution of pivotal studies that provide clinical evidence for biomarker-driven treatment strategies, targeting early drug development trials to a homogeneous and well defined patient population, supports the development of companion diagnostics and provides an opportunity for deepening our understanding of cancer biology and mechanisms of drug action. To achieve these goals within a clinical trial, developing translational research infrastructure and capabilities (TRIC) plays a critical catalytic role for translating preclinical data into successful clinical research and development. TRIC represents a technical platform, dedicated resources and access to expertise promoting high quality standards, logistical and operational support and unified streamlined procedures under an appropriate governance framework. TRIC promotes integration of multiple disciplines including biobanking, laboratory analysis, molecular data, informatics, statistical analysis and dissemination of results which are all required for successful TR projects and scientific progress. Such a supporting infrastructure is absolutely essential in order to promote high quality robust research, avoid duplication and coordinate resources. Lack of such infrastructure, we would argue, is one reason for the limited effect of TR in clinical practice beyond clinical trials.
[Virtual clinical diagnosis support system of degenerative stenosis of the lumbar spinal canal].
Shevelev, I N; Konovalov, N A; Cherkashov, A M; Molodchenkov, A A; Sharamko, T G; Asiutin, D S; Nazarenko, A G
2013-01-01
The aim of the study was to develop a virtual clinical diagnostic support system of degenerative lumbar spinal stenosis on database of spine registry. Choice of criteria's for diagnostic system was made on symptom analysis of 298 patients with lumbar spinal stenosis. Also was analysed a group of patient with disc herniation's for sensitivity and specify assessment of developed diagnostic support system. Represented clinical diagnostic support system allows identifying patients with degenerative lumbar spinal stenosis on stage of patient's primary visit. System sensitivity and specify are 90 and 71% respectively. "Online" mode of diagnostic system in structure of spine registry provides maximal availability for specialists, regardless of their locations. Development of tools "medicine 2.0" is the actual direction for carrying out further researches with which carrying out the centralized baea collection by means of specialized registers helps.
A web access script language to support clinical application development.
O'Kane, K C; McColligan, E E
1998-02-01
This paper describes the development of a script language to support the implementation of decentralized, clinical information applications on the World Wide Web (Web). The goal of this work is to facilitate construction of low overhead, fully functional clinical information systems that can be accessed anywhere by low cost Web browsers to search, retrieve and analyze stored patient data. The Web provides a model of network access to data bases on a global scale. Although it was originally conceived as a means to exchange scientific documents, Web browsers and servers currently support access to a wide variety of audio, video, graphical and text based data to a rapidly growing community. Access to these services is via inexpensive client software browsers that connect to servers by means of the open architecture of the Internet. In this paper, the design and implementation of a script language that supports the development of low cost, Web-based, distributed clinical information systems for both Inter- and Intra-Net use is presented. The language is based on the Mumps language and, consequently, supports many legacy applications with few modifications. Several enhancements, however, have been made to support modern programming practices and the Web interface. The interpreter for the language also supports standalone program execution on Unix, MS-Windows, OS/2 and other operating systems.
Hongsermeier, Tonya; Maviglia, Saverio; Tsurikova, Lana; Bogaty, Dan; Rocha, Roberto A; Goldberg, Howard; Meltzer, Seth; Middleton, Blackford
2011-01-01
The goal of the CDS Consortium (CDSC) is to assess, define, demonstrate, and evaluate best practices for knowledge management and clinical decision support in healthcare information technology at scale - across multiple ambulatory care settings and Electronic Health Record technology platforms. In the course of the CDSC research effort, it became evident that a sound legal foundation was required for knowledge sharing and clinical decision support services in order to address data sharing, intellectual property, accountability, and liability concerns. This paper outlines the framework utilized for developing agreements in support of sharing, accessing, and publishing content via the CDSC Knowledge Management Portal as well as an agreement in support of deployment and consumption of CDSC developed web services in the context of a research project under IRB oversight.
Cable, Stuart; Graham, Edith
2018-03-30
Outcomes of an accelerated co-active coaching intervention for senior clinical nursing leadership development. Co-active coaching is characterized by a whole person approach, commitment to deep learning and conscious action through supportive compassionate and courageous coach-coachee partnership. The national leadership capabilities framework, "Step into Leadership", was used for development and evaluation. 116 senior clinical nurse leaders attended one face-to-face induction day and received a total of 3 hours of one-to-one telephone coaching and two virtual peer group facilitated sessions. Evaluation used primarily qualitative descriptive methods with iterative review of emerging themes. Capability mapping indicated self-leadership development as the most frequently cited need. Improvements in self-confidence, capacity for reflection and bringing whole self into the work were reported to deliver enhancement in team and service performance. Co-active coaching supported deep analysis by individuals. Focus on self, rather than behaviours provoked reflection on perspectives, mindsets, beliefs and approaches which can lead to more sustainable behaviour and support service change. Investment in a co-active coaching approach offers bespoke support for clinical leaders to develop self-leadership capability, a precursor to delivering positive impacts on care. © 2018 John Wiley & Sons Ltd.
Clinical Space Medicine Products as Developed by the Medical Operations Support Team (MOST)
NASA Technical Reports Server (NTRS)
Polk, James D.; Doerr, Harold K.; Hurst, Victor W., IV; Schmid, Josef
2007-01-01
Medical Operations Support Team (MOST) is introducing/integrating teaching practices associated with high fidelity human patient simulation into the NASA culture, in particular, into medical training sessions and medical procedure evaluations. Current/Future Products iclude: a) Development of Sub-optimal Airway Protocols for the International Space Station (ISS) using the ILMA; b) Clinical Core Competency Training for NASA Flight Surgeons (FS); c) Post-Soyuz Landing Clinical Training for NASA FS; d) Experimental Integrated Training for Astronaut Crew Medical Officers and NASA FS; and e) Private Clinical Refresher Training.
[Consideration of national policies to support the development of medical services for dementia].
Awata, Shuichi
2014-01-01
To consider national policies to support the development of medical services for dementia, we conducted three studies. Study 1: We evaluated the dementia management capacity of clinics using a questionnaire on medical services for dementia 1) Clinics that employed doctors who had attended a lecture on dementia management had a superior capacity to provide primary care services, make diagnoses, manage behavioral and psychological symptoms of dementia (BPSD), provide home healthcare for dementia, and promote community integration compared to clinics that did not employ such doctors. 2)Clinics that employed"dementia support doctors"had a superior capacity to provide such dementia management as mentioned above compared to clinics employing doctors who had attended a lecture on dementia management. However, 3) the questionnaire data suggested that only some clinics that employed "dementia support doctors" could provide such medical services as diagnosis of dementia, management of BPSD, and promotion of community integration in their regular clinical practice. Study 2: We evaluated the current activities of Medical Centers for Dementia (MCDs). 1) MCDs had more efficient activities in general compared to Dementia Centers for the Elderly (DCEs) established in 1989 and suspended in 2007. However, there was a large disparity among the facilities in terms of their activities. 2) Many MCDs thought that they could not provide adequate services due to the size of their catchment area. 3) Emergency services for dementia patients with concurrent medical conditions were supported by staff of many MCDs located in general hospitals without the designation of a special MCD for providing emergency services. 4) Inpatient stays tended to be longer in psychiatric hospitals where MCDs were located. Study 3: We conducted a preliminary investigation on activities in possible "dementia support clinics". These clinics had an inferior capacity to provide inpatient services but a similar capacity to make diagnoses, provide management of BPSD, and promote community integration compared to MCDs. From these findings, we made recommendations as follows: (1) It is necessary to not only increase the number of "dementia support doctors", but also to develop adequate numbers of "dementia support clinics" that provide such medical services as diagnosis of dementia, management of BPSD, and promotion of community integration in cooperation with community general support centers in regular clinical practice. (2) It is necessary to monitor the level of activities and develop adequate numbers of MCDs based on the size of the area and population. MCDs should take part in establishing community-based, integrated care systems in cooperation with the local government. Equipping "dementia support teams" might be indispensable in general hospitals that provide emergency medical services for dementia patients. (3) It would be significant to arrange "dementia support clinics" as a medical resource to make diagnoses, provide management of BPSD, and promote community integration for dementia in local dementia planning by a municipality.
Attrill, Stacie; Lincoln, Michelle; McAllister, Sue
2016-07-16
Health professional education programs attract students from around the world and clinical supervisors frequently report that international students find learning in clinical placement contexts particularly challenging. In existing literature clinical supervisors, who support international students on placement have identified concerns about their communication and interactions within clinical environments. However, clinical supervisors' perspectives about their experiences with international students on placement and the strategies they utilise to facilitate international student learning have not been described. As a result we have little insight into the nature of these concerns and what clinical supervisors do to support international students' competency development. Five focus group interviews were conducted with twenty Speech-Language Pathology clinical supervisors, recruited from 2 Australian universities. Interview data were analysed thematically. Themes identified were interpreted using cognitive load and sociocultural learning theories to enhance understanding of the findings. Four themes were identified: 'Complex teaching and learning relationships', 'Conceptions of students as learners'; Student communication skills for professional practice', and 'Positive mutual learning relationships'. Findings indicated that clinical supervisors felt positive about supporting international students in clinical placements and experienced mutual learning benefits. However, they also identified factors inherent to international students and the placement environment that added to workload, and made facilitating student learning complex. Clinical supervisors described strategies they used to support international students' cultural adjustment and learning, but communication skills were reported to be difficult to facilitate within the constraints of placements. Future research should address the urgent need to develop and test strategies for improving international students' learning in clinical settings.
Kelly, Thomas H; Mattacola, Carl G
2010-11-01
The National Institutes of Health's Clinical and Translational Science Award initiative is designed to establish and promote academic centers of clinical and translational science (CTS) that are empowered to train and advance multi- and interdisciplinary investigators and research teams to apply new scientific knowledge and techniques to enhance patient care. Among the key components of a full-service center for CTS is an educational platform to support research training in CTS. Educational objectives and resources available to support the career development of the clinical and translational scientists, including clinical research education, mentored research training, and career development support, are described. The purpose of the article is to provide an overview of the CTS educational model so that rehabilitation specialists can become more aware of potential resources that are available and become more involved in the delivery and initiation of the CTS model in their own workplace. Rehabilitation clinicians and scientists are well positioned to play important leadership roles in advancing the academic mission of CTS. Rigorous academic training in rehabilitation science serves as an effective foundation for supporting the translation of basic scientific discovery into improved health care. Rehabilitation professionals are immersed in patient care, familiar with interdisciplinary health care delivery, and skilled at working with multiple health care professionals. The NIH Clinical and Translational Science Award initiative is an excellent opportunity to advance the academic development of rehabilitation scientists.
Liaw, Sok Ying; Rashasegaran, Ahtherai; Wong, Lai Fun; Deneen, Christopher Charles; Cooper, Simon; Levett-Jones, Tracy; Goh, Hongli Sam; Ignacio, Jeanette
2018-03-01
The development of clinical reasoning skills in recognising and responding to clinical deterioration is essential in pre-registration nursing education. Simulation has been increasingly used by educators to develop this skill. To develop and evaluate the psychometric properties of a Clinical Reasoning Evaluation Simulation Tool (CREST) for measuring clinical reasoning skills in recognising and responding to clinical deterioration in a simulated environment. A scale development with psychometric testing and mixed methods study. Nursing students and academic staff were recruited at a university. A three-phase prospective study was conducted. Phase 1 involved the development and content validation of the CREST; Phase 2 included the psychometric testing of the tool with 15 second-year and 15 third-year nursing students who undertook the simulation-based assessment; Phase 3 involved the usability testing of the tool with nine academic staff through a survey questionnaire and focus group discussion. A 10-item CREST was developed based on a model of clinical reasoning. A content validity of 0.93 was obtained from the validation of 15 international experts. The construct validity was supported as the third-year students demonstrated significantly higher (p<0.001) clinical reasoning scores than the second-year students. The concurrent validity was also supported with significant positive correlations between global rating scores and almost all subscale scores, and the total scores. The predictive validity was supported with an existing tool. The internal consistency was high with a Cronbach's alpha of 0.92. A high inter-rater reliability was demonstrated with an intraclass correlation coefficient of 0.88. The usability of the tool was rated positively by the nurse educators but the need to ease the scoring process was highlighted. A valid and reliable tool was developed to measure the effectiveness of simulation in developing clinical reasoning skills for recognising and responding to clinical deterioration. Copyright © 2017. Published by Elsevier Ltd.
Early developments and clinical applications of total parenteral nutrition.
Dudrick, Stanley J
2003-01-01
This article recounts the conditions and status of surgical nutrition support in the 1960s and the antecedent basic and clinical investigational work leading to the development of a practical and efficacious method of adequate nourishment entirely by vein in Beagle puppies; describes the subsequent clinical application of the knowledge, techniques, and technology to the first successful long-term total parenteral nutrition (TPN) support of critically ill pediatric and adult patients; and admonishes nutritionists of all backgrounds that some need for parenteral nutrition will likely always exist and that it is incumbent upon everyone to continue endeavors to advance the germinal methodology to perfection. The relevant indications, limitations, hindrances, motivational factors, and studies regarding the development of TPN are reviewed, and the fundamental investigational work culminating in the first successful growth and development of Beagle puppies and a human infant fed entirely by vein are described firsthand. The details of the orderly and logical scientific development of the principles and components of the techniques in animals, infants, and adults are related. Knowledge, techniques, and technologic constituents of the first successful long-term TPN system were developed in the basic biochemical and animal laboratories initially in 6 puppies and subsequently adapted clinically for the efficacious long-term i.v. support of 6 critically ill surgical adult patients and a newborn infant before its widespread clinical application. Long-term TPN was inaugurated successfully as a safe and effective i.v. feeding technique nearly 4 decades ago. However, basic and clinical investigations must continue to be encouraged, supported, and carried out in the quest to perfect the current rudimentary technology, methodology, and outcomes.
A proposed clinical research support career pathway for noninvestigators.
Smith, Sheree; Gullick, Janice; Ballard, Jacqueline; Perry, Lin
2018-06-01
To discuss the international experience of clinical research support for noninvestigator roles and to propose a new pathway for Australia, to promote a sustainable research support workforce capable of delivering high-quality clinical research. Noninvestigator research support roles are currently characterized by an ad hoc approach to training, with limited role delineation and perceived professional isolation with implications for study completion rates and participant safety. A focused approach to developing and implementing research support pathways has improved patient recruitment, study completion, job satisfaction, and research governance. The Queensland and New South Wales state-based Nurses' Awards, the Australian Qualifications Framework, and a University Professional (Research) Staff Award. Research nurses in the clinical environment improve study coordination, adherence to study protocol, patient safety, and clinical care. A career pathway that guides education and outlines position descriptions and skill sets would enhance development of the research support workforce. This pathway could contribute to changing the patient outcomes through coordination and study completion of high-quality research. A wide consultative approach is required to determine a cost-effective and feasible approach to implementation and evaluation of the proposed pathway. © 2018 John Wiley & Sons Australia, Ltd.
Angus, Lynne; Watson, Jeanne Cherry; Elliott, Robert; Schneider, Kirk; Timulak, Ladislav
2015-01-01
Over the past 25 years, humanistic psychotherapy (HP) researchers have actively contributed to the development and implementation of innovative practice-informed research measures and coding systems. Qualitative and quantitative research findings, including meta-analyses, support the identification of HP approaches as evidence-based treatments for a variety of psychological conditions. Implications for future psychotherapy research, training, and practice are discussed in terms of addressing the persistent disjunction between significant HP research productivity and relatively low support for HP approaches in university-based clinical training programs, funding agencies, and government-supported clinical guidelines. Finally, specific recommendations are provided to further enhance and expand the impact of HP research for clinical training programs and the development of treatment guidelines.
Exploring Nurse Manager Support of Evidence-Based Practice: Clinical Nurse Perceptions.
Caramanica, Laura; Spiva, LeeAnna
2018-05-01
The study identifies what constitutes nurse manager (NM) support and other resources that enable clinical nurses (CNs) to engage in evidence-based practice (EBP). Clinical nurses report that NM support enables them to use EBP but what constitutes NM support is still unclear. Nurse managers, CNs, and EBP mentors received specialized education and use a team approach for EBP. Data were collected preintervention, mid-intervention, and postintervention from observations, interviews, journaling, and surveys. Results demonstrate how NMs can perform their role responsibilities and still engage CNs to develop a spirit of inquiry, seek answers to their clinical questions using EBP, and advance their clinical performance to improve patient outcomes. Four NM supportive behaviors emerged: cultivating a shared EBP vision, ensuring use of EBP, communicating the value of EBP, and providing resources for EBP. Through education and support, NMs describe supportive behaviors necessary for the successful conduction of EBP by CNs.
Gadd, C S; Baskaran, P; Lobach, D F
1998-01-01
Extensive utilization of point-of-care decision support systems will be largely dependent on the development of user interaction capabilities that make them effective clinical tools in patient care settings. This research identified critical design features of point-of-care decision support systems that are preferred by physicians, through a multi-method formative evaluation of an evolving prototype of an Internet-based clinical decision support system. Clinicians used four versions of the system--each highlighting a different functionality. Surveys and qualitative evaluation methodologies assessed clinicians' perceptions regarding system usability and usefulness. Our analyses identified features that improve perceived usability, such as telegraphic representations of guideline-related information, facile navigation, and a forgiving, flexible interface. Users also preferred features that enhance usefulness and motivate use, such as an encounter documentation tool and the availability of physician instruction and patient education materials. In addition to identifying design features that are relevant to efforts to develop clinical systems for point-of-care decision support, this study demonstrates the value of combining quantitative and qualitative methods of formative evaluation with an iterative system development strategy to implement new information technology in complex clinical settings.
Nurses' and midwives' clinical leadership development needs: a mixed methods study.
Casey, Mary; McNamara, Martin; Fealy, Gerard; Geraghty, Ruth
2011-07-01
This paper is a report of a descriptive study of nurses' and midwives' clinical leadership development needs. Nurses and midwives are expected to fulfil a leadership role at all levels, yet efforts to strategically support them are often unfocused. An analysis of clinical leadership development needs can provide the foundation for leadership initiatives to support staff. A mixed methods design was used. A questionnaire was sent to 911 nurses and midwives and 22 focus groups comprising 184 participants were conducted. Data were collected between March and June 2009 across all promotional grades of nurses and midwives in Ireland. Repeated measures anova with Greenhouse-Geisser adjustment was used for post hoc pair wise comparisons of the subscale dimensions of clinical leadership. anova with Tukey's post hoc method was used for comparison between grades on each individual subscale. Thematic analysis was undertaken on the focus group data. Results reveal that needs related to development of the profession were the highest for all grades. The staff grade expressed a higher need in relation to 'managing clinical area', 'managing the patient care' and 'skills for clinical leadership' than managers. Qualitative analysis yielded five themes; (1) clinical leadership and leaders from a nursing and midwifery perspective; (2) quality service from a nursing and midwifery perspective; (3) clinical leaders' roles and functions; (4) capital and (5) competences for clinical leaders and leadership and the context of clinical leadership. Clinical leadership concerns quality, safety and effectiveness. Nurses and midwives are ideally placed to offer the clinical leadership that is required to ensure these patient care outcomes. Development initiatives must address the leader and leadership competencies to support staff. © 2011 Blackwell Publishing Ltd.
Samal, Lipika; D'Amore, John D; Bates, David W; Wright, Adam
2017-11-01
Clinical decision support tools for risk prediction are readily available, but typically require workflow interruptions and manual data entry so are rarely used. Due to new data interoperability standards for electronic health records (EHRs), other options are available. As a clinical case study, we sought to build a scalable, web-based system that would automate calculation of kidney failure risk and display clinical decision support to users in primary care practices. We developed a single-page application, web server, database, and application programming interface to calculate and display kidney failure risk. Data were extracted from the EHR using the Consolidated Clinical Document Architecture interoperability standard for Continuity of Care Documents (CCDs). EHR users were presented with a noninterruptive alert on the patient's summary screen and a hyperlink to details and recommendations provided through a web application. Clinic schedules and CCDs were retrieved using existing application programming interfaces to the EHR, and we provided a clinical decision support hyperlink to the EHR as a service. We debugged a series of terminology and technical issues. The application was validated with data from 255 patients and subsequently deployed to 10 primary care clinics where, over the course of 1 year, 569 533 CCD documents were processed. We validated the use of interoperable documents and open-source components to develop a low-cost tool for automated clinical decision support. Since Consolidated Clinical Document Architecture-based data extraction extends to any certified EHR, this demonstrates a successful modular approach to clinical decision support. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Clinical knowledge governance: the international perspective.
Garde, Sebastian
2013-01-01
As a basis for semantic interoperability, ideally, a Clinical Knowledge Resource for a clinical concept should be defined formally and defined once in a way that all clinical professions and all countries can agree on. Clinical Knowledge Governance is required to create high-quality, reusable Clinical Knowledge Resources and achieve this aim. Traditionally, this is a time-consuming and cumbersome process, relying heavily on face-to-face meetings and being able to get sufficient input from clinicians. However, in a national or even international space, it is required to streamline the processes involved in creating Clinical Knowledge Resources. For this, a Web 2.0 tool that supports online collaboration of clinicians during their creation and publishing of Clinical Knowledge Resources has been developed. This tool is named the Clinical Knowledge Manager (CKM) and supports the development, review and publication of Clinical Knowledge Resources. Also, post-publication activities such as adding terminology bindings, translating the Clinical Knowledge Resource into another language and republishing it are supported. The acceptance of Clinical Knowledge Resources depends on their quality and being able to determine their quality, for example it is important to know that a broad umber of reviewers from various clinical disciplines have been involved in the development of the Clinical Knowledge Resource. We are still far from realizing the vision of a global repository of a great number of reusable, high-quality Clinical Knowledge Resources, which can provide the basis for broad semantic interoperability between systems. However progress towards this aim is being made around the world.
The NCI Clinical Assay Development Program (CADP) is requesting project applications from investigators seeking clinical assay validation resources. These resources are designed to assist with the development of assays that may predict therapy response or prognostic behavior of a diagnosed cancer, primarily for use in clinical trials. Approved projects for the NCI CADP will be provided access to the Institute’s assay development and validation resources, including project management support.
Sirola-Karvinen, Pirjo; Hyrkäs, Kristiina
2006-11-01
The aim of this systematic literature review was to describe administrative clinical supervision from the nursing leaders', directors' and administrators' perspective. Administrative clinical supervision is a timely and important topic as organizational structures in health care and nursing leadership are changing in addition to the increasing number of complex challenges present in health care. The material in this review was drawn from national and international databases including doctoral dissertations, distinguished thesis and peer-reviewed articles. The material was analysed by means of content analysis. The theoretical framework for the analysis was based on the three main functions of clinical supervision: administrative, educational and supportive. The findings demonstrated that the experiences of the administrative clinical supervision and its supportiveness were varying. The intervention was seen to provide versatility of learning experiences and support in challenging work experiences. Administrative clinical supervision effects and assures the quality of care. The effects as a means of development were explained through its resemblance to a leading specialist community. The findings support earlier perceptions concerning the importance and significance of administrative clinical supervision for nursing managers and administrators. However, more research is needed to develop administrative clinical supervision and to increase understanding of theoretical assumptions and relationships of the concepts on the background.
A SOA-Based Platform to Support Clinical Data Sharing.
Gazzarata, R; Giannini, B; Giacomini, M
2017-01-01
The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the "Interoperable" Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the "Interoperable" Tier, the current solution actually covers the "Connected" Tier, due to local hospital policy restrictions.
A SOA-Based Platform to Support Clinical Data Sharing
Gazzarata, R; Giannini, B; Giacomini, M
2017-01-01
The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the “Interoperable” Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the “Interoperable” Tier, the current solution actually covers the “Connected” Tier, due to local hospital policy restrictions. © 2017 R. Gazzarata et al.
A SOA-Based Platform to Support Clinical Data Sharing
Gazzarata, R.; Giannini, B.
2017-01-01
The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the “Interoperable” Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the “Interoperable” Tier, the current solution actually covers the “Connected” Tier, due to local hospital policy restrictions. PMID:29065576
Evaluating clinical ethics support in mental healthcare: a systematic literature review.
Hem, Marit Helene; Pedersen, Reidar; Norvoll, Reidun; Molewijk, Bert
2015-06-01
A systematic literature review on evaluation of clinical ethics support services in mental healthcare is presented and discussed. The focus was on (a) forms of clinical ethics support services, (b) evaluation of clinical ethics support services, (c) contexts and participants and (d) results. Five studies were included. The ethics support activities described were moral case deliberations and ethics rounds. Different qualitative and quantitative research methods were utilized. The results show that (a) participants felt that they gained an increased insight into moral issues through systematic reflection; (b) there was improved cooperation among multidisciplinary team members; (c) it was uncertain whether clinical ethics support services led to better patient care; (d) the issue of patient and client participation is complex; and (e) the implementation process is challenging. Clinical ethics support services have mainly been studied through the experiences of the participating facilitators and healthcare professionals. Hence, there is limited knowledge of whether and how various types of clinical ethics support services influence the quality of care and how patients and relatives may evaluate clinical ethics support services. Based on the six excluded 'grey zone articles', in which there was an implicit focus on ethics reflection, other ways of working with ethical reflection in practice are discussed. Implementing and evaluating clinical ethics support services as approaches to clinical ethics support that are more integrated into the development of good practice are in focus. In order to meet some of the shortcomings of the field of clinical ethics support services, a research project that aims to strengthen ethics support in the mental health services, including patients' and caregivers' views on ethical challenges, is presented. © The Author(s) 2014.
Miller, Randolph A.; Waitman, Lemuel R.; Chen, Sutin; Rosenbloom, S. Trent
2006-01-01
The authors describe a pragmatic approach to the introduction of clinical decision support at the point of care, based on a decade of experience in developing and evolving Vanderbilt’s inpatient “WizOrder” care provider order entry (CPOE) system. The inpatient care setting provides a unique opportunity to interject CPOE-based decision support features that restructure clinical workflows, deliver focused relevant educational materials, and influence how care is delivered to patients. From their empirical observations, the authors have developed a generic model for decision support within inpatient CPOE systems. They believe that the model’s utility extends beyond Vanderbilt, because it is based on characteristics of end-user workflows and on decision support considerations that are common to a variety of inpatient settings and CPOE systems. The specific approach to implementing a given clinical decision support feature within a CPOE system should involve evaluation along three axes: what type of intervention to create (for which the authors describe 4 general categories); when to introduce the intervention into the user’s workflow (for which the authors present 7 categories), and how disruptive, during use of the system, the intervention might be to end-users’ workflows (for which the authors describe 6 categories). Framing decision support in this manner may help both developers and clinical end-users plan future alterations to their systems when needs for new decision support features arise. PMID:16290243
2009-01-01
Background Many hospital departments have implemented small clinical departmental systems (CDSs) to collect and use patient data for documentation as well as for other department-specific purposes. As hospitals are implementing institution-wide electronic patient records (EPRs), the EPR is thought to be integrated with, and gradually substitute the smaller systems. Many EPR systems however fail to support important clinical workflows. Also, successful integration of systems has proven hard to achieve. As a result, CDSs are still in widespread use. This study was conducted to see which tasks are supported by CDSs and to compare this to the support offered by the EPR. Methods Semi-structured interviews with users of 16 clinicians using 15 different clinical departmental systems (CDS) at a Medium-sized University hospital in Norway. Inductive analysis of transcriptions from the audio taped interviews. Results The roles of CDSs were complementary to those of the hospital-wide EPR system. The use of structured patient data was a characteristic feature. This facilitated quality development and supervision, tasks that were poorly supported by the EPR system. The structuring of the data also improved filtering of information to better support clinical decision-making. Because of the high value of the structured patient data, the users put much effort in maintaining their integrity and representativeness. Employees from the departments were also engaged in the funding, development, implementation and maintenance of the systems. Conclusion Clinical departmental systems are vital to the activities of a clinical hospital department. The development, implementation and clinical use of such systems can be seen as bottom-up, user-driven innovations. PMID:19523198
Williams, Lauren Therese; Grealish, Laurie; Jamieson, Maggie
2015-01-01
Background Clinicians need to be supported by universities to use credible and defensible assessment practices during student placements. Web-based delivery of clinical education in student assessment offers professional development regardless of the geographical location of placement sites. Objective This paper explores the potential for a video-based constructivist Web-based program to support site supervisors in their assessments of student dietitians during clinical placements. Methods This project was undertaken as design-based research in two stages. Stage 1 describes the research consultation, development of the prototype, and formative feedback. In Stage 2, the program was pilot-tested and evaluated by a purposeful sample of nine clinical supervisors. Data generated as a result of user participation during the pilot test is reported. Users’ experiences with the program were also explored via interviews (six in a focus group and three individually). The interviews were transcribed verbatim and thematic analysis conducted from a pedagogical perspective using van Manen’s highlighting approach. Results This research succeeded in developing a Web-based program, “Feed our Future”, that increased supervisors’ confidence with their competency-based assessments of students on clinical placements. Three pedagogical themes emerged: constructivist design supports transformative Web-based learning; videos make abstract concepts tangible; and accessibility, usability, and pedagogy are interdependent. Conclusions Web-based programs, such as Feed our Future, offer a viable means for universities to support clinical supervisors in their assessment practices during clinical placements. A design-based research approach offers a practical process for such Web-based tool development, highlighting pedagogical barriers for planning purposes. PMID:25803172
Dickerson, Roland N.; Martinez, Eva M.; Fraile, M. Carmen; Giménez, Josefina; Calvo, M. Victoria
2015-01-01
A clinical nutrition support pharmacist training program, in collaboration with the Spanish Foundation of Hospital Pharmacy, Spanish Society of Clinical Nutrition, Abbott Nutrition International, University of Tennessee, College of Pharmacy and Regional One Health, is described. Nutrition support pharmacists from Spain were selected to participate in a one-month training program with an experienced board-certified nutrition support pharmacist faculty member within an interdisciplinary nutrition support team environment in the U.S. Participants were expected to actively engage in an advanced clinical practice role with supervision. Clinical activities included daily intensive patient monitoring, physical assessment, critical evaluation of the patient and development of an appropriate treatment plan for patients receiving either enteral or parenteral nutrition therapy. Upon successful completion of the training program, participants were anticipated to incorporate these techniques into their current practice in Spain and to train other pharmacists to function in an advanced clinical role independently or within an interdisciplinary nutrition support team environment. PMID:28975899
Sittig, Dean F; Ash, Joan S; Feblowitz, Joshua; Meltzer, Seth; McMullen, Carmit; Guappone, Ken; Carpenter, Jim; Richardson, Joshua; Simonaitis, Linas; Evans, R Scott; Nichol, W Paul; Middleton, Blackford
2011-01-01
Background Clinical decision support (CDS) is a valuable tool for improving healthcare quality and lowering costs. However, there is no comprehensive taxonomy of types of CDS and there has been limited research on the availability of various CDS tools across current electronic health record (EHR) systems. Objective To develop and validate a taxonomy of front-end CDS tools and to assess support for these tools in major commercial and internally developed EHRs. Study design and methods We used a modified Delphi approach with a panel of 11 decision support experts to develop a taxonomy of 53 front-end CDS tools. Based on this taxonomy, a survey on CDS tools was sent to a purposive sample of commercial EHR vendors (n=9) and leading healthcare institutions with internally developed state-of-the-art EHRs (n=4). Results Responses were received from all healthcare institutions and 7 of 9 EHR vendors (response rate: 85%). All 53 types of CDS tools identified in the taxonomy were found in at least one surveyed EHR system, but only 8 functions were present in all EHRs. Medication dosing support and order facilitators were the most commonly available classes of decision support, while expert systems (eg, diagnostic decision support, ventilator management suggestions) were the least common. Conclusion We developed and validated a comprehensive taxonomy of front-end CDS tools. A subsequent survey of commercial EHR vendors and leading healthcare institutions revealed a small core set of common CDS tools, but identified significant variability in the remainder of clinical decision support content. PMID:21415065
Clinical trials for vaccine development in registry of Korea Food and Drug Administration.
Kang, Seog-Youn
2013-01-01
Based on the action plan "Ensuring a stable supply of National Immunization Program vaccines and sovereignty of biopharmaceutical products," Korea Food and Drug Administration (KFDA) has made efforts to develop vaccines in the context of self reliance and to protect public health. Along with the recognized infrastructures for clinical trials, clinical trials for vaccines have also gradually been conducted at multinational sites as well as at local sites. KFDA will support to expand six to eleven kinds of vaccines by 2017. In accordance with integrated regulatory system, KFDA has promoted clinical trials, established national lot release procedure, and strengthened good manufacturing practices inspection and post marketing surveillance. Against this backdrop, KFDA will support the vaccine development and promote excellent public health protection.
Electronic Health Record Design and Implementation for Pharmacogenomics: a Local Perspective
Peterson, Josh F.; Bowton, Erica; Field, Julie R.; Beller, Marc; Mitchell, Jennifer; Schildcrout, Jonathan; Gregg, William; Johnson, Kevin; Jirjis, Jim N; Roden, Dan M.; Pulley, Jill M.; Denny, Josh C.
2014-01-01
Purpose The design of electronic health records (EHR) to translate genomic medicine into clinical care is crucial to successful introduction of new genomic services, yet there are few published guides to implementation. Methods The design, implemented features, and evolution of a locally developed EHR that supports a large pharmacogenomics program at a tertiary care academic medical center was tracked over a 4-year development period. Results Developers and program staff created EHR mechanisms for ordering a pharmacogenomics panel in advance of clinical need (preemptive genotyping) and in response to a specific drug indication. Genetic data from panel-based genotyping were sequestered from the EHR until drug-gene interactions (DGIs) met evidentiary standards and deemed clinically actionable. A service to translate genotype to predicted drug response phenotype populated a summary of DGIs, triggered inpatient and outpatient clinical decision support, updated laboratory records, and created gene results within online personal health records. Conclusion The design of a locally developed EHR supporting pharmacogenomics has generalizable utility. The challenge of representing genomic data in a comprehensible and clinically actionable format is discussed along with reflection on the scalability of the model to larger sets of genomic data. PMID:24009000
Research Areas - Clinical Trials
Information about NCI programs and initiatives that sponsor, conduct, develop, or support clinical trials, including NCI’s Clinical Trial Network (NCTN) and NCI Community Oncology Research Program (NCORP) initiatives.
A computerized clinical decision support system as a means of implementing depression guidelines.
Trivedi, Madhukar H; Kern, Janet K; Grannemann, Bruce D; Altshuler, Kenneth Z; Sunderajan, Prabha
2004-08-01
The authors describe the history and current use of computerized systems for implementing treatment guidelines in general medicine as well as the development, testing, and early use of a computerized decision support system for depression treatment among "real-world" clinical settings in Texas. In 1999 health care experts from Europe and the United States met to confront the well-documented challenges of implementing treatment guidelines and to identify strategies for improvement. They suggested the integration of guidelines into computer systems that is incorporated into clinical workflow. Several studies have demonstrated improvements in physicians' adherence to guidelines when such guidelines are provided in a computerized format. Although computerized decision support systems are being used in many areas of medicine and have demonstrated improved patient outcomes, their use in psychiatric illness is limited. The authors designed and developed a computerized decision support system for the treatment of major depressive disorder by using evidence-based guidelines, transferring the knowledge gained from the Texas Medication Algorithm Project (TMAP). This computerized decision support system (CompTMAP) provides support in diagnosis, treatment, follow-up, and preventive care and can be incorporated into the clinical setting. CompTMAP has gone through extensive testing to ensure accuracy and reliability. Physician surveys have indicated a positive response to CompTMAP, although the sample was insufficient for statistical testing. CompTMAP is part of a new era of comprehensive computerized decision support systems that take advantage of advances in automation and provide more complete clinical support to physicians in clinical practice.
A secure communication using cascade chaotic computing systems on clinical decision support.
Koksal, Ahmet Sertol; Er, Orhan; Evirgen, Hayrettin; Yumusak, Nejat
2016-06-01
Clinical decision support systems (C-DSS) provide supportive tools to the expert for the determination of the disease. Today, many of the support systems, which have been developed for a better and more accurate diagnosis, have reached a dynamic structure due to artificial intelligence techniques. However, in cases when important diagnosis studies should be performed in secret, a secure communication system is required. In this study, secure communication of a DSS is examined through a developed double layer chaotic communication system. The developed communication system consists of four main parts: random number generator, cascade chaotic calculation layer, PCM, and logical mixer layers. Thanks to this system, important patient data created by DSS will be conveyed to the center through a secure communication line.
XML-based scripting of multimodality image presentations in multidisciplinary clinical conferences
NASA Astrophysics Data System (ADS)
Ratib, Osman M.; Allada, Vivekanand; Dahlbom, Magdalena; Marcus, Phillip; Fine, Ian; Lapstra, Lorelle
2002-05-01
We developed a multi-modality image presentation software for display and analysis of images and related data from different imaging modalities. The software is part of a cardiac image review and presentation platform that supports integration of digital images and data from digital and analog media such as videotapes, analog x-ray films and 35 mm cine films. The software supports standard DICOM image files as well as AVI and PDF data formats. The system is integrated in a digital conferencing room that includes projections of digital and analog sources, remote videoconferencing capabilities, and an electronic whiteboard. The goal of this pilot project is to: 1) develop a new paradigm for image and data management for presentation in a clinically meaningful sequence adapted to case-specific scenarios, 2) design and implement a multi-modality review and conferencing workstation using component technology and customizable 'plug-in' architecture to support complex review and diagnostic tasks applicable to all cardiac imaging modalities and 3) develop an XML-based scripting model of image and data presentation for clinical review and decision making during routine clinical tasks and multidisciplinary clinical conferences.
New technology continues to invade healthcare. What are the strategic implications/outcomes?
Smith, Coy
2004-01-01
Healthcare technology continues to advance and be implemented in healthcare organizations. Nurse executives must strategically evaluate the effectiveness of each proposed system or device using a strategic planning process. Clinical information systems, computer-chip-based clinical monitoring devices, advanced Web-based applications with remote, wireless communication devices, clinical decision support software--all compete for capital and registered nurse salary dollars. The concept of clinical transformation is developed with new models of care delivery being supported by technology rather than driving care delivery. Senior nursing leadership's role in clinical transformation and healthcare technology implementation is developed. Proposed standards, expert group action, business and consumer groups, and legislation are reviewed as strategic drivers in the development of an electronic health record and healthcare technology. A matrix of advancing technology and strategic decision-making parameters are outlined.
Visser, Maretha J; Mundell, Jonathan P
2008-07-01
HIV-infected women need support to deal with their diagnosis as well as with the stigma attached to HIV. As part of their practical training, Master's-level psychology students negotiated with the staff of four clinics in townships in Tshwane, South Africa, to establish support groups for HIV+ women and offered to assist them in facilitating the groups. This study aimed to understand why the implementation of groups was successful in one clinic and not other clinics. The student reports on their experiences and interaction with clinic staff and clients were used as sources of data. Using qualitative data analysis, different dynamics and factors that could affect project implementation were identified in each clinic. The socio-ecological and systems theories were used to understand implementation processes and obstacles in implementation. The metaphor of building a bridge over a gorge was used to describe the different phases in and obstacles to the implementation of the intervention. Valuable lessons were learnt, resulting in the development of guiding principles for the implementation of support groups in community settings.
Morrison, James J; Hostetter, Jason; Wang, Kenneth; Siegel, Eliot L
2015-02-01
Real-time mining of large research trial datasets enables development of case-based clinical decision support tools. Several applicable research datasets exist including the National Lung Screening Trial (NLST), a dataset unparalleled in size and scope for studying population-based lung cancer screening. Using these data, a clinical decision support tool was developed which matches patient demographics and lung nodule characteristics to a cohort of similar patients. The NLST dataset was converted into Structured Query Language (SQL) tables hosted on a web server, and a web-based JavaScript application was developed which performs real-time queries. JavaScript is used for both the server-side and client-side language, allowing for rapid development of a robust client interface and server-side data layer. Real-time data mining of user-specified patient cohorts achieved a rapid return of cohort cancer statistics and lung nodule distribution information. This system demonstrates the potential of individualized real-time data mining using large high-quality clinical trial datasets to drive evidence-based clinical decision-making.
Gadd, C. S.; Baskaran, P.; Lobach, D. F.
1998-01-01
Extensive utilization of point-of-care decision support systems will be largely dependent on the development of user interaction capabilities that make them effective clinical tools in patient care settings. This research identified critical design features of point-of-care decision support systems that are preferred by physicians, through a multi-method formative evaluation of an evolving prototype of an Internet-based clinical decision support system. Clinicians used four versions of the system--each highlighting a different functionality. Surveys and qualitative evaluation methodologies assessed clinicians' perceptions regarding system usability and usefulness. Our analyses identified features that improve perceived usability, such as telegraphic representations of guideline-related information, facile navigation, and a forgiving, flexible interface. Users also preferred features that enhance usefulness and motivate use, such as an encounter documentation tool and the availability of physician instruction and patient education materials. In addition to identifying design features that are relevant to efforts to develop clinical systems for point-of-care decision support, this study demonstrates the value of combining quantitative and qualitative methods of formative evaluation with an iterative system development strategy to implement new information technology in complex clinical settings. Images Figure 1 PMID:9929188
Shimada, Yasuhiro
2016-04-01
The financial supports for investigator-initiated post-marketing clinical trial in clinical oncology are reduced after scandals related to the other fields of clinical trials in Japan. These clinical trials are the essential final steps of clinical development in newer cancer therapy, which should be conducted in the investigator-initiated clinical trial groups with well-organized infrastructure and continuous financial supports. The present problems are discussed and summarized. Future perspectives with the national viewpoints needed to be included the idea of "health technology assessment".
Decision support systems for clinical radiological practice — towards the next generation
Stivaros, S M; Gledson, A; Nenadic, G; Zeng, X-J; Keane, J; Jackson, A
2010-01-01
The huge amount of information that needs to be assimilated in order to keep pace with the continued advances in modern medical practice can form an insurmountable obstacle to the individual clinician. Within radiology, the recent development of quantitative imaging techniques, such as perfusion imaging, and the development of imaging-based biomarkers in modern therapeutic assessment has highlighted the need for computer systems to provide the radiological community with support for academic as well as clinical/translational applications. This article provides an overview of the underlying design and functionality of radiological decision support systems with examples tracing the development and evolution of such systems over the past 40 years. More importantly, we discuss the specific design, performance and usage characteristics that previous systems have highlighted as being necessary for clinical uptake and routine use. Additionally, we have identified particular failings in our current methodologies for data dissemination within the medical domain that must be overcome if the next generation of decision support systems is to be implemented successfully. PMID:20965900
Dzabeng, Francis; Enuameh, Yeetey; Adjei, George; Manu, Grace; Asante, Kwaku Poku; Owusu-Agyei, Seth
2016-09-01
The objective of this review is to synthesize evidence on the experiences of community health workers (CHWs) of mobile device-enabled clinical decision support systems (CDSSs) interventions designed to support maternal newborn and child health (MNCH) in low-and middle-income countries.Specific objectives.
How can we improve clinical research in pneumonia?
Ramirez, Julio A
2018-05-01
The primary challenges in the field of clinical research include a lack of support within existing infrastructure, insufficient number of clinical research training programs and a paucity of qualified mentors. Most medical centers offer infrastructure support for investigators working with industry sponsors or government-funded clinical trials, yet there are a significant amount of clinical studies performed in the field of pneumonia which are observational studies. For this type of research, which is frequently unfunded, support is usually lacking. In an attempt to optimize clinical research in pneumonia, at the University of Louisville, we developed a clinical research coordinating center (CRCC). The center manages clinical studies in the field of respiratory infections, with the primary focus being pneumonia. Other activities of the CRCC include the organization of an annual clinical research training course for physicians and other healthcare workers, and the facilitation of international research mentoring by a process of connecting new pneumonia investigators with established clinical investigators. To improve clinical research in pneumonia, institutions need to have the appropriate infrastructure in place to support investigators in all aspects of the clinical research process.
Tsevat, Joel; Justice, Amy C.; Mrus, Joseph M.; Levin, Forrest; Kozal, Michael J.; Mattocks, Kristin; Farber, Steven; Rogers, Michelle; Erdos, Joseph; Brandt, Cynthia; Kudel, Ian; Braithwaite, Ronald
2009-01-01
Abstract Common symptoms associated with HIV disease and its management are often underrecognized and undertreated. A clinical decision support tool for symptom management was developed within the Veterans Health Administration electronic medical record (EMR), aiming at increasing provider awareness of and response to common HIV symptoms. Its feasibility was studied in March to May 2007 by implementing it within a weekly HIV clinic, comparing a 4-week intervention period with a 4-week control period. Fifty-six patients and their providers participated in the study. Patients' perceptions of providers' awareness of their symptoms, proportion of progress notes mentioning any symptom(s) and proportion of care plans mentioning any symptom(s) were measured. The clinical decision support tool used portable electronic “tablets” to elicit symptom information at the time of check-in, filtered, and organized that information into a concise and clinically relevant EMR note available at the point of care, and facilitated clinical responses to that information. It appeared to be well accepted by patients and providers and did not substantially impact workflow. Although this pilot study was not powered to detect effectiveness, 25 (93%) patients in the intervention group reported that their providers were very aware of their symptoms versuas 27 (75%) control patients (p = 0.07). The proportion of providers' notes listing symptoms was similar in both periods; however, there was a trend toward including a greater number of symptoms in intervention period progress notes. The symptom support tool seemed to be useful in clinical HIV care. The Veterans Health Administration EMR may be an effective “laboratory” for developing and testing decision supports. PMID:19538046
Clinical Decision Support Systems (CDSS) for preventive management of COPD patients.
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
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
Padilha, J M; Sousa, P A F; Pereira, F M S
2018-03-01
To propose nursing clinical practice changes to improve the development of patient self-management. Chronic obstructive pulmonary disease is one of the main causes of chronic morbidity, loss of quality of life and high mortality rates. Control of the disease's progression, the preservation of autonomy in self-care and maintenance of quality of life are extremely challenging for patients to execute in their daily living. However, there is still little evidence to support nursing clinical practice changes to improve the development of self-management. A participatory action research study was performed in a medicine inpatient department and the outpatient unit of a Portuguese hospital. The sample comprised 52 nurses and 99 patients. For data collection, we used interviews, participant observation and content analysis. The main elements of nursing clinical practice that were identified as a focus for improvement measures were the healthcare model, the organization of healthcare and the documentation of a support decision-making process. The specific guidelines, the provision of material to support decision-making and the optimization of information sharing between professionals positively influenced the change process. This change improved the development of self-management skills related to the awareness of the need for 'change', hope, involvement, knowledge and abilities. The implemented changes have improved health-related behaviours and clinical outcomes. To support self-management development skills, an effective nursing clinical practice change is needed. This study has demonstrated the relevance of a portfolio of techniques and tools to help patients adopt healthy behaviours. The involvement and participation of nurses and patients in the conceptualization, implementation and evaluation of policy change are fundamental issues to improve the quality of nursing care and clinical outcomes. © 2017 International Council of Nurses.
Orlando, Lori A.; Buchanan, Adam H.; Hahn, Susan E.; Christianson, Carol A.; Powell, Karen P.; Skinner, Celette Sugg; Chesnut, Blair; Blach, Colette; Due, Barbara; Ginsburg, Geoffrey S.; Henrich, Vincent C.
2016-01-01
INTRODUCTION Family health history is a strong predictor of disease risk. To reduce the morbidity and mortality of many chronic diseases, risk-stratified evidence-based guidelines strongly encourage the collection and synthesis of family health history to guide selection of primary prevention strategies. However, the collection and synthesis of such information is not well integrated into clinical practice. To address barriers to collection and use of family health histories, the Genomedical Connection developed and validated MeTree, a Web-based, patient-facing family health history collection and clinical decision support tool. MeTree is designed for integration into primary care practices as part of the genomic medicine model for primary care. METHODS We describe the guiding principles, operational characteristics, algorithm development, and coding used to develop MeTree. Validation was performed through stakeholder cognitive interviewing, a genetic counseling pilot program, and clinical practice pilot programs in 2 community-based primary care clinics. RESULTS Stakeholder feedback resulted in changes to MeTree’s interface and changes to the phrasing of clinical decision support documents. The pilot studies resulted in the identification and correction of coding errors and the reformatting of clinical decision support documents. MeTree’s strengths in comparison with other tools are its seamless integration into clinical practice and its provision of action-oriented recommendations guided by providers’ needs. LIMITATIONS The tool was validated in a small cohort. CONCLUSION MeTree can be integrated into primary care practices to help providers collect and synthesize family health history information from patients with the goal of improving adherence to risk-stratified evidence-based guidelines. PMID:24044145
Wahid, Rahnuma; Holt, Renee; Hjorth, Richard; Berlanda Scorza, Francesco
2016-10-26
With the support of the Biomedical Advanced Research and Development Authority (BARDA) of the US Department of Health and Human Services, PATH has contributed to the World Health Organization's (WHO's) Global Action Plan for Influenza Vaccines (GAP) by providing technical and clinical assistance to several developing country vaccine manufacturers (DCVMs). GAP builds regionally based independent and sustainable influenza vaccine production capacity to mitigate the overall global shortage of influenza vaccines. The program also ensures adequate influenza vaccine manufacturing capacity in the event of an influenza pandemic. Since 2009, PATH has worked closely with two DCVMs in Vietnam: the Institute of Vaccines and Medical Biologicals (IVAC) and VABIOTECH. Beginning in 2013, PATH also began working with Torlak Institute in Serbia; Instituto Butantan in Brazil; Serum Institute of India Private Ltd. in India; and Changchun BCHT Biotechnology Co. (BCHT) in China. The DCVMs supported under the GAP program all had existing influenza vaccine manufacturing capability and required technical support from PATH to improve vaccine yield, process efficiency, and product formulation. PATH has provided customized technical support for the manufacturing process to each DCVM based on their respective requirements. Additionally, PATH, working with BARDA and WHO, supported several DCVMs in the clinical development of influenza vaccine candidates progressing toward national licensure or WHO prequalification. As a result of the activities outlined in this review, several companies were able to make excellent progress in developing state-of-the-art manufacturing processes and completing early phase clinical trials. Licensure trials are currently ongoing or planned for several DCVMs. Copyright © 2016 Elsevier Ltd. All rights reserved.
Clinical trials for vaccine development in registry of Korea Food and Drug Administration
2013-01-01
Based on the action plan "Ensuring a stable supply of National Immunization Program vaccines and sovereignty of biopharmaceutical products," Korea Food and Drug Administration (KFDA) has made efforts to develop vaccines in the context of self reliance and to protect public health. Along with the recognized infrastructures for clinical trials, clinical trials for vaccines have also gradually been conducted at multinational sites as well as at local sites. KFDA will support to expand six to eleven kinds of vaccines by 2017. In accordance with integrated regulatory system, KFDA has promoted clinical trials, established national lot release procedure, and strengthened good manufacturing practices inspection and post marketing surveillance. Against this backdrop, KFDA will support the vaccine development and promote excellent public health protection. PMID:23596594
Supporting self and others: from staff nurse to nurse consultant. Part 5: clinical supervision.
Fowler, John
This series of articles explores various ways of supporting staff who work in the fast-moving and ever-changing health service. In previous articles, John Fowler an experienced nursing lecturer, author and consultant examined the importance of developing a supportive working culture and the role of preceptorship and mentoring. This article examines the use of clinical supervision within nursing.
Loeffen, E A H; Mulder, R L; Kremer, L C M; Michiels, E M C; Abbink, F C H; Ball, L M; Segers, H; Mavinkurve-Groothuis, A M C; Smit, F J; Vonk, I J M; Vd Wetering, M D; Tissing, W J E
2015-07-01
Currently, very few guidelines for supportive care for children with cancer exist. In the Netherlands, nationwide guidelines are over 10 years old and mostly based on expert opinion. Consequently, there is growing support and need for clinical practice guidelines (CPGs), which ought to be developed with a well-defined methodology and include a systematic search of literature, evidence summaries, and a transparent description of the decision process for the final recommendations. Development of CPGs is time consuming; therefore, it is important to prioritize topics for which there is the greatest clinical demand. This study aims to prioritize childhood cancer supportive care topics for development of CPGs. A Delphi survey consisting of two rounds was conducted to prioritize relevant childhood cancer supportive care topics for the development of CPGs. A group of experts comprising 15 pediatric oncologists, 15 pediatric oncology nurses, and 15 general pediatricians involved in care for childhood cancer patients were invited to participate. All relevant supportive care topics in childhood cancer were rated. In both rounds, 36 panellists (82%) responded. Agreement between panellists was very good, with an intraclass correlation coefficient of 0.918 (95% confidence interval (CI) = 0.849-0.966, p < 0.001) in round 2. The ten topics with the highest score in the final round were infection, sepsis, febrile neutropenia, pain, nausea/vomiting, restrictions in daily life and activities, palliative care, procedural sedation, terminal care, and oral mucositis. We successfully used a Delphi survey to prioritize childhood cancer supportive care topics for the development of CPGs. This is a first step towards uniform and evidence-based Dutch guidelines in supportive care in childhood cancer. Even though performed nationally, we believe that this study can also be regarded as an example starting point for international development of CPGs in the field of supportive care in cancer or any other field for that matter.
Web-based health services and clinical decision support.
Jegelevicius, Darius; Marozas, Vaidotas; Lukosevicius, Arunas; Patasius, Martynas
2004-01-01
The purpose of this study was the development of a Web-based e-health service for comprehensive assistance and clinical decision support. The service structure consists of a Web server, a PHP-based Web interface linked to a clinical SQL database, Java applets for interactive manipulation and visualization of signals and a Matlab server linked with signal and data processing algorithms implemented by Matlab programs. The service ensures diagnostic signal- and image analysis-sbased clinical decision support. By using the discussed methodology, a pilot service for pathology specialists for automatic calculation of the proliferation index has been developed. Physicians use a simple Web interface for uploading the pictures under investigation to the server; subsequently a Java applet interface is used for outlining the region of interest and, after processing on the server, the requested proliferation index value is calculated. There is also an "expert corner", where experts can submit their index estimates and comments on particular images, which is especially important for system developers. These expert evaluations are used for optimization and verification of automatic analysis algorithms. Decision support trials have been conducted for ECG and ophthalmology ultrasonic investigations of intraocular tumor differentiation. Data mining algorithms have been applied and decision support trees constructed. These services are under implementation by a Web-based system too. The study has shown that the Web-based structure ensures more effective, flexible and accessible services compared with standalone programs and is very convenient for biomedical engineers and physicians, especially in the development phase.
Moqeem, Aasia; Baig, Mirza; Gholamhosseini, Hamid; Mirza, Farhaan; Lindén, Maria
2018-01-01
This research involves the design and development of a novel Android smartphone application for real-time vital signs monitoring and decision support. The proposed application integrates market available, wireless and Bluetooth connected medical devices for collecting vital signs. The medical device data collected by the app includes heart rate, oxygen saturation and electrocardiograph (ECG). The collated data is streamed/displayed on the smartphone in real-time. This application was designed by adopting six screens approach (6S) mobile development framework and focused on user-centered approach and considered clinicians-as-a-user. The clinical engagement, consultations, feedback and usability of the application in the everyday practices were considered critical from the initial phase of the design and development. Furthermore, the proposed application is capable to deliver rich clinical decision support in real-time using the integrated medical device data.
Kulkarni, Prasad S; Hurwitz, Julia L; Simões, Eric A F; Piedra, Pedro A
2018-03-01
Correlates of protection (CoPs) can play a significant role in vaccine development by assisting the selection of vaccine candidates for clinical trials, supporting clinical trial design and implementation, and simplifying tests of vaccine modifications. Because of this important role in vaccine development, it is essential that CoPs be defined by well-designed immunogenicity and efficacy studies, with attention paid to benefits and limitations. The respiratory syncytial virus (RSV) field is unique in that a great deal of information about the humoral response is available from basic research and clinical studies. Polyclonal and monoclonal antibodies have been used routinely in the clinic to protect vulnerable infants from infection, providing a wealth of information about correlations between neutralizing antibodies and disease prevention. Considerations for the establishment of future CoPs to support RSV vaccine development in different populations are therefore discussed.
METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine.
Puppala, Mamta; He, Tiancheng; Chen, Shenyi; Ogunti, Richard; Yu, Xiaohui; Li, Fuhai; Jackson, Robert; Wong, Stephen T C
2015-12-01
The aim of this paper is to propose the design and implementation of next-generation enterprise analytics platform developed at the Houston Methodist Hospital (HMH) system to meet the market and regulatory needs of the healthcare industry. For this goal, we developed an integrated clinical informatics environment, i.e., Methodist environment for translational enhancement and outcomes research (METEOR). The framework of METEOR consists of two components: the enterprise data warehouse (EDW) and a software intelligence and analytics (SIA) layer for enabling a wide range of clinical decision support systems that can be used directly by outcomes researchers and clinical investigators to facilitate data access for the purposes of hypothesis testing, cohort identification, data mining, risk prediction, and clinical research training. Data and usability analysis were performed on METEOR components as a preliminary evaluation, which successfully demonstrated that METEOR addresses significant niches in the clinical informatics area, and provides a powerful means for data integration and efficient access in supporting clinical and translational research. METEOR EDW and informatics applications improved outcomes, enabled coordinated care, and support health analytics and clinical research at HMH. The twin pressures of cost containment in the healthcare market and new federal regulations and policies have led to the prioritization of the meaningful use of electronic health records in the United States. EDW and SIA layers on top of EDW are becoming an essential strategic tool to healthcare institutions and integrated delivery networks in order to support evidence-based medicine at the enterprise level.
TERMTrial--terminology-based documentation systems for cooperative clinical trials.
Merzweiler, A; Weber, R; Garde, S; Haux, R; Knaup-Gregori, P
2005-04-01
Within cooperative groups of multi-center clinical trials a standardized documentation is a prerequisite for communication and sharing of data. Standardizing documentation systems means standardizing the underlying terminology. The management and consistent application of terminology systems is a difficult and fault-prone task, which should be supported by appropriate software tools. Today, documentation systems for clinical trials are often implemented as so-called Remote-Data-Entry-Systems (RDE-systems). Although there are many commercial systems, which support the development of RDE-systems there is none offering a comprehensive terminological support. Therefore, we developed the software system TERMTrial which consists of a component for the definition and management of terminology systems for cooperative groups of clinical trials and two components for the terminology-based automatic generation of trial databases and terminology-based interactive design of electronic case report forms (eCRFs). TERMTrial combines the advantages of remote data entry with a comprehensive terminological control.
Current status of psychology and clinical psychology in India - an appraisal.
Virudhagirinathan, Baboo Sankar; Karunanidhi, Subbiah
2014-10-01
This paper provides an overview of the social and cultural context for the emergence and development of psychology in India and also more specifically of the development of clinical psychology. It details the range of universities offering psychology programmes and the various bodies involved in supporting the development of the psychology. The paper also describes the development of clinical psychology in India and the variety of roles undertaken by clinical psychologists. Finally, it raises a number of issues facing the development of Indian psychology into the future.
An IT Architecture for Systems Medicine.
Ganzinger, Matthias; Gietzelt, Matthias; Karmen, Christian; Firnkorn, Daniel; Knaup, Petra
2015-01-01
Systems medicine aims to support treatment of complex diseases like cancer by integrating all available data for the disease. To provide such a decision support in clinical practice, a suitable IT architecture is necessary. We suggest a generic architecture comprised of the following three layers: data representation, decision support, and user interface. For the systems medicine research project "Clinically-applicable, omics-based assessment of survival, side effects, and targets in multiple myeloma" (CLIOMMICS) we developed a concrete instance of the generic architecture. We use i2b2 for representing the harmonized data. Since no deterministic model exists for multiple myeloma we use case-based reasoning for decision support. For clinical practice, visualizations of the results must be intuitive and clear. At the same time, they must communicate the uncertainty immanent in stochastic processes. Thus, we develop a specific user interface for systems medicine based on the web portal software Liferay.
A programmable rules engine to provide clinical decision support using HTML forms.
Heusinkveld, J; Geissbuhler, A; Sheshelidze, D; Miller, R
1999-01-01
The authors have developed a simple method for specifying rules to be applied to information on HTML forms. This approach allows clinical experts, who lack the programming expertise needed to write CGI scripts, to construct and maintain domain-specific knowledge and ordering capabilities within WizOrder, the order-entry and decision support system used at Vanderbilt Hospital. The clinical knowledge base maintainers use HTML editors to create forms and spreadsheet programs for rule entry. A test environment has been developed which uses Netscape to display forms; the production environment displays forms using an embedded browser.
Training clinicians in how to use patient-reported outcome measures in routine clinical practice.
Santana, Maria J; Haverman, Lotte; Absolom, Kate; Takeuchi, Elena; Feeny, David; Grootenhuis, Martha; Velikova, Galina
2015-07-01
Patient-reported outcome measures (PROs) were originally developed for comparing groups of people in clinical trials and population studies, and the results were used to support treatment recommendations or inform health policy, but there was not direct benefit for the participants providing PROs data. However, as the experience in using those measures increased, it became obvious the clinical value in using individual patient PROs profiles in daily practice to identify/monitor symptoms, evaluate treatment outcomes and support shared decision-making. A key issue limiting successful implementation is clinicians' lack of knowledge on how to effectively utilize PROs data in their clinical encounters. Using a change management theoretical framework, this paper describes the development and implementation of three programs for training clinicians to effectively use PRO data in routine practice. The training programs are in three diverse clinical areas (adult oncology, lung transplant and paediatrics), in three countries with different healthcare systems, thus providing a rare opportunity to pull out common approaches whilst recognizing specific settings. For each program, we describe the clinical and organizational setting, the program planning and development, the content of the training session with supporting material, subsequent monitoring of PROs use and evidence of adoption. The common successful components and practical steps are identified, leading to discussion and future recommendations. The results of the three training programs are described as the implementation. In the oncology program, PRO data have been developed and are currently evaluated; in the lung transplant program, PRO data are used in daily practice and the integration with electronic patient records is under development; and in the paediatric program, PRO data are fully implemented with around 7,600 consultations since the start of the implementation. Adult learning programs teaching clinicians how to use and act on PROs in clinical practice are a key steps in supporting patient engagement and participation in shared decision-making. Researchers and clinicians from different clinical areas should collaborate to share ideas, develop guidelines and promote good practice in patient-centred care.
Implementation of Consolidated HIS: Improving Quality and Efficiency of Healthcare
Choi, Jinwook; Seo, Jeong-Wook; Chung, Chun Kee; Kim, Kyung-Hwan; Kim, Ju Han; Kim, Jong Hyo; Chie, Eui Kyu; Cho, Hyun-Jai; Goo, Jin Mo; Lee, Hyuk-Joon; Wee, Won Ryang; Nam, Sang Mo; Lim, Mi-Sun; Kim, Young-Ah; Yang, Seung Hoon; Jo, Eun Mi; Hwang, Min-A; Kim, Wan Suk; Lee, Eun Hye; Choi, Su Hi
2010-01-01
Objectives Adoption of hospital information systems offers distinctive advantages in healthcare delivery. First, implementation of consolidated hospital information system in Seoul National University Hospital led to significant improvements in quality of healthcare and efficiency of hospital management. Methods The hospital information system in Seoul National University Hospital consists of component applications: clinical information systems, clinical research support systems, administrative information systems, management information systems, education support systems, and referral systems that operate to generate utmost performance when delivering healthcare services. Results Clinical information systems, which consist of such applications as electronic medical records, picture archiving and communication systems, primarily support clinical activities. Clinical research support system provides valuable resources supporting various aspects of clinical activities, ranging from management of clinical laboratory tests to establishing care-giving procedures. Conclusions Seoul National University Hospital strives to move its hospital information system to a whole new level, which enables customized healthcare service and fulfills individual requirements. The current information strategy is being formulated as an initial step of development, promoting the establishment of next-generation hospital information system. PMID:21818449
Application development environment for advanced digital workstations
NASA Astrophysics Data System (ADS)
Valentino, Daniel J.; Harreld, Michael R.; Liu, Brent J.; Brown, Matthew S.; Huang, Lu J.
1998-06-01
One remaining barrier to the clinical acceptance of electronic imaging and information systems is the difficulty in providing intuitive access to the information needed for a specific clinical task (such as reaching a diagnosis or tracking clinical progress). The purpose of this research was to create a development environment that enables the design and implementation of advanced digital imaging workstations. We used formal data and process modeling to identify the diagnostic and quantitative data that radiologists use and the tasks that they typically perform to make clinical decisions. We studied a diverse range of radiology applications, including diagnostic neuroradiology in an academic medical center, pediatric radiology in a children's hospital, screening mammography in a breast cancer center, and thoracic radiology consultation for an oncology clinic. We used object- oriented analysis to develop software toolkits that enable a programmer to rapidly implement applications that closely match clinical tasks. The toolkits support browsing patient information, integrating patient images and reports, manipulating images, and making quantitative measurements on images. Collectively, we refer to these toolkits as the UCLA Digital ViewBox toolkit (ViewBox/Tk). We used the ViewBox/Tk to rapidly prototype and develop a number of diverse medical imaging applications. Our task-based toolkit approach enabled rapid and iterative prototyping of workstations that matched clinical tasks. The toolkit functionality and performance provided a 'hands-on' feeling for manipulating images, and for accessing textual information and reports. The toolkits directly support a new concept for protocol based-reading of diagnostic studies. The design supports the implementation of network-based application services (e.g., prefetching, workflow management, and post-processing) that will facilitate the development of future clinical applications.
Bradford, Victoria A; Walkinshaw, Lina P; Steinman, Lesley; Otten, Jennifer J; Fisher, Kari; Ellings, Amy; O'Leary, Jean; Johnson, Donna B
2017-12-01
Objectives Supportive organizational breastfeeding policies can establish enabling environments for breastfeeding. In this qualitative study we identify facilitators and barriers to the development, adoption, and implementation of supportive breastfeeding policies and practices in four influential sectors for breastfeeding women: hospitals, clinics, early care and education settings, and worksites. Methods We interviewed 125 individuals representing 110 organizations in Washington State about their breastfeeding policy development and implementation process between August 2014 and February 2015. Greenhalgh's diffusion of innovations framework guided the interviews and qualitative analysis. Results Breastfeeding policy facilitators across the sectors include national and state laws and regulations, performance tracking requirements, and an increasingly supportive sociopolitical climate; barriers include limited resources and appreciation about the need for breastfeeding policies, and certain organizational characteristics such as workforce age. Despite broad support for breastfeeding, organizations differed on perceptions about the usefulness of written breastfeeding policies. Personal breastfeeding experiences of policy makers and staff affect organizational breastfeeding policies and practices. Conclusions for Practice Supportive organizational systems and environments are built through effective policy development processes; public health can support breastfeeding policy development and assure a coordinated continuum of care by leveraging federal health care policy requirements, building networks to support training and collaboration, and disseminating strategies that reflect the personal nature of breastfeeding.
Enhancing Critical Thinking Via a Clinical Scholar Approach.
Simpson, Vicki; McComb, Sara A; Kirkpatrick, Jane M
2017-11-01
Safety, quality improvement, and a systems perspective are vital for nurses to provide quality evidence-based care. Responding to the call to prepare nurses with these perspectives, one school of nursing used a clinical scholar approach, enhanced by systems engineering to more intentionally develop the ability to clinically reason and apply evidence-based practice. A two-group, repeated-measures control trial was used to determine the effects of systems engineering content and support on nursing students' clinical judgment and critical thinking skills. Findings indicated this approach had a positive effects on student's clinical judgment and clinical reasoning skills. This approach helped students view health care issues from a broader perspective and use evidence to guide solution development, enhancing the focus on evidence-based practice, and quality improvement. Intentional integration of an evidence-based, systems perspective by nursing faculty supports development of nurses who can function safely and effectively in the current health care system. [J Nurs Educ. 2017;56(11):679-682.]. Copyright 2017, SLACK Incorporated.
The use of online discussions for post-clinical conference.
Berkstresser, Kristie
2016-01-01
Nurse educators, at every level of pre-licensure nursing education, are charged with developing critical thinking skills within their students. Post-clinical conference is one teaching strategy that nurse educators can employ to help promote the development of critical thinking skills in pre-licensure nursing students. However, traditional face-to-face post-clinical conference is marred with issues and concerns, as identified in the nursing education literature. An alternative to face-to-face post-clinical conference, asynchronous online learning environment, mitigates the issues and concerns associated with traditional post-clinical conference. Adult learning theory supports the use of asynchronous online learning environment because the asynchronous online learning environment promotes student-centered teaching strategy in place of teacher-centered learning, which by its nature traditional face-to-face post-clinical conference tends to support. Copyright © 2015 Elsevier Ltd. All rights reserved.
Sharma, Deepak K; Solbrig, Harold R; Tao, Cui; Weng, Chunhua; Chute, Christopher G; Jiang, Guoqian
2017-06-05
Detailed Clinical Models (DCMs) have been regarded as the basis for retaining computable meaning when data are exchanged between heterogeneous computer systems. To better support clinical cancer data capturing and reporting, there is an emerging need to develop informatics solutions for standards-based clinical models in cancer study domains. The objective of the study is to develop and evaluate a cancer genome study metadata management system that serves as a key infrastructure in supporting clinical information modeling in cancer genome study domains. We leveraged a Semantic Web-based metadata repository enhanced with both ISO11179 metadata standard and Clinical Information Modeling Initiative (CIMI) Reference Model. We used the common data elements (CDEs) defined in The Cancer Genome Atlas (TCGA) data dictionary, and extracted the metadata of the CDEs using the NCI Cancer Data Standards Repository (caDSR) CDE dataset rendered in the Resource Description Framework (RDF). The ITEM/ITEM_GROUP pattern defined in the latest CIMI Reference Model is used to represent reusable model elements (mini-Archetypes). We produced a metadata repository with 38 clinical cancer genome study domains, comprising a rich collection of mini-Archetype pattern instances. We performed a case study of the domain "clinical pharmaceutical" in the TCGA data dictionary and demonstrated enriched data elements in the metadata repository are very useful in support of building detailed clinical models. Our informatics approach leveraging Semantic Web technologies provides an effective way to build a CIMI-compliant metadata repository that would facilitate the detailed clinical modeling to support use cases beyond TCGA in clinical cancer study domains.
Wäscher, Sebastian; Salloch, Sabine; Ritter, Peter; Vollmann, Jochen; Schildmann, Jan
2017-05-01
This article describes a process of developing, implementing and evaluating a clinical ethics support service intervention with the goal of building up a context-sensitive structure of minimal clinical-ethics in an oncology department without prior clinical ethics structure. Scholars from different disciplines have called for an improvement in the evaluation of clinical ethics support services (CESS) for different reasons over several decades. However, while a lot has been said about the concepts and methodological challenges of evaluating CESS up to the present time, relatively few empirical studies have been carried out. The aim of this article is twofold. On the one hand, it describes a process of development, modifying and evaluating a CESS intervention as part of the ETHICO research project, using the approach of qualitative-formative evaluation. On the other hand, it provides a methodological analysis which specifies the contribution of qualitative empirical methods to the (formative) evaluation of CESS. We conclude with a consideration of the strengths and limitations of qualitative evaluation research with regards to the evaluation and development of context sensitive CESS. We further discuss our own approach in contrast to rather traditional consult or committee models. © 2017 John Wiley & Sons Ltd.
Clinical Ethics Support for Healthcare Personnel: An Integrative Literature Review.
Rasoal, Dara; Skovdahl, Kirsti; Gifford, Mervyn; Kihlgren, Annica
2017-12-01
This study describes which clinical ethics approaches are available to support healthcare personnel in clinical practice in terms of their construction, functions and goals. Healthcare personnel frequently face ethically difficult situations in the course of their work and these issues cover a wide range of areas from prenatal care to end-of-life care. Although various forms of clinical ethics support have been developed, to our knowledge there is a lack of review studies describing which ethics support approaches are available, how they are constructed and their goals in supporting healthcare personnel in clinical practice. This study engages in an integrative literature review. We searched for peer-reviewed academic articles written in English between 2000 and 2016 using specific Mesh terms and manual keywords in CINAHL, MEDLINE and Psych INFO databases. In total, 54 articles worldwide described clinical ethics support approaches that include clinical ethics consultation, clinical ethics committees, moral case deliberation, ethics rounds, ethics discussion groups, and ethics reflection groups. Clinical ethics consultation and clinical ethics committees have various roles and functions in different countries. They can provide healthcare personnel with advice and recommendations regarding the best course of action. Moral case deliberation, ethics rounds, ethics discussion groups and ethics reflection groups support the idea that group reflection increases insight into ethical issues. Clinical ethics support in the form of a "bottom-up" perspective might give healthcare personnel opportunities to think and reflect more than a "top-down" perspective. A "bottom-up" approach leaves the healthcare personnel with the moral responsibility for their choice of action in clinical practice, while a "top-down" approach risks removing such moral responsibility.
Quantitative Systems Pharmacology: A Case for Disease Models.
Musante, C J; Ramanujan, S; Schmidt, B J; Ghobrial, O G; Lu, J; Heatherington, A C
2017-01-01
Quantitative systems pharmacology (QSP) has emerged as an innovative approach in model-informed drug discovery and development, supporting program decisions from exploratory research through late-stage clinical trials. In this commentary, we discuss the unique value of disease-scale "platform" QSP models that are amenable to reuse and repurposing to support diverse clinical decisions in ways distinct from other pharmacometrics strategies. © 2016 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of The American Society for Clinical Pharmacology and Therapeutics.
Clinical Data Interchange Standards Consortium (CDISC) is an international, non-profit organization that develops and supports global data standards for medical research. CDISC is working actively with EVS to develop and support controlled terminology in several areas, notably CDISC's Study Data Tabulation Model (SDTM).
Training for staff who support students.
Flynn, Eleanor; Woodward-Kron, Robyn; Hu, Wendy
2016-02-01
Front-line administrative, academic and clinical teaching staff often find themselves providing pastoral and learning support to students, but they are often not trained for this role, and this aspect of their work is under-acknowledged. Staff participating in an action research study at two medical schools identified common concerns about the personal impact of providing student support, and of the need for professional development to carry out this responsibility. This need is magnified in clinical placement settings that are remote from on-campus services. Informed by participatory action research, brief interactive workshops with multimedia training resources were developed, conducted and evaluated at eight health professional student training sites. These workshops were designed to: (1) be delivered in busy clinical placement and university settings; (2) provide a safe and inclusive environment for administrative, academic and clinical teaching staff to share experiences and learn from each other; (3) be publicly accessible; and (4) promote continued development and roll-out of staff training, adapted to each workplace (see http://www.uws.edu.au/meusupport). The workshops were positively evaluated by 97 participants, with both teaching and administrative staff welcoming the opportunity to discuss and share experiences. Staff supporting health professional students have shared, often unmet, needs for support themselves Staff supporting health professional students have shared, often unmet, needs for support themselves. Participatory action research can be a means for producing and maintaining effective training resources as well as the conditions for change in practice. In our workshops, staff particularly valued opportunities for guided discussion using videos of authentic cases to trigger reflection, and to collaboratively formulate student support guidelines, customised to each site. © 2015 John Wiley & Sons Ltd.
What can Natural Language Processing do for Clinical Decision Support?
Demner-Fushman, Dina; Chapman, Wendy W.; McDonald, Clement J.
2009-01-01
Computerized Clinical Decision Support (CDS) aims to aid decision making of health care providers and the public by providing easily accessible health-related information at the point and time it is needed. Natural Language Processing (NLP) is instrumental in using free-text information to drive CDS, representing clinical knowledge and CDS interventions in standardized formats, and leveraging clinical narrative. The early innovative NLP research of clinical narrative was followed by a period of stable research conducted at the major clinical centers and a shift of mainstream interest to biomedical NLP. This review primarily focuses on the recently renewed interest in development of fundamental NLP methods and advances in the NLP systems for CDS. The current solutions to challenges posed by distinct sublanguages, intended user groups, and support goals are discussed. PMID:19683066
Intraoperative Clinical Decision Support for Anesthesia: A Narrative Review of Available Systems.
Nair, Bala G; Gabel, Eilon; Hofer, Ira; Schwid, Howard A; Cannesson, Maxime
2017-02-01
With increasing adoption of anesthesia information management systems (AIMS), there is growing interest in utilizing AIMS data for intraoperative clinical decision support (CDS). CDS for anesthesia has the potential for improving quality of care, patient safety, billing, and compliance. Intraoperative CDS can range from passive and post hoc systems to active real-time systems that can detect ongoing clinical issues and deviations from best practice care. Real-time CDS holds the most promise because real-time alerts and guidance can drive provider behavior toward evidence-based standardized care during the ongoing case. In this review, we describe the different types of intraoperative CDS systems with specific emphasis on real-time systems. The technical considerations in developing and implementing real-time CDS are systematically covered. This includes the functional modules of a CDS system, development and execution of decision rules, and modalities to alert anesthesia providers concerning clinical issues. We also describe the regulatory aspects that affect development, implementation, and use of intraoperative CDS. Methods and measures to assess the effectiveness of intraoperative CDS are discussed. Last, we outline areas of future development of intraoperative CDS, particularly the possibility of providing predictive and prescriptive decision support.
Baumgart, Leigh A; Bass, Ellen J; Lyman, Jason A; Springs, Sherry; Voss, John; Hayden, Gregory F; Hellems, Martha A; Hoke, Tracey R; Schlag, Katharine A; Schorling, John B
2010-01-01
Participating in self-assessment activities may stimulate improvement in practice behaviors. However, it is unclear how best to support the development of self-assessment skills, particularly in the health care domain. Exploration of population-based data is one method to enable health care providers to identify deficiencies in overall practice behavior that can motivate quality improvement initiatives. At the University of Virginia, we are developing a decision support tool to integrate and present population-based patient data to health care providers related to both clinical outcomes and non-clinical measures (e.g., demographic information). By enabling users to separate their direct impact on clinical outcomes from other factors out of their control, we may enhance the self-assessment process.
Baumgart, Leigh A.; Bass, Ellen J.; Lyman, Jason A.; Springs, Sherry; Voss, John; Hayden, Gregory F.; Hellems, Martha A.; Hoke, Tracey R.; Schlag, Katharine A.; Schorling, John B.
2011-01-01
Participating in self-assessment activities may stimulate improvement in practice behaviors. However, it is unclear how best to support the development of self-assessment skills, particularly in the health care domain. Exploration of population-based data is one method to enable health care providers to identify deficiencies in overall practice behavior that can motivate quality improvement initiatives. At the University of Virginia, we are developing a decision support tool to integrate and present population-based patient data to health care providers related to both clinical outcomes and non-clinical measures (e.g., demographic information). By enabling users to separate their direct impact on clinical outcomes from other factors out of their control, we may enhance the self-assessment process. PMID:21874123
Cummings, J; Fox, N; Vellas, B; Aisen, P; Shan, G
2018-01-01
Disease-modifying therapies are urgently needed for the treatment of Alzheimer's disease (AD). The European Union/United States (EU/US) Task Force represents a broad range of stakeholders including biopharma industry personnel, academicians, and regulatory authorities. The EU/US Task Force represents a community of knowledgeable individuals who can inform views of evidence supporting disease modification and the development of disease-modifying therapies (DMTs). We queried their attitudes toward clinical trial design and biomarkers in support of DMTs. A survey of members of the EU/US Alzheimer's Disease Task Force was conducted. Ninety-three members (87%) responded. The details were analyzed to understand what clinical trial design and biomarker data support disease modification. Task Force members favored the parallel group design compared to delayed start or staggered withdrawal clinical trial designs to support disease modification. Amyloid biomarkers were regarded as providing mild support for disease modification while tau biomarkers were regarded as providing moderate support. Combinations of biomarkers, particularly combinations of tau and neurodegeneration, were regarded as providing moderate to marked support for disease modification and combinations of all three classes of biomarkers were regarded by a majority as providing marked support for disease modification. Task Force members considered that evidence derived from clinical trials and biomarkers supports clinical meaningfulness of an intervention, and when combined with a single clinical trial outcome, nearly all regarded the clinical trial design or biomarker evidence as supportive of disease modification. A minority considered biomarker evidence by itself as indicative of disease modification in prevention trials. Levels of evidence (A,B,C) were constructed based on these observations. The survey indicates the view of knowledgeable stakeholders regarding evidence derived from clinical trial design and biomarkers in support of disease modification. Results of this survey can assist in designing clinical trials of DMTs.
Kagan, Jonathan; Giang, Dao Duc; Iademarco, Michael F; Phung, Van Tt; Lau, Chuen-Yen; Quang, Nguyen Ngo
2016-01-01
Although improving health systems promises important benefits, most developing nations lack the resources to support nationally driven clinical research. Strengthened clinical research capacity can advance national health goals by supporting greater autonomy in aligning research with national priorities. From March through June 2010, we assessed six elements of clinical research capacity in Vietnam: research agenda; clinical investigators and biostatisticians; donors and sponsors; community involvement; scientific, ethical, safety, and quality oversight; and clinical research institutions. Assessments were drawn from interviews with investigators, Ministry of Health staff members, nongovernment organizations, and U.S. Mission staff members, and document review. Observations and recommendations were shared with collaborators. Reassessment in 2015 found growth in the number of clinical trials, improved regulation in human subjects protection and community engagement, and modest advances in research agenda setting. Training and investment in institutions remain challenging. A framework for assessing clinical research capacity can affirm strengths and weaknesses and guide the coordination of capacity-building efforts.
Emerging Roles for Pharmacists in Clinical Implementation of Pharmacogenomics
Owusu-Obeng, Aniwaa; Weitzel, Kristin W.; Hatton, Randy C.; Staley, Benjamin J.; Ashton, Jennifer; Cooper-Dehoff, Rhonda M.; Johnson, Julie A.
2014-01-01
Pharmacists are uniquely qualified to play essential roles in the clinical implementation of pharmacogenomics. However, specific responsibilities and resources needed for these roles have not been defined. We describe roles for pharmacists that emerged in the clinical implementation of genotype-guided clopidogrel therapy in the University of Florida Health Personalized Medicine Program, summarize preliminary program results, and discuss education, training, and resources needed to support such programs. Planning for University of Florida Health Personalized Medicine Program began in summer 2011 under leadership of a pharmacist, with clinical launch in June 2012 of a clopidogrel-CYP2C19 pilot project aimed at tailoring antiplatelet therapies for patients undergoing percutaneous coronary intervention and stent placement. More than 1000 patients were genotyped in the pilot project in year 1. Essential pharmacist roles and responsibilities that developed and/or emerged required expertise in pharmacy informatics (development of clinical decision support in the electronic medical record), medication safety, medication-use policies and processes, development of group and individual educational strategies, literature analysis, drug information, database management, patient care in targeted areas, logistical issues in genetic testing and follow-up, research and ethical issues, and clinical precepting. In the first 2 years of the program (1 year planning and 1 year postimplementation), a total of 14 different pharmacists were directly and indirectly involved, with effort levels ranging from a few hours per month, to 25–30% effort for the director and associate director, to nearly full-time for residents. Clinical pharmacists are well positioned to implement clinical pharmacogenomics programs, with expertise in pharmacokinetics, pharmacogenomics, informatics, and patient care. Education, training, and practice-based resources are needed to support these roles and to facilitate the development of financially sustainable pharmacist-led clinical pharmacogenomics practice models. PMID:25220280
Inconsistency as a diagnostic tool in a society of intelligent agents.
McShane, Marjorie; Beale, Stephen; Nirenburg, Sergei; Jarrell, Bruce; Fantry, George
2012-07-01
To use the detection of clinically relevant inconsistencies to support the reasoning capabilities of intelligent agents acting as physicians and tutors in the realm of clinical medicine. We are developing a cognitive architecture, OntoAgent, that supports the creation and deployment of intelligent agents capable of simulating human-like abilities. The agents, which have a simulated mind and, if applicable, a simulated body, are intended to operate as members of multi-agent teams featuring both artificial and human agents. The agent architecture and its underlying knowledge resources and processors are being developed in a sufficiently generic way to support a variety of applications. We show how several types of inconsistency can be detected and leveraged by intelligent agents in the setting of clinical medicine. The types of inconsistencies discussed include: test results not supporting the doctor's hypothesis; the results of a treatment trial not supporting a clinical diagnosis; and information reported by the patient not being consistent with observations. We show the opportunities afforded by detecting each inconsistency, such as rethinking a hypothesis, reevaluating evidence, and motivating or teaching a patient. Inconsistency is not always the absence of the goal of consistency; rather, it can be a valuable trigger for further exploration in the realm of clinical medicine. The OntoAgent cognitive architecture, along with its extensive suite of knowledge resources an processors, is sufficient to support sophisticated agent functioning such as detecting clinically relevant inconsistencies and using them to benefit patient-centered medical training and practice. Copyright © 2012 Elsevier B.V. All rights reserved.
Heydari, Abbas; Yaghoubinia, Fariba; Roudsari, Robab Latifnejad
2013-01-01
Background: Student-teacher relationship is a salient issue in nursing education and has long-lasting implication in professional development of nursing students. Nowadays, this relationship in clinical settings is different from the past due to changing in nursing education paradigm. The purpose of this qualitative study was to explore the experiences of students and teachers about student-teacher relationship in the context of clinical nursing education in Iran. Materials and Methods: In this qualitative study that has been carried out adopting conventional qualitative content analysis approach, six bachelor nursing students and six clinical teachers in school of Nursing and Midwifery, were selected through purposive sampling. Semi-structured interview and participant observation were used for data collection. Interviews transcribed verbatim and analyzed using conventional content analysis through the process of data reduction and condensation, coding and also generating the categories and themes. Results: Results of the study showed the existence of a type of relationship in clinical education in which supportive actions of clinical teachers were prominent. These supportive actions appeared as three major categories including educational support, emotional support and social support which emerged from data. Conclusion: The results of this study explicit the ways that support could be provided for students in their relationship with clinical teachers. It also determines the teachers’ need to know more about the influence of their supportive relationship on students’ learning and the best possible outcomes of their education in clinical settings. PMID:24554945
Heydari, Abbas; Yaghoubinia, Fariba; Roudsari, Robab Latifnejad
2013-11-01
Student-teacher relationship is a salient issue in nursing education and has long-lasting implication in professional development of nursing students. Nowadays, this relationship in clinical settings is different from the past due to changing in nursing education paradigm. The purpose of this qualitative study was to explore the experiences of students and teachers about student-teacher relationship in the context of clinical nursing education in Iran. In this qualitative study that has been carried out adopting conventional qualitative content analysis approach, six bachelor nursing students and six clinical teachers in school of Nursing and Midwifery, were selected through purposive sampling. Semi-structured interview and participant observation were used for data collection. Interviews transcribed verbatim and analyzed using conventional content analysis through the process of data reduction and condensation, coding and also generating the categories and themes. Results of the study showed the existence of a type of relationship in clinical education in which supportive actions of clinical teachers were prominent. These supportive actions appeared as three major categories including educational support, emotional support and social support which emerged from data. The results of this study explicit the ways that support could be provided for students in their relationship with clinical teachers. It also determines the teachers' need to know more about the influence of their supportive relationship on students' learning and the best possible outcomes of their education in clinical settings.
What is the role of clinical ethics support in the era of e-medicine?
Parker, M; Gray, J A
2001-04-01
The internet is becoming increasingly important in health care practice. The number of health-related web sites is rising exponentially as people seek health-related information and services to supplement traditional sources, such as their local doctor, friends, or family. The development of e-medicine poses important ethical challenges, both for health professionals and for those who provide clinical ethics support for them. This paper describes some of these challenges and explores some of the ways in which those who provide clinical ethics support might respond creatively to them. By offering ways of responding to such challenges, both electronically and face-to-face, the providers of clinical ethics support can show themselves to be an indispensable part of good quality health care provision.
Tomfohr, Lianne M.; Edwards, Kate M.; Madsen, Joshua W.; Mills, Paul J.
2015-01-01
Poor sleep and low social support have each been associated with mortality and morbidity from chronic illness and a small body of research suggests that the two interact to influence systemic inflammation, whereby good social relationships may buffer the relationship between poor sleep and increased inflammation. The current study investigated interactions between sleep and social support in the prediction of inflammation in a clinical population (prehypertensive and hypertensive individuals) at high risk for the development of cardiovascular disease. Using a standardized subjective measure of sleep quality, we found that social support moderated the association between sleep and circulating levels of both IL-6 and CRP, such that poor sleep appeared to confer a risk of increased inflammation only in those participants who also reported low social support. In women, the same relationship was observed for TNF-α. These results extend previous findings into a clinical population and also demonstrate that sleep quality and social support interact in the prediction of two previously uninvestigated clinically relevant inflammatory markers (CRP and TNF-α). High levels of perceived social support may compensate for the negative health impact of poor sleep quality and vice versa. PMID:26402487
ERIC Educational Resources Information Center
Camiah, Sada
1998-01-01
Observations of and interviews with 41 British nurse educators found that they are expected to spend more time doing clinical teaching, developing links with clinical staff, supporting the development of the clinical learning environment, and participating in educational audits. (SK)
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.
Kreofsky, Beth L H; Blegen, R Nicole; Lokken, Troy G; Kapraun, Susan M; Bushman, Matthew S; Demaerschalk, Bart M
2018-04-16
Telemedicine services in medical institutions are often developed in isolation of one another and not as part of a comprehensive telemedicine program. The Center for Connected Care is the administrative home for a broad range of telehealth services at Mayo Clinic. This article speaks of real-time video services, referenced as telemedicine throughout. This article discusses how a large healthcare system designed and built the infrastructure to support a comprehensive telemedicine practice. Based on analysis of existing services, Mayo Clinic developed a multifaceted operational plan that addressed high-priority areas and outlined clear roles and responsibilities of the Center for Connected Care and that of the clinical departments. The plan set priorities and a direction that would lead to long-term success. The plan articulated the governing and operational infrastructure necessary to support telemedicine by defining the role of the Center for Connected Care as the owner of core administrative operations and the role of the clinical departments as the owners of clinical telemedicine services. Additional opportunities were identified to develop product selection processes, implementation services, and staffing models that would be applied to ensure successful telemedicine deployment. The telemedicine team within the Center for Connected Care completed 45 business cases resulting in 54 implementations. The standardization of core products along with key operational offerings around implementation services, and the establishment of a 24/7 support model resulted in improved provider satisfaction and fewer reported technical issues. The foundation for long-term scalability and growth was developed by centralizing operations of telemedicine services, implementing sustainable processes, employing dedicated qualified personnel, and deploying robust products.
Mobile clinical decision support systems and applications: a literature and commercial review.
Martínez-Pérez, Borja; de la Torre-Díez, Isabel; López-Coronado, Miguel; Sainz-de-Abajo, Beatriz; Robles, Montserrat; García-Gómez, Juan Miguel
2014-01-01
The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users.
Fedorov, Andriy; Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R
2016-01-01
Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support these tasks in Positron Emission Tomography and Computed Tomography (PET/CT) quantitative imaging (QI) biomarker development applied to head and neck cancer (HNC) treatment response assessment, using the Digital Imaging and Communications in Medicine (DICOM(®)) international standard and free open-source software. Methods. Quantitative analysis of PET/CT imaging data collected on patients undergoing treatment for HNC was conducted. Processing steps included Standardized Uptake Value (SUV) normalization of the images, segmentation of the tumor using manual and semi-automatic approaches, automatic segmentation of the reference regions, and extraction of the volumetric segmentation-based measurements. Suitable components of the DICOM standard were identified to model the various types of data produced by the analysis. A developer toolkit of conversion routines and an Application Programming Interface (API) were contributed and applied to create a standards-based representation of the data. Results. DICOM Real World Value Mapping, Segmentation and Structured Reporting objects were utilized for standards-compliant representation of the PET/CT QI analysis results and relevant clinical data. A number of correction proposals to the standard were developed. The open-source DICOM toolkit (DCMTK) was improved to simplify the task of DICOM encoding by introducing new API abstractions. Conversion and visualization tools utilizing this toolkit were developed. The encoded objects were validated for consistency and interoperability. The resulting dataset was deposited in the QIN-HEADNECK collection of The Cancer Imaging Archive (TCIA). Supporting tools for data analysis and DICOM conversion were made available as free open-source software. Discussion. We presented a detailed investigation of the development and application of the DICOM model, as well as the supporting open-source tools and toolkits, to accommodate representation of the research data in QI biomarker development. We demonstrated that the DICOM standard can be used to represent the types of data relevant in HNC QI biomarker development, and encode their complex relationships. The resulting annotated objects are amenable to data mining applications, and are interoperable with a variety of systems that support the DICOM standard.
A programmable rules engine to provide clinical decision support using HTML forms.
Heusinkveld, J.; Geissbuhler, A.; Sheshelidze, D.; Miller, R.
1999-01-01
The authors have developed a simple method for specifying rules to be applied to information on HTML forms. This approach allows clinical experts, who lack the programming expertise needed to write CGI scripts, to construct and maintain domain-specific knowledge and ordering capabilities within WizOrder, the order-entry and decision support system used at Vanderbilt Hospital. The clinical knowledge base maintainers use HTML editors to create forms and spreadsheet programs for rule entry. A test environment has been developed which uses Netscape to display forms; the production environment displays forms using an embedded browser. Images Figure 1 PMID:10566470
Healthy Minds in Healthy Bodies: Adolescent Clinics and Middle Schools in Collaboration.
ERIC Educational Resources Information Center
Reyes, Augustina H.; Fowler, Michelle
1999-01-01
Explores the development of a collaboration between a clinic and an urban middle school in a high-poverty, language minority community in Texas. Considers the need for an adolescent clinic and issues of community support, funding, clinic objectives, and problems. (JPB)
Tuti, Timothy; Bitok, Michael; Paton, Chris; Makone, Boniface; Malla, Lucas; Muinga, Naomi; Gathara, David; English, Mike
2016-01-01
Objective To share approaches and innovations adopted to deliver a relatively inexpensive clinical data management (CDM) framework within a low-income setting that aims to deliver quality pediatric data useful for supporting research, strengthening the information culture and informing improvement efforts in local clinical practice. Materials and methods The authors implemented a CDM framework to support a Clinical Information Network (CIN) using Research Electronic Data Capture (REDCap), a noncommercial software solution designed for rapid development and deployment of electronic data capture tools. It was used for collection of standardized data from case records of multiple hospitals’ pediatric wards. R, an open-source statistical language, was used for data quality enhancement, analysis, and report generation for the hospitals. Results In the first year of CIN, the authors have developed innovative solutions to support the implementation of a secure, rapid pediatric data collection system spanning 14 hospital sites with stringent data quality checks. Data have been collated on over 37 000 admission episodes, with considerable improvement in clinical documentation of admissions observed. Using meta-programming techniques in R, coupled with branching logic, randomization, data lookup, and Application Programming Interface (API) features offered by REDCap, CDM tasks were configured and automated to ensure quality data was delivered for clinical improvement and research use. Conclusion A low-cost clinically focused but geographically dispersed quality CDM (Clinical Data Management) in a long-term, multi-site, and real world context can be achieved and sustained and challenges can be overcome through thoughtful design and implementation of open-source tools for handling data and supporting research. PMID:26063746
Tuti, Timothy; Bitok, Michael; Paton, Chris; Makone, Boniface; Malla, Lucas; Muinga, Naomi; Gathara, David; English, Mike
2016-01-01
To share approaches and innovations adopted to deliver a relatively inexpensive clinical data management (CDM) framework within a low-income setting that aims to deliver quality pediatric data useful for supporting research, strengthening the information culture and informing improvement efforts in local clinical practice. The authors implemented a CDM framework to support a Clinical Information Network (CIN) using Research Electronic Data Capture (REDCap), a noncommercial software solution designed for rapid development and deployment of electronic data capture tools. It was used for collection of standardized data from case records of multiple hospitals' pediatric wards. R, an open-source statistical language, was used for data quality enhancement, analysis, and report generation for the hospitals. In the first year of CIN, the authors have developed innovative solutions to support the implementation of a secure, rapid pediatric data collection system spanning 14 hospital sites with stringent data quality checks. Data have been collated on over 37 000 admission episodes, with considerable improvement in clinical documentation of admissions observed. Using meta-programming techniques in R, coupled with branching logic, randomization, data lookup, and Application Programming Interface (API) features offered by REDCap, CDM tasks were configured and automated to ensure quality data was delivered for clinical improvement and research use. A low-cost clinically focused but geographically dispersed quality CDM (Clinical Data Management) in a long-term, multi-site, and real world context can be achieved and sustained and challenges can be overcome through thoughtful design and implementation of open-source tools for handling data and supporting research. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Frazer, Kate; Connolly, Michael; Naughton, Corina; Kow, Veronica
2014-07-01
Facilitating and supporting clinical learning for student nurses and midwives are essential within their practice environments. Clinical placements provide unique opportunities in preparation for future roles. Understanding the experiences of first year student nurses and midwives following clinical exposures and examining the clinical facilitators and barriers can assist in maintaining and developing clinical supports. The study used a structured group feedback approach with a convenience sample of 223 first year nursing and midwifery students in one Irish university in April 2011 to ascertain feedback on the clinical aspects of their degree programme. Approximately 200 students participated in the process. Two key clinical issues were identified by students: facilitating clinical learning and learning experiences and needs. Positive learning environments, supportive staff and increased opportunities for reflection were important issues for first year students. The role of supportive mentoring staff in clinical practice is essential to enhance student learning. Students value reflection in practice and require more opportunities to engage during placements. More collaborative approaches are required to ensure evolving and adapting practice environments can accommodate student learning. Copyright © 2014 Elsevier Ltd. All rights reserved.
Community forensic psychiatry: restoring some sanity to forensic psychiatric rehabilitation.
Skipworth, J; Humberstone, V
2002-01-01
To review clinical and legal paradigms of community forensic mental health care, with specific focus on New Zealand, and to develop a clinically based set of guiding principles for service development in this area. The general principles of rehabilitating mentally disordered offenders, and assertive community care programmes were reviewed and applied to the law and policy in a New Zealand forensic mental health setting. There is a need to develop comprehensive community treatment programmes for mentally disordered offenders. The limited available research supports assertive community treatment models, with specialist forensic input. Ten clinically based principles of care provision important to forensic mental health assertive community treatment were developed. Deinstitutionalization in forensic psychiatry lags behind the rest of psychiatry, but can only occur with well-supported systems in place to assess and manage risk in the community setting. The development of community-based forensic rehabilitation services in conjunction with general mental health is indicated.
Shegog, Ross; Begley, Charles E
2017-01-01
Epilepsy is a neurological disorder involving recurrent seizures. It affects approximately 5 million people in the U.S. To optimize their quality of life people with epilepsy are encouraged to engage in self-management (S-M) behaviors. These include managing their treatment (e.g., adhering to anti-seizure medication and clinical visit schedules), managing their seizures (e.g., responding to seizure episodes), managing their safety (e.g., monitoring and avoiding environmental seizure triggers), and managing their co-morbid conditions (e.g., anxiety, depression). The clinic-based Management Information Decision Support Epilepsy Tool (MINDSET) is a decision-support system founded on theory and empirical evidence. It is designed to increase awareness by adult patients (≥18 years) and their health-care provider regarding the patient's epilepsy S-M behaviors, facilitate communication during the clinic visit to prioritize S-M goals and strategies commensurate with the patient's needs, and increase the patient's self-efficacy to achieve those goals. The purpose of this paper is to describe the application of intervention mapping (IM) to develop, implement, and formatively evaluate the clinic-based MINDSET prototype and in developing implementation and evaluation plans. Deliverables comprised a logic model of the problem (IM Step 1); matrices of program objectives (IM Step 2); a program planning document comprising scope, sequence, theory-based methods, and practical strategies (IM Step 3); a functional MINDSET program prototype (IM Step 4); plans for implementation (IM Step 5); and evaluation (IM Step 6). IM provided a logical and systematic approach to developing and evaluating clinic-based decision support toward epilepsy S-M.
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
Vaughan, Brett
2018-01-01
Clinical teaching evaluations are common in health profession education programs to ensure students are receiving a quality clinical education experience. Questionnaires students use to evaluate their clinical teachers have been developed in professions such as medicine and nursing. The development of a questionnaire that is specifically for the osteopathy on-campus, student-led clinic environment is warranted. Previous work developed the 30-item Osteopathy Clinical Teaching Questionnaire. The current study utilised Rasch analysis to investigate the construct validity of the Osteopathy Clinical Teaching Questionnaire and provide evidence for the validity argument through fit to the Rasch model. Senior osteopathy students at four institutions in Australia, New Zealand and the United Kingdom rated their clinical teachers using the Osteopathy Clinical Teaching Questionnaire. Three hundred and ninety-nine valid responses were received and the data were evaluated for fit to the Rasch model. Reliability estimations (Cronbach's alpha and McDonald's omega) were also evaluated for the final model. The initial analysis demonstrated the data did not fit the Rasch model. Accordingly, modifications to the questionnaire were made including removing items, removing person responses, and rescoring one item. The final model contained 12 items and fit to the Rasch model was adequate. Support for unidimensionality was demonstrated through both the Principal Components Analysis/t-test, and the Cronbach's alpha and McDonald's omega reliability estimates. Analysis of the questionnaire using McDonald's omega hierarchical supported a general factor (quality of clinical teaching in osteopathy). The evidence for unidimensionality and the presence of a general factor support the calculation of a total score for the questionnaire as a sufficient statistic. Further work is now required to investigate the reliability of the 12-item Osteopathy Clinical Teaching Questionnaire to provide evidence for the validity argument.
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.
A Bridging Opportunities Work-frame to develop mobile applications for clinical decision making
van Rooij, Tibor; Rix, Serena; Moore, James B; Marsh, Sharon
2015-01-01
Background: Mobile applications (apps) providing clinical decision support (CDS) may show the greatest promise when created by and for frontline clinicians. Our aim was to create a generic model enabling healthcare providers to direct the development of CDS apps. Methods: We combined Change Management with a three-tier information technology architecture to stimulate CDS app development. Results: A Bridging Opportunities Work-frame model was developed. A test case was used to successfully develop an app. Conclusion: Healthcare providers can re-use this globally applicable model to actively create and manage regional decision support applications to translate evidence-based medicine in the use of emerging medication or novel treatment regimens. PMID:28031883
2012-01-01
Background The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS) development and implementation and for knowledge management (KM) processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. Methods Guided by the Multiple Perspectives Framework, the authors conducted ethnographic field studies at two community hospitals and five ambulatory clinic organizations across the U.S. Using a Rapid Assessment Process, a multidisciplinary research team: gathered preliminary assessment data; conducted on-site interviews, observations, and field surveys; analyzed data using both template and grounded methods; and developed universal themes. A panel of experts produced recommended practices. Results The team identified ten themes related to CDS and KM. These include: 1) workflow; 2) knowledge management; 3) data as a foundation for CDS; 4) user computer interaction; 5) measurement and metrics; 6) governance; 7) translation for collaboration; 8) the meaning of CDS; 9) roles of special, essential people; and 10) communication, training, and support. Experts developed recommendations about each theme. The original Multiple Perspectives framework was modified to make explicit a new theoretical construct, that of Translational Interaction. Conclusions These ten themes represent areas that need attention if a clinic or community hospital plans to implement and successfully utilize CDS. In addition, they have implications for workforce education, research, and national-level policy development. The Translational Interaction construct could guide future applied informatics research endeavors. PMID:22333210
Zhang, Mingyuan; Velasco, Ferdinand T.; Musser, R. Clayton; Kawamoto, Kensaku
2013-01-01
Enabling clinical decision support (CDS) across multiple electronic health record (EHR) systems has been a desired but largely unattained aim of clinical informatics, especially in commercial EHR systems. A potential opportunity for enabling such scalable CDS is to leverage vendor-supported, Web-based CDS development platforms along with vendor-supported application programming interfaces (APIs). Here, we propose a potential staged approach for enabling such scalable CDS, starting with the use of custom EHR APIs and moving towards standardized EHR APIs to facilitate interoperability. We analyzed three commercial EHR systems for their capabilities to support the proposed approach, and we implemented prototypes in all three systems. Based on these analyses and prototype implementations, we conclude that the approach proposed is feasible, already supported by several major commercial EHR vendors, and potentially capable of enabling cross-platform CDS at scale. PMID:24551426
Big-Data Based Decision-Support Systems to Improve Clinicians' Cognition.
Roosan, Don; Samore, Matthew; Jones, Makoto; Livnat, Yarden; Clutter, Justin
2016-01-01
Complex clinical decision-making could be facilitated by using population health data to inform clinicians. In two previous studies, we interviewed 16 infectious disease experts to understand complex clinical reasoning. For this study, we focused on answers from the experts on how clinical reasoning can be supported by population-based Big-Data. We found cognitive strategies such as trajectory tracking, perspective taking, and metacognition has the potential to improve clinicians' cognition to deal with complex problems. These cognitive strategies could be supported by population health data, and all have important implications for the design of Big-Data based decision-support tools that could be embedded in electronic health records. Our findings provide directions for task allocation and design of decision-support applications for health care industry development of Big data based decision-support systems.
Big-Data Based Decision-Support Systems to Improve Clinicians’ Cognition
Roosan, Don; Samore, Matthew; Jones, Makoto; Livnat, Yarden; Clutter, Justin
2016-01-01
Complex clinical decision-making could be facilitated by using population health data to inform clinicians. In two previous studies, we interviewed 16 infectious disease experts to understand complex clinical reasoning. For this study, we focused on answers from the experts on how clinical reasoning can be supported by population-based Big-Data. We found cognitive strategies such as trajectory tracking, perspective taking, and metacognition has the potential to improve clinicians’ cognition to deal with complex problems. These cognitive strategies could be supported by population health data, and all have important implications for the design of Big-Data based decision-support tools that could be embedded in electronic health records. Our findings provide directions for task allocation and design of decision-support applications for health care industry development of Big data based decision-support systems. PMID:27990498
Cohen, Laura; Greer, Nancy; Berliner, Elise; Sprigle, Stephen
2013-11-01
This article, developed as background content for discussion during the Mobility Rehabilitation Engineering Research Center State of the Science Conference, reviews research surrounding wheeled mobility and seating (WMS) service delivery, discusses the challenges of improving clinical decision-making, and discusses research approaches used to study and improve health services in other practice areas that might be leveraged to develop the evidence base for WMS. Narrative literature review. An overview of existing research found general agreement across models of WMS service delivery but little high quality evidence to support the recommended approaches and few studies of the relationship between service delivery steps and individual patient outcomes. The definition of successful clinical decision-making is different for different stakeholders. Clinical decision-making should incorporate the best available evidence along with patient values, preferences, circumstances, and clinical expertise. To advance the evidence base for WMS service delivery, alternatives to randomized controlled trials should be considered and reliable and valid outcome measures developed. Technological advances offer tremendous opportunities for individuals with complex rehabilitation technology needs. However, with ongoing scrutiny of WMS service delivery there is an increased need for evidence to support the clinical decision-making process and to support evidence-based coverage policies for WMS services and technologies. An evidence base for wheeled mobility and seating services is an important component of the clinical decision-making process. At present, there is little evidence regarding essential components of the wheeled mobility and seating evaluation or the relationship between the evaluation process and patient outcomes. Many factors can confound this relationship and present challenges to research in this area. All stakeholders (i.e. clinicians, rehabilitation technology suppliers, manufacturers, researchers, payers, policy makers, and wheelchair users) need to work together to develop and support an evidence base for wheeled mobility and seating service delivery.
Enhancing Worker Health Through Clinical Decision Support (CDS): An Introduction to a Compilation.
Filios, Margaret S; Storey, Eileen; Baron, Sherry; Luensman, Genevieve B; Shiffman, Richard N
2017-11-01
This article outlines an approach to developing clinical decision support (CDS) for conditions related to work and health. When incorporated in electronic health records, such CDS will assist primary care providers (PCPs) care for working patients. Three groups of Subject Matter Experts (SMEs) identified relevant clinical practice guidelines, best practices, and reviewed published literature concerning work-related asthma, return-to-work, and management of diabetes at work. SMEs developed one recommendation per topic that could be supported by electronic CDS. Reviews with PCPs, staff, and health information system implementers in five primary care settings confirmed that the approach was important and operationally sound. This compendium is intended to stimulate a dialogue between occupational health specialists and PCPs that will enhance the use of work information about patients in the primary care setting.
Paliadelis, Penny Susan; Stupans, Leva; Parker, Vicki; Piper, Donella; Gillan, Pauline; Lea, Jackie; Jarrott, Helen Mary; Wilson, Rhonda; Hudson, Judith N; Fagan, Anthea
2015-01-01
Clinical placement learning experiences are integral to all health and medical curricula as a means of integrating theory into practice and preparing graduates to deliver safe, high-quality care to health consumers. A growing challenge for education providers is to access sufficient clinical placements with experienced supervisors who are skilled at maximising learning opportunities for students. This paper reports on the development and evaluation of an innovative online learning program aimed at enhancing student and clinical supervisors' preparedness for effective workplace-based learning. The evidence-based learning program used 'story-telling' as the learning framework. The stories, which were supported by a range of resources, aimed to engage the learners in understanding student and supervisor responsibilities, as well as the expectations and competencies needed to support effective learning in the clinical environment. Evaluation of this program by the learners and stakeholders clearly indicated that they felt authentically 'connected' with the characters in the stories and developed insights that suggested effective learning had occurred.
ERIC Educational Resources Information Center
Hawamdeh, Ziad M.; Alshraideh, Mohammad A.; Al-Ajlouni, Jihad M.; Salah, Imad K.; Holm, Margo B.; Otom, Ali H.
2012-01-01
To design a medical decision support system (MDSS) that would accurately predict the rehabilitation protocols prescribed by the physicians for patients with knee osteoarthritis (OA) using only their demographic and clinical characteristics. The demographic and clinical variables for 170 patients receiving one of three treatment protocols for knee…
ERIC Educational Resources Information Center
Kunisch, Joseph Martin
2012-01-01
Background: The Emergency Severity Index (ESI) is an emergency department (ED) triage classification system based on estimated patient-specific resource utilization. Rules for a computerized clinical decision support (CDS) system based on a patient's chief complaint were developed and tested using a stochastic model for predicting ESI scores.…
Chad, David A; Bidichandani, Sanjay; Bruijn, Lucie; Capra, J Donald; Dickie, Brian; Ferguson, John; Figlewicz, Denise; Forsythe, Melissa; Kaufmann, Petra; Kirshner, Annette; Monti, William
2013-05-01
Ten groups presented their perspectives on facilitating clinical research in ALS including four federal agencies, four disease organizations, one foundation and one advocacy group. The federal agencies (National Institute of Neurological Disorders and Stroke, National Institute of Environmental Health Sciences, Office of Rare Diseases Research, Department of Defense) encourage fostering a team approach between pre-clinical and clinical research investigators, coordinating with patient groups in the early phases of clinical studies, enhancing private and public partnerships, and investigating the interplay between genetic susceptibility and environmental exposure. The disease organizations (Muscular Dystrophy Association, ALS Association, ALS Society of Canada, and the Motor Neurone Disease Association UK) support fellowship training programs to develop ALS clinician scientists, and encourage work on the epidemiology of ALS, on genetic and epigenetic mechanisms that are relevant to ALS pathogenesis, on developing ALS registries and biobanks, and building bridges of collaboration among study groups. The Foundation supports innovative projects, including stem-cell research, and Patient Advocacy is committed to supporting excellence in ALS research and patient care, and believes strongly in enhancing communication between patients and members of the research community.
Eich, H P; Ohmann, C
1999-01-01
Inadequate informatical support of multi-centre clinical trials lead to pure quality. In order to support a multi-centre clinical trial a data collection via WWW and Internet based on Java has been developed. In this study a generalization and extension of this prototype has been performed. The prototype has been applied to another clinical trial and a knowledge server based on C+t has been integrated via CORBA. The investigation and implementation of security aspects of web-based data collection is now under evaluation.
Lin, Yanhua; Staes, Catherine J; Shields, David E; Kandula, Vijay; Welch, Brandon M; Kawamoto, Kensaku
2015-01-01
When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50-70% concept coverage, indicating the need for continued expansion of the terminology.
Lin, Yanhua; Staes, Catherine J; Shields, David E; Kandula, Vijay; Welch, Brandon M; Kawamoto, Kensaku
2015-01-01
When coupled with a common information model, a common terminology for clinical decision support (CDS) and electronic clinical quality measurement (eCQM) could greatly facilitate the distributed development and sharing of CDS and eCQM knowledge resources. To enable such scalable knowledge authoring and sharing, we systematically developed an extensible and standards-based terminology for CDS and eCQM in the context of the HL7 Virtual Medical Record (vMR) information model. The development of this terminology entailed three steps: (1) systematic, physician-curated concept identification from sources such as the Health Information Technology Standards Panel (HITSP) and the SNOMED-CT CORE problem list; (2) concept de-duplication leveraging the Unified Medical Language System (UMLS) MetaMap and Metathesaurus; and (3) systematic concept naming using standard terminologies and heuristic algorithms. This process generated 3,046 concepts spanning 68 domains. Evaluation against representative CDS and eCQM resources revealed approximately 50–70% concept coverage, indicating the need for continued expansion of the terminology. PMID:26958220
4 pitfalls to clinical integration.
Redding, John
2012-11-01
Four common mistakes can easily thwart clinical integration: Assuming that EHR adoption is the cornerstone of successful integration; Delaying the development of ambulatory services that support clinical integration; Believing that knowledge of clinical integration initiatives will passively diffuse through the ranks; Attaching too much weight to Federal Trade Commission/Department of Justice approval of a clinical integration model.
SFINX-a drug-drug interaction database designed for clinical decision support systems.
Böttiger, Ylva; Laine, Kari; Andersson, Marine L; Korhonen, Tuomas; Molin, Björn; Ovesjö, Marie-Louise; Tirkkonen, Tuire; Rane, Anders; Gustafsson, Lars L; Eiermann, Birgit
2009-06-01
The aim was to develop a drug-drug interaction database (SFINX) to be integrated into decision support systems or to be used in website solutions for clinical evaluation of interactions. Key elements such as substance properties and names, drug formulations, text structures and references were defined before development of the database. Standard operating procedures for literature searches, text writing rules and a classification system for clinical relevance and documentation level were determined. ATC codes, CAS numbers and country-specific codes for substances were identified and quality assured to ensure safe integration of SFINX into other data systems. Much effort was put into giving short and practical advice regarding clinically relevant drug-drug interactions. SFINX includes over 8,000 interaction pairs and is integrated into Swedish and Finnish computerised decision support systems. Over 31,000 physicians and pharmacists are receiving interaction alerts through SFINX. User feedback is collected for continuous improvement of the content. SFINX is a potentially valuable tool delivering instant information on drug interactions during prescribing and dispensing.
Crabtree, Elizabeth A; Brennan, Emily; Davis, Amanda; Squires, Jerry E
2017-01-01
Evidence-based practice (EBP) skills are crucial for delivering high-quality patient care. It is essential that medical students learn EBP concepts through a practical, in-depth research project. To date, literature on preparing students in this manner is limited. In academic year 2014-2015, the Medical University of South Carolina's (MUSC's) Center for Evidence-Based Practice (now known as the Value Institute) partnered with College of Medicine faculty to revitalize the undergraduate medical student EBP curriculum. Without adding to the number of the lecture hours, the curriculum was restructured to be more process driven, project based, and clinically relevant. The resulting yearlong EBP course partnered small teams of medical students with interprofessional clinical teams to engage the students in developing evidence-based clinical decision support tools. The content developed during the EBP projects is currently being used to develop evidence-based clinical practice guidelines and accompanying order sets. It is likely that this model will serve as a new framework for guideline development and will greatly expand the breadth of evidence-based content currently produced and available for clinicians at the MUSC. It would be feasible to offer a similar course within the MUSC to other disciplines and colleges, or at other institutions, if there were support from administration, interest on the part of clinicians and medical faculty, and individuals with the required expertise available to develop the curriculum and facilitate the course. It is worth considering how to improve the course and evaluating opportunities to implement it within other settings.
New Zealand’s Drug Development Industry
Lockhart, Michelle Marie; Babar, Zaheer-Ud-Din; Carswell, Christopher; Garg, Sanjay
2013-01-01
The pharmaceutical industry’s profitability depends on identifying and successfully developing new drug candidates while trying to contain the increasing costs of drug development. It is actively searching for new sources of innovative compounds and for mechanisms to reduce the enormous costs of developing new drug candidates. There is an opportunity for academia to further develop as a source of drug discovery. The rising levels of industry outsourcing also provide prospects for organisations that can reduce the costs of drug development. We explored the potential returns to New Zealand (NZ) from its drug discovery expertise by assuming a drug development candidate is out-licensed without clinical data and has anticipated peak global sales of $350 million. We also estimated the revenue from NZ’s clinical research industry based on a standard per participant payment to study sites and the number of industry-sponsored clinical trials approved each year. Our analyses found that NZ’s clinical research industry has generated increasing foreign revenue and appropriate policy support could ensure that this continues to grow. In addition the probability-based revenue from the out-licensing of a drug development candidate could be important for NZ if provided with appropriate policy and financial support. PMID:24065037
[The perspective of a medical technologist].
Ohsawa, S
1998-10-01
Medical technologists must send reliable laboratory data to clinicians before consulting about the data. It is indispensable for medical technologists to acquire and maintain special technological knowledge. What technologists can do to support clinical work is derived basically from the information involved in analyzing samples. Such information could be sent along with the data to the clinical doctor and thus support clinical work. In large hospitals, such as university hospitals, in addition to the usual support for clinicians, we should attempt to develop new methods for analyzing pathological conditions in various diseases. Moreover, we could even support clinical research with our special technological knowledge and skilled application. However, in small hospitals, medical technologists may have to do work that doctors in the laboratory usually do. Curricula and textbooks must be prepared to educate technologists to assume those roles when necessary.
Pilot study of a point-of-use decision support tool for cancer clinical trials eligibility.
Breitfeld, P P; Weisburd, M; Overhage, J M; Sledge, G; Tierney, W M
1999-01-01
Many adults with cancer are not enrolled in clinical trials because caregivers do not have the time to match the patient's clinical findings with varying eligibility criteria associated with multiple trials for which the patient might be eligible. The authors developed a point-of-use portable decision support tool (DS-TRIEL) to automate this matching process. The support tool consists of a hand-held computer with a programmable relational database. A two-level hierarchic decision framework was used for the identification of eligible subjects for two open breast cancer clinical trials. The hand-held computer also provides protocol consent forms and schemas to further help the busy oncologist. This decision support tool and the decision framework on which it is based could be used for multiple trials and different cancer sites.
Pilot Study of a Point-of-use Decision Support Tool for Cancer Clinical Trials Eligibility
Breitfeld, Philip P.; Weisburd, Marina; Overhage, J. Marc; Sledge, George; Tierney, William M.
1999-01-01
Many adults with cancer are not enrolled in clinical trials because caregivers do not have the time to match the patient's clinical findings with varying eligibility criteria associated with multiple trials for which the patient might be eligible. The authors developed a point-of-use portable decision support tool (DS-TRIEL) to automate this matching process. The support tool consists of a hand-held computer with a programmable relational database. A two-level hierarchic decision framework was used for the identification of eligible subjects for two open breast cancer clinical trials. The hand-held computer also provides protocol consent forms and schemas to further help the busy oncologist. This decision support tool and the decision framework on which it is based could be used for multiple trials and different cancer sites. PMID:10579605
Folks, Russell D; Savir-Baruch, Bital; Garcia, Ernest V; Verdes, Liudmila; Taylor, Andrew T
2012-12-01
Our objective was to design and implement a clinical history database capable of linking to our database of quantitative results from (99m)Tc-mercaptoacetyltriglycine (MAG3) renal scans and export a data summary for physicians or our software decision support system. For database development, we used a commercial program. Additional software was developed in Interactive Data Language. MAG3 studies were processed using an in-house enhancement of a commercial program. The relational database has 3 parts: a list of all renal scans (the RENAL database), a set of patients with quantitative processing results (the Q2 database), and a subset of patients from Q2 containing clinical data manually transcribed from the hospital information system (the CLINICAL database). To test interobserver variability, a second physician transcriber reviewed 50 randomly selected patients in the hospital information system and tabulated 2 clinical data items: hydronephrosis and presence of a current stent. The CLINICAL database was developed in stages and contains 342 fields comprising demographic information, clinical history, and findings from up to 11 radiologic procedures. A scripted algorithm is used to reliably match records present in both Q2 and CLINICAL. An Interactive Data Language program then combines data from the 2 databases into an XML (extensible markup language) file for use by the decision support system. A text file is constructed and saved for review by physicians. RENAL contains 2,222 records, Q2 contains 456 records, and CLINICAL contains 152 records. The interobserver variability testing found a 95% match between the 2 observers for presence or absence of ureteral stent (κ = 0.52), a 75% match for hydronephrosis based on narrative summaries of hospitalizations and clinical visits (κ = 0.41), and a 92% match for hydronephrosis based on the imaging report (κ = 0.84). We have developed a relational database system to integrate the quantitative results of MAG3 image processing with clinical records obtained from the hospital information system. We also have developed a methodology for formatting clinical history for review by physicians and export to a decision support system. We identified several pitfalls, including the fact that important textual information extracted from the hospital information system by knowledgeable transcribers can show substantial interobserver variation, particularly when record retrieval is based on the narrative clinical records.
Personalized Guideline-Based Treatment Recommendations Using Natural Language Processing Techniques.
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.
Technological choices for mobile clinical applications.
Ehrler, Frederic; Issom, David; Lovis, Christian
2011-01-01
The rise of cheaper and more powerful mobile devices make them a new and attractive platform for clinical applications. The interaction paradigm and portability of the device facilitates bedside human-machine interactions. The better accessibility to information and decision-support anywhere in the hospital improves the efficiency and the safety of care processes. In this study, we attempt to find out what are the most appropriate Operating System (OS) and Software Development Kit (SDK) to support the development of clinical applications on mobile devices. The Android platform is a Linux-based, open source platform that has many advantages. Two main SDKs are available on this platform: the native Android and the Adobe Flex SDK. Both of them have interesting features, but the latter has been preferred due its portability at comparable performance and ease of development.
Kennedy, Tara J T; Regehr, Glenn; Baker, G Ross; Lingard, Lorelei
2009-02-09
To develop a conceptual framework of the influences on medical trainees' decisions regarding requests for clinical support from a supervisor. Phase 1: members of teaching teams in internal and emergency medicine were observed during regular clinical activities (216 hours) and subsequently completed brief interviews. Phase 2: 36 in depth interviews were conducted using videotaped vignettes to probe tacit influences on decisions to request support. Data collection and analysis used grounded theory methods. Three teaching hospitals in an urban setting in Canada. 124 members of teaching teams on general internal medicine wards and in the emergency department, comprising 31 attending physicians, 57 junior and senior residents, 28 medical students, and eight nurses. Purposeful sampling to saturation was conducted. Trainees' decisions about whether or not to seek clinical support were influenced by three issues: the clinical question (clinical importance, scope of practice), supervisor factors (availability, approachability), and trainee factors (skill, desire for independence, evaluation). Trainees perceived that requesting frequent/inappropriate support threatened their credibility and used rhetorical strategies to preserve credibility. These strategies included building a case for the importance of requests, saving requests for opportune moments, making a plan before requesting support, and targeting requests to specific team members. Trainees consider not only clinical implications but also professional credibility when requesting support from clinical supervisors. Exposing the complexity of this process provides the opportunity to make changes to training programmes to promote timely supervision and provides a framework for further exploration of the impact of clinical training on quality of care of patients.
Brunero, Scott; Lamont, Scott
2012-03-01
Clinical supervision (CS) has been identified within nursing as a process for improving clinical practice and reducing the emotional burden of nursing practice. Little is known about its implementation across large tertiary referral hospitals. The purpose of this study is to evaluate the implementation of clinical supervision across several different nursing specialities at a teaching hospital in Sydney, Australia. Using a model of nursing implementation science, a process was developed at the study site that facilitated the development, implementation and evaluation of the project. After a 6-month study period, the CS groups were postevaluated using a survey tool developed for the project. A total of nine CS groups were in operation over the 6-month study period. A predominant focus within the sessions was one of the collegial support and developing standards of practice. The process was able to achieve wide hospital-based support for the role of CS from the senior nurse executives to junior nurses. Whilst there was overall positive support for the CS groups, logistical and resource challenges remain, in the effective roll out of CS to large numbers of nurses. © 2011 The Authors. Scandinavian Journal of Caring Sciences © 2011 Nordic College of Caring Science.
Kabore, Inoussa; Bloem, Jeanette; Etheredge, Gina; Obiero, Walter; Wanless, Sebastian; Doykos, Patricia; Ntsekhe, Pearl; Mtshali, Nomantshali; Afrikaner, Eric; Sayed, Rauf; Bostwelelo, John; Hani, Andiswa; Moshabesha, Tiisetso; Kalaka, Agnes; Mameja, Jerry; Zwane, Nompumelelo; Shongwe, Nomvuyo; Mtshali, Phangisile; Mohr, Beryl; Smuts, Archie; Tiam, Appolinaire
2010-09-01
Antiretroviral therapy (ART) for HIV/AIDS in developing countries has been rapidly scaled up through directed public and private resources. Data on the efficacy of ART in developing countries are limited, as are operational research studies to determine the effect of selected nonmedical supportive care services on health outcomes in patients receiving ART. We report here on an investigation of the delivery of medical care combined with community-based supportive services for patients with HIV/AIDS in four resource-limited settings in sub-Saharan Africa, carried out between 2005 and 2007. The clinical and health-related quality of life (HRQOL) efficacy of ART combined with community support services was studied in a cohort of 377 HIV-infected patients followed for 18 months, in community-based clinics through patient interviews, clinical evaluations, and questionnaires. Patients exposed to community-based supportive services experienced a more rapid and greater overall increase in CD4 cell counts than unexposed patients. They also had higher levels of adherence, attributed primarily to exposure to home-based care services. In addition, patients receiving home-based care and/or food support services showed greater improvements in selected health-related QOL indicators. This report discusses the feasibility of effective ART in a large number of patients in resource-limited settings and the added value of concomitant community-based supportive care services.
Computerized Clinical Decision Support: Contributions from 2015
Bouaud, J.
2016-01-01
Summary Objective To summarize recent research and select the best papers published in 2015 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook. Method A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry (CPOE) systems. The aim was to identify a list of candidate best papers from the retrieved papers that were then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the IMIA editorial team was finally conducted to conclude in the best paper selection. Results Among the 974 retrieved papers, the entire review process resulted in the selection of four best papers. One paper reports on a CDSS routinely applied in pediatrics for more than 10 years, relying on adaptations of the Arden Syntax. Another paper assessed the acceptability and feasibility of an important CPOE evaluation tool in hospitals outside the US where it was developed. The third paper is a systematic, qualitative review, concerning usability flaws of medication-related alerting functions, providing an important evidence-based, methodological contribution in the domain of CDSS design and development in general. Lastly, the fourth paper describes a study quantifying the effect of a complex, continuous-care, guideline-based CDSS on the correctness and completeness of clinicians’ decisions. Conclusions While there are notable examples of routinely used decision support systems, this 2015 review on CDSSs and CPOE systems still shows that, despite methodological contributions, theoretical frameworks, and prototype developments, these technologies are not yet widely spread (at least with their full functionalities) in routine clinical practice. Further research, testing, evaluation, and training are still needed for these tools to be adopted in clinical practice and, ultimately, illustrate the benefits that they promise. PMID:27830247
Development of a diabetes care management curriculum in a family practice residency program.
Nuovo, Jim; Balsbaugh, Thomas; Barton, Sue; Davidson, Ellen; Fox-Garcia, Jane; Gandolfo, Angela; Levich, Bridget; Seibles, Joann
2004-01-01
Improving the quality of care for patients with chronic illness has become a high priority. Implementing training programs in disease management (DM) so the next generation of physicians can manage chronic illness more effectively is challenging. Residency training programs have no specific mandate to implement DM training. Additional barriers at the training facility include: 1) lack of a population-based perspective for service delivery; 2) weak support for self-management of illness; 3) incomplete implementation due to physician resistance or inertia; and 4) few incentives to change practices and behaviors. In order to overcome these barriers, training programs must take the initiative to implement DM training that addresses each of these issues. We report the implementation of a chronic illness management curriculum based on the Improving Chronic Illness Care (ICIC) Model. Features of this process included both patient care and learner objectives. These were: development of a multidisciplinary diabetes DM team; development of a patient registry; development of diabetes teaching clinics in the family practice center (nutrition, general management classes, and one-on-one teaching); development of a group visit model; and training the residents in the elements of the ICIC Model, ie, the community, the health system, self-management support, delivery system design, decision support, and clinical information systems. Barriers to implementing these curricular changes were: the development of a patient registry; buy-in from faculty, residents, clinic leadership, staff, and patients for the chronic care model; the ability to bill for services and maintain clinical productivity; and support from the health system key stakeholders for sustainability. Unique features of each training site will dictate differences in emphasis and structure; however, the core principles of the ICIC Model in enhancing self-management may be generalized to all sites.
Watson, Dennis P; Ray, Bradley; Robison, Lisa; Xu, Huiping; Edwards, Rhiannon; Salyers, Michelle P; Hill, James; Shue, Sarah
2017-01-01
There is a lack of evidence-based substance use disorder treatment and services targeting returning inmates. Substance Use Programming for Person-Oriented Recovery and Treatment (SUPPORT) is a community-driven, recovery-oriented approach to substance abuse care which has the potential to address this service gap. SUPPORT is modeled after Indiana's Access to Recovery program, which was closed due to lack of federal support despite positive improvements in clients' recovery outcomes. SUPPORT builds on noted limitations of Indiana's Access to Recovery program. The ultimate goal of this project is to establish SUPPORT as an effective and scalable recovery-oriented system of care. A necessary step we must take before launching a large clinical trial is pilot testing the SUPPORT intervention. The pilot will take place at Public Advocates in Community Re-Entry (PACE), nonprofit serving individuals with felony convictions who are located in Marion County, Indiana (Indianapolis). The pilot will follow a basic parallel randomized design to compare clients receiving SUPPORT with clients receiving standard services. A total of 80 clients within 3 months of prison release will be recruited to participate and randomly assigned to one of the two intervention arms. Quantitative measures will be collected at multiple time points to understand SUPPORT's impact on recovery capital and outcomes. We will also collect qualitative data from SUPPORT clients to better understand their program and post-discharge experiences. Successful completion of this pilot will prepare us to conduct a multi-site clinical trial. The ultimate goal of this future work is to develop an evidence-based and scalable approach to treating substance use disorder among persons returning to society after incarceration. ClinicalTrials.gov (Clinical Trials ID: NCT03132753 and Protocol Number: 1511731907). Registered 28 April 2017.
Further development of pharmacy student-facilitated diabetes management clinics.
Nuffer, Wesley; McCollum, Marianne; Ellis, Samuel L; Turner, Christopher J
2012-04-10
To further develop and evaluate a diabetes disease state management (DSM) program that provided direct patient care responsibilities to advanced pharmacy practice experience (APPE) students as members of healthcare teams. Nine new clinics and 3 established sites that provide self-care management education to patients with diabetes were established and maintained in rural Colorado pharmacies and supported by students in APPE training for 48 weeks per year. The 12 clinics provided 120 APPE student placements in 2010-2011. Students' perceptions of their experiences were positive. Patients who completed the student-supported diabetes self-management education program had improvements in blood glucose, blood pressure, and lipid values. Twelve diabetes DSM clinics provided direct patient care opportunities to APPE students working as part of healthcare teams while expanding healthcare resources in underserved communities in Colorado.
Faculty development activities in family medicine: in search of innovation.
Lawrence, Elizabeth A; Oyama, Oliver N
2013-01-01
To describe the Accreditation Council for Graduate Medical Education's (ACGME) faculty development requirements, explore the range of faculty development activities and support currently used by family medicine residencies to meet these requirements, and describe one innovative approach to satisfy this need. An electronic survey of faculty development activities and support offered to faculty by residency programs was sent to a random sample of 40 medical school and community based family medicine residency programs across the United States. Data were examined using t-tests, Fisher's exact tests, and Analysis of Variance. Faculty development, beyond traditional clinical CME, was strongly encouraged or required by a large proportion of the sample (73%). Only 58% of programs reported having discussed the ACGME's faculty development component areas (clinical, educational, administrative, leadership, research, and behavioral). In each component area except the "clinical" area, the absence of discussing the ACGME component areas with residency faculty was associated with fewer faculty development activities and support being offered by the program. These results, although preliminary, suggest that family medicine residency programs may value and encourage faculty development. The majority of programs use traditional activities and strategies such as CME, faculty meetings, faculty conferences and workshops; and a smaller number of programs are exploring the utility of mentoring programs, faculty discussion groups, and technology based learning systems. The challenge is to develop faculty development activities tailored to individual program and faculty needs and resources.
Zarinabad, Niloufar; Meeus, Emma M; Manias, Karen; Foster, Katharine
2018-01-01
Background Advances in magnetic resonance imaging and the introduction of clinical decision support systems has underlined the need for an analysis tool to extract and analyze relevant information from magnetic resonance imaging data to aid decision making, prevent errors, and enhance health care. Objective The aim of this study was to design and develop a modular medical image region of interest analysis tool and repository (MIROR) for automatic processing, classification, evaluation, and representation of advanced magnetic resonance imaging data. Methods The clinical decision support system was developed and evaluated for diffusion-weighted imaging of body tumors in children (cohort of 48 children, with 37 malignant and 11 benign tumors). Mevislab software and Python have been used for the development of MIROR. Regions of interests were drawn around benign and malignant body tumors on different diffusion parametric maps, and extracted information was used to discriminate the malignant tumors from benign tumors. Results Using MIROR, the various histogram parameters derived for each tumor case when compared with the information in the repository provided additional information for tumor characterization and facilitated the discrimination between benign and malignant tumors. Clinical decision support system cross-validation showed high sensitivity and specificity in discriminating between these tumor groups using histogram parameters. Conclusions MIROR, as a diagnostic tool and repository, allowed the interpretation and analysis of magnetic resonance imaging images to be more accessible and comprehensive for clinicians. It aims to increase clinicians’ skillset by introducing newer techniques and up-to-date findings to their repertoire and make information from previous cases available to aid decision making. The modular-based format of the tool allows integration of analyses that are not readily available clinically and streamlines the future developments. PMID:29720361
The experience of older patients with cancer in phase 1 clinical trials: a qualitative case series.
Kvale, Elizabeth A; Woodby, Lesa; Williams, Beverly Rosa
2010-11-01
This article explores the experiences of older patients with cancer in phase 1 clinical trials. Conducting a case series of face-to-face, in-depth, open-ended interviews and using qualitative methods of analysis, we find that the psychosocial process of social comparison is relevant for understanding older adults' phase 1 clinical trial participation. Social comparison influences decisions to enroll in a phase 1 clinical trial, shapes perceptions of supportive care needs, and encourages the utilization of hope. Additional research should develop strategies for addressing supportive care needs among this patient cohort whose use of social comparison can inhibit articulation of pain, suffering, and symptom burden as well as use of informal support systems.
Henry, Teresa R; Penn, Lara D; Conerty, Jason R; Wright, Francesca E; Gorman, Gregory; Pack, Brian W
2016-11-01
Non-clinical dose formulations (also known as pre-clinical or GLP formulations) play a key role in early drug development. These formulations are used to introduce active pharmaceutical ingredients (APIs) into test organisms for both pharmacokinetic and toxicological studies. Since these studies are ultimately used to support dose and safety ranges in human studies, it is important to understand not only the concentration and PK/PD of the active ingredient but also to generate safety data for likely process impurities and degradation products of the active ingredient. As such, many in the industry have chosen to develop and validate methods which can accurately detect and quantify the active ingredient along with impurities and degradation products. Such methods often provide trendable results which are predictive of stability, thus leading to the name; stability indicating methods. This document provides an overview of best practices for those choosing to include development and validation of such methods as part of their non-clinical drug development program. This document is intended to support teams who are either new to stability indicating method development and validation or who are less familiar with the requirements of validation due to their position within the product development life cycle.
Dusing, Stacey C; Van Drew, Catherine M; Brown, Shaaron E
2012-07-01
Infants born preterm are at high risk of developmental disabilities and benefit from early developmental intervention programs. Physical therapists with neonatal expertise are ideally suited to educate parents about ways to support their infant's development in the first months of life. However, administrative policies are needed to support the therapist in providing adequate parent education in the neonatal intensive care unit (NICU). This administrative case report describes the process used by a team of neonatal therapists to evaluate clinical practice, determine the need for change, and develop and implement a new parent education program in the NICU. Physical therapy parent education practices were evaluated in an academic medical center with a 36-bed, level-3 NICU. Physical therapists with neonatal expertise covered multiple units within the hospital each day. A series of focus groups, a small descriptive study, and staff discussion were used to evaluate parent education practices in this academic medical center. A new parent education program was developed based on data collected and literature to improve clinical care. The new parent education model was implemented over the course of several months using overlapping initiatives. Administrative support for the change was developed through collaboration, open communication, and presentation of clinical data. In addition, this hospital-based program contributed to the development of a statewide initiative to educate parents of preterm infants about the importance of supporting development in the first months of life. A collaborative and data-driven approach to evaluating parent education practices supported the development of a new parent education practice while acknowledging the need to meet staff productivity standards and provide excellent care throughout the hospital.
Van Drew, Catherine M.; Brown, Shaaron E.
2012-01-01
Background and Purpose Infants born preterm are at high risk of developmental disabilities and benefit from early developmental intervention programs. Physical therapists with neonatal expertise are ideally suited to educate parents about ways to support their infant's development in the first months of life. However, administrative policies are needed to support the therapist in providing adequate parent education in the neonatal intensive care unit (NICU). This administrative case report describes the process used by a team of neonatal therapists to evaluate clinical practice, determine the need for change, and develop and implement a new parent education program in the NICU. Case Description Physical therapy parent education practices were evaluated in an academic medical center with a 36-bed, level-3 NICU. Physical therapists with neonatal expertise covered multiple units within the hospital each day. A series of focus groups, a small descriptive study, and staff discussion were used to evaluate parent education practices in this academic medical center. A new parent education program was developed based on data collected and literature to improve clinical care. Outcomes The new parent education model was implemented over the course of several months using overlapping initiatives. Administrative support for the change was developed through collaboration, open communication, and presentation of clinical data. In addition, this hospital-based program contributed to the development of a statewide initiative to educate parents of preterm infants about the importance of supporting development in the first months of life. Discussion A collaborative and data-driven approach to evaluating parent education practices supported the development of a new parent education practice while acknowledging the need to meet staff productivity standards and provide excellent care throughout the hospital. PMID:22466024
Watson, Bernadette; Cooke, Marie; Walker, Rachel
2016-01-01
The purpose of this study was to explore commencing nursing students' experience of Facebook as an adjunct to on-campus course delivery to determine its impact as a learning strategy for improving confidence in clinical skill development. Approaches supporting nursing students in the development of clinical skills have relied on 'real-life' clinical placements and simulated on-campus clinical laboratories. However students continue to report a lack of confidence in their clinical skills for practice. Social networking sites including Facebook are being used as a learning strategy to stimulate active and collaborative learning approaches. A hermeneutic phenomenological approach was used to provide an understanding of the experience of confidence in clinical skills development for nursing students. Data were collected through in-depth interviews with commencing students about their experience as learners using Facebook and their perceptions of the impact on their clinical skill development. Ten first-year student nurses at one university in south-east Queensland, Australia. Four themes emerged from the data including: 'We're all in this together'; 'I can do this'; 'This is about my future goals and success'; and, 'Real time is not fast enough!'. These themes provide new meaningful insights demonstrating students' sense of confidence in clinical skills was increased through engagement with a dedicated Facebook page. The findings of this study have relevance to academics in the design of learning strategies for clinical courses to further support student confidence and engagement through peer collaboration and active learning processes. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.
PAT: an intelligent authoring tool for facilitating clinical trial design.
Tagaris, Anastasios; Andronikou, Vassiliki; Karanastasis, Efstathios; Chondrogiannis, Efthymios; Tsirmpas, Charalambos; Varvarigou, Theodora; Koutsouris, Dimitris
2014-01-01
Great investments are made by both private and public funds and a wealth of research findings is published, the research and development pipeline phases quite low productivity and tremendous delays. In this paper, we present a novel authoring tool which has been designed and developed for facilitating study design. Its underlying models are based on a thorough analysis of existing clinical trial protocols (CTPs) and eligibility criteria (EC) published in clinicaltrials.gov by domain experts. Moreover, its integration with intelligent decision support services and mechanisms linking the study design process with healthcare patient data as well as its direct access to literature designate it as a powerful tool offering great support to researchers during clinical trial design.
Development and implementation of sepsis alert systems
Harrison, Andrew M.; Gajic, Ognjen; Pickering, Brian W.; Herasevich, Vitaly
2016-01-01
Synopsis/Summary Development and implementation of sepsis alert systems is challenging, particularly outside the monitored intensive care unit (ICU) setting. Important barriers to wider use of sepsis alerts include evolving clinical definitions of sepsis, information overload & alert fatigue, due to suboptimal alert performance. Outside the ICU, additional barriers include differences in health care delivery models, charting behaviors, and availability of electronic data. Currently available evidence does not support routine use of sepsis alert systems in clinical practice. However, continuous improvement in both the afferent (data availability and accuracy of detection algorithms) and efferent (evidence-based decision support and smoother integration into clinical workflow) limbs of sepsis alert systems will help translate theoretical advantages into measurable patient benefit. PMID:27229639
Knowledge as a Service at the Point of Care.
Shellum, Jane L; Freimuth, Robert R; Peters, Steve G; Nishimura, Rick A; Chaudhry, Rajeev; Demuth, Steve J; Knopp, Amy L; Miksch, Timothy A; Milliner, Dawn S
2016-01-01
An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.
Knowledge as a Service at the Point of Care
Shellum, Jane L.; Freimuth, Robert R.; Peters, Steve G.; Nishimura, Rick A.; Chaudhry, Rajeev; Demuth, Steve J.; Knopp, Amy L.; Miksch, Timothy A.; Milliner, Dawn S.
2016-01-01
An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources. PMID:28269911
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
ERIC Educational Resources Information Center
Darrah, Johanna; O'Donnell, Maureen; Lam, Joyce; Story, Maureen; Wickenheiser, Diane; Xu, Kaishou; Jin, Xiaokun
2013-01-01
Clinical practice frameworks are a valuable component of clinical education, promoting informed clinical decision making based on the best available evidence and/or clinical experience. They encourage standardized intervention approaches and evaluation of practice. Based on an international project to support the development of an enhanced service…
Gray, Jackie; Eden, Gary; Williams, Maria
2007-06-01
Although smoking is a major public health problem, many clinicians do not routinely provide evidence-based health improvement advice to smokers to help them to quit. Plan, Do, Study, Act (PDSA) cycle methodology was used to design and implement a service development so that health improvement advice for smokers featured in all podiatry consultations provided by a Primary Care Trust in North East England. IT systems were developed to record the number and proportion of patients for whom smoking status was assessed, and the number and proportion of smokers who were given advice to quit and referred for specialist support. A questionnaire to staff explored their perceptions of the development on their clinics and consultations. During a 6-month period, smoking status was recorded for all 8831 (100%) patients attending podiatry clinics; 83% of smokers were given brief advice to quit; 7% of smokers were given help to access specialist stop smoking support services. Improvements were introduced within existing budgets and did not prolong clinics. It is straightforward and inexpensive to develop clinical services so that public health guidance is routinely implemented. More widespread implementation of similar service developments could lead to national improvements in public health.
Lee, Chia-Ju; Devine, Beth; Tarczy-Hornoch, Peter
2017-01-01
Pharmacogenomics holds promise as a critical component of precision medicine. Yet, the use of pharmacogenomics in routine clinical care is minimal, partly due to the lack of efficient and effective use of existing evidence. This paper describes the design, development, implementation and evaluation of a knowledge-based system that fulfills three critical features: a) providing clinically relevant evidence, b) applying an evidence-based approach, and c) using semantically computable formalism, to facilitate efficient evidence assessment to support timely decisions on adoption of pharmacogenomics in clinical care. To illustrate functionality, the system was piloted in the context of clopidogrel and warfarin pharmacogenomics. In contrast to existing pharmacogenomics knowledge bases, the developed system is the first to exploit the expressivity and reasoning power of logic-based representation formalism to enable unambiguous expression and automatic retrieval of pharmacogenomics evidence to support systematic review with meta-analysis.
Fostering Critical Thinking in Undergraduate Nursing Students
ERIC Educational Resources Information Center
LuPone, Kathleen A.
2017-01-01
Results from previous studies indicated nursing students needed to further develop critical thinking (CT) especially with respect to employing it in their clinical reasoning. Thus, the study was conducted to support development of students' CT in the areas of inference subskills that could be applied as they engaged in clinical reasoning during…
An Interactive Diagnosis Approach for Supporting Clinical Nursing Courses
ERIC Educational Resources Information Center
Wei, Chun-Wang; Lin, Yi-Chun; Lin, Yen-Ting
2016-01-01
Clinical resources in nursing schools are always insufficient for satisfying the practice requirements of each student at the same time during a formal course session. Although several studies have applied information and communication technology to develop computer-based learning tools for addressing this problem, most of these developments lack…
2013-01-01
Background The demand for health professionals continues to increase, partially due to the aging population and the high proportion of practitioners nearing retirement. The University of British Columbia (UBC) has developed a program to address this demand, by providing support for internationally trained Physiotherapists in their preparation for taking the National Physiotherapy competency examinations. The aim was to create a program comprised of the educational tools and infrastructure to support internationally educated physiotherapists (IEPs) in their preparation for entry to practice in Canada and, to improve their pass rate on the national competency examination. Methods The program was developed using a logic model and evaluated using program evaluation methodology. Program tools and resources included educational modules and curricular packages which were developed and refined based on feedback from clinical experts, IEPs and clinical physical therapy mentors. An examination bank was created and used to include test-enhanced education. Clinical mentors were recruited and trained to provide clinical and cultural support for participants. Results The IEP program has recruited 124 IEPs, with 69 now integrated into the Canadian physiotherapy workforce, and more IEPs continuing to apply to the program. International graduates who participated in the program had an improved pass rate on the national Physiotherapy Competency Examination (PCE); participation in the program resulted in them having a 28% (95% CI, 2% to 59%) greater possibility of passing the written section than their counterparts who did not take the program. In 2010, 81% of all IEP candidates who completed the UBC program passed the written component, and 82% passed the clinical component. Conclusion The program has proven to be successful and sustainable. This program model could be replicated to support the successful integration of other international health professionals into the workforce. PMID:24119470
Clinical supervisors' perspectives on delivering work integrated learning: a survey study.
Mather, Carey A; McKay, Angela; Allen, Penny
2015-04-01
Previous research has indicated a disconnect between academic nursing programmes and workplace learning environments. Nurse supervisors and clinical practitioners have reported inadequate information and training on how to support students of nursing to learn in the clinical setting. This study aimed to investigate the level of confidence that clinical supervisors have in relation to specific components of supporting student learning in the work place. Survey of clinical nurse supervisors. Simulation-based clinical reasoning workshops. Sixty participants: fifty nine registered nurses, including nurse managers and clinical nurse educators, and one allied health professional. Survey using Likert scales and free-text questions. The findings indicated that clinicians were confident in sharing their knowledge and experience with students and making them feel welcome in the work place, they were less confident about what were the significant learnings in relation to students' academic programme. Registered nurses supervising students were experienced clinicians with many role responsibilities, which were perceived as barriers to the role of clinical supervisor. Participants reported that they would like tools to assist them with developing links to the academic programme. They considered that these tools would support student learning and remediation in the work place. This study found that the abilities of supervisors to support student learning is an identified gap impacting on work integrated learning. The results indicated the need for a professional development workshop, to enable clinical supervisors to move beyond promoting a supervision model, towards a theoretical framework for assisting and guiding students to learn. Addressing this deficit will improve growth and change in student learning in the work place. Copyright © 2015 Elsevier Ltd. All rights reserved.
Design Recommendations for Pharmacogenomics Clinical Decision Support Systems
Khelifi, Maher; Tarczy-Hornoch, Peter; Devine, Emily B.; Pratt, Wanda
2017-01-01
The use of pharmacogenomics (PGx) in clinical practice still faces challenges to fully adopt genetic information in targeting drug therapy. To incorporate genetics into clinical practice, many support the use of Pharmacogenomics Clinical Decision Support Systems (PGx-CDS) for medication prescriptions. This support was fueled by new guidelines to incorporate genetics for optimizing drug dosage and reducing adverse events. In addition, the complexity of PGx led to exploring CDS outside the paradigm of the basic CDS tools embedded in commercial electronic health records. Therefore, designing the right CDS is key to unleashing the full potential of pharmacogenomics and making it a part of clinicians’ daily workflow. In this work, we 1) identify challenges and barriers of the implementation of PGx-CDS in clinical settings, 2) develop a new design approach to CDS with functional characteristics that can improve the adoption of pharmacogenomics guidelines and thus patient safety, and 3) create design guidelines and recommendations for such PGx-CDS tools. PMID:28815136
Crowley, Rebecca S; Castine, Melissa; Mitchell, Kevin; Chavan, Girish; McSherry, Tara; Feldman, Michael
2010-01-01
The authors report on the development of the Cancer Tissue Information Extraction System (caTIES)--an application that supports collaborative tissue banking and text mining by leveraging existing natural language processing methods and algorithms, grid communication and security frameworks, and query visualization methods. The system fills an important need for text-derived clinical data in translational research such as tissue-banking and clinical trials. The design of caTIES addresses three critical issues for informatics support of translational research: (1) federation of research data sources derived from clinical systems; (2) expressive graphical interfaces for concept-based text mining; and (3) regulatory and security model for supporting multi-center collaborative research. Implementation of the system at several Cancer Centers across the country is creating a potential network of caTIES repositories that could provide millions of de-identified clinical reports to users. The system provides an end-to-end application of medical natural language processing to support multi-institutional translational research programs.
IAEA support to medical physics in nuclear medicine.
Meghzifene, Ahmed; Sgouros, George
2013-05-01
Through its programmatic efforts and its publications, the International Atomic Energy Agency (IAEA) has helped define the role and responsibilities of the nuclear medicine physicist in the practice of nuclear medicine. This paper describes the initiatives that the IAEA has undertaken to support medical physics in nuclear medicine. In 1984, the IAEA provided guidance on how to ensure that the equipment used for detecting, imaging, and quantifying radioactivity is functioning properly (Technical Document [TECDOC]-137, "Quality Control of Nuclear Medicine Instruments"). An updated version of IAEA-TECDOC-137 was issued in 1991 as IAEA-TECDOC-602, and this included new chapters on scanner-computer systems and single-photon emission computed tomography systems. Nuclear medicine physics was introduced as a part of a project on radiation imaging and radioactivity measurements in the 2002-2003 IAEA biennium program in Dosimetry and Medical Radiation Physics. Ten years later, IAEA activities in this field have expanded to cover quality assurance (QA) and quality control (QC) of nuclear medicine equipment, education and clinical training, professional recognition of the role of medical physicists in nuclear medicine physics, and finally, the coordination of research and development activities in internal dosimetry. As a result of these activities, the IAEA has received numerous requests to support the development and implementation of QA or QC programs for radioactivity measurements in nuclear medicine in many Member States. During the last 5 years, support was provided to 20 Member States through the IAEA's technical cooperation programme. The IAEA has also supported education and clinical training of medical physicists. This type of support has been essential for the development and expansion of the Medical Physics profession, especially in low- and middle-income countries. The need for basic as well as specialized clinical training in medical physics was identified as a priority for healthcare providers in many countries. The IAEA's response to meet the increasing needs for training has been 2-folds. Through its regular program, a priority is given to the development of standardized syllabi and education and clinical training guides. Through its technical cooperation programme, support is given for setting up national medical physics education and clinical training programs in countries. In addition, fellowships are granted for professionals working in the field for specialized training, and workshops are organized at the national and regional level in specialized topics of nuclear medicine physics. So as to support on-the-job training, the IAEA has also setup a gamma camera laboratory in Seibersdorf, Austria. The laboratory is also equipped with QC tools and equipments, and radioisotopes are procured when training events are held. About 2-3 specialized courses are held every year for medical physicists at the IAEA gamma camera laboratory. In the area of research and development, the IAEA supports, through its coordinated research projects, new initiatives in quantitative nuclear medicine and internal dosimetry. The future of nuclear medicine is driven by advances in instrumentation, by the ever increasing availability of computing power and data storage, and by the development of new radiopharmaceuticals for molecular imaging and therapy. Future developments in nuclear medicine are partially driven by, and will influence, nuclear medicine physics and medical physics. To summarize, the IAEA has established a number of programs to support nuclear medicine physics and will continue to do so through its coordinated research activities, education and training in clinical medical physics, and through programs and meetings to promote standardization and harmonization of QA or QC procedures for imaging and treatment of patients. Copyright © 2013 Elsevier Inc. All rights reserved.
Stanhope, Steven J.; Wilken, Jason M.; Pruziner, Alison L.; Dearth, Christopher L.; Wyatt, Marilynn; Ziemke, CAPT Gregg W.; Strickland, Rachel; Milbourne, Suzanne A.; Kaufman, Kenton R.
2017-01-01
The Bridging Advanced Developments for Exceptional Rehabilitation (BADER) Consortium began in September 2011 as a cooperative agreement with the Department of Defense (DoD) Congressionally Directed Medical Research Programs Peer Reviewed Orthopaedic Research Program. A partnership was formed with DoD Military Treatment Facilities (MTFs), U.S. Department of Veterans Affairs (VA) Centers, the National Institutes of Health (NIH), academia, and industry to rapidly conduct innovative, high-impact, and sustainable clinically relevant research. The BADER Consortium has a unique research capacity-building focus that creates infrastructures and strategically connects and supports research teams to conduct multiteam research initiatives primarily led by MTF and VA investigators. BADER relies on strong partnerships with these agencies to strengthen and support orthopaedic rehabilitation research. Its focus is on the rapid forming and execution of projects focused on obtaining optimal functional outcomes for patients with limb loss and limb injuries. The Consortium is based on an NIH research capacity-building model that comprises essential research support components that are anchored by a set of BADER-funded and initiative-launching studies. Through a partnership with the DoD/VA Extremity Trauma and Amputation Center of Excellence, the BADER Consortium’s research initiative-launching program has directly supported the identification and establishment of eight BADER-funded clinical studies. BADER’s Clinical Research Core (CRC) staff, who are embedded within each of the MTFs, have supported an additional 37 non-BADER Consortium-funded projects. Additional key research support infrastructures that expedite the process for conducting multisite clinical trials include an omnibus Cooperative Research and Development Agreement and the NIH Clinical Trials Database. A 2015 Defense Health Board report highlighted the Consortium’s vital role, stating the research capabilities of the DoD Advanced Rehabilitation Centers are significantly enhanced and facilitated by the BADER Consortium. PMID:27849456
Stanhope, Steven J; Wilken, Jason M; Pruziner, Alison L; Dearth, Christopher L; Wyatt, Marilynn; Ziemke, Gregg W; Strickland, Rachel; Milbourne, Suzanne A; Kaufman, Kenton R
2016-11-01
The Bridging Advanced Developments for Exceptional Rehabilitation (BADER) Consortium began in September 2011 as a cooperative agreement with the Department of Defense (DoD) Congressionally Directed Medical Research Programs Peer Reviewed Orthopaedic Research Program. A partnership was formed with DoD Military Treatment Facilities (MTFs), U.S. Department of Veterans Affairs (VA) Centers, the National Institutes of Health (NIH), academia, and industry to rapidly conduct innovative, high-impact, and sustainable clinically relevant research. The BADER Consortium has a unique research capacity-building focus that creates infrastructures and strategically connects and supports research teams to conduct multiteam research initiatives primarily led by MTF and VA investigators.BADER relies on strong partnerships with these agencies to strengthen and support orthopaedic rehabilitation research. Its focus is on the rapid forming and execution of projects focused on obtaining optimal functional outcomes for patients with limb loss and limb injuries. The Consortium is based on an NIH research capacity-building model that comprises essential research support components that are anchored by a set of BADER-funded and initiative-launching studies. Through a partnership with the DoD/VA Extremity Trauma and Amputation Center of Excellence, the BADER Consortium's research initiative-launching program has directly supported the identification and establishment of eight BADER-funded clinical studies. BADER's Clinical Research Core (CRC) staff, who are embedded within each of the MTFs, have supported an additional 37 non-BADER Consortium-funded projects. Additional key research support infrastructures that expedite the process for conducting multisite clinical trials include an omnibus Cooperative Research and Development Agreement and the NIH Clinical Trials Database. A 2015 Defense Health Board report highlighted the Consortium's vital role, stating the research capabilities of the DoD Advanced Rehabilitation Centers are significantly enhanced and facilitated by the BADER Consortium. Reprint & Copyright © 2016 Association of Military Surgeons of the U.S.
Russom, Diana; Ahmed, Amira; Gonzalez, Nancy; Alvarnas, Joseph; DiGiusto, David
2012-01-01
Regulatory requirements for the manufacturing of cell products for clinical investigation require a significant level of record-keeping, starting early in process development and continuing through to the execution and requisite follow-up of patients on clinical trials. Central to record-keeping is the management of documentation related to patients, raw materials, processes, assays and facilities. To support these requirements, we evaluated several laboratory information management systems (LIMS), including their cost, flexibility, regulatory compliance, ongoing programming requirements and ability to integrate with laboratory equipment. After selecting a system, we performed a pilot study to develop a user-configurable LIMS for our laboratory in support of our pre-clinical and clinical cell-production activities. We report here on the design and utilization of this system to manage accrual with a healthy blood-donor protocol, as well as manufacturing operations for the production of a master cell bank and several patient-specific stem cell products. The system was used successfully to manage blood donor eligibility, recruiting, appointments, billing and serology, and to provide annual accrual reports. Quality management reporting features of the system were used to capture, report and investigate process and equipment deviations that occurred during the production of a master cell bank and patient products. Overall the system has served to support the compliance requirements of process development and phase I/II clinical trial activities for our laboratory and can be easily modified to meet the needs of similar laboratories.
Affective Biases in Humans and Animals.
Robinson, E S J; Roiser, J P
Depression is one of the most common but poorly understood psychiatric conditions. Although drug treatments and psychological therapies are effective in some patients, many do not achieve full remission and some patients receive no apparent benefit. Developing new improved treatments requires a better understanding of the aetiology of symptoms and evaluation of novel therapeutic targets in pre-clinical studies. Recent developments in our understanding of the basic cognitive processes that may contribute to the development of depression and its treatment offer new opportunities for both clinical and pre-clinical research. This chapter discusses the clinical evidence supporting a cognitive neuropsychological model of depression and antidepressant efficacy, and how this information may be usefully translated to pre-clinical investigation. Studies using neuropsychological tests in depressed patients and at risk populations have revealed basic negative emotional biases and disrupted reward and punishment processing, which may also impact on non-affective cognition. These affective biases are sensitive to antidepressant treatments with early onset effects observed, suggesting an important role in recovery. This clinical work into affective biases has also facilitated back-translation to animals and the development of assays to study affective biases in rodents. These animal studies suggest that, similar to humans, rodents in putative negative affective states exhibit negative affective biases on decision-making and memory tasks. Antidepressant treatments also induce positive biases in these rodent tasks, supporting the translational validity of this approach. Although still in the early stages of development and validation, affective biases in depression have the potential to offer new insights into the clinical condition, as well as facilitating the development of more translational approaches for pre-clinical studies.
NCI Consumers Guide to Peer Review
To define the role consumer advocate in the peer review of applications that support extramural clinical and population-based research and clinical career development and training by various grant and cooperative agreement mechanisms.
Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R.
2016-01-01
Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their deployment in the context of clinical research necessitates interoperability with the clinical systems. Comparison with the established outcomes and evaluation tasks motivate integration of the clinical and imaging data, and the use of standardized approaches to support annotation and sharing of the analysis results and semantics. We developed the methodology and tools to support these tasks in Positron Emission Tomography and Computed Tomography (PET/CT) quantitative imaging (QI) biomarker development applied to head and neck cancer (HNC) treatment response assessment, using the Digital Imaging and Communications in Medicine (DICOM®) international standard and free open-source software. Methods. Quantitative analysis of PET/CT imaging data collected on patients undergoing treatment for HNC was conducted. Processing steps included Standardized Uptake Value (SUV) normalization of the images, segmentation of the tumor using manual and semi-automatic approaches, automatic segmentation of the reference regions, and extraction of the volumetric segmentation-based measurements. Suitable components of the DICOM standard were identified to model the various types of data produced by the analysis. A developer toolkit of conversion routines and an Application Programming Interface (API) were contributed and applied to create a standards-based representation of the data. Results. DICOM Real World Value Mapping, Segmentation and Structured Reporting objects were utilized for standards-compliant representation of the PET/CT QI analysis results and relevant clinical data. A number of correction proposals to the standard were developed. The open-source DICOM toolkit (DCMTK) was improved to simplify the task of DICOM encoding by introducing new API abstractions. Conversion and visualization tools utilizing this toolkit were developed. The encoded objects were validated for consistency and interoperability. The resulting dataset was deposited in the QIN-HEADNECK collection of The Cancer Imaging Archive (TCIA). Supporting tools for data analysis and DICOM conversion were made available as free open-source software. Discussion. We presented a detailed investigation of the development and application of the DICOM model, as well as the supporting open-source tools and toolkits, to accommodate representation of the research data in QI biomarker development. We demonstrated that the DICOM standard can be used to represent the types of data relevant in HNC QI biomarker development, and encode their complex relationships. The resulting annotated objects are amenable to data mining applications, and are interoperable with a variety of systems that support the DICOM standard. PMID:27257542
Rebueno, Ma Carina D R; Tiongco, Dyan Dee D; Macindo, John Rey B
2017-02-01
Clinical competence remains an issue in nursing and has received greater emphasis than academic competence. Although skill enhancement programs are recommended and beneficial, there is limited evidence on its influence on the clinical competence of pre-graduate nursing students. This study explored the attributes of a skills enhancement program that affect the perceived clinical competence of pre-graduate nursing students. A cross-sectional study was conducted in a private higher education institution in the Philippines from April to May 2016. A total of 245 pre-graduate nursing students participated and completed a three-part survey composed of the respondent's robotfoto, the Skills Enhancement Program Questionnaire, and the Clinical Competence Questionnaire. Factor analysis explicated the attributes of the skills enhancement program while structural equation modeling and path analysis analyzed the variables' relationship. Findings showed that a skills enhancement program has 4 attributes: supportive clinical instructor, comprehensive orientation, formative goals and objectives, and conducive learning environment. Although all attributes of the program positively affected clinical competence, a supportive clinical instructor had the strongest influence on all clinical competency dimensions. A skills enhancement program that has a supportive clinical instructor, comprehensive orientation, formative goals and objectives, and conducive learning environment facilitates clinical competency development among pre-graduate nursing students. This knowledge provides momentum for nursing educators to review and refine their skills and the existing design of their skills enhancement program to further develop clinical competency among pre-graduate nursing students. Copyright © 2016 Elsevier Ltd. All rights reserved.
Choy-Brown, Mimi; Stanhope, Victoria; Tiderington, Emmy; Padgett, Deborah K
2016-07-01
Behavioral health organizations use clinical supervision to ensure professional development and practice quality. This qualitative study examined 35 service coordinators' perspectives on supervision in two distinct supportive housing program types (permanent and transitional). Thematic analysis of in-depth interviews yielded three contrast themes: support versus scrutiny, planned versus impromptu time, and housing first versus treatment first. Supervisory content and format resulted in differential perceptions of supervision, thereby influencing opportunities for learning. These findings suggest that unpacking discrete elements of supervision enactment in usual care settings can inform implementation of recovery-oriented practice.
Choy-Brown, Mimi; Stanhope, Victoria; Tiderington, Emmy; Padgett, Deborah K.
2015-01-01
Behavioral health organizations use clinical supervision to ensure professional development and practice quality. This qualitative study examined 35 service coordinators' perspectives on supervision in two distinct supportive housing program types (permanent and transitional). Thematic analysis of in-depth interviews yielded three contrast themes: support versus scrutiny, planned versus impromptu time, and Housing First versus Treatment First. Supervisory content and format resulted in differential perceptions of supervision, thereby influencing opportunities for learning. These findings suggest that unpacking discrete elements of supervision enactment in usual care settings can inform implementation of recovery-oriented practice. PMID:26066866
Huber, Timothy C; Krishnaraj, Arun; Monaghan, Dayna; Gaskin, Cree M
2018-05-18
Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. This software provides imaging study decision support for referring providers at the point of order entry. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. This allowed for real-time visualization of the data generated by the decision support software. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts.
Jones, Wallace; Drake, Cynthia; Mack, David; Reeder, Blaine; Trautner, Barbara; Wald, Heidi
2017-06-20
Unique characteristics of nursing homes (NHs) contribute to high rates of inappropriate antibiotic use for asymptomatic bacteriuria (ASB), a benign condition. A mobile clinical decision support system (CDSS) may support NH staff in differentiating urinary tract infections (UTI) from ASB and reducing antibiotic days. We used Goal-Directed Design to: 1) Characterize information needs for UTI identification and management in NHs; 2) Develop UTI Decide, a mobile CDSS prototype informed by personas and scenarios of use constructed from Aim 1 findings; 3) Evaluate the UTI Decide prototype with NH staff. Focus groups were conducted with providers and nurses in NHs in Denver, Colorado (n= 24). Qualitative descriptive analysis was applied to focus group transcripts to identify information needs and themes related to mobile clinical decision support for UTI identification and management. Personas representing typical end users were developed; typical clinical context scenarios were constructed using information needs as goals. Usability testing was performed using cognitive walk-throughs and a think-aloud protocol. Four information needs were identified including guidance regarding resident assessment; communication with providers; care planning; and urine culture interpretation. Design of a web-based application incorporating a published decision support algorithm for evidence-based UTI diagnoses proceeded with a focus on nursing information needs during resident assessment and communication with providers. Certified nursing assistant (CNA) and registered nurse (RN) personas were constructed in 4 context scenarios with associated key path scenarios. After field testing, a high fidelity prototype of UTI Decide was completed and evaluated by potential end users. Design recommendations and content recommendations were elicited. Goal-Directed Design informed the development of a mobile CDSS supporting participant-identified information needs for UTI assessment and communication in NHs. Future work will include iterative deployment and evaluation of UTI Decide in NHs to decrease inappropriate use of antibiotics for suspected UTI.
How online sexual health services could work; generating theory to support development.
Baraitser, Paula; Syred, Jonathan; Spencer-Hughes, Vicki; Howroyd, Chris; Free, Caroline; Holdsworth, Gillian
2015-12-05
Online sexual health services are an emerging area of service delivery. Theory of change critically analyses programmes by specifying planned inputs and articulating the causal pathways that link these to anticipated outcomes. It acknowledges the changing and contested nature of these relationships. We developed two versions of a theory of change for an online sexual health service. The first articulated the theory presented in the original programme proposal and the second documented its development in the early stages of implementation through interviews with key programme stakeholders. The programme proposal described an autonomous and empowered user completing a sexual health check using a more convenient, accessible and discreet online service and a shift from clinic based to online care. The stakeholder interviews confirmed this and described new and more complex patterns of service use as the online service creates opportunities for providers to contact users outside of the traditional clinic visit and users move between online and clinic based care. They described new types of user/provider relationships which we categorised as: those influenced by an online retail culture; those influenced by health promotion outreach and surveillance and those acknowledging the need for supported access. This analysis of stakeholder views on the likely the impacts of online sexual health services suggests three areas for further thinking and research. 1. Co-development of clinic and online services to support complex patterns of service use. 2. Developing access to online services for those who could use them with support. 3. Understanding user experience of sexual health services as increasing user autonomy and choice in some situations; creating exclusion and a need for support in others and intrusiveness and a lack of control in still others. This work has influenced the evaluation of this programme which will focus on; mapping patterns of use to understand how users move between the online and clinic based services; barriers to use of online services among some populations and how to overcome these; understanding user perceptions of autonomy in relation to online services.
Clinical Research Nursing: Development of a Residency Program .
Showalter, Brandi L; Cline, Debbie; Yungclas, Jan; Frentz, Kelly; Stafford, Susan R; Maresh, Kelly J
2017-10-01
Clinical research nurses are essential in the coordination of clinical trials and the management of research participants. Without a stable, knowledgeable research nurse workforce, the conduct of research is affected. A research nurse residency is a novel approach to preparing new graduate nurses for the oncology research nurse role. This article will describe the development and content of the research nurse residency and how this approach is being used to address a need for clinical research nurses to support burgeoning clinical trials at a National Cancer Institute-designated comprehensive cancer center. .
Quantitative Systems Pharmacology: A Case for Disease Models
Ramanujan, S; Schmidt, BJ; Ghobrial, OG; Lu, J; Heatherington, AC
2016-01-01
Quantitative systems pharmacology (QSP) has emerged as an innovative approach in model‐informed drug discovery and development, supporting program decisions from exploratory research through late‐stage clinical trials. In this commentary, we discuss the unique value of disease‐scale “platform” QSP models that are amenable to reuse and repurposing to support diverse clinical decisions in ways distinct from other pharmacometrics strategies. PMID:27709613
ERIC Educational Resources Information Center
Carney, Timothy Jay
2012-01-01
A study design has been developed that employs a dual modeling approach to identify factors associated with facility-level cancer screening improvement and how this is mediated by the use of clinical decision support. This dual modeling approach combines principles of (1) Health Informatics, (2) Cancer Prevention and Control, (3) Health Services…
Tavabie, Jacqueline A; Simms, Jacqueline M
2017-03-01
Many health and social care systems worldwide have been developing a variety of navigator and signposting roles to help patients negotiate care through increasingly complex systems and multiple provider agencies. This UK project aims to explore, through a combination of job description review and workshops of stakeholders, the common competencies and features of non-clinical roles. The information is collated to develop common job descriptions at four key levels. These form the basis for a career pathway supported by portfolio-based educational programmes, embracing Apprenticeship Training Programmes. The programmes have the potential to support recruitment and retention of an increasingly skilled workforce to move between traditional health and social care provider boundaries. This offers the opportunity to release clinicians from significant administrative workload and support patients in an integrated care system.
Roca, Josep; Cano, Isaac; Gomez-Cabrero, David; Tegnér, Jesper
2016-01-01
Systems medicine, using and adapting methods and approaches as developed within systems biology, promises to be essential in ongoing efforts of realizing and implementing personalized medicine in clinical practice and research. Here we review and critically assess these opportunities and challenges using our work on COPD as a case study. We find that there are significant unresolved biomedical challenges in how to unravel complex multifactorial components in disease initiation and progression producing different clinical phenotypes. Yet, while such a systems understanding of COPD is necessary, there are other auxiliary challenges that need to be addressed in concert with a systems analysis of COPD. These include information and communication technology (ICT)-related issues such as data harmonization, systematic handling of knowledge, computational modeling, and importantly their translation and support of clinical practice. For example, clinical decision-support systems need a seamless integration with new models and knowledge as systems analysis of COPD continues to develop. Our experience with clinical implementation of systems medicine targeting COPD highlights the need for a change of management including design of appropriate business models and adoption of ICT providing and supporting organizational interoperability among professional teams across healthcare tiers, working around the patient. In conclusion, in our hands the scope and efforts of systems medicine need to concurrently consider these aspects of clinical implementation, which inherently drives the selection of the most relevant and urgent issues and methods that need further development in a systems analysis of disease.
Watt, Stuart; Jiao, Wei; Brown, Andrew M K; Petrocelli, Teresa; Tran, Ben; Zhang, Tong; McPherson, John D; Kamel-Reid, Suzanne; Bedard, Philippe L; Onetto, Nicole; Hudson, Thomas J; Dancey, Janet; Siu, Lillian L; Stein, Lincoln; Ferretti, Vincent
2013-09-01
Using sequencing information to guide clinical decision-making requires coordination of a diverse set of people and activities. In clinical genomics, the process typically includes sample acquisition, template preparation, genome data generation, analysis to identify and confirm variant alleles, interpretation of clinical significance, and reporting to clinicians. We describe a software application developed within a clinical genomics study, to support this entire process. The software application tracks patients, samples, genomic results, decisions and reports across the cohort, monitors progress and sends reminders, and works alongside an electronic data capture system for the trial's clinical and genomic data. It incorporates systems to read, store, analyze and consolidate sequencing results from multiple technologies, and provides a curated knowledge base of tumor mutation frequency (from the COSMIC database) annotated with clinical significance and drug sensitivity to generate reports for clinicians. By supporting the entire process, the application provides deep support for clinical decision making, enabling the generation of relevant guidance in reports for verification by an expert panel prior to forwarding to the treating physician. Copyright © 2013 Elsevier Inc. All rights reserved.
Levac, Danielle; Espy, Deborah; Fox, Emily; Pradhan, Sujata
2015-01-01
Microsoft's Kinect for Xbox 360 virtual reality (VR) video games are promising rehabilitation options because they involve motivating, full-body movement practice. However, these games were designed for recreational use, which creates challenges for clinical implementation. Busy clinicians require decision-making support to inform game selection and implementation that address individual therapeutic goals. This article describes the development and preliminary evaluation of a knowledge translation (KT) resource to support clinical decision making about selection and use of Kinect games in physical therapy. The knowledge-to-action framework guided the development of the Kinecting With Clinicians (KWiC) resource. Five physical therapists with VR and video game expertise analyzed the Kinect Adventure games. A consensus-building method was used to arrive at categories to organize clinically relevant attributes guiding game selection and game play. The process and results of an exploratory usability evaluation of the KWiC resource by clinicians through interviews and focus groups at 4 clinical sites is described. Subsequent steps in the evaluation and KT process are proposed, including making the KWiC resource Web-based and evaluating the utility of the online resource in clinical practice. PMID:25256741
Levac, Danielle; Espy, Deborah; Fox, Emily; Pradhan, Sujata; Deutsch, Judith E
2015-03-01
Microsoft's Kinect for Xbox 360 virtual reality (VR) video games are promising rehabilitation options because they involve motivating, full-body movement practice. However, these games were designed for recreational use, which creates challenges for clinical implementation. Busy clinicians require decision-making support to inform game selection and implementation that address individual therapeutic goals. This article describes the development and preliminary evaluation of a knowledge translation (KT) resource to support clinical decision making about selection and use of Kinect games in physical therapy. The knowledge-to-action framework guided the development of the Kinecting With Clinicians (KWiC) resource. Five physical therapists with VR and video game expertise analyzed the Kinect Adventure games. A consensus-building method was used to arrive at categories to organize clinically relevant attributes guiding game selection and game play. The process and results of an exploratory usability evaluation of the KWiC resource by clinicians through interviews and focus groups at 4 clinical sites is described. Subsequent steps in the evaluation and KT process are proposed, including making the KWiC resource Web-based and evaluating the utility of the online resource in clinical practice. © 2015 American Physical Therapy Association.
Better Together: The Making and Maturation of the Palliative Care Research Cooperative Group.
Ritchie, Christine L; Pollak, Kathryn I; Kehl, Karen A; Miller, Jeri L; Kutner, Jean S
2017-06-01
To describe the growth and outcomes of the Palliative Care Research Cooperative Group (PCRC). Despite advances, significant gaps remain in the evidence base to inform care for people with serious illness. To generate this needed evidence and bolster research capacity, the Palliative Care Research Cooperative (PCRC) group was formed. The PCRC supports investigators in the conduct of multisite clinical studies. After developing a governance structure and completing a proof of concept demonstration study, the PCRC expanded its infrastructure to include additional resource cores (Clinical Studies; Measurement; Data Informatics and Statistics; and Caregiver Studies). The PCRC also supports an Investigator Development Center as many palliative care investigators valued opportunities to advance their skills. Additional key aspects of PCRC resources include a Scientific Review Committee, a Publications Committee, and initiatives to purposefully engage investigators in a community of palliative care science. The PCRC has grown to over 300 members representing more than 130 distinct sites. To date, the PCRC has supported the submission of 51 research applications and has engaged in 27 studies. The PCRC supports investigator research development needs through webinars and clinical trials "intensives." To foster a sense of community, the PCRC has convened biannual meetings, developed special interest groups, and regularly communicates via a newsletter and its website. With a particular focus on facilitating conduct of rigorous multisite clinical studies, the PCRC fosters an engaged multidisciplinary research community, filling an important void in generating and disseminating evidence that informs the provision of high-quality care to people with serious illness.
Demotes-Mainard, Jacques
2010-12-01
Clinical research plays a key role both in the development of innovative health products and in the optimisation of medical strategies, leading to evidence-based practice and healthcare cost containment. ECRIN is a distributed ESFRI-roadmap pan-European infrastructure designed to support multinational clinical research, making Europe a single area for clinical studies, taking advantage of its population size to access patients, and unlocking latent scientific providing services to multinational. Servicing of multinational trials started during the preparatory phase, and ECRIN has applied for ERIC status in 2011. In parallel, ECRIN has also proposed an FP7 integrating activity project to further develop, upgrade and expand the ECRIN infrastructure built up during the past FP6 and FP7 projects, facilitating an efficient organization of clinical research in Europe, with ECRIN developing generic tools and providing generic services for multinational studies, and supporting the construction of pan-European disease-oriented networks that will in turn act as ECRIN users. This organization will improve Europe's attractiveness for industry trials, boost its scientific competitiveness, and result in better healthcare for European citizens. The three medical areas supported in this project (rare diseases, medical devices, and nutrition) will serve as pilots for other biomedical research fields. By creating a single area for clinical research in Europe, this structure will contribute to the implementation of the Europe flagship initiative 2020 'Innovation Union', whose objectives include defragmentation of research and educational capacities, tackling the major societal challenges (starting with healthy aging), and removing barriers to bringing ideas to the market.
[Prescribing monitoring in clinical practice: from enlightened empiricism to rational strategies].
Buclin, Thierry; Herzig, Lilli
2013-05-15
Monitoring of a medical condition is the periodic measurement of one or several physiological or biological variables to detect a signal regarding its clinical progression or its response to treatment. We distinguish different medical situations between diagnostic, clinical and therapeutic process to apply monitoring. Many clinical, variables can be used for monitoring, once their intrinsic properties (normal range, critical difference, kinetics, reactivity) and external validity (pathophysiological importance, predictive power for clinical outcomes) are established. A formal conceptualization of monitoring is being developed and should support the rational development of monitoring strategies and their validation through appropriate clinical trials.
Technological innovations in the development of cardiovascular clinical information systems.
Hsieh, Nan-Chen; Chang, Chung-Yi; Lee, Kuo-Chen; Chen, Jeen-Chen; Chan, Chien-Hui
2012-04-01
Recent studies have shown that computerized clinical case management and decision support systems can be used to assist surgeons in the diagnosis of disease, optimize surgical operation, aid in drug therapy and decrease the cost of medical treatment. Therefore, medical informatics has become an extensive field of research and many of these approaches have demonstrated potential value for improving medical quality. The aim of this study was to develop a web-based cardiovascular clinical information system (CIS) based on innovative techniques, such as electronic medical records, electronic registries and automatic feature surveillance schemes, to provide effective tools and support for clinical care, decision-making, biomedical research and training activities. The CIS developed for this study contained monitoring, surveillance and model construction functions. The monitoring layer function provided a visual user interface. At the surveillance and model construction layers, we explored the application of model construction and intelligent prognosis to aid in making preoperative and postoperative predictions. With the use of the CIS, surgeons can provide reasonable conclusions and explanations in uncertain environments.
Working in partnership with the voluntary sector: early explorer clinics.
Coe, Chris; Barlow, Jane
2010-11-01
The first three years of life have been identified as key to promoting children's later wellbeing, and partnership working across the statutory and voluntary sectors has been proposed as one of the best ways to meet the needs of families. Child health clinics are attended by parents seeking reassurance or help and advice from a health professional regarding child health and development. They have been used in Oxford to develop Early Explorer clinics, in which the statutory health visiting service and voluntary sector Peers Early Education Programme work together with the aim of improving outcomes for children and families. These Early Explorer clinics provide the opportunity to engage parents in supporting their child's development through interaction and non-directed exploratory play. They also offer opportunities to identify vulnerable families, who are provided with additional support. This paper examines a model of partnership working between statutory and voluntary sectors aimed at maximising opportunities to promote the health and wellbeing of infants and their families.
Cardiac Cachexia: Perspectives for Prevention and Treatment.
Okoshi, Marina Politi; Capalbo, Rafael Verardino; Romeiro, Fernando G; Okoshi, Katashi
2017-01-01
Cachexia is a prevalent pathological condition associated with chronic heart failure. Its occurrence predicts increased morbidity and mortality independent of important clinical variables such as age, ventricular function, or heart failure functional class. The clinical consequences of cachexia are dependent on both weight loss and systemic inflammation, which accompany cachexia development. Skeletal muscle wasting is an important component of cachexia; it often precedes cachexia development and predicts poor outcome in heart failure. Cachexia clinically affects several organs and systems. It is a multifactorial condition where underlying pathophysiological mechanisms are not completely understood making it difficult to develop specific prevention and treatment therapies. Preventive strategies have largely focused on muscle mass preservation. Different treatment options have been described, mostly in small clinical studies or experimental settings. These include nutritional support, neurohormonal blockade, reducing intestinal bacterial translocation, anemia and iron deficiency treatment, appetite stimulants, immunomodulatory agents, anabolic hormones, and physical exercise regimens. Currently, nonpharmacological therapy such as nutritional support and physical exercise are considered central to cachexia prevention and treatment.
Ewing, E Stephanie Krauthamer; Diamond, Guy; Levy, Suzanne
2015-01-01
Attachment-Based Family Therapy (ABFT) is a manualized family-based intervention designed for working with depressed adolescents, including those at risk for suicide, and their families. It is an empirically informed and supported treatment. ABFT has its theoretical underpinnings in attachment theory and clinical roots in structural family therapy and emotion focused therapies. ABFT relies on a transactional model that aims to transform the quality of adolescent-parent attachment, as a means of providing the adolescent with a more secure relationship that can support them during challenging times generally, and the crises related to suicidal thinking and behavior, specifically. This article reviews: (1) the theoretical foundations of ABFT (attachment theory, models of emotional development); (2) the ABFT clinical model, including training and supervision factors; and (3) empirical support.
Clinical Training at Remote Sites Using Mobile Technology: An India-USA Partnership
ERIC Educational Resources Information Center
Vyas, R.; Albright, S.; Walker, D.; Zachariah, A.; Lee, M. Y.
2010-01-01
Christian Medical College (CMC), India, and Tufts University School of Medicine, USA, have developed an "institutional hub and spokes" model (campus-based e-learning supporting m-learning in the field) to facilitate clinical education and training at remote secondary hospital sites across India. Iterative research, design, development,…
Design and Development of a New Facility for Teaching and Research in Clinical Anatomy
ERIC Educational Resources Information Center
Greene, John Richard T.
2009-01-01
This article discusses factors in the design, commissioning, project management, and intellectual property protection of developments within a new clinical anatomy facility in the United Kingdom. The project was aimed at creating cost-effective facilities that would address widespread concerns over anatomy teaching, and support other activities…
Activities of Intellectual Disability Clinical Nurse Specialists in Ireland.
Doody, Owen; Slevin, Eamonn; Taggart, Laurence
The aim of this study was to identify the contribution of Irish intellectual disability clinical nurse specialists (ID CNSs) to service delivery. A nonexperimental descriptive design was selected to survey ID CNSs presently working in Ireland. The questionnaire was developed based on focus group interviews, available literature, and expert panel views. Ethical approval and access were granted to all ID CNSs in Ireland. Thirty-two responded (33.68% response rate) from all work areas (voluntary organizations or health service executive) practicing within residential, community, or school services. Respondents were surveyed across a range of areas (demographic details and support to client, staff, family, organization, community, other agencies, and professional development). Findings identify that ID CNSs are active in all aspects of their roles as clinical specialist, educator, communicator, researcher, change agent, and leader, thus supporting person-centered care and improving service delivery. To meet changing healthcare demands, promote person-centered care, and improve service delivery, the CNS role in ID should be developed and supported. The findings merit a further study on ID CNS role activity, possible variables influencing role activity, and team members' views.
Clark, Susz; Van Steenvort, Jon K
2008-01-01
Today's operational environment in the support of counterinsurgency operations requires greater tactical and operational flexibility and diverse medical capabilities. The skills and organizations required for full spectrum medical operations are different from those of the past. Combat healthcare demands agility and the capacity for rapid change in clinical systems and processes to better support the counterinsurgency environment. This article proposes the Army Medical Department (AMEDD) develop and implement the medical capability team (MCT) for combat healthcare delivery. It discusses using the concept of the brigade combat team to develop medical capability teams as the unit of effectiveness to transform frontline care; provides a theoretical overview of the MCT as a "clinical microsystem"; discusses MCT leadership, training, and organizational support, and the deployment and employment of the MCT in a counterinsurgency environment. Additionally, this article proposes that the AMEDD initiate the development of an AMEDD Combat Training Center of Excellence to train and validate the MCTs. The complexity of combat healthcare demands an agile and campaign quality AMEDD with joint expeditionary capability in order to promote the best patient outcomes in a counterinsurgency environment.
Capturing Essential Information to Achieve Safe Interoperability
Weininger, Sandy; Jaffe, Michael B.; Rausch, Tracy; Goldman, Julian M.
2016-01-01
In this article we describe the role of “clinical scenario” information to assure the safety of interoperable systems, as well as the system’s ability to deliver the requisite clinical functionality to improve clinical care. Described are methods and rationale for capturing the clinical needs, workflow, hazards, and device interactions in the clinical environment. Key user (clinician and clinical engineer) needs and system requirements can be derived from this information, therefore improving the communication from clinicians to medical device and information technology system developers. This methodology is intended to assist the health care community, including researchers, standards developers, regulators, and manufacturers, by providing clinical definition to support requirements in the systems engineering process, particularly those focusing on development of Integrated Clinical Environments described in standard ASTM F2761. Our focus is on identifying and documenting relevant interactions and medical device capabilities within the system using a documentation tool called medical device interface data sheets (MDIDSa) and mitigating hazardous situations related to workflow, product usability, data integration, and the lack of effective medical device-health information technology system integration to achieve safe interoperability. Portions of the analysis of a clinical scenario for a “Patient-controlled analgesia safety interlock” are provided to illustrate the method. Collecting better clinical adverse event information and proposed solutions can help identify opportunities to improve current device capabilities and interoperability and support a Learning Health System to improve health care delivery. Developing and analyzing clinical scenarios are the first steps in creating solutions to address vexing patient safety problems and enable clinical innovation. A web-based research tool for implementing a means of acquiring and managing this information, the Clinical Scenario Repository™, is described. PMID:27387840
Capturing Essential Information to Achieve Safe Interoperability.
Weininger, Sandy; Jaffe, Michael B; Rausch, Tracy; Goldman, Julian M
2017-01-01
In this article, we describe the role of "clinical scenario" information to assure the safety of interoperable systems, as well as the system's ability to deliver the requisite clinical functionality to improve clinical care. Described are methods and rationale for capturing the clinical needs, workflow, hazards, and device interactions in the clinical environment. Key user (clinician and clinical engineer) needs and system requirements can be derived from this information, therefore, improving the communication from clinicians to medical device and information technology system developers. This methodology is intended to assist the health care community, including researchers, standards developers, regulators, and manufacturers, by providing clinical definition to support requirements in the systems engineering process, particularly those focusing on development of Integrated Clinical Environments described in standard ASTM F2761. Our focus is on identifying and documenting relevant interactions and medical device capabilities within the system using a documentation tool called medical device interface data sheets and mitigating hazardous situations related to workflow, product usability, data integration, and the lack of effective medical device-health information technology system integration to achieve safe interoperability. Portions of the analysis of a clinical scenario for a "patient-controlled analgesia safety interlock" are provided to illustrate the method. Collecting better clinical adverse event information and proposed solutions can help identify opportunities to improve current device capabilities and interoperability and support a learning health system to improve health care delivery. Developing and analyzing clinical scenarios are the first steps in creating solutions to address vexing patient safety problems and enable clinical innovation. A Web-based research tool for implementing a means of acquiring and managing this information, the Clinical Scenario Repository™ (MD PnP Program), is described.
Transitioning into new clinical areas of practice: An integrative review of the literature.
Kinghorn, Grant R; Halcomb, Elizabeth J; Froggatt, Terry; Thomas, Stuart Dm
2017-12-01
To critically synthesise research related to the transition of registered nurses into new areas of clinical practice. Global workforce shortages and rising healthcare demands have encouraged registered nurses to move into new clinical settings. While a body of literature reports on the transition of newly qualified nurses, evidence surrounding the transition of more experienced registered nurses to new clinical areas remains poorly explored. An integrative review was conducted, guided by Whittemore and Knafl (Journal of Advanced Nursing, 52, 2005, 546) framework. An electronic database search was conducted for papers published between 1996-2016. Papers were then subjected to a methodological quality appraisal, with findings synthesised using thematic analysis into core themes. Ten articles met the inclusion criteria. Three themes emerged, namely Support, Professional Development and Emotional Impact. These themes suggest that transitioning nurses experience challenges in adapting to new clinical areas and developing necessary skills. Such challenges prompted various emotional and physical responses. While formal and informal support systems were regarded as valuable by transitioning nurses, they were inconsistent across the new clinical areas. There is some evidence to highlight the initial shock and emotional stress experienced by registered nurses during transition to a new clinical area. However, the influence of formal and informal support systems for such registered nurses is far from conclusive. Further research is needed, to examine registered nurse transition into a variety of clinical areas to inform workforce support, policy and practices. The demand of health care is growing while global shortages of nursing workforce remain. To ensure retention and enhance the transition experience of registered nurses, it is important for nurse leaders, managers and policymakers to understand the transition experience and factors that impact this experience. © 2017 John Wiley & Sons Ltd.
Li, Zhaoyang; Easton, Rachael
2018-01-01
The development of an injectable drug-device combination (DDC) product for biologics is an intricate and evolving process that requires substantial investments of time and money. Consequently, the commercial dosage form(s) or presentation(s) are often not ready when pivotal trials commence, and it is common to have drug product changes (manufacturing process or presentation) during clinical development. A scientifically sound and robust bridging strategy is required in order to introduce these changes into the clinic safely. There is currently no single developmental paradigm, but a risk-based hierarchical approach has been well accepted. The rigor required of a bridging package depends on the level of risk associated with the changes. Clinical pharmacokinetic/pharmacodynamic comparability or outcome studies are only required when important changes occur at a late stage. Moreover, an injectable DDC needs to be user-centric, and usability assessment in real-world clinical settings may be required to support the approval of a DDC. In this review, we discuss the common issues during the manufacturing process and presentation development of an injectable DDC and practical considerations in establishing a clinical strategy to address these issues, including key elements of clinical studies. We also analyze the current practice in the industry and review relevant and status of regulatory guidance in the DDC field.
Easton, Rachael
2018-01-01
ABSTRACT The development of an injectable drug-device combination (DDC) product for biologics is an intricate and evolving process that requires substantial investments of time and money. Consequently, the commercial dosage form(s) or presentation(s) are often not ready when pivotal trials commence, and it is common to have drug product changes (manufacturing process or presentation) during clinical development. A scientifically sound and robust bridging strategy is required in order to introduce these changes into the clinic safely. There is currently no single developmental paradigm, but a risk-based hierarchical approach has been well accepted. The rigor required of a bridging package depends on the level of risk associated with the changes. Clinical pharmacokinetic/pharmacodynamic comparability or outcome studies are only required when important changes occur at a late stage. Moreover, an injectable DDC needs to be user-centric, and usability assessment in real-world clinical settings may be required to support the approval of a DDC. In this review, we discuss the common issues during the manufacturing process and presentation development of an injectable DDC and practical considerations in establishing a clinical strategy to address these issues, including key elements of clinical studies. We also analyze the current practice in the industry and review relevant and status of regulatory guidance in the DDC field. PMID:29035675
Samwald, Matthias; Miñarro Giménez, Jose Antonio; Boyce, Richard D; Freimuth, Robert R; Adlassnig, Klaus-Peter; Dumontier, Michel
2015-02-22
Every year, hundreds of thousands of patients experience treatment failure or adverse drug reactions (ADRs), many of which could be prevented by pharmacogenomic testing. However, the primary knowledge needed for clinical pharmacogenomics is currently dispersed over disparate data structures and captured in unstructured or semi-structured formalizations. This is a source of potential ambiguity and complexity, making it difficult to create reliable information technology systems for enabling clinical pharmacogenomics. We developed Web Ontology Language (OWL) ontologies and automated reasoning methodologies to meet the following goals: 1) provide a simple and concise formalism for representing pharmacogenomic knowledge, 2) finde errors and insufficient definitions in pharmacogenomic knowledge bases, 3) automatically assign alleles and phenotypes to patients, 4) match patients to clinically appropriate pharmacogenomic guidelines and clinical decision support messages and 5) facilitate the detection of inconsistencies and overlaps between pharmacogenomic treatment guidelines from different sources. We evaluated different reasoning systems and test our approach with a large collection of publicly available genetic profiles. Our methodology proved to be a novel and useful choice for representing, analyzing and using pharmacogenomic data. The Genomic Clinical Decision Support (Genomic CDS) ontology represents 336 SNPs with 707 variants; 665 haplotypes related to 43 genes; 22 rules related to drug-response phenotypes; and 308 clinical decision support rules. OWL reasoning identified CDS rules with overlapping target populations but differing treatment recommendations. Only a modest number of clinical decision support rules were triggered for a collection of 943 public genetic profiles. We found significant performance differences across available OWL reasoners. The ontology-based framework we developed can be used to represent, organize and reason over the growing wealth of pharmacogenomic knowledge, as well as to identify errors, inconsistencies and insufficient definitions in source data sets or individual patient data. Our study highlights both advantages and potential practical issues with such an ontology-based approach.
Zhang, Yi-Fan; Gou, Ling; Tian, Yu; Li, Tian-Chang; Zhang, Mao; Li, Jing-Song
2016-05-01
Clinical decision support (CDS) systems provide clinicians and other health care stakeholders with patient-specific assessments or recommendations to aid in the clinical decision-making process. Despite their demonstrated potential for improving health care quality, the widespread availability of CDS systems has been limited mainly by the difficulty and cost of sharing CDS knowledge among heterogeneous healthcare information systems. The purpose of this study was to design and develop a sharable clinical decision support (S-CDS) system that meets this challenge. The fundamental knowledge base consists of independent and reusable knowledge modules (KMs) to meet core CDS needs, wherein each KM is semantically well defined based on the standard information model, terminologies, and representation formalisms. A semantic web service framework was developed to identify, access, and leverage these KMs across diverse CDS applications and care settings. The S-CDS system has been validated in two distinct client CDS applications. Model-level evaluation results confirmed coherent knowledge representation. Application-level evaluation results reached an overall accuracy of 98.66 % and a completeness of 96.98 %. The evaluation results demonstrated the technical feasibility and application prospect of our approach. Compared with other CDS engineering efforts, our approach facilitates system development and implementation and improves system maintainability, scalability and efficiency, which contribute to the widespread adoption of effective CDS within the healthcare domain.
Ethical environment: reports of practicing nurses.
McDaniel, C
1998-06-01
Reports from the development of the Ethics Environment Questionnaire identify three critical features for ethical environments in health care settings of registered nurses. They are the ability of nurses to engage in discussions about patient care, support from administrators, and the development of policies-procedures that support their practice. Implications for clinical practicing nurses are explored.
Design of a Clinical Information Management System to Support DNA Analysis Laboratory Operation
Dubay, Christopher J.; Zimmerman, David; Popovich, Bradley
1995-01-01
The LabDirector system has been developed at the Oregon Health Sciences University to support the operation of our clinical DNA analysis laboratory. Through an iterative design process which has spanned two years, we have produced a system that is both highly tailored to a clinical genetics production laboratory and flexible in its implementation, to support the rapid growth and change of protocols and methodologies in use in the field. The administrative aspects of the system are integrated with an enterprise schedule management system. The laboratory side of the system is driven by a protocol modeling and execution system. The close integration between these two aspects of the clinical laboratory facilitates smooth operations, and allows management to accurately measure costs and performance. The entire application has been designed and documented to provide utility to a wide range of clinical laboratory environments.
Gutenstein, Marc; Pickering, John W; Than, Martin
2018-06-01
Clinical pathways are used to support the management of patients in emergency departments. An existing document-based clinical pathway was used as the foundation on which to design and build a digital clinical pathway for acute chest pain, with the aim of improving clinical calculations, clinician decision-making, documentation, and data collection. Established principles of decision support system design were used to build an application within the existing electronic health record, before testing with a multidisciplinary team of doctors using a think-aloud protocol. Technical authoring was successful, however, usability testing revealed that the user experience and the flexibility of workflow within the application were critical barriers to implementation. Emergency medicine and acute care decision support systems face particular challenges to existing models of linear workflow that should be deliberately addressed in digital pathway design. We make key recommendations regarding digital pathway design in emergency medicine.
Witt, Claudia M; Huang, Wen-jing; Lao, Lixing; Berman, Brian M
2013-08-01
In clinical research on complementary and integrative medicine, experts and scientists have often pursued a research agenda in spite of an incomplete understanding of the needs of end users. Consequently, the majority of previous clinical trials have mainly assessed the efficacy of interventions. Scant data is available on their effectiveness. Comparative effectiveness research (CER) promises to support decision makers by generating evidence that compares the benefits and harms of best care options. This evidence, more generalizable than evidence generated by traditional randomized clinical trials (RCTs), is better suited to inform real-world care decisions. An emphasis on CER supports the development of the evidence base for clinical and policy decision-making. Whereas in most areas of complementary and integrative medicine data on CER is scarce, available acupuncture research already contributes to CER evidence. This paper will introduce CER and make suggestions for future research.
Coyne, Elisabeth; Grafton, Eileen; Reid, Alayne
2016-12-01
Research conducted in the clinical area promotes the delivery of evidence-based patient care. Involving nurses as participants in research is considered essential to link patient care with evidence-based interventions. However recruitment is influenced by nurses' competing demands and understanding engagement strategies may assist future research. This reflective analysis aimed to understand influencing factors and strategies that support successful recruitment nurses in clinical research. A reflective analysis of research notes and focus group data from research with oncology nurses was completed. This research identified that gaining support from key staff, understanding work constraints and developing a rapport with nurses is important. Establishing clear relevance and benefits of the research and being flexible with research requirements enabled nurses to participate in the research. Clear information and a willingness to accommodate the demands and dynamic nature of the environment, ensures ongoing support and engagement of nurses in the clinical setting as participants in research.
Dixon, Brian E; Gamache, Roland E; Grannis, Shaun J
2013-05-01
To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making. Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows.
Yap, Glenn A; Platonova, Elena A; Musa, Philip F
2006-02-01
An exploratory study used Ansoff's strategic planning model as a framework to assess perceived effectiveness of information systems in supporting strategic business plan development at Air Force medical treatment facilities (MTFs). Results showed information systems were most effective in supporting historical trend analysis, strategic business plans appeared to be a balance of operational and strategic plans, and facilities perceived a greater need for new clinical, vice administrative, information systems to support strategic planning processes. Administrators believed information systems should not be developed at the local level and perceived information systems have the greatest impact on improving clinical quality outcomes, followed by ability to deliver cost effective care and finally, ability to increase market share.
Rohrer Vitek, Carolyn R; Abul-Husn, Noura S; Connolly, John J; Hartzler, Andrea L; Kitchner, Terrie; Peterson, Josh F; Rasmussen, Luke V; Smith, Maureen E; Stallings, Sarah; Williams, Marc S; Wolf, Wendy A; Prows, Cynthia A
2017-01-01
Ten organizations within the Electronic Medical Records and Genomics Network developed programs to implement pharmacogenomic sequencing and clinical decision support into clinical settings. Recognizing the importance of informed prescribers, a variety of strategies were used to incorporate provider education to support implementation. Education experiences with pharmacogenomics are described within the context of each organization's prior involvement, including the scope and scale of implementation specific to their Electronic Medical Records and Genomics projects. We describe common and distinct education strategies, provide exemplars and share challenges. Lessons learned inform future perspectives. Future pharmacogenomics clinical implementation initiatives need to include funding toward implementing provider education and evaluating outcomes. PMID:28639489
Development of a kernel function for clinical data.
Daemen, Anneleen; De Moor, Bart
2009-01-01
For most diseases and examinations, clinical data such as age, gender and medical history guides clinical management, despite the rise of high-throughput technologies. To fully exploit such clinical information, appropriate modeling of relevant parameters is required. As the widely used linear kernel function has several disadvantages when applied to clinical data, we propose a new kernel function specifically developed for this data. This "clinical kernel function" more accurately represents similarities between patients. Evidently, three data sets were studied and significantly better performances were obtained with a Least Squares Support Vector Machine when based on the clinical kernel function compared to the linear kernel function.
Patkar, Vivek; Acosta, Dionisio; Davidson, Tim; Jones, Alison; Fox, John
2012-01-01
Objectives The cancer multidisciplinary team (MDT) meeting (MDM) is regarded as the best platform to reduce unwarranted variation in cancer care through evidence-compliant management. However, MDMs are often overburdened with many different agendas and hence struggle to achieve their full potential. The authors developed an interactive clinical decision support system called MATE (Multidisciplinary meeting Assistant and Treatment sElector) to facilitate explicit evidence-based decision making in the breast MDMs. Design Audit study and a questionnaire survey. Setting Breast multidisciplinary unit in a large secondary care teaching hospital. Participants All members of the breast MDT at the Royal Free Hospital, London, were consulted during the process of MATE development and implementation. The emphasis was on acknowledging the clinical needs and practical constraints of the MDT and fitting the system around the team's workflow rather than the other way around. Delegates, who attended MATE workshop at the England Cancer Networks' Development Programme conference in March 2010, participated in the questionnaire survey. Outcome measures The measures included evidence-compliant care, measured by adherence to clinical practice guidelines, and promoting research, measured by the patient identification rate for ongoing clinical trials. Results MATE identified 61% more patients who were potentially eligible for recruitment into clinical trials than the MDT, and MATE recommendations demonstrated better concordance with clinical practice guideline than MDT recommendations (97% of MATE vs 93.2% of MDT; N=984). MATE is in routine use in breast MDMs at the Royal Free Hospital, London, and wider evaluations are being considered. Conclusions Sophisticated decision support systems can enhance the conduct of MDMs in a way that is acceptable to and valued by the clinical team. Further rigorous evaluations are required to examine cost-effectiveness and measure the impact on patient outcomes. The decision support technology used in MATE is generic and if found useful can be applied across medicine. PMID:22734113
Healey, Emma L; Main, Chris J; Ryan, Sarah; McHugh, Gretl A; Porcheret, Mark; Finney, Andrew G; Morden, Andrew; Dziedzic, Krysia S
2016-12-21
Despite a lack of service provision for people with osteoarthritis (OA), each year 1 in 5 of the general population consults a GP about a musculoskeletal condition such as OA. Consequently this may provide an opportunity for practice nurses to take an active role in helping patients manage their condition. A nurse led clinic for supporting patients with OA was developed for the MOSAICS study investigating how to implement the NICE 2014 OA Guideline core recommendations. This paper has two main objectives, firstly to provide an overview of the nurse-led OA clinic, and secondly to describe the development, key learning objectives, content and impact of the training to support its delivery. A training programme was developed and delivered to provide practice nurses with the knowledge and skill set needed to run the nurse-led OA clinic. The impact of the training programme on knowledge, confidence and OA management was evaluated using case report forms and pre and post training questionnaires. The pre-training questionnaire identified a gap between what practice nurses feel they can do and what they should be doing in line with NICE OA guidelines. Evaluation of the training suggests that it enabled practice nurses to feel more knowledgeable and confident in supporting patients to manage their OA and this was reflected in the clinical management patients received in the nurse-led OA clinics. A significant gap between what is recommended and what practice nurses feel they can currently provide in terms of OA management was evident. The development of a nurse training programme goes some way to develop a system in primary care for delivering the core recommendations by NICE. The cluster trial linked to this training was conducted from May 2012 through February 2014 by the Arthritis Research UK Primary Care Centre, Keele University, UK (Trial registration number ISRCTN06984617 ).
Developing a clinical trial unit to advance research in an academic institution.
Croghan, Ivana T; Viker, Steven D; Limper, Andrew H; Evans, Tamara K; Cornell, Alissa R; Ebbert, Jon O; Gertz, Morie A
2015-11-01
Research, clinical care, and education are the three cornerstones of academic health centers in the United States. The research climate has always been riddled with ebbs and flows, depending on funding availability. During a time of reduced funding, the number and scope of research studies have been reduced, and in some instances, a field of study has been eliminated. Recent reductions in the research funding landscape have led institutions to explore new ways to continue supporting research. Mayo Clinic in Rochester, MN has developed a clinical trial unit within the Department of Medicine, which provides shared resources for many researchers and serves as a solution for training and mentoring new investigators and study teams. By building on existing infrastructure and providing supplemental resources to existing research, the Department of Medicine clinical trial unit has evolved into an effective mechanism for conducting research. This article discusses the creation of a central unit to provide research support in clinical trials and presents the advantages, disadvantages, and required building blocks for such a unit. Copyright © 2015 Mayo Clinic. Published by Elsevier Inc. All rights reserved.
Hixson, Krista M; Allen, Alex N; Williams, Andrew S; McLeod, Tamara C Valovich
2017-11-01
Clinical Scenario: Mild traumatic brain injury, or concussion, has been associated with physical, cognitive, and emotional sequelae. Little is understood in regard to many characteristics, such as anxiety, and their effect on post-concussion symptoms. Is state anxiety, trait anxiety, or anxiety sensitivity a clinical predictor of symptoms in those presenting with mild traumatic brain injury or concussion? Summary of Key Findings: A literature search returned 3 possible studies; 3 studies met inclusion criteria and included. One study reported in athletes that greater social support was associated with decreased state-anxiety, lower state anxiety post-concussion was associated with increased social support, and that those with greater social support may experience reduced anxiety, regardless of injury type sustained. One study reported baseline trait anxiety in athletes was not significantly associated with post-concussion state anxiety, but that symptoms of depression at baseline was the strongest predictor for post-concussion state anxiety. Three studies reported that state and trait anxiety are not related to increased post-concussion symptom scores. One study reported that greater anxiety sensitivity is related to higher reported post-concussion symptom scores, which may manifest as somatic symptoms following concussion, and revealed that anxiety sensitivity may be a risk factor symptom development. Clinical Bottom Line: There is low-level to moderate evidence to support that anxiety sensitivity is linked to post-concussion symptoms. State and trait anxiety do not appear to be related to post-concussion symptoms alone. Post-concussion state anxiety may occur if post-concussion symptoms of depression are present or if baseline symptoms of depression are present. Better social support may improve state anxiety post-concussion. Strength of Recommendation: There is grade B evidence to support that state and trait anxiety are not risk factors for post-concussion symptom development. There is grade C evidence to support anxiety sensitivity as a risk factor for developing post-concussion symptoms.
Quality Control Specialist | Center for Cancer Research
Within the Leidos Biomedical Research Inc.’s Clinical Research Directorate, the Clinical Monitoring Research Program (CMRP) provides high-quality comprehensive and strategic operational support to the high-profile domestic and international clinical research initiatives of the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases (NIAID), Clinical Center (CC), National Institute of Heart, Lung and Blood Institute (NHLBI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Center for Advancing Translational Sciences (NCATS), National Institute of Neurological Disorders and Stroke (NINDS), and the National Institute of Mental Health (NIMH). Since its inception in 2001, CMRP’s ability to provide rapid responses, high-quality solutions, and to recruit and retain experts with a variety of backgrounds to meet the growing research portfolios of NCI, NIAID, CC, NHLBI, NIAMS, NCATS, NINDS, and NIMH has led to the considerable expansion of the program and its repertoire of support services. CMRP’s support services are strategically aligned with the program’s mission to provide comprehensive, dedicated support to assist National Institutes of Health researchers in providing the highest quality of clinical research in compliance with applicable regulations and guidelines, maintaining data integrity, and protecting human subjects. For the scientific advancement of clinical research, CMRP services include comprehensive clinical trials, regulatory, pharmacovigilance, protocol navigation and development, and programmatic and project management support for facilitating the conduct of 400+ Phase I, II, and III domestic and international trials on a yearly basis. These trials investigate the prevention, diagnosis, treatment of, and therapies for cancer, influenza, HIV, and other infectious diseases and viruses such as hepatitis C, tuberculosis, malaria, and Ebola virus; heart, lung, and blood diseases and conditions; parasitic infections; rheumatic and inflammatory diseases; and rare and neglected diseases. CMRP’s collaborative approach to clinical research and the expertise and dedication of staff to the continuation and success of the program’s mission has contributed to improving the overall standards of public health on a global scale. The Clinical Monitoring Research Program (CMRP) provides analytical experience to work on innovative T-cell therapy for cancer treatment, and responsible for development and execution of analytical assays for generation lot release assays and product CoAs in support of the National Cancer Institute’s (NCI’s), Center for Cancer Research (CCR), Surgery Branch (SB). KEY ROLES/RESPONSIBILITIES-THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL Collaborates on the development of templates and processes to enhance the performance of the program Provides organizational and document support including preparation of documents (spreadsheets, web pages, written narrative, meeting minutes) and timely communication with committee and working group members through email contact and websites Establishes, implements and maintains standardized processes and assess performance to make recommendations for improvement Prepares technical reports, abstracts, presentations and program correspondence concerning assigned projects through research and analysis of information relevant to government policy, regulations and other relevant data Monitors all assigned programs for compliance Facilitates communication through all levels of staff by functioning as a liaison between internal departments, senior management, and the customer Attends weekly meetings to discuss upcoming events, tasks, special projects and implementation plans Develops and implements procedures/programs to ensure effective and efficient business and operational processes Identifies potential bottlenecks in the upcoming development process and works with all team members and senior management to resolve them Analyzes and tracks initiatives and contracts Coordinates and reviews daily operations and logistics, including purchasing and shipping of miscellaneous equipment, lab and office supplies to ensure compliance with appropriate government regulations Aids in measuring, monitoring, problem solving, and reporting of research, operational and business issues Reviews operational requirements for development of or changes to staffing Perform all tasks associated with the manufacture of clinical product (vector or cell) Cross-trains on SOPs and procedures required to support both vector and cell production Follows batch records and SOPs Executes GMP runs in close collaboration with Process Development and Quality Assurance and Quality Control groups Assists in the development of SOPs, batch records, deviations and change controls Troubleshoots processing and equipment issues Participates in investigations regarding out of specifications/trend (OOS/OOT) results; addresses and manages deviations to manufacturing procedures
Kim, Heejun; Bian, Jiantao; Mostafa, Javed; Jonnalagadda, Siddhartha; Del Fiol, Guilherme
2016-01-01
Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort. Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov. Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information. Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians.
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.
Leung, Alexander A; Schiff, Gordon; Keohane, Carol; Amato, Mary; Simon, Steven R; Cadet, Bismarck; Coffey, Michael; Kaufman, Nathan; Zimlichman, Eyal; Seger, Diane L; Yoon, Catherine; Bates, David W
2013-10-01
Adverse drug events (ADEs) are common among hospitalized patients with renal impairment. To determine whether computerized physician order entry (CPOE) systems with clinical decision support capabilities reduce the frequency of renally related ADEs in hospitals. Quasi-experimental study of 1590 adult patients with renal impairment who were admitted to 5 community hospitals in Massachusetts from January 2005 to September 2010, preimplementation and postimplementation of CPOE. Varying levels of clinical decision support, ranging from basic CPOE only (sites 4 and 5), rudimentary clinical decision support (sites 1 and 2), and advanced clinical decision support (site 3). Primary outcome was the rate of preventable ADEs from nephrotoxic and/or renally cleared medications. Similarly, secondary outcomes were the rates of overall ADEs and potential ADEs. There was a 45% decrease in the rate of preventable ADEs following implementation (8.0/100 vs 4.4/100 admissions; P < 0.01), and the impact was related to the level of decision support. Basic CPOE was not associated with any significant benefit (4.6/100 vs 4.3/100 admissions; P = 0.87). There was a nonsignificant decrease in preventable ADEs with rudimentary clinical decision support (9.1/100 vs 6.4/100 admissions; P = 0.22). However, substantial reduction was seen with advanced clinical decision support (12.4/100 vs 0/100 admissions; P = 0.01). Despite these benefits, a significant increase in potential ADEs was found for all systems (55.5/100 vs 136.8/100 admissions; P < 0.01). Vendor-developed CPOE with advanced clinical decision support can reduce the occurrence of preventable ADEs but may be associated with an increase in potential ADEs. © 2013 Society of Hospital Medicine.
Brand, C; Lam, S K L; Roberts, C; Gorelik, A; Amatya, B; Smallwood, D; Russell, D
2009-06-01
There are delays in implementing evidence about effective therapy into clinical practice. Clinical indicators may support implementation of guideline recommendations. To develop and evaluate the short-term impact of a clinical indicator set for general medicine. A set of clinical process indicators was developed using a structured process. The indicator set was implemented between January 2006 and December 2006, using strategies based on evidence about effectiveness and local contextual factors. Evaluation included a structured survey of general medical staff to assess awareness and attitudes towards the programme and qualitative assessment of barriers to implementation. Impact on documentation of adherence to clinical indicators was assessed by auditing a random sample of medical records before (2003-2005) and after (2006) implementation. Clinical indicators were developed for the following areas: venous thromboembolism, cognition, chronic heart failure, chronic obstructive pulmonary disease, diabetes, low trauma fracture, patient written care plans. The programme was well supported and incurred little burden to staff. Implementation occurred largely as planned; however, documentation of adherence to clinical indicators was variable. There was a generally positive trend over time, but for most indicators this was independent of the implementation process and may have been influenced by other system improvement activities. Failure to demonstrate a significant impact during the pilot phase is likely to have been influenced by administrative factors, especially lack of an integrative data documentation and collection process. Successful implementation in phase two is likely to depend upon an effective data collection system integrated into usual care.
Rare disease registries: a call to action.
Lacaze, Paul; Millis, Nicole; Fookes, Megan; Zurynski, Yvonne; Jaffe, Adam; Bellgard, Matthew; Winship, Ingrid; McNeil, John; Bittles, Alan H
2017-09-01
When registries collect accurate clinical data over time, they can act as fundamental support structures for patients and their families and powerful cost-effective instruments to support clinical trials and translational research to improve quality of care, quality of life and survival. Registries are critical for rare diseases (RD) with low prevalence and propensity for variation in treatment and outcomes. Rare Voices Australia is leading a call for action to the research and clinical community to prioritise RD data collection and develop an integrated RD Registry strategy for Australia. Financial, operational and governance challenges exist for establishing and maintaining RD registries. As a multidisciplinary team whose interests converge on RD, we highlight the need for the establishment of an Australian RD Registry Alliance. This 'umbrella' organisation will: (i) bring together existing RD registries across Australia; (ii) establish National RD Registry Standards to support interoperability and cohesion across registries; (iii) develop strategies to attract sustainable funding from government and other sources to maximise the utility of existing RD registries and support the development of new RD registries. The most important role for the Alliance would be to use the RD registries for translational research to address current knowledge gaps about RD and to improve the care for the over 1.4 million Australians estimated to live with RD. © 2017 Royal Australasian College of Physicians.
Sinn, Chi-Ling Joanna; Jones, Aaron; McMullan, Janet Legge; Ackerman, Nancy; Curtin-Telegdi, Nancy; Eckel, Leslie; Hirdes, John P
2017-11-25
Personal support services enable many individuals to stay in their homes, but there are no standard ways to classify need for functional support in home and community care settings. The goal of this project was to develop an evidence-based clinical tool to inform service planning while allowing for flexibility in care coordinator judgment in response to patient and family circumstances. The sample included 128,169 Ontario home care patients assessed in 2013 and 25,800 Ontario community support clients assessed between 2014 and 2016. Independent variables were drawn from the Resident Assessment Instrument-Home Care and interRAI Community Health Assessment that are standardised, comprehensive, and fully compatible clinical assessments. Clinical expertise and regression analyses identified candidate variables that were entered into decision tree models. The primary dependent variable was the weekly hours of personal support calculated based on the record of billed services. The Personal Support Algorithm classified need for personal support into six groups with a 32-fold difference in average billed hours of personal support services between the highest and lowest group. The algorithm explained 30.8% of the variability in billed personal support services. Care coordinators and managers reported that the guidelines based on the algorithm classification were consistent with their clinical judgment and current practice. The Personal Support Algorithm provides a structured yet flexible decision-support framework that may facilitate a more transparent and equitable approach to the allocation of personal support services.
Development and evaluation of online evidence based guideline bank system.
Park, Myonghwa
2006-01-01
The purpose of this study was to develop and evaluate the online evidence-based nursing practice guideline bank system to support the best evidence-based decision in the clinical and community practice settings. The main homepage consisted of seven modules for introduction of site, EBN, guideline bank, guideline development, guideline review, related sites, and community. The major contents in the guidelines were purpose, developer, intended audience, method of development, target population, testing, knowledge components, and evaluation. Electronic versions of the guidelines were displayed by XML, PDF, and PDA versions. The system usability were evaluated by general users, guideline developers, and guideline reviewers on the web and the results showed high scores of satisfaction. This online evidence-based guideline bank system could support nurses' best and cost-effective clinical decision using the sharable standardized guidelines with education module of evidence based nursing.
Furberg, Robert D; Ortiz, Alexa M; Zulkiewicz, Brittany A; Hudson, Jordan P; Taylor, Olivia M; Lewis, Megan A
2016-06-27
Tablet-based health care interventions have the potential to encourage patient care in a timelier manner, allow physicians convenient access to patient records, and provide an improved method for patient education. However, along with the continued adoption of tablet technologies, there is a concomitant need to develop protocols focusing on the configuration, management, and maintenance of these devices within the health care setting to support the conduct of clinical research. Develop three protocols to support tablet configuration, tablet management, and tablet maintenance. The Configurator software, Tile technology, and current infection control recommendations were employed to develop three distinct protocols for tablet-based digital health interventions. Configurator is a mobile device management software specifically for iPhone operating system (iOS) devices. The capabilities and current applications of Configurator were reviewed and used to develop the protocol to support device configuration. Tile is a tracking tag associated with a free mobile app available for iOS and Android devices. The features associated with Tile were evaluated and used to develop the Tile protocol to support tablet management. Furthermore, current recommendations on preventing health care-related infections were reviewed to develop the infection control protocol to support tablet maintenance. This article provides three protocols: the Configurator protocol, the Tile protocol, and the infection control protocol. These protocols can help to ensure consistent implementation of tablet-based interventions, enhance fidelity when employing tablets for research purposes, and serve as a guide for tablet deployments within clinical settings.
Developing evidence-based physical therapy clinical practice guidelines.
Kaplan, Sandra L; Coulter, Colleen; Fetters, Linda
2013-01-01
Recommended strategies for developing evidence-based clinical practice guidelines (CPGs) are provided. The intent is that future CPGs developed with the support of the Section on Pediatrics of the American Physical Therapy Association would consistently follow similar developmental processes to yield consistent quality and presentation. Steps in the process of developing CPGs are outlined and resources are provided to assist CPG developers in carrying out their task. These recommended processes may also be useful to CPG developers representing organizations with similar structures, objectives, and resources.
Steitz, Bryan D; Weinberg, Stuart T; Danciu, Ioana; Unertl, Kim M
2016-01-01
Healthcare team members in emergency department contexts have used electronic whiteboard solutions to help manage operational workflow for many years. Ambulatory clinic settings have highly complex operational workflow, but are still limited in electronic assistance to communicate and coordinate work activities. To describe and discuss the design, implementation, use, and ongoing evolution of a coordination and collaboration tool supporting ambulatory clinic operational workflow at Vanderbilt University Medical Center (VUMC). The outpatient whiteboard tool was initially designed to support healthcare work related to an electronic chemotherapy order-entry application. After a highly successful initial implementation in an oncology context, a high demand emerged across the organization for the outpatient whiteboard implementation. Over the past 10 years, developers have followed an iterative user-centered design process to evolve the tool. The electronic outpatient whiteboard system supports 194 separate whiteboards and is accessed by over 2800 distinct users on a typical day. Clinics can configure their whiteboards to support unique workflow elements. Since initial release, features such as immunization clinical decision support have been integrated into the system, based on requests from end users. The success of the electronic outpatient whiteboard demonstrates the usefulness of an operational workflow tool within the ambulatory clinic setting. Operational workflow tools can play a significant role in supporting coordination, collaboration, and teamwork in ambulatory healthcare settings.
Phansalkar, S; Wright, A; Kuperman, G J; Vaida, A J; Bobb, A M; Jenders, R A; Payne, T H; Halamka, J; Bloomrosen, M; Bates, D W
2011-01-01
Clinical decision support (CDS) can improve safety, quality, and cost-effectiveness of patient care, especially when implemented in computerized provider order entry (CPOE) applications. Medication-related decision support logic forms a large component of the CDS logic in any CPOE system. However, organizations wishing to implement CDS must either purchase the computable clinical content or develop it themselves. Content provided by vendors does not always meet local expectations. Most organizations lack the resources to customize the clinical content and the expertise to implement it effectively. In this paper, we describe the recommendations of a national expert panel on two basic medication-related CDS areas, specifically, drug-drug interaction (DDI) checking and duplicate therapy checking. The goals of this study were to define a starter set of medication-related alerts that healthcare organizations can implement in their clinical information systems. We also draw on the experiences of diverse institutions to highlight the realities of implementing medication decision support. These findings represent the experiences of institutions with a long history in the domain of medication decision support, and the hope is that this guidance may improve the feasibility and efficiency CDS adoption across healthcare settings.
Physiotherapy clinical educators' perceptions of student fitness to practise.
Lo, Kristin; Curtis, Heather; Keating, Jennifer L; Bearman, Margaret
2017-01-17
Health professional students are expected to maintain Fitness to Practise (FTP) including clinical competence, professional behaviour and freedom from impairment (physical/mental health). FTP potentially affects students, clinicians and clients, yet the impact of supervising students across the spectrum of FTP issues remains relatively under-reported. This study describes clinical educators' perceptions of supporting students with FTP issues. Between November 2012 and January 2013 an online survey was emailed to physiotherapy clinical educators from 34 sites across eight health services in Australia. The self-developed survey contained both closed and open ended questions. Demographic data and Likert scale responses were summarised using descriptive statistics. The hypotheses that years of clinical experience increased clinical educator confidence and comfort in supporting specific student FTP issues were explored with correlational analysis. Open text questions were analysed based on thematic analysis. Sixty-one percent of the 79 respondents reported supervising one or more students with FTP issues. Observed FTP concerns were clinical competence (76%), mental health (51%), professional behaviour (47%) and physical health (36%). Clinicians considered 52% (95% CI 38-66) of these issues avoidable through early disclosure, student and clinician education, maximising student competency prior to commencing placements, and human resources. Clinicians were confident and comfortable supporting clinical competence, professional behaviour and physical health issues but not mental health issues. Experience significantly increased confidence to support all FTP issues but not comfort. Student FTP issues affects the clinical educator role with 83% (95% CI 75-92) of clinicians reporting that work satisfaction was affected due to time pressures, emotional impact, lack of appreciation of educator time, quality of care conflict and a mismatch in role perception. Educators also considered that FTP issues affect service delivery and impact on those seeking health care. Strategies to support student FTP have potential to positively impact on students, clinicians and clients. Collaboration between these stakeholders is required, particularly in supporting mental health. Universities are strategically placed to implement appropriate support such as communication support.
Comeau, Dawn L; Escoffery, Cam; Freedman, Ariela; Ziegler, Thomas R; Blumberg, Henry M
2017-01-01
A major impediment to improving the health of communities is the lack of qualified clinical and translational research (CTR) investigators. To address this workforce shortage, the National Institutes of Health (NIH) developed mechanisms to enhance the career development of CTR physician, PhD, and other doctoral junior faculty scientists including the CTR-focused K12 program and, subsequently, the KL2-mentored CTR career development program supported through the Clinical and Translational Science Awards (CTSAs). Our evaluation explores the impact of the K12/KL2 program embedded within the Atlanta Clinical and Translational Science Institute (ACTSI), a consortium linking Emory University, Morehouse School of Medicine and the Georgia Institute of Technology. We conducted qualitative interviews with program participants to evaluate the impact of the program on career development and collected data on traditional metrics (number of grants, publications). 46 combined K12/KL2 scholars were supported between 2002 and 2016. 30 (65%) of the 46 K12/KL2 scholars are women; 24 (52%) of the trainees are minorities, including 10 (22%) scholars who are members of an underrepresented minority group. Scholars reported increased research skills, strong mentorship experiences, and positive impact on their career trajectory. Among the 43 scholars who have completed the program, 39 (91%) remain engaged in CTR and received over $89 000 000 as principal investigators on federally funded awards. The K12/KL2 funding provided the training and protected time for successful career development of CTR scientists. These data highlight the need for continued support for CTR training programs for junior faculty. PMID:27591319
Tsai, Jack; Desai, Rani A; Rosenheck, Robert A
2012-04-01
Reducing dependency on professionals and social integration has been a major goal of recovery-oriented mental health services. This cross-sectional study examined 531 male outpatients at three public mental health centers in Southern Connecticut. Hierarchical multiple regression analyses were conducted to answer: (1) Do clients who have more severe clinical problems rely more on professional support and mental health services, and rely less on natural supports? (2) Do clients who have greater natural supports rely less on professional support and mental health services? Results found clients with more severe clinical problems do not rely more on professional support and report less natural social support. Natural support was also found to be a complement, rather than a substitute for professional support. These findings suggest the social integration of male clients with severe mental illness may include being more connected to mental health providers even as they develop increasing natural supports.
The Influence of Big (Clinical) Data and Genomics on Precision Medicine and Drug Development.
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.
Piette, J D
1997-01-01
The purpose of this study is twofold. First, it provides a review of the literature supporting the development of a new service to help patients with diabetes and their providers manage their care. This service, automated voice messaging (AVM) with nurse follow-up, allows for systematic and intensive patient monitoring and diabetes education as well as a means of focusing clinical resources where they are most needed. Second, it provides a description of a prototype AVM-based diabetes management service that has been developed as part of two ongoing, randomized, controlled trials to test the efficacy of AVM care for patients with Type 2 diabetes. Preliminary findings from implementing this service in two large public healthcare systems suggest that AVM-supported care is feasible, desirable by clinicians and patients with diabetes, and may identify serious health problems that otherwise would go unnoted through standard means of clinic-based patient care.
Owens, Rhoda A
This study explored two-year institution part-time nurse faculty's perceptions of their experiences during their role transitions from nurses in clinical practice to part-time clinical instructors. Part-time nurse faculty enter academia as expert clinicians, but most have little or no training in the pedagogy of effective student learning. A phenomenological study was used to explore the faculty role transition experiences. Findings support the proposition that six participants transitioned from their expert clinician to instructor identities; however, two continue in the process. Critical to this process are relationships with individuals in their environments, past and present experiences, the incentive to learn to be better instructors, and the importance of support and training. A model emerged, Process of Role Transition and Professional Identity Formation for Part-Time Clinical Instructors at Two-Year Institutions, that is potentially useful for administrators in developing individualized orientation and professional development programs.
2012-01-01
Objectives This study demonstrates the feasibility of using expert system shells for rapid clinical decision support module development. Methods A readily available expert system shell was used to build a simple rule-based system for the crude diagnosis of vaginal discharge. Pictures and 'canned text explanations' are extensively used throughout the program to enhance its intuitiveness and educational dimension. All the steps involved in developing the system are documented. Results The system runs under Microsoft Windows and is available as a free download at http://healthcybermap.org/vagdisch.zip (the distribution archive includes both the program's executable and the commented knowledge base source as a text document). The limitations of the demonstration system, such as the lack of provisions for assessing uncertainty or various degrees of severity of a sign or symptom, are discussed in detail. Ways of improving the system, such as porting it to the Web and packaging it as an app for smartphones and tablets, are also presented. Conclusions An easy-to-use expert system shell enables clinicians to rapidly become their own 'knowledge engineers' and develop concise evidence-based decision support modules of simple to moderate complexity, targeting clinical practitioners, medical and nursing students, as well as patients, their lay carers and the general public (where appropriate). In the spirit of the social Web, it is hoped that an online repository can be created to peer review, share and re-use knowledge base modules covering various clinical problems and algorithms, as a service to the clinical community. PMID:23346475
Orthotic Body-Weight Support Through Underactuated Potential Energy Shaping with Contact Constraints
Lv, Ge; Gregg, Robert D.
2015-01-01
Body-weight support is an effective clinical tool for gait rehabilitation after neurological impairment. Body-weight supported training systems have been developed to help patients regain mobility and confidence during walking, but conventional systems constrain the patient's treatment in clinical environments. We propose that this challenge could be addressed by virtually providing patients with body-weight support through the actuators of a powered orthosis (or exoskeleton) utilizing potential energy shaping control. However, the changing contact conditions and degrees of underactuation encountered during human walking present significant challenges to consistently matching a desired potential energy for the human in closed loop. We therefore introduce a generalized matching condition for shaping Lagrangian systems with holonomic contact constraints. By satisfying this matching condition for four phases of gait, we derive control laws to achieve virtual body-weight support through a powered knee-ankle orthosis. We demonstrate beneficial effects of virtual body-weight support in simulations of a human-like biped model, indicating the potential clinical value of this proposed control approach. PMID:26900254
Designing and implementing a trust-wide quality assurance programme.
Coope, Sally-Ann
2018-04-02
Derbyshire Community Health Services (DCHS) NHS Foundation Trust provides a wide range of community-based health services. After the Care Quality Commission (CQC) found gaps in the trust's assurance process, its board decided to develop a method of continuous quality improvements that could be used as a basis for the trust's quality assurance system. The trust adapted and built on an acute model so it was suitable for community services. The final assurance system, Quality Always, has four elements: the clinical assessment and accreditation scheme; leadership development; 'champions' within clinical teams to support and promote the scheme; and dashboards to record and monitor progress. A system to recognise and reward achievement was essential for success. Quality Always has resulted in better care quality, an improved CQC rating, a sense of achievement among staff, the development of support networks, learning (especially among support staff) and good practice being shared.
Audio teleconferencing: creative use of a forgotten innovation.
Mather, Carey; Marlow, Annette
2012-06-01
As part of a regional School of Nursing and Midwifery's commitment to addressing recruitment and retention issues, approximately 90% of second year undergraduate student nurses undertake clinical placements at: multipurpose centres; regional or district hospitals; aged care; or community centres based in rural and remote regions within the State. The remaining 10% undertake professional experience placement in urban areas only. This placement of a large cohort of students, in low numbers in a variety of clinical settings, initiated the need to provide consistent support to both students and staff at these facilities. Subsequently the development of an audio teleconferencing model of clinical facilitation to guide student teaching and learning and to provide support to registered nurse preceptors in clinical practice was developed. This paper draws on Weimer's 'Personal Accounts of Change' approach to describe, discuss and evaluate the modifications that have occurred since the inception of this audio teleconferencing model (Weimer, 2006).
ERIC Educational Resources Information Center
Chamberland, Martine; Mamede, Sílvia; St-Onge, Christina; Setrakian, Jean; Schmidt, Henk G.
2015-01-01
Educational strategies that promote the development of clinical reasoning in students remain scarce. Generating self-explanations (SE) engages students in active learning and has shown to be an effective technique to improve clinical reasoning in clerks. Example-based learning has been shown to support the development of accurate knowledge…
Interventions to Modify Health Care Provider Adherence to Asthma Guidelines: A Systematic Review
Okelo, Sande O.; Butz, Arlene M.; Sharma, Ritu; Diette, Gregory B.; Pitts, Samantha I.; King, Tracy M.; Linn, Shauna T.; Reuben, Manisha; Chelladurai, Yohalakshmi
2013-01-01
BACKGROUND AND OBJECTIVE: Health care provider adherence to asthma guidelines is poor. The objective of this study was to assess the effect of interventions to improve health care providers’ adherence to asthma guidelines on health care process and clinical outcomes. METHODS: Data sources included Medline, Embase, Cochrane CENTRAL Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, PsycINFO, and Research and Development Resource Base in Continuing Medical Education up to July 2012. Paired investigators independently assessed study eligibility. Investigators abstracted data sequentially and independently graded the evidence. RESULTS: Sixty-eight eligible studies were classified by intervention: decision support, organizational change, feedback and audit, clinical pharmacy support, education only, quality improvement/pay-for-performance, multicomponent, and information only. Half were randomized trials (n = 35). There was moderate evidence for increased prescriptions of controller medications for decision support, feedback and audit, and clinical pharmacy support and low-grade evidence for organizational change and multicomponent interventions. Moderate evidence supports the use of decision support and clinical pharmacy interventions to increase provision of patient self-education/asthma action plans. Moderate evidence supports use of decision support tools to reduce emergency department visits, and low-grade evidence suggests there is no benefit for this outcome with organizational change, education only, and quality improvement/pay-for-performance. CONCLUSIONS: Decision support tools, feedback and audit, and clinical pharmacy support were most likely to improve provider adherence to asthma guidelines, as measured through health care process outcomes. There is a need to evaluate health care provider-targeted interventions with standardized outcomes. PMID:23979092
The Integrated Medical Model: A Decision Support Tool for In-flight Crew Health Care
NASA Technical Reports Server (NTRS)
Butler, Doug
2009-01-01
This viewgraph presentation reviews the development of an Integrated Medical Model (IMM) decision support tool for in-flight crew health care safety. Clinical methods, resources, and case scenarios are also addressed.
Huser, Vojtech; Sincan, Murat; Cimino, James J
2014-01-01
Personalized medicine, the ability to tailor diagnostic and treatment decisions for individual patients, is seen as the evolution of modern medicine. We characterize here the informatics resources available today or envisioned in the near future that can support clinical interpretation of genomic test results. We assume a clinical sequencing scenario (germline whole-exome sequencing) in which a clinical specialist, such as an endocrinologist, needs to tailor patient management decisions within his or her specialty (targeted findings) but relies on a genetic counselor to interpret off-target incidental findings. We characterize the genomic input data and list various types of knowledge bases that provide genomic knowledge for generating clinical decision support. We highlight the need for patient-level databases with detailed lifelong phenotype content in addition to genotype data and provide a list of recommendations for personalized medicine knowledge bases and databases. We conclude that no single knowledge base can currently support all aspects of personalized recommendations and that consolidation of several current resources into larger, more dynamic and collaborative knowledge bases may offer a future path forward.
Huser, Vojtech; Sincan, Murat; Cimino, James J
2014-01-01
Personalized medicine, the ability to tailor diagnostic and treatment decisions for individual patients, is seen as the evolution of modern medicine. We characterize here the informatics resources available today or envisioned in the near future that can support clinical interpretation of genomic test results. We assume a clinical sequencing scenario (germline whole-exome sequencing) in which a clinical specialist, such as an endocrinologist, needs to tailor patient management decisions within his or her specialty (targeted findings) but relies on a genetic counselor to interpret off-target incidental findings. We characterize the genomic input data and list various types of knowledge bases that provide genomic knowledge for generating clinical decision support. We highlight the need for patient-level databases with detailed lifelong phenotype content in addition to genotype data and provide a list of recommendations for personalized medicine knowledge bases and databases. We conclude that no single knowledge base can currently support all aspects of personalized recommendations and that consolidation of several current resources into larger, more dynamic and collaborative knowledge bases may offer a future path forward. PMID:25276091
Corbie-Smith, Giselle; Odeneye, Ebun; Banks, Bahby; Miles, Margaret Shandor; Isler, Malika Roman
2013-01-01
Minorities are disproportionately affected by HIV/AIDS in the rural Southeast; therefore, it is important to develop targeted, culturally appropriate interventions to support rural minority participation in HIV/AIDS research. Using Intervention Mapping, we developed a comprehensive multilevel intervention for service providers (SPs) and people living with HIV/AIDS (PLWHA). We collected data from both groups through 11 focus groups and 35 individual interviews. Resultant data were used to develop matrices of behavioral outcomes, performance objectives and learning objectives. Each performance objective was mapped with changeable, theory-based determinants to inform components of the intervention. Behavioral outcomes for the intervention included: (a) Eligible PLWHA will enroll in clinical trials; and (b) SPs will refer eligible PLWHA to clinical trials. The ensuing intervention consists of four SPs and six PLWHA educational sessions. Its contents, methods and strategies were grounded in the theory of reasoned action, social cognitive theory, and the concept of social support. All materials were pretested and refined for content appropriateness and effectiveness. PMID:22991051
Boyer, Susan A; Mann-Salinas, Elizabeth A; Valdez-Delgado, Krystal K
The clinical transition framework (CTF) is a competency-based practice development system used by nursing professional development practitioners to support nurses' initial orientation or transition to a new specialty. The CTF is applicable for both new graduate and proficient nurses. The current framework and tools evolved from 18 years of performance improvement and research projects engaged in both acute and community care environments in urban and rural settings. This article shares core CTF concepts, a description of coaching plans, and a professional accountability statement as experienced within the framework.
Transforming medical imaging applications into collaborative PACS-based telemedical systems
NASA Astrophysics Data System (ADS)
Maani, Rouzbeh; Camorlinga, Sergio; Arnason, Neil
2011-03-01
Telemedical systems are not practical for use in a clinical workflow unless they are able to communicate with the Picture Archiving and Communications System (PACS). On the other hand, there are many medical imaging applications that are not developed as telemedical systems. Some medical imaging applications do not support collaboration and some do not communicate with the PACS and therefore limit their usability in clinical workflows. This paper presents a general architecture based on a three-tier architecture model. The architecture and the components developed within it, transform medical imaging applications into collaborative PACS-based telemedical systems. As a result, current medical imaging applications that are not telemedical, not supporting collaboration, and not communicating with PACS, can be enhanced to support collaboration among a group of physicians, be accessed remotely, and be clinically useful. The main advantage of the proposed architecture is that it does not impose any modification to the current medical imaging applications and does not make any assumptions about the underlying architecture or operating system.
The role of the nurse lecturer in clinical practice in the Republic of Ireland.
McSharry, Edel; McGloin, Helen; Frizzell, Anne Marie; Winters-O'Donnell, Lisa
2010-07-01
Undergraduate nurse education in Ireland transferred into the third level sector in 2002. As a result nurse lecturers are expected to develop a model of clinical practice that enables them to be involved in practice and its development while maintaining their own nursing expertise and credibility [An Bord Altranais, 2005. Requirements and Standards for Nurse Registration Education Programmes, third ed. An Bord Altranais, Dublin]. In light of this the researchers set out to explore the perceptions of the nurse lecturers' role in clinical practice among nurse lecturers, preceptors, clinical nurse managers, clinical placement co-ordinators and students. A qualitative research design using focus groups was chosen. A purposive sampling strategy generated the sample for 5 in-depth focus group interviews with the aforementioned key stakeholders and the data was thematically analysed. Five themes emerged which centred on the maintenance of lecturers' clinical credibility, the lecturers' role as a resource to clinical staff, teaching and assessing students in practice, the value of fostering relationships in practice and role duplication. The findings from this study supports the anecdotal evidence that confusion exists around the role but more importantly it gives the nurse lecturer population guidance on how to develop the role in partnership with the various stakeholders in a way that supports the nursing students and clinical staff in practice in an effective manner. Copyright 2009 Elsevier Ltd. All rights reserved.
Implementing a sustainable clinical supervision model for Isles nurses in Orkney.
Hall, Ian
2018-03-02
The Isles Network of Care (INOC) community nurses work at the extreme of the remote and rural continuum, working mostly as lone practitioners. Following the development of sustainable clinical supervision model for Isles nurses in Orkney, clinical supervision was found to improve both peer support and governance for this group of isolated staff. A literature overview identified the transition of clinical supervision in general nursing over 24 years from 'carrot' to 'stick'. The study included a questionnaire survey that was sent to the 2017 Queen's Nursing Institute Scotland cohort to elicit information about the nurses' experience of clinical supervision. The survey found that 55% provide supervision and 40% receive it. Health board encouragement of its use was found to be disappointingly low at 40%. The INOC nurses were surveyed about the new peer-support (restorative) model, which relies on video-conference contact to allow face to face interaction between isolated isles nurses. Feedback prompted a review of clinical supervision pairings, and the frequency and methods of meeting. The need for supervisor training led to agreement with the Remote and Rural Health Education Alliance to provide relevant support. The perceived benefits of supervision included increased support and reflection, and improved relationships with isolated colleagues.
Multi-level assessment protocol (MAP) for adoption in multi-site clinical trials
Guydish, J.; Manser, S.T.; Jessup, M.; Tajima, B.; Sears, C.; Montini, T.
2010-01-01
The National Institute on Drug Abuse (NIDA) Clinical Trials Network (CTN) is intended to test promising drug abuse treatment models in multi-site clinical trials, and to support adoption of new interventions into clinical practice. Using qualitative research methods we asked: How might the technology of multi-site clinical trials be modified to better support adoption of tested interventions? A total of 42 participants, representing 8 organizational levels ranging from clinic staff to clinical trial leaders, were interviewed about their role in the clinical trial, its interactions with clinics, and intervention adoption. Among eight clinics participating in the clinical trial, we found adoption of the tested intervention in one clinic only. In analysis of interview data we identified four conceptual themes which are likely to affect adoption and may be informative in future multi-site clinical trials. We offer the conclusion that planning for adoption in the early stages of protocol development will better serve the aim of integrating new interventions into practice. PMID:20890376
Trivedi, Madhukar H; Daly, Ella J
2007-05-01
Despite years of antidepressant drug development and patient and provider education, suboptimal medication dosing and duration of exposure resulting in incomplete remission of symptoms remains the norm in the treatment of depression. Additionally, since no one treatment is effective for all patients, optimal implementation focusing on the measurement of symptoms, side effects, and function is essential to determine effective sequential treatment approaches. There is a need for a paradigm shift in how clinical decision making is incorporated into clinical practice and for a move away from the trial-and-error approach that currently determines the "next best" treatment. This paper describes how our experience with the Texas Medication Algorithm Project (TMAP) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial has confirmed the need for easy-to-use clinical support systems to ensure fidelity to guidelines. To further enhance guideline fidelity, we have developed an electronic decision support system that provides critical feedback and guidance at the point of patient care. We believe that a measurement-based care (MBC) approach is essential to any decision support system, allowing physicians to individualize and adapt decisions about patient care based on symptom progress, tolerability of medication, and dose optimization. We also believe that successful integration of sequential algorithms with MBC into real-world clinics will facilitate change that will endure and improve patient outcomes. Although we use major depression to illustrate our approach, the issues addressed are applicable to other chronic psychiatric conditions including comorbid depression and substance use disorder as well as other medical illnesses.
Trivedi, Madhukar H.; Daly, Ella J.
2009-01-01
Despite years of antidepressant drug development and patient and provider education, suboptimal medication dosing and duration of exposure resulting in incomplete remission of symptoms remains the norm in the treatment of depression. Additionally, since no one treatment is effective for all patients, optimal implementation focusing on the measurement of symptoms, side effects, and function is essential to determine effective sequential treatment approaches. There is a need for a paradigm shift in how clinical decision making is incorporated into clinical practice and for a move away from the trial-and-error approach that currently determines the “next best” treatment. This paper describes how our experience with the Texas Medication Algorithm Project (TMAP) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial has confirmed the need for easy-to-use clinical support systems to ensure fidelity to guidelines. To further enhance guideline fidelity, we have developed an electronic decision support system that provides critical feedback and guidance at the point of patient care. We believe that a measurement-based care (MBC) approach is essential to any decision support system, allowing physicians to individualize and adapt decisions about patient care based on symptom progress, tolerability of medication, and dose optimization. We also believe that successful integration of sequential algorithms with MBC into real-world clinics will facilitate change that will endure and improve patient outcomes. Although we use major depression to illustrate our approach, the issues addressed are applicable to other chronic psychiatric conditions including comorbid depression and substance use disorder as well as other medical illnesses. PMID:17320312
Simmons, Collan; Nyhof-Young, Joyce; Bradley, John
2005-05-24
Learning how to conduct a medical interview and perform a physical examination is fundamental to the practice of medicine; however, when this project began, the methods used to teach these skills to medical students at the University of Toronto (U of T) had not changed significantly since the early 1990s despite increasing outpatient care, shorter hospital stays, and heavy preceptor workloads. In response, a Web-based clinical skills resource was developed for the first-year undergraduate medical course-The Art and Science of Clinical Medicine I (ASCM I). This paper examines our experiences with the development of the ASCM I website and details the challenges and motivators inherent in the production of a Web-based, multimedia medical education tool at a large Canadian medical school. Interviews and a focus group were conducted with the development team to discover the factors that positively and negatively affected the development process. Motivating factors included team attributes such as strong leadership and judicious use of medical students and faculty volunteers as developers. Other motivators included a growing lack of instructional equivalency across diverse clinical teaching sites and financial and resource support by the Faculty of Medicine. Barriers to development included an administrative environment that did not yet fully incorporate information technology into its teaching vision and framework, a lack of academic incentive for faculty participation, and inadequate technical support, space, and equipment. The success of electronic educational resources such as the ASCM I website has caused a significant cultural shift within the Faculty of Medicine, resulting in the provision of more space, resources, and support for IT endeavours in the undergraduate medical curriculum.
Hinderer, Marc; Boeker, Martin; Wagner, Sebastian A; Lablans, Martin; Newe, Stephanie; Hülsemann, Jan L; Neumaier, Michael; Binder, Harald; Renz, Harald; Acker, Till; Prokosch, Hans-Ulrich; Sedlmayr, Martin
2017-06-06
Pharmacogenomic clinical decision support systems (CDSS) have the potential to help overcome some of the barriers for translating pharmacogenomic knowledge into clinical routine. Before developing a prototype it is crucial for developers to know which pharmacogenomic CDSS features and user-system interactions have yet been developed, implemented and tested in previous pharmacogenomic CDSS efforts and if they have been successfully applied. We address this issue by providing an overview of the designs of user-system interactions of recently developed pharmacogenomic CDSS. We searched PubMed for pharmacogenomic CDSS published between January 1, 2012 and November 15, 2016. Thirty-two out of 118 identified articles were summarized and included in the final analysis. We then compared the designs of user-system interactions of the 20 pharmacogenomic CDSS we had identified. Alerts are the most widespread tools for physician-system interactions, but need to be implemented carefully to prevent alert fatigue and avoid liabilities. Pharmacogenomic test results and override reasons stored in the local EHR might help communicate pharmacogenomic information to other internal care providers. Integrating patients into user-system interactions through patient letters and online portals might be crucial for transferring pharmacogenomic data to external health care providers. Inbox messages inform physicians about new pharmacogenomic test results and enable them to request pharmacogenomic consultations. Search engines enable physicians to compare medical treatment options based on a patient's genotype. Within the last 5 years, several pharmacogenomic CDSS have been developed. However, most of the included articles are solely describing prototypes of pharmacogenomic CDSS rather than evaluating them. To support the development of prototypes further evaluation efforts will be necessary. In the future, pharmacogenomic CDSS will likely include prediction models to identify patients who are suitable for preemptive genotyping.
Fleisher, Linda; Ruggieri, Dominique G.; Miller, Suzanne M.; Manne, Sharon; Albrecht, Terrance; Buzaglo, Joanne; Collins, Michael A.; Katz, Michael; Kinzy, Tyler G.; Liu, Tasnuva; Manning, Cheri; Charap, Ellen Specker; Millard, Jennifer; Miller, Dawn M.; Poole, David; Raivitch, Stephanie; Roach, Nancy; Ross, Eric A.; Meropol, Neal J.
2014-01-01
Objective This article describes the rigorous development process and initial feedback of the PRE-ACT (Preparatory Education About Clinical Trials) web-based- intervention designed to improve preparation for decision making in cancer clinical trials. Methods The multi-step process included stakeholder input, formative research, user testing and feedback. Diverse teams (researchers, advocates and developers) participated including content refinement, identification of actors, and development of video scripts. Patient feedback was provided in the final production period and through a vanguard group (N = 100) from the randomized trial. Results Patients/advocates confirmed barriers to cancer clinical trial participation, including lack of awareness and knowledge, fear of side effects, logistical concerns, and mistrust. Patients indicated they liked the tool’s user-friendly nature, the organized and comprehensive presentation of the subject matter, and the clarity of the videos. Conclusion The development process serves as an example of operationalizing best practice approaches and highlights the value of a multi-disciplinary team to develop a theory-based, sophisticated tool that patients found useful in their decision making process. Practice implications Best practice approaches can be addressed and are important to ensure evidence-based tools that are of value to patients and supports the usefulness of a process map in the development of e-health tools. PMID:24813474
Mobile technology in clinical teaching.
Mackay, B J; Anderson, J; Harding, T
2017-01-01
Technology is having a profound effect on education in the 21st century and nurse educators are being challenged to integrate technological innovation to assist students in their learning. This paper reports a study on the introduction of smart mobile technology to support student learning in the clinical environment. In a climate of collaborative inquiry, clinical lecturers and two researchers from the same department carried out a project in three phases: formation, implementation and analysis. Following the formation phase, six clinical lecturers adopted iPads to support their clinical teaching (implementation phase). At this time they also kept reflective journals. In the analysis phase a thematic analysis of the data from the journals and from a focus group found both enabling and constraining factors influenced the use of iPads by clinical lecturers. The themes categorised as enablers were: resources and technology; and, management and technology support. Those identified as barriers or constraining factors were: clinical staff engagement; and lecturer experience with technology. Student engagement and learning, and connectivity were both enabling and constraining factors. This paper concludes that the use of a mobile device such as an iPad can enhance teaching in clinical settings but that in order for such devices to be successfully integrated into clinical teaching consideration needs to be given to professional development needs, adequate resourcing and technology support. Copyright © 2016 Elsevier Ltd. All rights reserved.
Open-source mobile digital platform for clinical trial data collection in low-resource settings.
van Dam, Joris; Omondi Onyango, Kevin; Midamba, Brian; Groosman, Nele; Hooper, Norman; Spector, Jonathan; Pillai, Goonaseelan Colin; Ogutu, Bernhards
2017-02-01
Governments, universities and pan-African research networks are building durable infrastructure and capabilities for biomedical research in Africa. This offers the opportunity to adopt from the outset innovative approaches and technologies that would be challenging to retrofit into fully established research infrastructures such as those regularly found in high-income countries. In this context we piloted the use of a novel mobile digital health platform, designed specifically for low-resource environments, to support high-quality data collection in a clinical research study. Our primary aim was to assess the feasibility of a using a mobile digital platform for clinical trial data collection in a low-resource setting. Secondarily, we sought to explore the potential benefits of such an approach. The investigative site was a research institute in Nairobi, Kenya. We integrated an open-source platform for mobile data collection commonly used in the developing world with an open-source, standard platform for electronic data capture in clinical trials. The integration was developed using common data standards (Clinical Data Interchange Standards Consortium (CDISC) Operational Data Model), maximising the potential to extend the approach to other platforms. The system was deployed in a pharmacokinetic study involving healthy human volunteers. The electronic data collection platform successfully supported conduct of the study. Multidisciplinary users reported high levels of satisfaction with the mobile application and highlighted substantial advantages when compared with traditional paper record systems. The new system also demonstrated a potential for expediting data quality review. This pilot study demonstrated the feasibility of using a mobile digital platform for clinical research data collection in low-resource settings. Sustainable scientific capabilities and infrastructure are essential to attract and support clinical research studies. Since many research structures in Africa are being developed anew, stakeholders should consider implementing innovative technologies and approaches.
Bouaud, J; Lamy, J-B
2013-01-01
To summarize excellent research and to select best papers published in 2012 in the field of computer-based decision support in healthcare. A bibliographic search focused on clinical decision support systems (CDSSs) and computer provider order entry was performed, followed by a double-blind literature review. The review process yielded six papers, illustrating various aspects of clinical decision support. The first paper is a systematic review of CDSS intervention trials in real settings, and considers different types of possible outcomes. It emphasizes the heterogeneity of studies and confirms that CDSSs can improve process measures but that evidence lacks for other types of outcomes, especially clinical or economic. Four other papers tackle the safety of drug prescribing and show that CDSSs can be efficient in reducing prescription errors. The sixth paper exemplifies the growing role of ontological resources which can be used for several applications including decision support. CDSS research has to be continuously developed and assessed. The wide variety of systems and of interventions limits the understanding of factors of success of CDSS implementations. A standardization in the characterization of CDSSs and of intervention trial reporting will help to overcome this obstacle.
2011-03-31
evidence based medicine into clinical practice. It will decrease costs and enable multiple stakeholders to work in an open content/source environment to exchange clinical content, develop and test technology and explore processes in applied CDS. Design: Comparative study between the KMR infrastructure and capabilities developed as an open source, vendor agnostic solution for aCPG execution within AHLTA and the current DoD/MHS standard evaluating: H1: An open source, open standard KMR and Clinical Decision Support Engine can enable organizations to share domain
Gomes, Lilian Cristiane; Coelho, Anna Claudia Martins; Gomides, Danielle Dos Santos; Foss-Freitas, Maria Cristina; Foss, Milton César; Pace, Ana Emilia
2017-08-01
This randomized controlled clinical trial aimed to evaluate the contribution of family social support to the clinical/metabolic control of people with type 2 diabetes mellitus. Diabetes mellitus is a chronic disease that requires continuous care in order for individuals to reach glycemic control, the primordial goal of treatment. Family social support is essential to the development of care skills and their maintenance. However, there are few studies that investigate the contribution of family social support to diabetes control. The study was developed between June 2011 and May 2013, and included 164 people who were randomized using simple randomization. The intervention group differed from the control group in that it included a family caregiver, who was recognized by the patient as a source of social support. The educational interventions received by people with diabetes mellitus were used as the basis of the education provided through telephone calls to patients' family members and caregivers, and their purpose was to encourage dialogue between the patients and their relatives about the topics related to diabetes. Regarding the clinical impact, the results showed that there was a greater reduction in blood pressure and glycated hemoglobin in the intervention group than in the control group, showing a positive effect on the control of the disease. Families should be incorporated into the care of people with diabetes mellitus and especially in health care programs, in particular those that can promote different forms of social support to strengthen the bond between family members. Copyright © 2017 Elsevier Inc. All rights reserved.
Jabbour, Mona; Curran, Janet; Scott, Shannon D; Guttman, Astrid; Rotter, Thomas; Ducharme, Francine M; Lougheed, M Diane; McNaughton-Filion, M Louise; Newton, Amanda; Shafir, Mark; Paprica, Alison; Klassen, Terry; Taljaard, Monica; Grimshaw, Jeremy; Johnson, David W
2013-05-22
The clinical pathway is a tool that operationalizes best evidence recommendations and clinical practice guidelines in an accessible format for 'point of care' management by multidisciplinary health teams in hospital settings. While high-quality, expert-developed clinical pathways have many potential benefits, their impact has been limited by variable implementation strategies and suboptimal research designs. Best strategies for implementing pathways into hospital settings remain unknown. This study will seek to develop and comprehensively evaluate best strategies for effective local implementation of externally developed expert clinical pathways. We will develop a theory-based and knowledge user-informed intervention strategy to implement two pediatric clinical pathways: asthma and gastroenteritis. Using a balanced incomplete block design, we will randomize 16 community emergency departments to receive the intervention for one clinical pathway and serve as control for the alternate clinical pathway, thus conducting two cluster randomized controlled trials to evaluate this implementation intervention. A minimization procedure will be used to randomize sites. Intervention sites will receive a tailored strategy to support full clinical pathway implementation. We will evaluate implementation strategy effectiveness through measurement of relevant process and clinical outcomes. The primary process outcome will be the presence of an appropriately completed clinical pathway on the chart for relevant patients. Primary clinical outcomes for each clinical pathway include the following: Asthma--the proportion of asthmatic patients treated appropriately with corticosteroids in the emergency department and at discharge; and Gastroenteritis--the proportion of relevant patients appropriately treated with oral rehydration therapy. Data sources include chart audits, administrative databases, environmental scans, and qualitative interviews. We will also conduct an overall process evaluation to assess the implementation strategy and an economic analysis to evaluate implementation costs and benefits. This study will contribute to the body of evidence supporting effective strategies for clinical pathway implementation, and ultimately reducing the research to practice gaps by operationalizing best evidence care recommendations through effective use of clinical pathways. ClinicalTrials.gov: NCT01815710.
Peer learning partnerships: exploring the experience of pre-registration nursing students.
Christiansen, Angela; Bell, Amelia
2010-03-01
This paper explores the impact of a peer learning initiative developed to facilitate, purposefully, mutually supportive learning relationships between student nurses in the practice setting. Finding effective strategies to support learning in the practice setting has been the focus of professional concern for a considerable time. In the UK clinical mentorship is seen as pivotal to ensuring fitness to practice; however, recent debate on the nature of learning has revealed the clinical workplace as a rich learning environment where learning occurs not only through hierarchical relationships, but also from a network of peer relationships. Formalising peer relationships through peer assisted learning is increasingly suggested as a strategy to support workplace learning and support novice students' transition to the clinical setting. Despite the developing literature in this field there is limited understanding about how students experience facilitated peer relationships. An interpretive qualitative design. Focus group interviews were used to collect interactive and situated discourse from nursing students who had recently participated in peer learning partnerships (n = 54). Narrative data were analysed thematically. Findings suggest that active support from a fellow student reduced the feelings of social isolation experienced by novice students in initial clinical placements, helping them to deal more effectively with the challenges faced and reducing the factors that have an impact on attrition. In addition, the reciprocity of the peer learning partnerships facilitated understanding of mentorship and created a heightened sense of readiness for registration and professional practice. Peer learning partnerships facilitated by mentors in clinical practice can support the transition to nursing for first year students and can help more experienced students gain a confidence and a heightened readiness for mentorship and registered practice. Facilitated peer learning partnerships can enhance the student experience in the practice setting and can help maximise opportunities for learning and support. This suggests that peer assisted learning is a legitimate area for innovation and further research.
Evaluating online diagnostic decision support tools for the clinical setting.
Pryor, Marie; White, David; Potter, Bronwyn; Traill, Roger
2012-01-01
Clinical decision support tools available at the point of care are an effective adjunct to support clinicians to make clinical decisions and improve patient outcomes. We developed a methodology and applied it to evaluate commercially available online clinical diagnostic decision support (DDS) tools for use at the point of care. We identified 11 commercially available DDS tools and assessed these against an evaluation instrument that included 6 categories; general information, content, quality control, search, clinical results and other features. We developed diagnostically challenging clinical case scenarios based on real patient experience that were commonly missed by junior medical staff. The evaluation was divided into 2 phases; an initial evaluation of all identified and accessible DDS tools conducted by the Clinical Information Access Portal (CIAP) team and a second phase that further assessed the top 3 tools identified in the initial evaluation phase. An evaluation panel consisting of senior and junior medical clinicians from NSW Health conducted the second phase. Of the eleven tools that were assessed against the evaluation instrument only 4 tools completely met the DDS definition that was adopted for this evaluation and were able to produce a differential diagnosis. From the initial phase of the evaluation 4 DDS tools scored 70% or more (maximum score 96%) for the content category, 8 tools scored 65% or more (maximum 100%) for the quality control category, 5 tools scored 65% or more (maximum 94%) for the search category, and 4 tools score 70% or more (maximum 81%) for the clinical results category. The second phase of the evaluation was focused on assessing diagnostic accuracy for the top 3 tools identified in the initial phase. Best Practice ranked highest overall against the 6 clinical case scenarios used. Overall the differentiating factor between the top 3 DDS tools was determined by diagnostic accuracy ranking, ease of use and the confidence and credibility of the clinical information. The evaluation methodology used here to assess the quality and comprehensiveness of clinical DDS tools was effective in identifying the most appropriate tool for the clinical setting. The use of clinical case scenarios is fundamental in determining the diagnostic accuracy and usability of the tools.
Zarinabad, Niloufar; Meeus, Emma M; Manias, Karen; Foster, Katharine; Peet, Andrew
2018-05-02
Advances in magnetic resonance imaging and the introduction of clinical decision support systems has underlined the need for an analysis tool to extract and analyze relevant information from magnetic resonance imaging data to aid decision making, prevent errors, and enhance health care. The aim of this study was to design and develop a modular medical image region of interest analysis tool and repository (MIROR) for automatic processing, classification, evaluation, and representation of advanced magnetic resonance imaging data. The clinical decision support system was developed and evaluated for diffusion-weighted imaging of body tumors in children (cohort of 48 children, with 37 malignant and 11 benign tumors). Mevislab software and Python have been used for the development of MIROR. Regions of interests were drawn around benign and malignant body tumors on different diffusion parametric maps, and extracted information was used to discriminate the malignant tumors from benign tumors. Using MIROR, the various histogram parameters derived for each tumor case when compared with the information in the repository provided additional information for tumor characterization and facilitated the discrimination between benign and malignant tumors. Clinical decision support system cross-validation showed high sensitivity and specificity in discriminating between these tumor groups using histogram parameters. MIROR, as a diagnostic tool and repository, allowed the interpretation and analysis of magnetic resonance imaging images to be more accessible and comprehensive for clinicians. It aims to increase clinicians' skillset by introducing newer techniques and up-to-date findings to their repertoire and make information from previous cases available to aid decision making. The modular-based format of the tool allows integration of analyses that are not readily available clinically and streamlines the future developments. ©Niloufar Zarinabad, Emma M Meeus, Karen Manias, Katharine Foster, Andrew Peet. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 02.05.2018.
An integrative model for in-silico clinical-genomics discovery science.
Lussier, Yves A; Sarkar, Indra Nell; Cantor, Michael
2002-01-01
Human Genome discovery research has set the pace for Post-Genomic Discovery Research. While post-genomic fields focused at the molecular level are intensively pursued, little effort is being deployed in the later stages of molecular medicine discovery research, such as clinical-genomics. The objective of this study is to demonstrate the relevance and significance of integrating mainstream clinical informatics decision support systems to current bioinformatics genomic discovery science. This paper is a feasibility study of an original model enabling novel "in-silico" clinical-genomic discovery science and that demonstrates its feasibility. This model is designed to mediate queries among clinical and genomic knowledge bases with relevant bioinformatic analytic tools (e.g. gene clustering). Briefly, trait-disease-gene relationships were successfully illustrated using QMR, OMIM, SNOMED-RT, GeneCluster and TreeView. The analyses were visualized as two-dimensional dendrograms of clinical observations clustered around genes. To our knowledge, this is the first study using knowledge bases of clinical decision support systems for genomic discovery. Although this study is a proof of principle, it provides a framework for the development of clinical decision-support-system driven, high-throughput clinical-genomic technologies which could potentially unveil significant high-level functions of genes.
A Clinical Information Display System
Blum, Bruce J.; Lenhard, Raymond E.; Braine, Hayden; Kammer, Anne
1977-01-01
A clinical information display system has been implemented as part of a prototype Oncology Clinical Information System for the Johns Hopkins Oncology Center. The information system has been developed to support the management of patient therapy. Capabilities in the prototype include a patient data system, a patient abstract, a tumor registry, an appointment system, a census system, and a clinical information display system. This paper describes the clinical information display component of the prototype. It has the capability of supporting up to 10,000 patient records with online data entry and editing. At the present time, the system is being used only in the Oncology Center. There are plans, however, for trial use by other departments, and the system represents a tool with a potential for more general application.
Locatelli, Paolo; Baj, Emanuele; Restifo, Nicola; Origgi, Gianni; Bragagia, Silvia
2011-01-01
Open source is a still unexploited chance for healthcare organizations and technology providers to answer to a growing demand for innovation and to join economical benefits with a new way of managing hospital information systems. This chapter will present the case of the web enterprise clinical portal developed in Italy by Niguarda Hospital in Milan with the support of Fondazione Politecnico di Milano, to enable a paperless environment for clinical and administrative activities in the ward. This represents also one rare case of open source technology and reuse in the healthcare sector, as the system's porting is now taking place at Besta Neurological Institute in Milan. This institute is customizing the portal to feed researchers with structured clinical data collected in its portal's patient records, so that they can be analyzed, e.g., through business intelligence tools. Both organizational and clinical advantages are investigated, from process monitoring, to semantic data structuring, to recognition of common patterns in care processes.
Tenório, Josceli Maria; Hummel, Anderson Diniz; Cohrs, Frederico Molina; Sdepanian, Vera Lucia; Pisa, Ivan Torres; de Fátima Marin, Heimar
2013-01-01
Background Celiac disease (CD) is a difficult-to-diagnose condition because of its multiple clinical presentations and symptoms shared with other diseases. Gold-standard diagnostic confirmation of suspected CD is achieved by biopsying the small intestine. Objective To develop a clinical decision–support system (CDSS) integrated with an automated classifier to recognize CD cases, by selecting from experimental models developed using intelligence artificial techniques. Methods A web-based system was designed for constructing a retrospective database that included 178 clinical cases for training. Tests were run on 270 automated classifiers available in Weka 3.6.1 using five artificial intelligence techniques, namely decision trees, Bayesian inference, k-nearest neighbor algorithm, support vector machines and artificial neural networks. The parameters evaluated were accuracy, sensitivity, specificity and area under the ROC curve (AUC). AUC was used as a criterion for selecting the CDSS algorithm. A testing database was constructed including 38 clinical CD cases for CDSS evaluation. The diagnoses suggested by CDSS were compared with those made by physicians during patient consultations. Results The most accurate method during the training phase was the averaged one-dependence estimator (AODE) algorithm (a Bayesian classifier), which showed accuracy 80.0%, sensitivity 0.78, specificity 0.80 and AUC 0.84. This classifier was integrated into the web-based decision–support system. The gold-standard validation of CDSS achieved accuracy of 84.2% and k = 0.68 (p < 0.0001) with good agreement. The same accuracy was achieved in the comparison between the physician’s diagnostic impression and the gold standard k = 0. 64 (p < 0.0001). There was moderate agreement between the physician’s diagnostic impression and CDSS k = 0.46 (p = 0.0008). Conclusions The study results suggest that CDSS could be used to help in diagnosing CD, since the algorithm tested achieved excellent accuracy in differentiating possible positive from negative CD diagnoses. This study may contribute towards developing of a computer-assisted environment to support CD diagnosis. PMID:21917512
Tenório, Josceli Maria; Hummel, Anderson Diniz; Cohrs, Frederico Molina; Sdepanian, Vera Lucia; Pisa, Ivan Torres; de Fátima Marin, Heimar
2011-11-01
Celiac disease (CD) is a difficult-to-diagnose condition because of its multiple clinical presentations and symptoms shared with other diseases. Gold-standard diagnostic confirmation of suspected CD is achieved by biopsying the small intestine. To develop a clinical decision-support system (CDSS) integrated with an automated classifier to recognize CD cases, by selecting from experimental models developed using intelligence artificial techniques. A web-based system was designed for constructing a retrospective database that included 178 clinical cases for training. Tests were run on 270 automated classifiers available in Weka 3.6.1 using five artificial intelligence techniques, namely decision trees, Bayesian inference, k-nearest neighbor algorithm, support vector machines and artificial neural networks. The parameters evaluated were accuracy, sensitivity, specificity and area under the ROC curve (AUC). AUC was used as a criterion for selecting the CDSS algorithm. A testing database was constructed including 38 clinical CD cases for CDSS evaluation. The diagnoses suggested by CDSS were compared with those made by physicians during patient consultations. The most accurate method during the training phase was the averaged one-dependence estimator (AODE) algorithm (a Bayesian classifier), which showed accuracy 80.0%, sensitivity 0.78, specificity 0.80 and AUC 0.84. This classifier was integrated into the web-based decision-support system. The gold-standard validation of CDSS achieved accuracy of 84.2% and k=0.68 (p<0.0001) with good agreement. The same accuracy was achieved in the comparison between the physician's diagnostic impression and the gold standard k=0. 64 (p<0.0001). There was moderate agreement between the physician's diagnostic impression and CDSS k=0.46 (p=0.0008). The study results suggest that CDSS could be used to help in diagnosing CD, since the algorithm tested achieved excellent accuracy in differentiating possible positive from negative CD diagnoses. This study may contribute towards developing of a computer-assisted environment to support CD diagnosis. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Scheife, Richard T.; Hines, Lisa E.; Boyce, Richard D.; Chung, Sophie P.; Momper, Jeremiah; Sommer, Christine D.; Abernethy, Darrell R.; Horn, John; Sklar, Stephen J.; Wong, Samantha K.; Jones, Gretchen; Brown, Mary; Grizzle, Amy J.; Comes, Susan; Wilkins, Tricia Lee; Borst, Clarissa; Wittie, Michael A.; Rich, Alissa; Malone, Daniel C.
2015-01-01
Background Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. Objective To provide recommendations for systematic evaluation of evidence from the scientific literature, drug product labeling, and regulatory documents with respect to DDIs for clinical decision support. Methods A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 15 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. Results We developed expert-consensus answers to three key questions: 1) What is the best approach to evaluate DDI evidence?; 2) What evidence is required for a DDI to be applicable to an entire class of drugs?; and 3) How should a structured evaluation process be vetted and validated? Conclusion Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug information systems that implement these recommendations should be able to provide higher quality information about DDIs in drug compendia and clinical decision support tools. PMID:25556085
Designing clinically useful systems: examples from medicine and dentistry.
Koch, S
2003-12-01
Despite promising results in medical informatics research and the development of a large number of different systems, few systems get beyond a prototype state and are really used in practice. Among other factors, the lack of explicit user focus is one main reason. The research projects presented in this paper follow a user-centered system development approach based on extensive work analyses in interdisciplinary working groups, taking into account human cognitive performance. Different medical and health-care specialists, together with researchers in human-computer interaction and medical informatics, specify future clinical work scenarios. Special focus is put on analysis and design of the information and communication flow and on exploration of intuitive visualization and interaction techniques for clinical information. Adequate choice of the technical access device is made depending on the user's work situation. It is the purpose of this paper to apply this method in two different research projects and thereby to show its potential for designing clinically useful systems that do support and not hamper clinical work. These research projects cover IT support for chairside work in dentistry (http://www.dis.uu.se/mdi/research/projects/orquest) and ICT support for home health care of elderly citizens (http://www.medsci.uu.se/mie/project/closecare).
Karaa, Amel; Rahman, Shamima; Lombès, Anne; Yu-Wai-Man, Patrick; Sheikh, Muniza K; Alai-Hansen, Sherita; Cohen, Bruce H; Dimmock, David; Emrick, Lisa; Falk, Marni J; McCormack, Shana; Mirsky, David; Moore, Tony; Parikh, Sumit; Shoffner, John; Taivassalo, Tanja; Tarnopolsky, Mark; Tein, Ingrid; Odenkirchen, Joanne C; Goldstein, Amy
2017-05-01
The common data elements (CDE) project was developed by the National Institute of Neurological Disorders and Stroke (NINDS) to provide clinical researchers with tools to improve data quality and allow for harmonization of data collected in different research studies. CDEs have been created for several neurological diseases; the aim of this project was to develop CDEs specifically curated for mitochondrial disease (Mito) to enhance clinical research. Nine working groups (WGs), composed of international mitochondrial disease experts, provided recommendations for Mito clinical research. They initially reviewed existing NINDS CDEs and instruments, and developed new data elements or instruments when needed. Recommendations were organized, internally reviewed by the Mito WGs, and posted online for external public comment for a period of eight weeks. The final version was again reviewed by all WGs and the NINDS CDE team prior to posting for public use. The NINDS Mito CDEs and supporting documents are publicly available on the NINDS CDE website ( https://commondataelements.ninds.nih.gov/ ), organized into domain categories such as Participant/Subject Characteristics, Assessments, and Examinations. We developed a comprehensive set of CDE recommendations, data definitions, case report forms (CRFs), and guidelines for use in Mito clinical research. The widespread use of CDEs is intended to enhance Mito clinical research endeavors, including natural history studies, clinical trial design, and data sharing. Ongoing international collaboration will facilitate regular review, updates and online publication of Mito CDEs, and support improved consistency of data collection and reporting.
Protocol Coordinator | Center for Cancer Research
PROGRAM DESCRIPTION Within the Leidos Biomedical Research Inc.’s Clinical Research Directorate, the Clinical Monitoring Research Program (CMRP) provides high-quality comprehensive and strategic operational support to the high-profile domestic and international clinical research initiatives of the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases (NIAID), Clinical Center (CC), National Institute of Heart, Lung and Blood Institute (NHLBI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Center for Advancing Translational Sciences (NCATS), National Institute of Neurological Disorders and Stroke (NINDS), and the National Institute of Mental Health (NIMH). Since its inception in 2001, CMRP’s ability to provide rapid responses, high-quality solutions, and to recruit and retain experts with a variety of backgrounds to meet the growing research portfolios of NCI, NIAID, CC, NHLBI, NIAMS, NCATS, NINDS, and NIMH has led to the considerable expansion of the program and its repertoire of support services. CMRP’s support services are strategically aligned with the program’s mission to provide comprehensive, dedicated support to assist National Institutes of Health researchers in providing the highest quality of clinical research in compliance with applicable regulations and guidelines, maintaining data integrity, and protecting human subjects. For the scientific advancement of clinical research, CMRP services include comprehensive clinical trials, regulatory, pharmacovigilance, protocol navigation and development, and programmatic and project management support for facilitating the conduct of 400+ Phase I, II, and III domestic and international trials on a yearly basis. These trials investigate the prevention, diagnosis, treatment of, and therapies for cancer, influenza, HIV, and other infectious diseases and viruses such as hepatitis C, tuberculosis, malaria, and Ebola virus; heart, lung, and blood diseases and conditions; parasitic infections; rheumatic and inflammatory diseases; and rare and neglected diseases. CMRP’s collaborative approach to clinical research and the expertise and dedication of staff to the continuation and success of the program’s mission has contributed to improving the overall standards of public health on a global scale. The Clinical Monitoring Research Program (CMRP) provides comprehensive clinical and administrative support to the National Cancer Institute’s Center for Cancer Research’s (CCR) Protocol Support Office (PSO) for protocol development review, regulatory review, and the implementation process as well as oversees medical writing/editing, regulatory/ compliance, and protocol coordination/navigation and administration. KEY ROLES/RESPONSIBILITIES The Protocol Coordinator III: Provides programmatic and logistical support for the operations of clinical research for Phase I and Phase II clinical trials. Provides deployment of clinical support services for clinical research. Streamlines the protocol development timeline. Provides data and documents collection and compilation for regulatory filing with the U.S. Food and Drug Administration (FDA) and other regulatory authorities.. Provides technical review and report preparation. Provides administrative coordination and general logistical support for regulatory activities. Ensures the provision of training for investigators and associate staff to reinforce and enhance a Good Clinical Practices (GCP) culture. Oversees quality assurance and quality control, performs regulatory review of clinical protocols, informed consent and other clinical documents. Tracks and facilitates a portfolio of protocols through each process step (Institutional Review Board [IRB], Regulatory Affairs Compliance [RAC], Data Safety Monitoring Board [DSMB], Office of Protocol Services). Assists clinical investigators in preparing clinical research protocols, including writing and formatting consent forms. Prepares protocol packages for review and ensures that protocol packages include all of the required material and comply with CCR, NCI and NIH policies. Collaborates with investigators to resolve any protocol/data issues. Coordinates submission of protocols for scientific and ethical review by the Branch scientific review committees, the NCI IRB, and the clinical trial sponsor or the FDA. Monitors the review process and maintains detailed, complete and accurate records for each protocol of the approvals at the various stages of the review process, including new protocol submissions, amendments to protocols, and continuing reviews, as well as other submissions such as adverse events. Attends and prepares minutes for the Branch Protocol Review Committees. Contacts coordinators at other centers for protocols that are performed there to obtain review committee approvals at those centers, maintains records of these approvals and sends protocol amendments and other reports to the participating centers. Maintains a schedule of all review committee submission deadline dates and meeting dates. Assists clinical investigators in understanding and complying with the entire review process. Works closely with the NCI Protocol Review Office in establishing and maintaining a paperless automated document and tracking system for NCI protocols. Converts protocols from Word format to .pdf with bookmarks. Maintains the .pdf version of the most current approved version of each active clinical protocol on a central server. This position is located in Rockville, Maryland.
Kaddi, Chanchala D; Niesner, Bradley; Baek, Rena; Jasper, Paul; Pappas, John; Tolsma, John; Li, Jing; van Rijn, Zachary; Tao, Mengdi; Ortemann-Renon, Catherine; Easton, Rachael; Tan, Sharon; Puga, Ana Cristina; Schuchman, Edward H; Barrett, Jeffrey S; Azer, Karim
2018-06-19
Acid sphingomyelinase deficiency (ASMD) is a rare lysosomal storage disorder with heterogeneous clinical manifestations, including hepatosplenomegaly and infiltrative pulmonary disease, and is associated with significant morbidity and mortality. Olipudase alfa (recombinant human acid sphingomyelinase) is an enzyme replacement therapy under development for the non-neurological manifestations of ASMD. We present a quantitative systems pharmacology (QSP) model supporting the clinical development of olipudase alfa. The model is multiscale and mechanistic, linking the enzymatic deficiency driving the disease to molecular-level, cellular-level, and organ-level effects. Model development was informed by natural history, and preclinical and clinical studies. By considering patient-specific pharmacokinetic (PK) profiles and indicators of disease severity, the model describes pharmacodynamic (PD) and clinical end points for individual patients. The ASMD QSP model provides a platform for quantitatively assessing systemic pharmacological effects in adult and pediatric patients, and explaining variability within and across these patient populations, thereby supporting the extrapolation of treatment response from adults to pediatrics. © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.
Costello, Leslie C.; Franklin, Renty B.
2016-01-01
Introduction Efficacious chemotherapy does not exist for treatment or prevention of prostate, liver, and pancreatic carcinomas, and some other cancers that exhibit decreased zinc in malignancy. Zinc treatment offers a potential solution; but its support has been deterred by adverse bias. Areas covered 1. The clinical and experimental evidence for the common ZIP transporter/Zn down regulation in these cancers. 2. The evidence for a zinc approach to prevent and/or treat these carcinomas. 3. The issues that introduce bias against support for the zinc approach. Expert opinion ZIP/Zn downregulation is a clinically established common event in prostate, hepatocellular and pancreatic cancers. 2. Compelling evidence supports the plausibility that a zinc treatment regimen will prevent development of malignancy and termination of progressing malignancy in these cancers; and likely other carcinomas that exhibit decreased zinc. 3. Scientifically-unfounded issues that oppose this ZIP/Zn relationship have introduced bias against support for research and funding of a zinc treatment approach. 4. The clinically-established and supporting experimental evidence provide the scientific credibility that should dictate the support for research and funding of a zinc approach for the treatment and possible prevention of these cancers. 5. This is in the best interest of the medical community and the public-at-large. PMID:27885880
Pharmacogenomics to Revive Drug Development in Cardiovascular Disease.
Dubé, Marie-Pierre; de Denus, Simon; Tardif, Jean-Claude
2016-02-01
Investment in cardiovascular drug development is on the decline as large cardiovascular outcomes trials require considerable investments in time, efforts and financial resources. Pharmacogenomics has the potential to help revive the cardiovascular drug development pipeline by providing new and better drug targets at an earlier stage and by enabling more efficient outcomes trials. This article will review some of the recent developments highlighting the value of pharmacogenomics for drug development. We discuss how genetic biomarkers can enable the conduct of more efficient clinical outcomes trials by enriching patient populations for good responders to the medication. In addition, we assess past drug development programs which support the added value of selecting drug targets that have established genetic evidence supporting the targeted mechanism of disease. Finally, we discuss how pharmacogenomics can provide valuable evidence linking a drug target to clinically relevant outcomes, enabling novel drug discovery and drug repositioning opportunities.
Wallace, Andrea; Papke, Todd; Davisson, Erica; Spooner, Kara; Gassman, Laura
Despite over three decades of research linking social support and optimal health outcomes, social support is not systematically assessed or addressed during clinical care. This study sought input from health care providers to inform the design of an intervention intended to facilitate assessment of social support in a way that could aid in anticipatory planning during the process of hospital discharge. Using a purposive sampling strategy, data were collected from providers in two acute care settings serving rural patients, one academic and one community based. Opinions about what an assessment of social support would seek to accomplish, what is currently done and by whom, and the preferred format for delivery were elicited during a series of individual and group interviews. During phase two, feasibility was assessed with three inpatient nurses over 3 clinical days. Field notes were analyzed throughout the project using rapid data analysis techniques. Health care providers endorsed the creation of an assessment and stated that target users would include all members of the discharge team (e.g., clinical nurses, case managers, discharge coordinators, hospitalists, and specialty care). They identified the need for a patient-family resource (vs. a traditional provider-facing assessment). Participants stated that, although both the information collected and the interview process would meet a need to increase patient engagement in inpatient settings, competing clinical demands would require a tool that was easily completed by patients and family and seen as directly informing clinical activities. To this end, although focusing on the eventual development of an electronic tool seemed valuable, a hard-copy resource was considered more feasible for patient use at the present time. The preliminary test of the resulting hard-copy "Going Home Toolkit" demonstrated potential feasibility and usefulness during clinical practice. There is need for not only assessing patients' supportive networks during discharge planning, but to do so in a way that would facilitate directed communication between, and engagement with, team members, patients, and families. Especially in light of new legislation focusing on involvement of caregivers, a tool such as the "Going Home Toolkit" may facilitate important conversations about, and planning around, patients' supportive resources at home.
Duke, Jon D; Morea, Justin; Mamlin, Burke; Martin, Douglas K; Simonaitis, Linas; Takesue, Blaine Y; Dixon, Brian E; Dexter, Paul R
2014-03-01
Regenstrief Institute developed one of the seminal computerized order entry systems, the Medical Gopher, for implementation at Wishard Hospital nearly three decades ago. Wishard Hospital and Regenstrief remain committed to homegrown software development, and over the past 4 years we have fully rebuilt Gopher with an emphasis on usability, safety, leveraging open source technologies, and the advancement of biomedical informatics research. Our objective in this paper is to summarize the functionality of this new system and highlight its novel features. Applying a user-centered design process, the new Gopher was built upon a rich-internet application framework using an agile development process. The system incorporates order entry, clinical documentation, result viewing, decision support, and clinical workflow. We have customized its use for the outpatient, inpatient, and emergency department settings. The new Gopher is now in use by over 1100 users a day, including an average of 433 physicians caring for over 3600 patients daily. The system includes a wizard-like clinical workflow, dynamic multimedia alerts, and a familiar 'e-commerce'-based interface for order entry. Clinical documentation is enhanced by real-time natural language processing and data review is supported by a rapid chart search feature. As one of the few remaining academically developed order entry systems, the Gopher has been designed both to improve patient care and to support next-generation informatics research. It has achieved rapid adoption within our health system and suggests continued viability for homegrown systems in settings of close collaboration between developers and providers. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
Rider, Lisa G.; Dankó, Katalin; Miller, Frederick W.
2016-01-01
Purpose of review Clinical registries and biorepositories have proven extremely useful in many studies of diseases, especially rare diseases. Given their rarity and diversity, the idiopathic inflammatory myopathies, or myositis syndromes, have benefited from individual researchers’ collections of cohorts of patients. Major efforts are being made to establish large registries and biorepositories that will allow many additional studies to be performed that were not possible before. Here we describe the registries developed by investigators and patient support groups that are currently available for collaborative research purposes. Recent findings We have identified 46 myositis research registries, including many with biorepositories, which have been developed for a wide variety of purposes and have resulted in great advances in understanding the range of phenotypes, clinical presentations, risk factors, pathogenic mechanisms, outcome assessment, therapeutic responses, and prognoses. These are now available for collaborative use to undertake additional studies. Two myositis patient registries have been developed for research, and myositis patient support groups maintain demographic registries with large numbers of patients available to be contacted for potential research participation. Summary Investigator-initiated myositis research registries and biorepositories have proven extremely useful in understanding many aspects of these rare and diverse autoimmune diseases. These registries and biorepositories, in addition to those developed by myositis patient support groups, deserve continued support to maintain the momentum in this field as they offer major opportunities to improve understanding of the pathogenesis and treatment of these diseases in cost-effective ways. PMID:25225838
Rider, Lisa G; Dankó, Katalin; Miller, Frederick W
2014-11-01
Clinical registries and biorepositories have proven extremely useful in many studies of diseases, especially rare diseases. Given their rarity and diversity, the idiopathic inflammatory myopathies, or myositis syndromes, have benefited from individual researchers' collections of cohorts of patients. Major efforts are being made to establish large registries and biorepositories that will allow many additional studies to be performed that were not possible before. Here, we describe the registries developed by investigators and patient support groups that are currently available for collaborative research purposes. We have identified 46 myositis research registries, including many with biorepositories, which have been developed for a wide variety of purposes and have resulted in great advances in understanding the range of phenotypes, clinical presentations, risk factors, pathogenic mechanisms, outcome assessment, therapeutic responses, and prognoses. These are now available for collaborative use to undertake additional studies. Two myositis patient registries have been developed for research, and myositis patient support groups maintain demographic registries with large numbers of patients available to be contacted for potential research participation. Investigator-initiated myositis research registries and biorepositories have proven extremely useful in understanding many aspects of these rare and diverse autoimmune diseases. These registries and biorepositories, in addition to those developed by myositis patient support groups, deserve continued support to maintain the momentum in this field as they offer major opportunities to improve understanding of the pathogenesis and treatment of these diseases in cost-effective ways.
Bennett, A L; Buckton, S; Lawrance, I; Leong, R W; Moore, G; Andrews, J M
2015-12-01
Current models of care for ulcerative colitis (UC) across healthcare systems are inconsistent with a paucity of existing guidelines or supportive tools for outpatient management. This study aimed to produce and evaluate evidence-based outpatient management tools for UC to guide primary care practitioners and patients in clinical decision-making. Three tools were developed after identifying current gaps in the provision of healthcare services for patients with UC at a Clinical Insights Meeting in 2013. Draft designs were further refined through consultation and consolidation of feedback by the steering committee. Final drafts were developed following feasibility testing in three key stakeholder groups (gastroenterologists, general practitioners and patients) by questionnaire. The tools were officially launched into mainstream use in Australia in 2014. Three quarters of all respondents liked the layout and content of each tool. Minimal safety concerns were aired and those, along with pieces of information that were felt to be omitted, that were reviewed by the steering committee and incorporated into the final documents. The majority (over 80%) of respondents felt that the tools would be useful and would improve outpatient management of UC. Evidence-based outpatient clinical management tools for UC can be developed. The concept and end-product have been well received by all stakeholder groups. These tools should support non-specialist clinicians to optimise UC management and empower patients by facilitating them to safely self-manage and identify when medical support is needed. © 2015 Royal Australasian College of Physicians.
Mercer, Susan L; Coop, Andrew
2011-01-01
Chronic clinical pain remains poorly treated. Despite attempts to develop novel analgesic agents, opioids remain the standard analgesics of choice in the clinical management of chronic and severe pain. However, mu opioid analgesics have undesired side effects including, but not limited to, respiratory depression, physical dependence and tolerance. A growing body of evidence suggests that P-glycoprotein (P-gp), an efflux transporter, may contribute a systems-level approach to the development of opioid tolerance. Herein, we describe current in vitro and in vivo methodology available to analyze interactions between opioids and P-gp and critically analyze P-gp data associated with six commonly used mu opioids to include morphine, methadone, loperamide, meperidine, oxycodone, and fentanyl. Recent studies focused on the development of opioids lacking P-gp substrate activity are explored, concentrating on structure-activity relationships to develop an optimal opioid analgesic lacking this systems-level contribution to tolerance development. Continued work in this area will potentially allow for delineation of the mechanism responsible for opioid-related P-gp up-regulation and provide further support for evidence based medicine supporting clinical opioid rotation.
Web-based faculty development: e-learning for clinical teachers in the London Deanery.
McKimm, Judy; Swanwick, Tim
2010-03-01
the London Deanery has provided a web-based resource for supporting the educational development needs of clinical teachers since 2002. This forms part of a range of resources supporting the professional development of clinical teachers and postgraduate supervisors. Following a review in 2007, the deanery commissioned a series of new e-learning modules designed as an introduction to clinical teaching. the deanery's faculty development initiatives are one response to requirements of the Postgraduate Medical Education and Training Board (PMETB), other policy drivers, workforce demands and service changes. Increasingly, doctors are required to provide an educational portfolio of evidence, and satisfy the teaching and training component of Good Medical Practice in revalidation or recertification. 'E-learning for clinical teachers' comprises 16 short, open-access, free-standing modules. The modules are built around a unifying structure, and cover core topics in clinical teaching: feedback; supervision; workplace-based learning; assessment; diversity and equal opportunities; career development; appraisal; lecturing; small group teaching; interprofessional education; and setting learning objectives. The modules can be used as a complementary resource to award-bearing programmes. On completion of a module, a certificate can be printed out for the teacher's portfolio. reflective practice and engagement with an individual's teaching practice is encouraged through self-assessment and a reflective log. The open-access, web-based format enables engagement with the material to suit a doctor's working and learning patterns, and is a valuable adjunct to other forms of learning. The site has been accessed by over 64000 health professionals (including students, trainees, qualified professionals, supervisors and staff developers) from 155 countries. Blackwell Publishing Ltd 2010.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Thwaites, D; Holloway, L; Bailey, M
2015-06-15
Purpose: Large amounts of routine radiotherapy (RT) data are available, which can potentially add clinical evidence to support better decisions. A developing collaborative Australian network, with a leading European partner, aims to validate, implement and extend European predictive models (PMs) for Australian practice and assess their impact on future patient decisions. Wider objectives include: developing multi-institutional rapid learning, using distributed learning approaches; and assessing and incorporating radiomics information into PMs. Methods: Two initial standalone pilots were conducted; one on NSCLC, the other on larynx, patient datasets in two different centres. Open-source rapid learning systems were installed, for data extraction andmore » mining to collect relevant clinical parameters from the centres’ databases. The European DSSs were learned (“training cohort”) and validated against local data sets (“clinical cohort”). Further NSCLC studies are underway in three more centres to pilot a wider distributed learning network. Initial radiomics work is underway. Results: For the NSCLC pilot, 159/419 patient datasets were identified meeting the PM criteria, and hence eligible for inclusion in the curative clinical cohort (for the larynx pilot, 109/125). Some missing data were imputed using Bayesian methods. For both, the European PMs successfully predicted prognosis groups, but with some differences in practice reflected. For example, the PM-predicted good prognosis NSCLC group was differentiated from a combined medium/poor prognosis group (2YOS 69% vs. 27%, p<0.001). Stage was less discriminatory in identifying prognostic groups. In the good prognosis group two-year overall survival was 65% in curatively and 18% in palliatively treated patients. Conclusion: The technical infrastructure and basic European PMs support prognosis prediction for these Australian patient groups, showing promise for supporting future personalized treatment decisions, improved treatment quality and potential practice changes. The early indications from the distributed learning and radiomics pilots strengthen this. Improved routine patient data quality should strengthen such rapid learning systems.« less
Sohal, Alex Hardip; Pathak, Neha; Blake, Sarah; Apea, Vanessa; Berry, Judith; Bailey, Jayne; Griffiths, Chris; Feder, Gene
2018-01-01
Objectives Sexual health and gynaecological problems are the most consistent and largest physical health differences between abused and non-abused female populations. Sexual health services are well placed to identify and support patients experiencing domestic violence and abuse (DVA). Most sexual health professionals have had minimal DVA training despite English National Institute for Health and Care Excellence recommendations. We sought to determine the feasibility of an evidence-based complex DVA training intervention in female sexual health walk-in services (IRIS ADViSE: Identification and Referral to Improve Safety whilst Assessing Domestic Violence in Sexual Health Environments). Methods An adaptive mixed method pilot study in the female walk-in service of two sexual health clinics. Following implementation and evaluation at site 1, the intervention was refined before implementation at site 2. The intervention comprised electronic prompts, multidisciplinary training sessions, clinic materials and simple referral pathways to IRIS ADViSE advocate-educators (AEs). The pilot lasted 7 weeks at site 1 and 12 weeks at site 2. Feasibility outcomes were to assign a supportive DVA clinical lead, an IRIS ADViSE AE employed by a local DVA service provider, adapt electronic records, develop local referral pathways, assess whether enquiry, identification and referral rates were measurable. Results Both sites achieved all feasibility outcomes: appointing a supportive DVA clinical lead and IRIS ADViSE AE, establishing links with a local DVA provider, adapting electronic records, developing local referral pathways and rates of enquiry, identification and referral were found to be measurable. Site 1: 10% enquiry rate (n=267), 4% identification rate (n=16) and eight AE referrals. Site 2: 61% enquiry rate (n=1090), a 7% identification rate (n=79) and eight AE referrals. Conclusions IRIS ADViSE can be successfully developed and implemented in sexual health clinics. It fulfils the unmet need for DVA training. Longer-term evaluation is recommended. PMID:28724743
Social franchising primary healthcare clinics--a model for South African National Health Insurance?
Robinson, Andrew Ken Lacey
2015-09-21
This article describes the first government social franchise initiative in the world to deliver a 'brand' of quality primary healthcare (PHC) clinic services. Quality and standards of care are not uniformly and reliably delivered across government PHC clinics in North West Province, South Africa, despite government support, numerous policies, guidelines and in-service training sessions provided to staff. Currently the strongest predictor of good-quality service is the skill and dedication of the facility manager. A project utilising the social franchising business model, harvesting best practices, has been implemented with the aim of developing a system to ensure reliably excellent healthcare service provision in every facility in North West. The services of social franchising consultants have been procured to develop the business model to drive this initiative. Best practices have been benchmarked, and policies, guidelines and clinic support systems have been reviewed, evaluated and assessed, and incorporated into the business plan. A pilot clinic has been selected to refine and develop a working social franchise model. This will then be replicated in one clinic to confirm proof of concept before further scale-up. The social franchise business model can provide solutions to a reliable and recognisable 'brand' of quality universal coverage of healthcare services.
Development opportunities for hospital clinical laboratory joint ventures.
Van Riper, J A
1995-01-01
Regional health-care providers are being given the opportunity to collaborate in specialty health-care services. Collaboration to achieve superior economies of scale is very effective in the clinical laboratory industry. National laboratory chains are consolidating and enhancing their control of the industry to ensure their historic profitability. National companies have closed many laboratory facilities and have laid off substantial numbers of laboratory personnel. Health-care providers can regain control of their locally generated laboratory health-care dollars by joining forces with clinical laboratory joint ventures. Laboratorians can assist the healthcare providers in bringing laboratory services and employment back to the local community. New capital for operational development and laboratory information systems will help bring the laboratory to the point of care. The independent regional laboratory is focused on supporting the medical needs of the community. The profit generated from a laboratory joint venture is shared among local health-care providers, supporting their economic viability. The laboratories' ability to contribute to the development of profit-making ventures will provide capital for new laboratory development. All of the above will ensure the clinical laboratories' role in providing quality health care to our communities and employment opportunities for laboratory personnel.
Barken, Tina Lien; Thygesen, Elin; Söderhamn, Ulrika
2017-12-28
Telemedicine is changing traditional nursing care, and entails nurses performing advanced and complex care within a new clinical environment, and monitoring patients at a distance. Telemedicine practice requires complex disease management, advocating that the nurses' reasoning and decision-making processes are supported. Computerised decision support systems are being used increasingly to assist reasoning and decision-making in different situations. However, little research has focused on the clinical reasoning of nurses using a computerised decision support system in a telemedicine setting. Therefore, the objective of the study is to explore the process of telemedicine nurses' clinical reasoning when using a computerised decision support system for the management of patients with chronic obstructive pulmonary disease. The factors influencing the reasoning and decision-making processes were investigated. In this ethnographic study, a combination of data collection methods, including participatory observations, the think-aloud technique, and a focus group interview was employed. Collected data were analysed using qualitative content analysis. When telemedicine nurses used a computerised decision support system for the management of patients with complex, unstable chronic obstructive pulmonary disease, two categories emerged: "the process of telemedicine nurses' reasoning to assess health change" and "the influence of the telemedicine setting on nurses' reasoning and decision-making processes". An overall theme, termed "advancing beyond the system", represented the connection between the reasoning processes and the telemedicine work and setting, where being familiar with the patient functioned as a foundation for the nurses' clinical reasoning process. In the telemedicine setting, when supported by a computerised decision support system, nurses' reasoning was enabled by the continuous flow of digital clinical data, regular video-mediated contact and shared decision-making with the patient. These factors fostered an in-depth knowledge of the patients and acted as a foundation for the nurses' reasoning process. Nurses' reasoning frequently advanced beyond the computerised decision support system recommendations. Future studies are warranted to develop more accurate algorithms, increase system maturity, and improve the integration of the digital clinical information with clinical experiences, to support telemedicine nurses' reasoning process.
Teaching and clinical educator competency: bringing two worlds together.
Robinson, Cathy P
2009-01-01
More sessional clinical educators are being employed in educational institutions today than ever before. Also identified in the literature are issues affecting sessional clinical educators' ability to develop and maintain educator competency. Using the definition of educator competency by the National League for Nursing (NLN 2005a), explored in this paper are ways of increasing sessional clinical educator competency, such as orientation and mentorship programs to support student learning in clinical environments. Approaches in the form of theoretical models designed to evaluate clinical educator competency are examined. A new Sessional Clinical Educator Competency (SCEC) Framework is offered to provide direction for implementing strategies to develop and evaluate sessional clinical educator competency. Suggested is that the SCEC framework could be useful for educational administrators and sessional clinical educators to assess clinical educator competency.
Improving performance with clinical decision support.
Brailer, D J; Goldfarb, S; Horgan, M; Katz, F; Paulus, R A; Zakrewski, K
1996-07-01
CADU/CIS (Clinical and Administrative Decision-support Utility and Clinical Information System) is a clinical decision-support workstation that allows large volumes of clinical information systems data to be analyzed in a timely and user-friendly fashion. CARE PROCESS MEASUREMENT: For any given disease, subgroups of patients are identified, and automated, customized "clinical pathways" are generated. For each subgroup, the best practice norms for use of test and therapies are identified. Practice style variations are then compared to outcomes to focus inquiry on decisions that significantly affect outcomes. INTESTINAL OBSTRUCTION: Graduate Health Systems, a multisite integrated provider in the Philadelphia area, has used CADU/CIS to improve quality problems, reduce treatment-intensity variations, and improve clinical participation in care process evaluation and decision making. A task force selected intestinal obstruction without hernia as its first study because of the related high-volume and high-morbidity complications. Use of a ten-step method for clinical performance improvement showed that the intravenous administration of unnecessary fluids to 104 patients with intestinal obstruction induced congestive heart failure (CHF) in 5 patients. Task force members and other practicing physicians are now developing guidelines and other interventions aimed at fluid use. Indeed, the task force used CADU/CIS to identify an additional 250 patients in one year whose conditions were complicated by CHF. A clinical decision support tool can be instrumental in detecting problems with important clinical and economic implications, identifying their important underlying causes, tracking the associated tests and therapies, and monitoring interventions.
Tooth-supported, magnet-retained overdentures: a review.
Vere, Joe; Deans, Robert F
2009-06-01
There has been an increase in the provision of implant-supported prostheses in patients unable to tolerate conventional dentures. Unfortunately, many patients are unable to benefit from this treatment option because of anatomical, medical or financial constraints. Magnet-retained overdentures represent a potential treatment option in many of these cases. This article describes the development, advantages, complications and clinical procedures associated with the provision of tooth-supported, magnet-retained overdentures. Conventional overdenture retention can be enhanced by the use of dental magnets. Clinical procedures are straightforward and magnets offer a number of advantages over other forms of precision attachment.
McLoone, J K; Watts, K J; Menzies, S W; Barlow-Stewart, K; Mann, G J; Kasparian, N A
2013-09-01
Providing ongoing clinical care that adequately addresses patients' medical, psychosocial and information needs is challenging, particularly for patient groups at increased risk of developing life-threatening disease such as malignant melanoma. This study examined a model of clinical care developed by the High Risk Clinic (HRC) of the Sydney Melanoma Diagnostic Centre in relation to patient satisfaction. Semi-structured telephone interviews were conducted and analyzed using the framework of Miles and Huberman, and themes were organized using the qualitative software package, QSR NVivo8. Twenty HRC patients participated in the study (nine men, 11 women; mean age 57.6 years, age range 34-74 years; response rate 91%). Satisfaction with clinical care at the HRC was high. Factors contributing to patient satisfaction included: rapid and regular access to physicians who were perceived by participants as experts, the development of confidence and trust in one's treating doctor, and a sense of being cared about and understood by one's healthcare team. Although one-third of the participants reported some inconveniences in attending the clinic, these were viewed as minor difficulties and not significant barriers to care. Formal psychological support was not sought or expected by participants, although many expressed long-standing melanoma-related fears and concerns. Accessible, expert medical attention, delivered in a patient-centered manner was integral to melanoma survivors' satisfaction with clinical management. Appropriate referrals to psychological support may further increase satisfaction with clinical care. Copyright © 2013 John Wiley & Sons, Ltd.
Hahn, Harry; Henry, Judith; Chacko, Sara; Winter, Ashley; Cambou, Mary C
2010-01-01
Screening and tracking subjects and data management in clinical trials require significant investments in manpower that can be reduced through the use of web-based systems. To support a validation trial of various dietary assessment tools that required multiple clinic visits and eight repeats of online assessments, we developed an interactive web-based system to automate all levels of management of a biomarker-based clinical trial. The “Energetics System” was developed to support 1) the work of the study coordinator in recruiting, screening and tracking subject flow, 2) the need of the principal investigator to review study progress, and 3) continuous data analysis. The system was designed to automate web-based self-screening into the trial. It supported scheduling tasks and triggered tailored messaging for late and non-responders. For the investigators, it provided real time status overviews on all subjects, created electronic case reports, supported data queries and prepared analytic data files. Encryption and multi-level password protection were used to insure data privacy. The system was programmed iteratively and required six months of a web programmer's time along with active team engagement. In this study the enhancement in speed and efficiency of recruitment and quality of data collection as a result of this system outweighed the initial investment. Web-based systems have the potential to streamline the process of recruitment and day-to-day management of clinical trials in addition to improving efficiency and quality. Because of their added value they should be considered for trials of moderate size or complexity. Grant support: NIH funded R01CA105048. PMID:19925884
May, Lindsay J; Ploutz, Michelle; Hollander, Seth A; Reinhartz, Olaf; Almond, Christopher S; Chen, Sharon; Maeda, Katsuhide; Kaufman, Beth D; Yeh, Justin; Rosenthal, David N
2015-04-01
The evolution of pharmacologic therapies and mechanical support including ventricular assist devices (VADs) has broadened the scope of care available to children with advanced heart failure. At the present time, there are only limited means of quantifying disease severity or the concomitant morbidity for this population. This study describes the development of a novel pediatric treatment intensity score (TIS), designed to quantify the burden of illness and clinical trajectory in children on VAD support. There were 5 clinical domains assessed: nutrition, respiratory support, activity level, cardiovascular medications, and care environment. A scale was developed through expert consensus. Higher scores indicate greater morbidity as reflected by intensity of medical management. To evaluate feasibility and face validity, the TIS was applied retrospectively to a subset of pediatric inpatients with VADs. The Bland-Altman method was used to assess limits of agreement. The study comprised 39 patients with 42 implantations. Bland-Altman interobserver and intraobserver comparisons showed good agreement (mean differences in scores of 0.02, limits of agreement ±0.12). Trends in TIS were concordant with the overall clinical impression of improvement. Scores remained ≥0.6 preceding VAD implantation and peaked at 0.71 3 days after VAD implantation. We describe a pediatric VAD scoring tool, to assess global patient morbidity and clinical recovery. We demonstrate feasibility of using this TIS in a test population of inpatients on VAD support. Copyright © 2015 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.
Adlassnig, Klaus-Peter; Fehre, Karsten; Rappelsberger, Andrea
2015-01-01
This study's objective is to develop and use a scalable genuine technology platform for clinical decision support based on Arden Syntax, which was extended by fuzzy set theory and fuzzy logic. Arden Syntax is a widely recognized formal language for representing clinical and scientific knowledge in an executable format, and is maintained by Health Level Seven (HL7) International and approved by the American National Standards Institute (ANSI). Fuzzy set theory and logic permit the representation of knowledge and automated reasoning under linguistic and propositional uncertainty. These forms of uncertainty are a common feature of patients' medical data, the body of medical knowledge, and deductive clinical reasoning.
Clinical teaching and support for learners in the practice environment.
McBrien, Barry
The purpose of planned clinical experience for students of nursing is primarily to provide students with the opportunity to develop their clinical skills, integrate theory and practice, and assist with their socialization into nursing. Nursing, in the main, is a practice-based profession. To this extent, it is essential that nurse education continues to have a strong practical element despite its full integration into higher education institutions (Department of Health, 1999). However, providing adequate support and supervision for learners is challenging. Undoubtedly, exacerbated by increasing numbers of learners, staff shortages and mentors training deficits. This article aims to critically analyse several strategies, which can be used to promote clinical learning.
Dixon, Brian E; Gamache, Roland E; Grannis, Shaun J
2013-01-01
Objective To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. Materials and Methods A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Results Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making. Conclusions Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows. PMID:23467470
MYPLAN - A Mobile Phone Application for Supporting People at Risk of Suicide.
Skovgaard Larsen, Jette L; Frandsen, Hanne; Erlangsen, Annette
2016-05-01
Safety plans have been suggested as an intervention for people at risk of suicide. Given the impulsive character of suicidal ideation, a safety plan in the format of a mobile phone application is likely to be more available and useful than traditional paper versions. The study describes MYPLAN, a mobile phone application designed to support people at risk of suicide by letting them create a safety plan. MYPLAN was developed in collaboration with clinical psychiatric staff at Danish suicide preventive clinics. The mobile application lets the user create an individualized safety plan by filling in templates with strategies, actions, and direct links to contact persons. MYPLAN was developed in 2013 and is freely available in Denmark and Norway. It is designed for iPhone and android platforms. As of December 2015, the application has been downloaded almost 8,000 times. Users at risk of suicide as well as clinical staff have provided positive feedback on the mobile application. Support via mobile phone applications might be particularly useful for younger age groups at risk of suicide as well as in areas or countries where support options are lacking. Yet, it is important to examine the effectiveness of this type of intervention.
Furberg, Robert D; Zulkiewicz, Brittany A; Hudson, Jordan P; Taylor, Olivia M; Lewis, Megan A
2016-01-01
Background Tablet-based health care interventions have the potential to encourage patient care in a timelier manner, allow physicians convenient access to patient records, and provide an improved method for patient education. However, along with the continued adoption of tablet technologies, there is a concomitant need to develop protocols focusing on the configuration, management, and maintenance of these devices within the health care setting to support the conduct of clinical research. Objective Develop three protocols to support tablet configuration, tablet management, and tablet maintenance. Methods The Configurator software, Tile technology, and current infection control recommendations were employed to develop three distinct protocols for tablet-based digital health interventions. Configurator is a mobile device management software specifically for iPhone operating system (iOS) devices. The capabilities and current applications of Configurator were reviewed and used to develop the protocol to support device configuration. Tile is a tracking tag associated with a free mobile app available for iOS and Android devices. The features associated with Tile were evaluated and used to develop the Tile protocol to support tablet management. Furthermore, current recommendations on preventing health care–related infections were reviewed to develop the infection control protocol to support tablet maintenance. Results This article provides three protocols: the Configurator protocol, the Tile protocol, and the infection control protocol. Conclusions These protocols can help to ensure consistent implementation of tablet-based interventions, enhance fidelity when employing tablets for research purposes, and serve as a guide for tablet deployments within clinical settings. PMID:27350013
Luo, Jake; Chen, Weiheng; Wu, Min; Weng, Chunhua
2018-01-01
Background Prior studies of clinical trial planning indicate that it is crucial to search and screen recruitment sites before starting to enroll participants. However, currently there is no systematic method developed to support clinical investigators to search candidate recruitment sites according to their interested clinical trial factors. Objective In this study, we aim at developing a new approach to integrating the location data of over one million heterogeneous recruitment sites that are stored in clinical trial documents. The integrated recruitment location data can be searched and visualized using a map-based information retrieval method. The method enables systematic search and analysis of recruitment sites across a large amount of clinical trials. Methods The location data of more than 1.4 million recruitment sites of over 183,000 clinical trials was normalized and integrated using a geocoding method. The integrated data can be used to support geographic information retrieval of recruitment sites. Additionally, the information of over 6000 clinical trial target disease conditions and close to 4000 interventions was also integrated into the system and linked to the recruitment locations. Such data integration enabled the construction of a novel map-based query system. The system will allow clinical investigators to search and visualize candidate recruitment sites for clinical trials based on target conditions and interventions. Results The evaluation results showed that the coverage of the geographic location mapping for the 1.4 million recruitment sites was 99.8%. The evaluation of 200 randomly retrieved recruitment sites showed that the correctness of geographic information mapping was 96.5%. The recruitment intensities of the top 30 countries were also retrieved and analyzed. The data analysis results indicated that the recruitment intensity varied significantly across different countries and geographic areas. Conclusion This study contributed a new data processing framework to extract and integrate the location data of heterogeneous recruitment sites from clinical trial documents. The developed system can support effective retrieval and analysis of potential recruitment sites using target clinical trial factors. PMID:29132636
Luo, Jake; Chen, Weiheng; Wu, Min; Weng, Chunhua
2017-12-01
Prior studies of clinical trial planning indicate that it is crucial to search and screen recruitment sites before starting to enroll participants. However, currently there is no systematic method developed to support clinical investigators to search candidate recruitment sites according to their interested clinical trial factors. In this study, we aim at developing a new approach to integrating the location data of over one million heterogeneous recruitment sites that are stored in clinical trial documents. The integrated recruitment location data can be searched and visualized using a map-based information retrieval method. The method enables systematic search and analysis of recruitment sites across a large amount of clinical trials. The location data of more than 1.4 million recruitment sites of over 183,000 clinical trials was normalized and integrated using a geocoding method. The integrated data can be used to support geographic information retrieval of recruitment sites. Additionally, the information of over 6000 clinical trial target disease conditions and close to 4000 interventions was also integrated into the system and linked to the recruitment locations. Such data integration enabled the construction of a novel map-based query system. The system will allow clinical investigators to search and visualize candidate recruitment sites for clinical trials based on target conditions and interventions. The evaluation results showed that the coverage of the geographic location mapping for the 1.4 million recruitment sites was 99.8%. The evaluation of 200 randomly retrieved recruitment sites showed that the correctness of geographic information mapping was 96.5%. The recruitment intensities of the top 30 countries were also retrieved and analyzed. The data analysis results indicated that the recruitment intensity varied significantly across different countries and geographic areas. This study contributed a new data processing framework to extract and integrate the location data of heterogeneous recruitment sites from clinical trial documents. The developed system can support effective retrieval and analysis of potential recruitment sites using target clinical trial factors. Copyright © 2017 Elsevier B.V. All rights reserved.
Witt, Claudia M; Huang, Wen-jing; Lao, Lixing; Bm, Berman
2012-10-01
In clinical research on complementary and integrative medicine, experts and scientists have often pursued a research agenda in spite of an incomplete understanding of the needs of end users. Consequently, the majority of previous clinical trials have mainly assessed the efficacy of interventions. Scant data is available on their effectiveness. Comparative effectiveness research (CER) promises to support decision makers by generating evidence that compares the benefits and harms of the best care options. This evidence, more generalizable than the evidence generated by traditional randomized controlled trials (RCTs), is better suited to inform real-world care decisions. An emphasis on CER supports the development of the evidence base for clinical and policy decision-making. Whereas in most areas of complementary and integrative medicine data on comparative effectiveness is scarce, available acupuncture research already contributes to CER evidence. This paper will introduce CER and make suggestions for future research.
Managing and Communicating Operational Workflow
Weinberg, Stuart T.; Danciu, Ioana; Unertl, Kim M.
2016-01-01
Summary Background Healthcare team members in emergency department contexts have used electronic whiteboard solutions to help manage operational workflow for many years. Ambulatory clinic settings have highly complex operational workflow, but are still limited in electronic assistance to communicate and coordinate work activities. Objective To describe and discuss the design, implementation, use, and ongoing evolution of a coordination and collaboration tool supporting ambulatory clinic operational workflow at Vanderbilt University Medical Center (VUMC). Methods The outpatient whiteboard tool was initially designed to support healthcare work related to an electronic chemotherapy order-entry application. After a highly successful initial implementation in an oncology context, a high demand emerged across the organization for the outpatient whiteboard implementation. Over the past 10 years, developers have followed an iterative user-centered design process to evolve the tool. Results The electronic outpatient whiteboard system supports 194 separate whiteboards and is accessed by over 2800 distinct users on a typical day. Clinics can configure their whiteboards to support unique workflow elements. Since initial release, features such as immunization clinical decision support have been integrated into the system, based on requests from end users. Conclusions The success of the electronic outpatient whiteboard demonstrates the usefulness of an operational workflow tool within the ambulatory clinic setting. Operational workflow tools can play a significant role in supporting coordination, collaboration, and teamwork in ambulatory healthcare settings. PMID:27081407
Bagley, Heather J; Short, Hannah; Harman, Nicola L; Hickey, Helen R; Gamble, Carrol L; Woolfall, Kerry; Young, Bridget; Williamson, Paula R
2016-01-01
Funders of research are increasingly requiring researchers to involve patients and the public in their research. Patient and public involvement (PPI) in research can potentially help researchers make sure that the design of their research is relevant, that it is participant friendly and ethically sound. Using and sharing PPI resources can benefit those involved in undertaking PPI, but existing PPI resources are not used consistently and this can lead to duplication of effort. This paper describes how we are developing a toolkit to support clinical trials teams in a clinical trials unit. The toolkit will provide a key 'off the shelf' resource to support trial teams with limited resources, in undertaking PPI. Key activities in further developing and maintaining the toolkit are to: ● listen to the views and experience of both research teams and patient and public contributors who use the tools; ● modify the tools based on our experience of using them; ● identify the need for future tools; ● update the toolkit based on any newly identified resources that come to light; ● raise awareness of the toolkit and ● work in collaboration with others to either develop or test out PPI resources in order to reduce duplication of work in PPI. Background Patient and public involvement (PPI) in research is increasingly a funder requirement due to the potential benefits in the design of relevant, participant friendly, ethically sound research. The use and sharing of resources can benefit PPI, but available resources are not consistently used leading to duplication of effort. This paper describes a developing toolkit to support clinical trials teams to undertake effective and meaningful PPI. Methods The first phase in developing the toolkit was to describe which PPI activities should be considered in the pathway of a clinical trial and at what stage these activities should take place. This pathway was informed through review of the type and timing of PPI activities within trials coordinated by the Clinical Trials Research Centre and previously described areas of potential PPI impact in trials. In the second phase, key websites around PPI and identification of resources opportunistically, e.g. in conversation with other trialists or social media, were used to identify resources. Tools were developed where gaps existed. Results A flowchart was developed describing PPI activities that should be considered in the clinical trial pathway and the point at which these activities should happen. Three toolkit domains were identified: planning PPI; supporting PPI; recording and evaluating PPI. Four main activities and corresponding tools were identified under the planning for PPI: developing a plan; identifying patient and public contributors; allocating appropriate costs; and managing expectations. In supporting PPI, tools were developed to review participant information sheets. These tools, which require a summary of potential trial participant characteristics and circumstances help to clarify requirements and expectations of PPI review. For recording and evaluating PPI, the planned PPI interventions should be monitored in terms of impact, and a tool to monitor public contributor experience is in development. Conclusions This toolkit provides a developing 'off the shelf' resource to support trial teams with limited resources in undertaking PPI. Key activities in further developing and maintaining the toolkit are to: listen to the views and experience of both research teams and public contributors using the tools, to identify the need for future tools, to modify tools based on experience of their use; to update the toolkit based on any newly identified resources that come to light; to raise awareness of the toolkit and to work in collaboration with others to both develop and test out PPI resources in order to reduce duplication of work in PPI.
Farran, Carol J; Etkin, Caryn D; McCann, Judith J; Paun, Olimpia; Eisenstein, Amy R; Wilbur, Joellen
2011-11-01
This article describes how a family caregiver lifestyle physical activity clinical trial uses research technology to enhance quality control and treatment fidelity. This trial uses a range of Internet, Blaise(®) Windows-based software and Echo Server technologies to support quality control issues, such as data collection, data entry, and study management advocated by the clinical trials literature, and to ensure treatment fidelity concerning intervention implementation (i.e., design, training, delivery, receipt, and enactment) as proposed by the National Institutes of Health Behavior Change Consortium. All research staff are trained to use these technologies. Strengths of this technological approach to support quality control and treatment fidelity include the comprehensive plan, involvement of all staff, and ability to maintain accurate and timely data. Limitations include the upfront time and costs for developing and testing these technological methods, and having support staff readily available to address technological issues if they occur.
A Toolbox to Improve Algorithms for Insulin-Dosing Decision Support
Donsa, K.; Plank, J.; Schaupp, L.; Mader, J. K.; Truskaller, T.; Tschapeller, B.; Höll, B.; Spat, S.; Pieber, T. R.
2014-01-01
Summary Background Standardized insulin order sets for subcutaneous basal-bolus insulin therapy are recommended by clinical guidelines for the inpatient management of diabetes. The algorithm based GlucoTab system electronically assists health care personnel by supporting clinical workflow and providing insulin-dose suggestions. Objective To develop a toolbox for improving clinical decision-support algorithms. Methods The toolbox has three main components. 1) Data preparation: Data from several heterogeneous sources is extracted, cleaned and stored in a uniform data format. 2) Simulation: The effects of algorithm modifications are estimated by simulating treatment workflows based on real data from clinical trials. 3) Analysis: Algorithm performance is measured, analyzed and simulated by using data from three clinical trials with a total of 166 patients. Results Use of the toolbox led to algorithm improvements as well as the detection of potential individualized subgroup-specific algorithms. Conclusion These results are a first step towards individualized algorithm modifications for specific patient subgroups. PMID:25024768
Andrade, E L; Bento, A F; Cavalli, J; Oliveira, S K; Freitas, C S; Marcon, R; Schwanke, R C; Siqueira, J M; Calixto, J B
2016-10-24
This review presents a historical overview of drug discovery and the non-clinical stages of the drug development process, from initial target identification and validation, through in silico assays and high throughput screening (HTS), identification of leader molecules and their optimization, the selection of a candidate substance for clinical development, and the use of animal models during the early studies of proof-of-concept (or principle). This report also discusses the relevance of validated and predictive animal models selection, as well as the correct use of animal tests concerning the experimental design, execution and interpretation, which affect the reproducibility, quality and reliability of non-clinical studies necessary to translate to and support clinical studies. Collectively, improving these aspects will certainly contribute to the robustness of both scientific publications and the translation of new substances to clinical development.
Hoffman, Kerry; Dempsey, Jennifer; Levett-Jones, Tracy; Noble, Danielle; Hickey, Noelene; Jeong, Sarah; Hunter, Sharyn; Norton, Carol
2011-08-01
This paper describes the conceptual design and testing of an Interactive Computerised Decision Support Framework (ICDSF) which was constructed to enable student nurses to "think like a nurse." The ICDSF was based on a model of clinical reasoning. Teaching student nurses to reason clinically is important as poor clinical reasoning skills can lead to "failure-to rescue" of deteriorating patients. The framework of the ICDSF was based on nursing concepts to encourage deep learning and transferability of knowledge. The principles of active student participation, situated cognition to solve problems, authenticity, and cognitive rehearsal were used to develop the ICDSF. The ICDSF was designed in such a way that students moved through it in a step-wise fashion and were required to achieve competency at each step before proceeding to the next. The quality of the ICDSF was evaluated using a questionairre survey, students' written comments and student assessment measures on a pilot and the ICDSF. Overall students were highly satisfied with the clinical scenarios of the ICDSF and believed they were an interesting and useful way to engage in authentic clinical learning. They also believed the ICDSF was useful in developing cognitive skills such as clinical reasoning, problem-solving and decision-making. Some reported issues were the need for good technical support and the lack of face to face contact when using e-learning. Some students also believed the ICDSF was less useful than actual clinical placements. Copyright © 2010 Elsevier Ltd. All rights reserved.
[Leadership Experience of Clinical Nurses: Applying Focus Group Interviews].
Lee, Byoung Sook; Eo, Yong Sook; Lee, Mi Aie
2015-10-01
The purpose of this study was to understand and describe the leadership experience of clinical nurses. During 2014, data were collected using focus group interviews. Three focus group interviews were held with a total of 20 clinical nurses participating. All interviews were recorded as they were spoken and transcribed and data were analyzed using qualitative content analysis. Fifteen categories emerged from the five main themes. 1) Thoughts on the leadership category: to lead others, to cope with problem situations adequately and to serve as a shield against difficulties. 2) Situations requiring leadership: situation that requires correct judgement, coping and situations that need coordination and cooperation. 3-1) Leadership behaviors: other-oriented approach and self-oriented approach. 3-2) Leadership behavior consequences: relevant compensation and unfair termination. 4-1) Facilitators of leadership: confidence and passion for nursing and external support and resources. 4-2) Barriers to leadership: non-supportive organization culture and deficiency in own leadership competencies. 5) Strategies of leadership development: strengthen leadership through self-development and organizational leadership development. In conclusion, the results indicate that it is necessary to enhance clinical nurses' leadership role in healthcare. Enhancement can be achieved through leadership programs focused on enlarging leadership experience, constant self-development, leadership training, and development of leadership competencies suited to the nursing environment.
Clinical skill development for community pharmacists.
Barnette, D J; Murphy, C M; Carter, B L
1996-09-01
The importance of establishing clinical pharmacy services in the community cannot be understated in light of current challenges to the traditional dispensing role as the primary service of the community pharmacist. Advancements in automated dispensing technology and declining prescription fee reimbursement are rapidly forcing pharmacists to seek alternative sources of revenue. Providing pharmaceutical care is a viable option to increase customer loyalty job satisfaction, and reimbursement. To support the development of clinical services, academic institutions are forming partnerships with individual community practitioners to overcome perceived educational and training barriers. The authors describe the design and development of two unique clinical skill development programs at the University of Illinois at Chicago. This paper also outlines the patient focused services that the participants have established upon completing the training. These programs successfully enhanced participants' therapeutic knowledge base and facilitated development of the clinical skills necessary for direct patient care.
A clinical ladder for occupational health nurses.
Lang, Yolanda C
2010-06-01
Occupational health nurses must have a growing, expanding knowledge base to remain current in practice. The American Board for Occupational Health Nurses, Inc. encourages advancement with the availability of certification examinations. Health care centers support clinical advancement programs for bedside nurses. Nurses who continue their education either through a degree program or via continuing education or certification advance up the clinical ladder, receiving a higher salary, recognition from their peers, and perhaps even financial assistance to continue climbing, yet occupational health nurses do not have their own clinical advancement ladder. This article examines the steps necessary to develop a clinical ladder and presents a clinical ladder specific to occupational health nursing developed by the author. Copyright 2010, SLACK Incorporated.
Kim, Heejun; Bian, Jiantao; Mostafa, Javed; Jonnalagadda, Siddhartha; Del Fiol, Guilherme
2016-01-01
Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort. Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov. Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information. Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians. PMID:28269867
[A computerised clinical decision-support system for the management of depression in Primary Care].
Aragonès, Enric; Comín, Eva; Cavero, Myriam; Pérez, Víctor; Molina, Cristina; Palao, Diego
Despite its clinical relevance and its importance as a public health problem, there are major gaps in the management of depression. Evidence-based clinical guidelines are useful to improve processes and clinical outcomes. In order to make their implementation easier these guidelines have been transformed into computerised clinical decision support systems. In this article, a description is presented on the basics and characteristics of a new computerised clinical guideline for the management of major depression, developed in the public health system in Catalonia. This tool helps the clinician to establish reliable and accurate diagnoses of depression, to choose the best treatment a priori according to the disease and the patient characteristics. It also emphasises the importance of systematic monitoring to assess the clinical course, and to adjust therapeutic interventions to the patient's needs at all times. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.
A Domain Analysis Model for eIRB Systems: Addressing the Weak Link in Clinical Research Informatics
He, Shan; Narus, Scott P.; Facelli, Julio C.; Lau, Lee Min; Botkin, Jefferey R.; Hurdle, John F.
2014-01-01
Institutional Review Boards (IRBs) are a critical component of clinical research and can become a significant bottleneck due to the dramatic increase, in both volume and complexity of clinical research. Despite the interest in developing clinical research informatics (CRI) systems and supporting data standards to increase clinical research efficiency and interoperability, informatics research in the IRB domain has not attracted much attention in the scientific community. The lack of standardized and structured application forms across different IRBs causes inefficient and inconsistent proposal reviews and cumbersome workflows. These issues are even more prominent in multi-institutional clinical research that is rapidly becoming the norm. This paper proposes and evaluates a domain analysis model for electronic IRB (eIRB) systems, paving the way for streamlined clinical research workflow via integration with other CRI systems and improved IRB application throughput via computer-assisted decision support. PMID:24929181
[Development and clinical evaluation of an anesthesia information management system].
Feng, Jing-yi; Chen, Hua; Zhu, Sheng-mei
2010-09-21
To study the design, implementation and clinical evaluation of an anesthesia information management system. To record, process and store peri-operative patient data automatically, all kinds of bedside monitoring equipments are connected into the system based on information integrating technology; after a statistical analysis of those patient data by data mining technology, patient status can be evaluated automatically based on risk prediction standard and decision support system, and then anesthetist could perform reasonable and safe clinical processes; with clinical processes electronically recorded, standard record tables could be generated, and clinical workflow is optimized, as well. With the system, kinds of patient data could be collected, stored, analyzed and archived, kinds of anesthesia documents could be generated, and patient status could be evaluated to support clinic decision. The anesthesia information management system is useful for improving anesthesia quality, decreasing risk of patient and clinician, and aiding to provide clinical proof.
Developing a Decision Support System for Tobacco Use Counseling Using Primary Care Physicians
Marcy, Theodore W.; Kaplan, Bonnie; Connolly, Scott W.; Michel, George; Shiffman, Richard N.; Flynn, Brian S.
2009-01-01
Background Clinical decision support systems (CDSS) have the potential to improve adherence to guidelines, but only if they are designed to work in the complex environment of ambulatory clinics as otherwise physicians may not use them. Objective To gain input from primary care physicians in designing a CDSS for smoking cessation to ensure that the design is appropriate to a clinical environment before attempts to test this CDSS in a clinical trial. This approach is of general interest to those designing similar systems. Design and Approach We employed an iterative ethnographic process that used multiple evaluation methods to understand physician preferences and workflow integration. Using results from our prior survey of physicians and clinic managers, we developed a prototype CDSS, validated content and design with an expert panel, and then subjected it to usability testing by physicians, followed by iterative design changes based on their feedback. We then performed clinical testing with individual patients, and conducted field tests of the CDSS in two primary care clinics during which four physicians used it for routine patient visits. Results The CDSS prototype was substantially modified through these cycles of usability and clinical testing, including removing a potentially fatal design flaw. During field tests in primary care clinics, physicians incorporated the final CDSS prototype into their workflow, and used it to assist in smoking cessation interventions up to eight times daily. Conclusions A multi-method evaluation process utilizing primary care physicians proved useful for developing a CDSS that was acceptable to physicians and patients, and feasible to use in their clinical environment. PMID:18713526
Lee, Seonah
2013-10-01
This study aimed to organize the system features of decision support technologies targeted at nursing practice into assessment, problem identification, care plans, implementation, and outcome evaluation. It also aimed to identify the range of the five stage-related sequential decision supports that computerized clinical decision support systems provided. MEDLINE, CINAHL, and EMBASE were searched. A total of 27 studies were reviewed. The system features collected represented the characteristics of each category from patient assessment to outcome evaluation. Several features were common across the reviewed systems. For the sequential decision support, all of the reviewed systems provided decision support in sequence for patient assessment and care plans. Fewer than half of the systems included problem identification. There were only three systems operating in an implementation stage and four systems in outcome evaluation. Consequently, the key steps for sequential decision support functions were initial patient assessment, problem identification, care plan, and outcome evaluation. Providing decision support in such a full scope will effectively help nurses' clinical decision making. By organizing the system features, a comprehensive picture of nursing practice-oriented computerized decision support systems was obtained; however, the development of a guideline for better systems should go beyond the scope of a literature review.
A decision-supported outpatient practice system.
Barrows, R. C.; Allen, B. A.; Smith, K. C.; Arni, V. V.; Sherman, E.
1996-01-01
We describe a Decision-supported Outpatient Practice (DOP) system developed and now in use at the Columbia-Presbyterian Medical Center. DOP is an automated ambulatory medical record system that integrates in-patient and ambulatory care data, and incorporates active and passive decision support mechanisms with a view towards improving the quality of primary care. Active decision support occurs in the form of event-driven reminders created within a remote clinical information system with its central data repository and decision support system (DSS). Novel features of DOP include patient specific health maintenance task lists calculated by the remote DSS. uses of a semantically structured controlled medical vocabulary to support clinical results review and provider data entry, and exploitation of an underlying ambulatory data model that provides for an explicit record of evolution of insight regarding patient management. Benefits, challenges, and plans are discussed. PMID:8947774
Clinical investigations for SUS, the Brazilian public health system.
Paula, Ana Patrícia de; Giozza, Silvana Pereira; Pereira, Michelle Zanon; Boaventura, Patrícia Souza; Santos, Leonor Maria Pacheco; Sachetti, Camile Giaretta; Tamayo, César Omar Carranza; Kowalski, Clarissa Campos Guaragna; Elias, Flavia Tavares Silva; Serruya, Suzanne Jacob; Guimarães, Reinaldo
2012-01-01
Scientific and technological development is crucial for advancing the Brazilian health system and for promoting quality of life. The way in which the Brazilian Ministry of Health has supported clinical research to provide autonomy, self-sufficiency, competitiveness and innovation for the healthcare industrial production complex, in accordance with the National Policy on Science, Technology and Innovation in Healthcare, was analyzed. Descriptive investigation, based on secondary data, conducted at the Department of Science and Technology, Ministry of Health. The Ministry of Health's research management database, PesquisaSaúde, was analyzed from 2002 to 2009, using the key word "clinical research" in the fields "primary sub-agenda" or "secondary sub-agenda". The 368 projects retrieved were sorted into six categories: basic biomedical research, preclinical studies, expanded clinical research, clinical trials, infrastructure support and health technology assessment. From a structured review on "clinical research funding", results from selected countries are presented and discussed. The amount invested was R$ 140 million. The largest number of projects supported "basic biomedical research", while the highest amounts invested were in "clinical trials" and "infrastructure support". The southeastern region had the greatest proportion of projects and financial resources. In some respects, Brazil is ahead of other BRICS countries (Russia, India, China and South Africa), especially with regard to establishing a National Clinical Research Network. The Ministry of Health ensured investments to encourage clinical research in Brazil and contributed towards promoting cohesion between investigators, health policies and the healthcare industrial production complex.
'Healthy gums do matter': A case study of clinical leadership within primary dental care.
Moore, D; Saleem, S; Hawthorn, E; Pealing, R; Ashley, M; Bridgman, C
2015-09-25
The Health and Social Care Act 2012 heralded wide reaching reforms intended to place clinicians at the heart of the health service. For NHS general dental practice, the conduits for this clinical leadership are the NHS England local professional networks. In Greater Manchester, the local professional network has developed and piloted a clinician led quality improvement project: 'Healthy Gums DO Matter, a Practitioner's Toolkit'. Used as a case study, the project highlighted the following facilitators to clinical leadership in dentistry: supportive environment; mentoring and transformational leadership; alignment of project goals with national policy; funding allowance; cross-boundary collaboration; determination; altruism; and support from wider academic and specialist colleagues. Barriers to clinical leadership identified were: the hierarchical nature of healthcare, territorialism and competing clinical commitments.
Clinical academic careers: embracing the art and science of nursing.
Masterson, Abigail; Robb, Liz
2016-11-23
Clinical academics make a unique contribution to health research and scholarship by undertaking practice-focused research that offers direct benefits to patient care. The Florence Nightingale Foundation supports the development of research skills in nursing and midwifery through its scholarships and by establishing a network of chairs in clinical nursing practice research. The Florence Nightingale Foundation also provides leadership scholarships to deans and aspiring deans of university faculties of health. It is from these perspectives that the case is made for investment in clinical academic roles and the development of career pathways that embrace the art and science of nursing.
Multi-EMR Structured Data Entry Form: User-Acceptance Testing of a Prototype.
Zavar, Abbas; Keshavjee, Karim
2017-01-01
Capturing standardized data from multiple EMRs at the point of care is highly desirable for a variety of uses, including quality improvement programs, multi-centered clinical trials and clinical decision support. In this paper, we describe the design, development and user acceptance testing of a prototype web-based form (the Form) that can integrate with multiple EMRs. We used the validated UTAUT questionnaire to assess the likelihood of uptake of the Form into clinical practice. The Form was found to be easy to use, elicits low anxiety, supports productivity and is perceived to have good support. Users would benefit from training and from better social signaling about the importance of using the Form in their practice. Making the Form more fun and interesting could help increase uptake.
Kawamoto, Kensaku; Lobach, David F
2005-01-01
Despite their demonstrated ability to improve care quality, clinical decision support systems are not widely used. In part, this limited use is due to the difficulty of sharing medical knowledge in a machine-executable format. To address this problem, we developed a decision support Web service known as SEBASTIAN. In SEBASTIAN, individual knowledge modules define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions. Using standards-based XML messages transmitted over HTTP, client decision support applications provide patient data to SEBASTIAN and receive patient-specific assessments and recommendations. SEBASTIAN has been used to implement four distinct decision support systems; an architectural overview is provided for one of these systems. Preliminary assessments indicate that SEBASTIAN fulfills all original design objectives, including the re-use of executable medical knowledge across diverse applications and care settings, the straightforward authoring of knowledge modules, and use of the framework to implement decision support applications with significant clinical utility.
Design and development of a mobile system for supporting emergency triage.
Michalowski, W; Slowinski, R; Wilk, S; Farion, K J; Pike, J; Rubin, S
2005-01-01
Our objective was to design and develop a mobile clinical decision support system for emergency triage of different acute pain presentations. The system should interact with existing hospital information systems, run on mobile computing devices (handheld computers) and be suitable for operation in weak-connectivity conditions (with unstable connections between mobile clients and a server). The MET (Mobile Emergency Triage) system was designed following an extended client-server architecture. The client component, responsible for triage decision support, is built as a knowledge-based system, with domain ontology separated from generic problem solving methods and used for the automatic creation of a user interface. The MET system is well suited for operation in the Emergency Department of a hospital. The system's external interactions are managed by the server, while the MET clients, running on handheld computers are used by clinicians for collecting clinical data and supporting triage at the bedside. The functionality of the MET client is distributed into specialized modules, responsible for triaging specific types of acute pain presentations. The modules are stored on the server, and on request they can be transferred and executed on the mobile clients. The modular design provides for easy extension of the system's functionality. A clinical trial of the MET system validated the appropriateness of the system's design, and proved the usefulness and acceptance of the system in clinical practice. The MET system captures the necessary hospital data, allows for entry of patient information, and provides triage support. By operating on handheld computers, it fits into the regular emergency department workflow without introducing any hindrances or disruptions. It supports triage anytime and anywhere, directly at the point of care, and also can be used as an electronic patient chart, facilitating structured data collection.
Mercer, Susan L.; Coop, Andrew
2012-01-01
Chronic clinical pain remains poorly treated. Despite attempts to develop novel analgesic agents, opioids remain the standard analgesics of choice in the clinical management of chronic and severe pain. However, mu opioid analgesics have undesired side effects including, but not limited to, respiratory depression, physical dependence and tolerance. A growing body of evidence suggests that P-glycoprotein (P-gp), an efflux transporter, may contribute a systems-level approach to the development of opioid tolerance. Herein, we describe current in vitro and in vivo methodology available to analyze interactions between opioids and P-gp and critically analyze P-gp data associated with six commonly used mu opioids to include morphine, methadone, loperamide, meperidine, oxycodone, and fentanyl. Recent studies focused on the development of opioids lacking P-gp substrate activity are explored, concentrating on structure-activity relationship development to develop an optimal opioid analgesic lacking this systems-level contribution to tolerance development. Continued work in this area will potentially allow for delineation of the mechanism responsible for opioid-related P-gp up-regulation and provide further support for evidence based medicine supporting clinical opioid rotation. PMID:21050174
Clinical Practice Guideline Selection, Development, Implementation, and Evaluation
2000-02-01
interventions for a particular diagnosis” (Henning, 1997) developed by members of the hospital staff. They can be Clinical Practice Guidelines6 conceptualized...health care environment , it is more important than ever for health care organizations to select the most cost-effective procedures, and to continuously...of the studies regarding the targeted illness/injury will enable this team to identify those interventions strongly supported by significant
Evolution in Clinical Knowledge Management Strategy at Intermountain Healthcare
Hulse, Nathan C.; Galland, Joel; Borsato, Emerson P.
2012-01-01
In this manuscript, we present an overview of the clinical knowledge management strategy at Intermountain Healthcare in support of our electronic medical record systems. Intermountain first initiated efforts in developing a centralized enterprise knowledge repository in 2001. Applications developed, areas of emphasis served, and key areas of focus are presented. We also detail historical and current areas of emphasis, in response to business needs. PMID:23304309
Contemporary challenges for specialist nursing in interstitial lung disease
Russell, Anne Marie; Olive, Sandra; Lines, Sarah; Murphy, Anna; Hocking, Julie; Newell, Karen; Morris, Helen; Harris, Emma; Dixon, Catherine; Agnew, Sarah; Burge, Geraldine
2018-01-01
The role of clinical nurse specialists (CNSs) in interstitial lung disease (ILD) is evolving in response to clinical guidelines and the growth of clinical research. The role is well established in the UK, although more ILD posts are needed to ensure supply meets clinical demand. This phenomenon is also happening across Europe. An appreciation of the similarities and differences between CNS and advanced nurse practitioners is important given the challenges in defining, developing and supporting this nursing specialisation. Globally, different models exist. In some countries charitable organisations take a leading role in supporting patients. Many European centres look to the National Institute for Health and Care Excellence guidelines and quality standards as a template to develop and evaluate the role of the ILD CNS. We present a UK perspective in the context of a government subsidised healthcare system to promote professional discussion and debate regarding the future of nursing practice in the ILD specialty. Key points ILDs are often complex and associated with significant mortality, morbidity and co-morbid conditions that require a technical healthcare skill set There is worldwide shortage of nurses, low retention rates and retirement of many skilled nurses Collaboration across the ILD interdisciplinary community is needed to safeguard the future of our professions and high-quality patient care The ILD interdisciplinary and nurse network has identified key priorities to help secure the future of the ILD clinical and academic nurse specialism Educational aims To explain the similarities and differences between clinical nurse specialists (CNSs) and advanced nurse practitioners (ANPs) in the context of ILD specialism To review contemporary nursing specialism in the UK’s government subsidised healthcare system To stimulate discussion and debate across the European/international respiratory community regarding the clinical and academic development of the ILD CNS To identify key priorities that will support collaboration across the ILD interdisciplinary workforce in clinical practice and research PMID:29515666
Contemporary challenges for specialist nursing in interstitial lung disease.
Russell, Anne Marie; Olive, Sandra; Lines, Sarah; Murphy, Anna; Hocking, Julie; Newell, Karen; Morris, Helen; Harris, Emma; Dixon, Catherine; Agnew, Sarah; Burge, Geraldine
2018-03-01
The role of clinical nurse specialists (CNSs) in interstitial lung disease (ILD) is evolving in response to clinical guidelines and the growth of clinical research. The role is well established in the UK, although more ILD posts are needed to ensure supply meets clinical demand. This phenomenon is also happening across Europe. An appreciation of the similarities and differences between CNS and advanced nurse practitioners is important given the challenges in defining, developing and supporting this nursing specialisation. Globally, different models exist. In some countries charitable organisations take a leading role in supporting patients. Many European centres look to the National Institute for Health and Care Excellence guidelines and quality standards as a template to develop and evaluate the role of the ILD CNS. We present a UK perspective in the context of a government subsidised healthcare system to promote professional discussion and debate regarding the future of nursing practice in the ILD specialty. ILDs are often complex and associated with significant mortality, morbidity and co-morbid conditions that require a technical healthcare skill setThere is worldwide shortage of nurses, low retention rates and retirement of many skilled nursesCollaboration across the ILD interdisciplinary community is needed to safeguard the future of our professions and high-quality patient careThe ILD interdisciplinary and nurse network has identified key priorities to help secure the future of the ILD clinical and academic nurse specialism. To explain the similarities and differences between clinical nurse specialists (CNSs) and advanced nurse practitioners (ANPs) in the context of ILD specialismTo review contemporary nursing specialism in the UK's government subsidised healthcare systemTo stimulate discussion and debate across the European/international respiratory community regarding the clinical and academic development of the ILD CNSTo identify key priorities that will support collaboration across the ILD interdisciplinary workforce in clinical practice and research.
Van Wieren, Andrew; Palazuelos, Lindsay; Elliott, Patrick F; Arrieta, Jafet; Flores, Hugo; Palazuelos, Daniel
2014-01-01
The Mexican mandatory year of social service following medical school, or pasantía, is designed to provide a safety net for the underserved. However, social service physicians (pasantes) are typically unpracticed, unsupervised, and unsupported. Significant demotivation, absenteeism, and underperformance typically plague the social service year. Compañeros en Salud (CES) aimed to create an education-support package to turn the pasantía into a transformative learning experience. CES recruited pasantes to complete their pasantía in CES-supported Ministry of Health clinics in rural Chiapas. The program aims to: 1) train pasantes to more effectively deliver primary care, 2) expose pasantes to central concepts of global health and social medicine, and 3) foster career development of pasantes. Program components include supportive supervision, on-site mentorship, clinical information resources, monthly interactive seminars, and improved clinic function. We report quantitative and qualitative pasante survey data collected from February 2012 to August 2013 to discuss strengths and weaknesses of this program and its implications for the pasante workforce in Mexico. Pasantes reported that their medical knowledge, and clinical and leadership skills all improved during the CES education-support program. Most pasantes felt the program had an overall positive effect on their career goals and plans, although their self-report of preparedness for the Mexican residency entrance exam (ENARM) decreased during the social service year. One hundred percent reported they were satisfied with the CES-supported pasantía experience and wished to help the poor and underserved in their careers. Education-support programs similar to the CES program may encourage graduating medical students to complete their social service in underserved areas, improve the quality of care provided by pasantes, and address many of the known shortcomings of the pasantía. Additional efforts should focus on developing a strategy to expand this education-support model so that more pasantes throughout Mexico can experience a transformative, career-building, social service year.
Clinical governance and external audit.
Glazebrook, S G; Buchanan, J G
2001-01-01
This paper describes a model of clinical governance that was developed at South Auckland Health during the period 1995 to 2000. Clinical quality and safety are core objectives. A multidisciplinary Clinical Board is responsible for the development and publicising of sound clinical policies together with monitoring the effects of their implementation on quality and safety. The Clinical Board has several committees, including an organization-wide Continuous Quality Improvement Committee to enhance the explicit nature of the quality system in terms of structure, staff awareness and involvement, and to develop the internal audit system. The second stream stems from the Chief Medical Officer and clinical directors in a clinical management sense. The Audit Committee of the Board of Directors covers both clinical and financial audit. The reporting lines back to that committee are described and the role of the external auditor of clinical standards is explained. The aim has been to create a supportive culture where quality initiatives and innovation can flourish, and where the emphasis is not on censure but improvement.
An Environment for Guideline-based Decision Support Systems for Outpatients Monitoring.
Zini, Elisa M; Lanzola, Giordano; Bossi, Paolo; Quaglini, Silvana
2017-08-11
We propose an architecture for monitoring outpatients that relies on mobile technologies for acquiring data. The goal is to better control the onset of possible side effects between the scheduled visits at the clinic. We analyze the architectural components required to ensure a high level of abstraction from data. Clinical practice guidelines were formalized with Alium, an authoring tool based on the PROforma language, using SNOMED-CT as a terminology standard. The Alium engine is accessible through a set of APIs that may be leveraged for implementing an application based on standard web technologies to be used by doctors at the clinic. Data sent by patients using mobile devices need to be complemented with those already available in the Electronic Health Record to generate personalized recommendations. Thus a middleware pursuing data abstraction is required. To comply with current standards, we adopted the HL7 Virtual Medical Record for Clinical Decision Support Logical Model, Release 2. The developed architecture for monitoring outpatients includes: (1) a guideline-based Decision Support System accessible through a web application that helps the doctors with prevention, diagnosis and treatment of therapy side effects; (2) an application for mobile devices, which allows patients to regularly send data to the clinic. In order to tailor the monitoring procedures to the specific patient, the Decision Support System also helps physicians with the configuration of the mobile application, suggesting the data to be collected and the associated collection frequency that may change over time, according to the individual patient's conditions. A proof of concept has been developed with a system for monitoring the side effects of chemo-radiotherapy in head and neck cancer patients. Our environment introduces two main innovation elements with respect to similar works available in the literature. First, in order to meet the specific patients' needs, in our work the Decision Support System also helps the physicians in properly configuring the mobile application. Then the Decision Support System is also continuously fed by patient-reported outcomes.
Understanding clinical work practices for cross-boundary decision support in e-health.
Tawfik, Hissam; Anya, Obinna; Nagar, Atulya K
2012-07-01
One of the major concerns of research in integrated healthcare information systems is to enable decision support among clinicians across boundaries of organizations and regional workgroups. A necessary precursor, however, is to facilitate the construction of appropriate awareness of local clinical practices, including a clinician's actual cognitive capabilities, peculiar workplace circumstances, and specific patient-centered needs based on real-world clinical contexts across work settings. In this paper, a user-centered study aimed to investigate clinical practices across three different geographical areas-the U.K., the UAE and Nigeria-is presented. The findings indicate that differences in clinical practices among clinicians are associated with differences in local work contexts across work settings, but are moderated by adherence to best practice guidelines and the need for patient-centered care. The study further reveals that an awareness especially of the ontological, stereotypical, and situated practices plays a crucial role in adapting knowledge for cross-boundary decision support. The paper then outlines a set of design guidelines for the development of enterprise information systems for e-health. Based on the guidelines, the paper proposes the conceptual design of CaDHealth, a practice-centered framework for making sense of clinical practices across work settings for effective cross-boundary e-health decision support.
Glegg, Stephanie M N; Livingstone, Roslyn; Montgomery, Ivonne
2016-01-01
Lack of time, competencies, resources and supports are documented as barriers to evidence-based practice (EBP). This paper introduces a recently developed web-based toolkit designed to assist interprofessional clinicians in implementing EBP within a paediatric rehabilitation setting. EBP theory, models, frameworks and tools were applied or adapted in the development of the online resources, which formed the basis of a larger support strategy incorporating interactive workshops, knowledge broker facilitation and mentoring. The highly accessed toolkit contains flowcharts with embedded information sheets, resources and templates to streamline, quantify and document outcomes throughout the EBP process. Case examples relevance to occupational therapy and physical therapy highlight the utility and application of the toolkit in a clinical paediatric setting. Workshops were highly rated by learners for clinical relevance, presentation level and effectiveness. Eight evidence syntheses have been created and 79 interventions have been evaluated since the strategy's inception in January 2011. The toolkit resources streamlined and supported EBP processes, promoting consistency in quality and presentation of outputs. The online toolkit can be a useful tool to facilitate clinicians' use of EBP in order to meet the needs of the clients and families whom they support. Implications for Rehabilitation A comprehensive online EBP toolkit for interprofessional clinicians is available to streamline the EBP process and to support learning needs regardless of competency level. Multi-method facilitation support, including interactive education, e-learning, clinical librarian services and knowledge brokering, is a valued but cost-restrictive supplement to the implementation of online EBP resources. EBP resources are not one-size-fits-all; targeted appraisal tools, models and frameworks may be integrated to improve their utility for specific sectors, which may limit them for others.
Spronk, Inge; Burgers, Jako S; Schellevis, François G; van Vliet, Liesbeth M; Korevaar, Joke C
2018-05-11
Shared decision-making (SDM) in the management of metastatic breast cancer care is associated with positive patient outcomes. In daily clinical practice, however, SDM is not fully integrated yet. Initiatives to improve the implementation of SDM would be helpful. The aim of this review was to assess the availability and effectiveness of tools supporting SDM in metastatic breast cancer care. Literature databases were systematically searched for articles published since 2006 focusing on the development or evaluation of tools to improve information-provision and to support decision-making in metastatic breast cancer care. Internet searches and experts identified additional tools. Data from included tools were extracted and the evaluation of tools was appraised using the GRADE grading system. The literature search yielded five instruments. In addition, two tools were identified via internet searches and consultation of experts. Four tools were specifically developed for supporting SDM in metastatic breast cancer, the other three tools focused on metastatic cancer in general. Tools were mainly applicable across the care process, and usable for decisions on supportive care with or without chemotherapy. All tools were designed for patients to be used before a consultation with the physician. Effects on patient outcomes were generally weakly positive although most tools were not studied in well-designed studies. Despite its recognized importance, only two tools were positively evaluated on effectiveness and are available to support patients with metastatic breast cancer in SDM. These tools show promising results in pilot studies and focus on different aspects of care. However, their effectiveness should be confirmed in well-designed studies before implementation in clinical practice. Innovation and development of SDM tools targeting clinicians as well as patients during a clinical encounter is recommended.
Web Tools for Distributed Clinical Case Conferencing
Lober, WB; Li, H; Trigg, LJ; Stewart, BK; Chou, D
2001-01-01
We have developed an information system to support distributed clinical case conferences held via video conferencing. The system has been designed by studying physicians of several specialties presenting hematology-oncology patients at Tumor Board. However, the principles of clinical case presentation are similar across many medical specialties, and we believe our approach has general applicability for presenting image and other clinical information, and organizing it for subsequent re-use in teaching files.
Liaw, Siaw-Teng; Deveny, Elizabeth; Morrison, Iain; Lewis, Bryn
2006-09-01
Using a factorial vignette survey and modeling methodology, we developed clinical and information models - incorporating evidence base, key concepts, relevant terms, decision-making and workflow needed to practice safely and effectively - to guide the development of an integrated rule-based knowledge module to support prescribing decisions in asthma. We identified workflows, decision-making factors, factor use, and clinician information requirements. The Unified Modeling Language (UML) and public domain software and knowledge engineering tools (e.g. Protégé) were used, with the Australian GP Data Model as the starting point for expressing information needs. A Web Services service-oriented architecture approach was adopted within which to express functional needs, and clinical processes and workflows were expressed in the Business Process Execution Language (BPEL). This formal analysis and modeling methodology to define and capture the process and logic of prescribing best practice in a reference implementation is fundamental to tackling deficiencies in prescribing decision support software.
Zhang, Yonghong; Sun, Weihong; Gutchell, Emily M; Kvecher, Leonid; Kohr, Joni; Bekhash, Anthony; Shriver, Craig D; Liebman, Michael N; Mural, Richard J; Hu, Hai
2013-01-01
In clinical and translational research as well as clinical trial projects, clinical data collection is prone to errors such as missing data, and misinterpretation or inconsistency of the data. A good quality assurance (QA) program can resolve many such errors though this requires efficient communications between the QA staff and data collectors. Managing such communications is critical to resolving QA problems but imposes a major challenge for a project involving multiple clinical and data processing sites. We have developed a QA issue tracking (QAIT) system to support clinical data QA in the Clinical Breast Care Project (CBCP). This web-based application provides centralized management of QA issues with role-based access privileges. It has greatly facilitated the QA process and enhanced the overall quality of the CBCP clinical data. As a stand-alone system, QAIT can supplement any other clinical data management systems and can be adapted to support other projects. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
Federal Register 2010, 2011, 2012, 2013, 2014
2011-08-24
...The Food and Drug Administration (FDA) is announcing the availability of a draft guidance for industry entitled ``Neglected Tropical Diseases of the Developing World: Developing Drugs for Treatment or Prevention.'' The purpose of this guidance is to assist sponsors in the clinical development of drugs for the treatment or prevention of neglected diseases of the developing world. Specifically, this guidance addresses FDA's current thinking regarding the overall drug development program for the treatment or prevention of neglected tropical diseases (NTDs), including clinical trial designs and internal review standards to support approval of drugs.
Nurses’ Clinical Judgment Development: A Qualitative Research in Iran
Seidi, Jamal; Alhani, Fatemeh; Salsali, Mahvash
2015-01-01
Background: Clinical judgment development is necessary because it leads to appropriate nursing diagnoses, clinical decision-making and health promotion. Objectives: In this study we explored the process of Iranian nurses’ development in clinical judgment. Patients and Methods: This qualitative study was conducted in 2013 at hospitals of Kurdistan University of Medical Sciences, located in the Sanandaj city of Iran. The data were collected based on semi-structured interviews and the study included 24 participants. Data analysis was carried out concurrently with data collection using the grounded theory method. Results: The study participants’ main concern was ‘being non-professional in clinical judgment’. In response to this concern, they were struggling for gaining professional autonomy, striving for integrating clinical judgment skills, scrambling to make effective educational interventions and striving for professional and inter professional collaboration in clinical judgment. The core category was ‘struggling for becoming professional in clinical judgment development’. When nurses were supported professionally, they were able to develop their professional clinical judgment. Conclusions: The findings of this study provided critical information about nurses’ professionalization in clinical judgment. Accordingly, the participants adopted different strategies to develop their clinical judgment ability. Integrating these strategies into nursing theory and clinical education can improve nurses’ clinical judgment ability. PMID:26473075
Hoffman, James M; Dunnenberger, Henry M; Kevin Hicks, J; Caudle, Kelly E; Whirl Carrillo, Michelle; Freimuth, Robert R; Williams, Marc S; Klein, Teri E; Peterson, Josh F
2016-07-01
To move beyond a select few genes/drugs, the successful adoption of pharmacogenomics into routine clinical care requires a curated and machine-readable database of pharmacogenomic knowledge suitable for use in an electronic health record (EHR) with clinical decision support (CDS). Recognizing that EHR vendors do not yet provide a standard set of CDS functions for pharmacogenetics, the Clinical Pharmacogenetics Implementation Consortium (CPIC) Informatics Working Group is developing and systematically incorporating a set of EHR-agnostic implementation resources into all CPIC guidelines. These resources illustrate how to integrate pharmacogenomic test results in clinical information systems with CDS to facilitate the use of patient genomic data at the point of care. Based on our collective experience creating existing CPIC resources and implementing pharmacogenomics at our practice sites, we outline principles to define the key features of future knowledge bases and discuss the importance of these knowledge resources for pharmacogenomics and ultimately precision medicine. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Lisk, Kristina; Agur, Anne M R; Woods, Nicole N
2017-12-01
Several studies have shown that cognitive integration of basic and clinical sciences supports diagnostic reasoning in novices; however, there has been limited exploration of the ways in which educators can translate this model of mental activity into sound instructional strategies. The use of self-explanation during learning has the potential to promote and support the development of integrated knowledge by encouraging novices to elaborate on the causal relationship between clinical features and basic science mechanisms. To explore the effect of this strategy, we compared diagnostic efficacy of teaching students (n = 71) the clinical features of four musculoskeletal pathologies using either (1) integrated causal basic science descriptions (BaSci group); (2) integrated causal basic science descriptions combined with self-explanation prompts (SE group); (3) basic science mechanisms segregated from the clinical features (SG group). All participants completed a diagnostic accuracy test immediately after learning and 1-week later. The results showed that the BaSci group performed significantly better compared to the SE (p = 0.019) and SG groups (p = 0.004); however, no difference was observed between the SE and SG groups (p = 0.91). We hypothesize that the structure of the self-explanation task may not have supported the development of a holistic conceptual understanding of each disease. These findings suggest that integration strategies need to be carefully structured and applied in ways that support the holistic story created by integrated basic science instruction in order to foster conceptual coherence and to capitalize on the benefits of cognition integration.
Brown, Andrew D; Marotta, Thomas R
2017-02-01
Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural language processing (NLP) models to determine whether NLP techniques could be employed to aid in clinical decision support for protocoling and prioritization of magnetic resonance imaging (MRI) brain examinations. To test the feasibility of using an NLP model to support clinical decision making for MRI brain examinations, we designed three different medical imaging prediction tasks, each with a unique outcome: selecting an examination protocol, evaluating the need for contrast administration, and determining priority. We created three models for each prediction task, each using a different classification algorithm-random forest, support vector machine, or k-nearest neighbor-to predict outcomes based on the narrative clinical indications and demographic data associated with 13,982 MRI brain examinations performed from January 1, 2013 to June 30, 2015. Test datasets were used to calculate the accuracy, sensitivity and specificity, predictive values, and the area under the curve. Our optimal results show an accuracy of 82.9%, 83.0%, and 88.2% for the protocol selection, contrast administration, and prioritization tasks, respectively, demonstrating that predictive algorithms can be used to aid in clinical decision support for examination protocoling. NLP models developed from the narrative clinical information provided by referring clinicians and demographic data are feasible methods to predict the protocol and priority of MRI brain examinations. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
Arab, Lenore; Hahn, Harry; Henry, Judith; Chacko, Sara; Winter, Ashley; Cambou, Mary C
2010-03-01
Screening and tracking subjects and data management in clinical trials require significant investments in manpower that can be reduced through the use of web-based systems. To support a validation trial of various dietary assessment tools that required multiple clinic visits and eight repeats of online assessments, we developed an interactive web-based system to automate all levels of management of a biomarker-based clinical trial. The "Energetics System" was developed to support 1) the work of the study coordinator in recruiting, screening and tracking subject flow, 2) the need of the principal investigator to review study progress, and 3) continuous data analysis. The system was designed to automate web-based self-screening into the trial. It supported scheduling tasks and triggered tailored messaging for late and non-responders. For the investigators, it provided real-time status overviews on all subjects, created electronic case reports, supported data queries and prepared analytic data files. Encryption and multi-level password protection were used to insure data privacy. The system was programmed iteratively and required six months of a web programmer's time along with active team engagement. In this study the enhancement in speed and efficiency of recruitment and quality of data collection as a result of this system outweighed the initial investment. Web-based systems have the potential to streamline the process of recruitment and day-to-day management of clinical trials in addition to improving efficiency and quality. Because of their added value they should be considered for trials of moderate size or complexity. Copyright 2009 Elsevier Inc. All rights reserved.
Clinical Definitions of Melioidosis
Cheng, Allen C.; Currie, Bart J.; Dance, David A. B.; Funnell, Simon G. P.; Limmathurotsakul, Direk; Simpson, Andrew J. H.; Peacock, Sharon J.
2013-01-01
Clinical definitions of melioidosis and inhalation-acquired melioidosis (Burkholderia pseudomallei infection) are described together with the evidence used to develop these definitions. Such definitions support accurate public health reporting, preparedness planning for deliberate B. pseudomallei release, design of experimental models, and categorization of naturally acquired melioidosis. PMID:23468355
A change roadmap towards research paradigm in low-resource countries: retinoblastoma model in Egypt.
Alfaar, Ahmad Samir; Nour, Radwa; Bakry, Mohamed Sabry; Kamal, Mohamed; Hassanain, Omneya; Labib, Rania M; Rashed, Wafaa M; Elzomor, Hossam; Alieldin, Adel; Taha, Hala; Zaghloul, Mohamed Saad; Ezzat, Sameera; AboElnaga, Sherif
2017-02-01
Research on childhood diseases represents a great global challenge. This challenge is maximized in both childhood cancer disciplines and developing world. In this paper, we aim at describing our institution experience in starting a structured childhood cancer research program in one of the developing countries in a short time based on philanthropic efforts. We used retinoblastoma as an example for what was conducted in this program. Starting in 2008, this program included improving clinical practice and its related supporting services besides developing new research services that both complement the clinical activities and pave the way towards creating a research foundation in the country. Results included developing hospital standard treatment protocols, developing national clinical trials, joining international consortia for childhood cancers clinical trials, developing data collection tools and real-time analytics, establishing a biobanking facility, and developing highly qualified team for conducting clinical, epidemiologic, and translational research studies. Moreover, this effort resulted in improving both clinical practice and patients' awareness nationally. This model can be used for other startup facilities that aim at finding answers for their national health problems in low-resource setting.
Zhou, Li; Hongsermeier, Tonya; Boxwala, Aziz; Lewis, Janet; Kawamoto, Kensaku; Maviglia, Saverio; Gentile, Douglas; Teich, Jonathan M; Rocha, Roberto; Bell, Douglas; Middleton, Blackford
2013-01-01
At present, there are no widely accepted, standard approaches for representing computer-based clinical decision support (CDS) intervention types and their structural components. This study aimed to identify key requirements for the representation of five widely utilized CDS intervention types: alerts and reminders, order sets, infobuttons, documentation templates/forms, and relevant data presentation. An XML schema was proposed for representing these interventions and their core structural elements (e.g., general metadata, applicable clinical scenarios, CDS inputs, CDS outputs, and CDS logic) in a shareable manner. The schema was validated by building CDS artifacts for 22 different interventions, targeted toward guidelines and clinical conditions called for in the 2011 Meaningful Use criteria. Custom style sheets were developed to render the XML files in human-readable form. The CDS knowledge artifacts were shared via a public web portal. Our experience also identifies gaps in existing standards and informs future development of standards for CDS knowledge representation and sharing.
2012-01-01
Abstract Principal investigators who received Clinical and Translational Science Awards created academic homes for biomedical research. They developed program‐supported websites to offer coordinated access to a range of core facilities and other research resources. Visitors to the 60 websites will find at least 170 generic services, which this review has categorized in the following seven areas: (1) core facilities, (2) biomedical informatics, (3) funding, (4) regulatory knowledge and support, (5) biostatistics, epidemiology, research design, and ethics, (6) participant and clinical interaction resources, and (7) community engagement. In addition, many websites facilitate access to resources with search engines, navigators, studios, project development teams, collaboration tools, communication systems, and teaching tools. Each of these websites may be accessed from a single site, http://www.CTSAcentral.org. The ability to access the research resources from 60 of the nation's academic health centers presents a novel opportunity for investigators engaged in clinical and translational research. Clin Trans Sci 2012; Volume #: 1–5 PMID:22376262
Rosenblum, Daniel
2012-02-01
Principal investigators who received Clinical and Translational Science Awards created academic homes for biomedical research. They developed program-supported websites to offer coordinated access to a range of core facilities and other research resources. Visitors to the 60 websites will find at least 170 generic services, which this review has categorized in the following seven areas: (1) core facilities, (2) biomedical informatics, (3) funding, (4) regulatory knowledge and support, (5) biostatistics, epidemiology, research design, and ethics, (6) participant and clinical interaction resources, and (7) community engagement. In addition, many websites facilitate access to resources with search engines, navigators, studios, project development teams, collaboration tools, communication systems, and teaching tools. Each of these websites may be accessed from a single site, http://www.CTSAcentral.org. The ability to access the research resources from 60 of the nation's academic health centers presents a novel opportunity for investigators engaged in clinical and translational research. © 2012 Wiley Periodicals, Inc.
Gillespie, Mary; Shackell, Eileen
2017-11-01
In nursing education, physiological concepts are typically presented within a body 'systems' framework yet learners are often challenged to apply this knowledge in the holistic and functional manner needed for effective clinical decision-making and safe patient care. A nursing faculty addressed this learning challenge by developing an advanced organizer as a conceptual and integrative learning tool to support learners in diverse learning environments and practice settings. A mixed methods research study was conducted that explored the effectiveness of the Oxygen Supply and Demand Framework as a learning tool in undergraduate nursing education. A pretest/post-test assessment and reflective journal were used to gather data. Findings indicated the Oxygen Supply and Demand Framework guided the development of pattern recognition and thinking processes and supported knowledge development, knowledge application and clinical decision-making. The Oxygen Supply and Demand Framework supports undergraduate students learning to provide safe and effective nursing care. Copyright © 2017 Elsevier Ltd. All rights reserved.
Development and Validation of Personality Disorder Spectra Scales for the MMPI-2-RF.
Sellbom, Martin; Waugh, Mark H; Hopwood, Christopher J
2018-01-01
The purpose of this study was to develop and validate a set of MMPI-2-RF (Ben-Porath & Tellegen, 2008/2011) personality disorder (PD) spectra scales. These scales could serve the purpose of assisting with DSM-5 PD diagnosis and help link categorical and dimensional conceptions of personality pathology within the MMPI-2-RF. We developed and provided initial validity results for scales corresponding to the 10 PD constructs listed in the DSM-5 using data from student, community, clinical, and correctional samples. Initial validation efforts indicated good support for criterion validity with an external PD measure as well as with dimensional personality traits included in the DSM-5 alternative model for PDs. Construct validity results using psychosocial history and therapists' ratings in a large clinical sample were generally supportive as well. Overall, these brief scales provide clinicians using MMPI-2-RF data with estimates of DSM-5 PD constructs that can support cross-model connections between categorical and dimensional assessment approaches.
Sintek, Marc A.; Gdowski, Mark; Lindman, Brian R.; Nassif, Michael; Lavine, Kory J.; Novak, Eric; Bach, Richard G.; Silvestry, Scott C.; Mann, Douglas L.; Joseph, Susan M.
2015-01-01
Objective To characterize the clinical response and identify predictors of clinical stabilization after intra-aortic balloon counterpulsation (IABP) support in patients with chronic systolic heart failure in cardiogenic shock prior to implantation of a left ventricular assist device (LVAD). Background Limited data exist regarding the clinical response to IABP in patients with chronic heart failure in cardiogenic shock. Methods We identified 54 patients supported with IABP prior to LVAD implantation. Criteria for clinical decompensation after IABP insertion and before LVAD included the need for more advanced temporary support, initiation of mechanical ventilation or dialysis, increase in vasopressors/inotropes, refractory ventricular arrhythmias, or worsening acidosis. The absence of these indicated stabilization. Results Clinical decompensation after IABP occurred in 23 (43%) patients. Both patients who decompensated and those who stabilized had similar hemodynamic improvements after IABP support but patients who decompensated required more vasopressors/inotropes. Clinical decompensation after IABP was associated with worse outcomes after LVAD implantation, including a 3-fold longer intensive care unit stay and 5-fold longer time on mechanical ventilation (p<0.01 for both). While baseline characteristics were similar between groups, right and left ventricular cardiac power indices (Cardiac power Index= Cardiac Index × Mean arterial pressure / 451)identified patients who were likely to stabilize (AUC=0.82). Conclusions Among patients with chronic systolic heart failure who develop cardiogenic shock, more than half of patients stabilized with IABP support as a bridge to LVAD. Baseline measures of right and left ventricular cardiac power, both measures of work performed for a given flow and pressure, may allow clinicians to identify patients with sufficient contractile reserve who will be likely to stabilize with an IABP versus those who may need more aggressive ventricular support. PMID:26164215
Schuur, Eric; Angel Aristizabal, Javier; Bargallo Rocha, Juan Enrique; Cabello, Cesar; Elizalde, Roberto; García‐Estévez, Laura; Gomez, Henry L.; Katz, Artur; Nuñez De Pierro, Aníbal
2017-01-01
Risk stratification of patients with early stage breast cancer may support adjuvant chemotherapy decision‐making. This review details the development and validation of six multi‐gene classifiers, each of which claims to provide useful prognostic and possibly predictive information for early stage breast cancer patients. A careful assessment is presented of each test's analytical validity, clinical validity, and clinical utility, as well as the quality of evidence supporting its use. PMID:28211064
Mackereth, Peter A; White, Keven; Cawthorn, Anne; Lynch, Barbara
2005-06-01
The aim of this paper is to briefly examine the contemporary phenomenon of "burnout" within oncology and palliative care. In discussing the suitable interventions to manage stress and avoid burnout, reference will be made to counselling and clinical supervision, but more substantially the paper will report on an innovative subsidised complementary therapy service for staff. The Government's Improving Working Lives Standard will be referred as an initiative that supports the development of supportive services for NHS staff.
Disorders of sex development: Mothers' experiences of support.
Chivers, Clare; Burns, Jan; Deiros Collado, Martha
2017-10-01
An increasing body of research has sought to determine the impact of Disorders of Sex Development (DSD) on the family of the affected child. Little is currently understood about the support needs of the family and how well these needs are met. Interpretive Phenomenological Analysis was used to analyse semi-structured interviews with eight mothers of children with DSD about their experiences of support. Four master themes emerged which encapsulated (a) the stages in their child's development when mothers most needed support, (b) the importance of developing an understanding of the child's condition, (c) the lack of acknowledgement of the emotional needs of the parent and (d) the importance of having close and trusted networks for support. Continuity and availability of support were considered important and while all participants prioritised maintaining privacy about the condition, a minority felt that this impacted the level of support they received. Key time points for support were identified and while some felt that they were well supported others felt that the support available did not meet their emotional needs. Clinical implications and directions for future research were considered.
ICONE: An International Consortium of Neuro Endovascular Centres.
Raymond, J; White, P; Kallmes, D F; Spears, J; Marotta, T; Roy, D; Guilbert, F; Weill, A; Nguyen, T; Molyneux, A J; Cloft, H; Cekirge, S; Saatci, I; Bracard, S; Meder, J F; Moret, J; Cognard, C; Qureshi, A I; Turk, A S; Berenstein, A
2008-06-30
The proliferation of new endovascular devices and therapeutic strategies calls for a prudentand rational evaluation of their clinical benefit. This evaluation must be done in an effective manner and in collaboration with industry. Such research initiative requires organisation a land methodological support to survive and thrive in a competitive environment. We propose the formation of an international consortium, an academic alliance committed to the pursuit of effective neurovascular therapies. Such a consortium would be dedicated to the designand execution of basic science, device developmentand clinical trials. The Consortium is owned and operated by its members. Members are international leaders in neurointerventional research and clinical practice. The Consortium brings competency, knowledge, and expertise to industry as well as to its membership across aspectrum of research initiatives such as: expedited review of clinical trials, protocol development, surveys and systematic reviews; laboratory expertise and support for research design and grant applications to public agencies. Once objectives and protocols are approved, the Consortium provides a stable network of centers capable of timely realization of clinical trials or pre clinical investigations in an optimal environment. The Consortium is a non-profit organization. The potential revenue generated from clientsponsored financial agreements will be redirected to the academic and research objectives of the organization. The Consortium wishes to work inconcert with industry, to support emerging trends in neurovascular therapeutic development. The Consortium is a realistic endeavour optimally structured to promote excellence through scientific appraisal of our treatments, and to accelerate technical progress while maximizing patients' safety and welfare.
Development of a public health reporting data warehouse: lessons learned.
Rizi, Seyed Ali Mussavi; Roudsari, Abdul
2013-01-01
Data warehouse projects are perceived to be risky and prone to failure due to many organizational and technical challenges. However, often iterative and lengthy processes of implementation of data warehouses at an enterprise level provide an opportunity for formative evaluation of these solutions. This paper describes lessons learned from successful development and implementation of the first phase of an enterprise data warehouse to support public health surveillance at British Columbia Centre for Disease Control. Iterative and prototyping approach to development, overcoming technical challenges of extraction and integration of data from large scale clinical and ancillary systems, a novel approach to record linkage, flexible and reusable modeling of clinical data, and securing senior management support at the right time were the main factors that contributed to the success of the data warehousing project.
Nurse-Moderated Internet-Based Support for New Mothers: Non-Inferiority, Randomized Controlled Trial
Reece, Christy E; Bowering, Kerrie; Jeffs, Debra; Sawyer, Alyssa C P; Mittinty, Murthy; Lynch, John W
2017-01-01
Background Internet-based interventions moderated by community nurses have the potential to improve support offered to new mothers, many of whom now make extensive use of the Internet to obtain information about infant care. However, evidence from population-based randomized controlled trials is lacking. Objective The aim of this study was to test the non-inferiority of outcomes for mothers and infants who received a clinic-based postnatal health check plus nurse-moderated, Internet-based group support when infants were aged 1-7 months as compared with outcomes for those who received standard care consisting of postnatal home-based support provided by a community nurse. Methods The design of the study was a pragmatic, preference, non-inferiority randomized control trial. Participants were recruited from mothers contacted for their postnatal health check, which is offered to all mothers in South Australia. Mothers were assigned either (1) on the basis of their preference to clinic+Internet or home-based support groups (n=328), or (2) randomly assigned to clinic+Internet or home-based groups if they declared no strong preference (n=491). The overall response rate was 44.8% (819/1827). The primary outcome was parenting self-competence, as measured by the Parenting Stress Index (PSI) Competence subscale, and the Karitane Parenting Confidence Scale scores. Secondary outcome measures included PSI Isolation, Interpersonal Support Evaluation List–Short Form, Maternal Support Scale, Ages and Stages Questionnaire–Social-Emotional and MacArthur Communicative Development Inventory (MCDI) scores. Assessments were completed offline via self-assessment questionnaires at enrolment (mean child age=4.1 weeks, SD 1.3) and again when infants were aged 9, 15, and 21 months. Results Generalized estimating equations adjusting for post-randomization baseline imbalances showed that differences in outcomes between mothers in the clinic+Internet and home-based support groups did not exceed the pre-specified margin of inferiority (0.25 of a SD) on any outcome measure at any follow-up assessment, with the exception of MCDI scores assessing children’s language development at 21 months for randomized mothers, and PSI Isolation scores at 9 months for preference mothers. Conclusion Maternal and child outcomes from a clinic-based postnatal health check plus nurse-moderated Internet-based support were not inferior to those achieved by a universal home-based postnatal support program. Postnatal maternal and infant support using the Internet is a promising alternative to home-based universal support programs. Trial Registration Australian New Zealand Clinical Trials Registry Number (ANZCTR): ACTRN12613000204741; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363712&isReview=true (Archived by WebCite at http://www.webcitation.org/6rZeCJ3k1) PMID:28739559
Protocol Coordinator | Center for Cancer Research
PROGRAM DESCRIPTION Within the Leidos Biomedical Research Inc.’s Clinical Research Directorate, the Clinical Monitoring Research Program (CMRP) provides high-quality comprehensive and strategic operational support to the high-profile domestic and international clinical research initiatives of the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases (NIAID), Clinical Center (CC), National Institute of Heart, Lung and Blood Institute (NHLBI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Center for Advancing Translational Sciences (NCATS), National Institute of Neurological Disorders and Stroke (NINDS), and the National Institute of Mental Health (NIMH). Since its inception in 2001, CMRP’s ability to provide rapid responses, high-quality solutions, and to recruit and retain experts with a variety of backgrounds to meet the growing research portfolios of NCI, NIAID, CC, NHLBI, NIAMS, NCATS, NINDS, and NIMH has led to the considerable expansion of the program and its repertoire of support services. CMRP’s support services are strategically aligned with the program’s mission to provide comprehensive, dedicated support to assist National Institutes of Health researchers in providing the highest quality of clinical research in compliance with applicable regulations and guidelines, maintaining data integrity, and protecting human subjects. For the scientific advancement of clinical research, CMRP services include comprehensive clinical trials, regulatory, pharmacovigilance, protocol navigation and development, and programmatic and project management support for facilitating the conduct of 400+ Phase I, II, and III domestic and international trials on a yearly basis. These trials investigate the prevention, diagnosis, treatment of, and therapies for cancer, influenza, HIV, and other infectious diseases and viruses such as hepatitis C, tuberculosis, malaria, and Ebola virus; heart, lung, and blood diseases and conditions; parasitic infections; rheumatic and inflammatory diseases; and rare and neglected diseases. CMRP’s collaborative approach to clinical research and the expertise and dedication of staff to the continuation and success of the program’s mission has contributed to improving the overall standards of public health on a global scale. The Clinical Monitoring Research Program (CMRP) provides comprehensive clinical and administrative support to the National Cancer Institute’s Center for Cancer Research’s (CCR), Office of Regulatory Affairs for protocol development review, regulatory review, and the implementation process as well as oversees medical writing/editing, regulatory/ compliance, and protocol coordination/navigation and administration. KEY ROLES/RESPONSIBILITIES - THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL The Protocol Coordinator II: Provides programmatic and logistical support for the operations of clinical research for Phase I and Phase II clinical trials Provides deployment of clinical support services for clinical research Streamlines protocol development timeline Provides data and document collection and compilation for regulatory filing with the FDA and other regulatory authorities Provides administrative coordination and general logistical support for regulatory activities Ensures the provision of training for investigators and associate staff to reinforce and enhance a GCP culture Provides quality assurance and quality control oversight Performs regulatory review of clinical protocols, informed consent and other clinical documents Tracks and facilitates a portfolio of protocols through each process step (IRB, RAC, DSMB, Office of Protocol Services) Assists clinical investigators in preparing clinical research protocols, including writing and formatting protocol documents and consent forms Prepares protocol packages for review and ensures that protocol packages include all of the required material and comply with CCR, NCI and NIH policies Collaborates with investigators to resolve any protocol/data issues Coordinates submission of protocols for scientific and ethical review by the Branch scientific review committees, the NCI Institutional Review Board (IRB) and the clinical trial sponsor or the FDA Monitors the review process and maintains detailed, complete and accurate records for each protocol of the approvals at the various stages of the review process, including new protocol submissions, amendments to protocols, and continuing reviews, as well as other submissions such as adverse events Attends and prepares minutes for the Branch Protocol Review Committees For protocols that are performed with other research centers: contacts coordinators at other centers to obtain review committee approvals at these centers, maintains records of these approvals at the outside centers in the protocol files, and sends protocol amendments and other reports to the participating centers Maintains a schedule of all review committee submission deadline dates and meeting dates Assists clinical investigators in understanding and complying with the entire review process Works closely with the NCI Protocol Review Office in establishing and maintaining a paperless automated document management and tracking system for NCI protocols Converts protocols from Word format to PDF with bookmarks Maintains the PDF version of the most current approved version of each active clinical protocol on a central server This position has the option to be located in Frederick or Rockville, Maryland.
Design and implementation of the GLIF3 guideline execution engine.
Wang, Dongwen; Peleg, Mor; Tu, Samson W; Boxwala, Aziz A; Ogunyemi, Omolola; Zeng, Qing; Greenes, Robert A; Patel, Vimla L; Shortliffe, Edward H
2004-10-01
We have developed the GLIF3 Guideline Execution Engine (GLEE) as a tool for executing guidelines encoded in the GLIF3 format. In addition to serving as an interface to the GLIF3 guideline representation model to support the specified functions, GLEE provides defined interfaces to electronic medical records (EMRs) and other clinical applications to facilitate its integration with the clinical information system at a local institution. The execution model of GLEE takes the "system suggests, user controls" approach. A tracing system is used to record an individual patient's state when a guideline is applied to that patient. GLEE can also support an event-driven execution model once it is linked to the clinical event monitor in a local environment. Evaluation has shown that GLEE can be used effectively for proper execution of guidelines encoded in the GLIF3 format. When using it to execute each guideline in the evaluation, GLEE's performance duplicated that of the reference systems implementing the same guideline but taking different approaches. The execution flexibility and generality provided by GLEE, and its integration with a local environment, need to be further evaluated in clinical settings. Integration of GLEE with a specific event-monitoring and order-entry environment is the next step of our work to demonstrate its use for clinical decision support. Potential uses of GLEE also include quality assurance, guideline development, and medical education.
Planning: supporting and optimizing clinical guidelines execution.
Anselma, Luca; Montani, Stefania
2008-01-01
A crucial feature of computerized clinical guidelines (CGs) lies in the fact that they may be used not only as conventional documents (as if they were just free text) describing general procedures that users have to follow. In fact, thanks to a description of their actions and control flow in some semiformal representation language, CGs can also take advantage of Computer Science methods and Information Technology infrastructures and techniques, to become executable documents, in the sense that they may support clinical decision making and clinical procedures execution. In order to reach this goal, some advanced planning techniques, originally developed within the Artificial Intelligence (AI) community, may be (at least partially) resorted too, after a proper adaptation to the specific CG needs has been carried out.
Kamal, Jyoti; Liu, Jianhua; Ostrander, Michael; Santangelo, Jennifer; Dyta, Ravi; Rogers, Patrick; Mekhjian, Hagop S
2010-11-13
Since its inception in 1997, the IW (Information Warehouse) at the Ohio State University Medical Center (OSUMC) has gradually transformed itself from a single purpose business decision support system to a comprehensive informatics platform supporting basic, clinical, and translational research. The IW today is the combination of four integrated components: a clinical data repository containing over a million patients; a research data repository housing various research specific data; an application development platform for building business and research enabling applications; a business intelligence environment assisting in reporting in all function areas. The IW is structured and encoded using standard terminologies such as SNOMED-CT, ICD, and CPT. The IW is an important component of OSUMC's Clinical and Translational Science Award (CTSA) informatics program.
Doody, R
2017-01-01
Alzheimer's disease (AD) is a chronic neurodegenerative disease for which no preventative or disease-modifying treatments currently exist. Pathological hallmarks include amyloid plaques and neurofibrillary tangles composed of hyper-phosphorylated tau protein. Evidence suggests that both pathologies are self-propagating once established. However, the lag time between neuropathological changes in the brain and the onset of even subtle clinical symptomatology means that patients are often diagnosed late when pathology, and neurodegeneration secondary to these changes, may have been established for several years. Complex pathological pathways associated with susceptibility to AD and changes that occur downstream of the neuropathologic process further contribute to the challenging endeavour of developing novel disease-modifying therapy. Recognising this complexity, effective management of AD must include reliable screening and early diagnosis in combination with effective therapeutic management of the pathological processes. Roche and Genentech are committed to addressing these unmet needs through developing a comprehensive portfolio of diagnostics and novel therapies. Beginning with the most scientifically supported targets, this approach includes two targeted amyloid-β monoclonal antibody therapies, crenezumab and gantenerumab, and an anti-tau monoclonal antibody, RO7105705, as well as a robust biomarker platform to aid in the early identification of people at risk or in the early stages of AD. Identification and implementation of diagnostic tools will support the enrolment of patients into clinical trials; furthermore, these tools should also support evaluation of the clinical efficacy and safety profile of the novel therapeutic agents tested in these trials. This review discusses the therapeutic agents currently under clinical development.
NASA Astrophysics Data System (ADS)
Gordon, Marshall N.; Cha, Kenny H.; Hadjiiski, Lubomir M.; Chan, Heang-Ping; Cohan, Richard H.; Caoili, Elaine M.; Paramagul, Chintana; Alva, Ajjai; Weizer, Alon Z.
2018-02-01
We are developing a decision support system for assisting clinicians in assessment of response to neoadjuvant chemotherapy for bladder cancer. Accurate treatment response assessment is crucial for identifying responders and improving quality of life for non-responders. An objective machine learning decision support system may help reduce variability and inaccuracy in treatment response assessment. We developed a predictive model to assess the likelihood that a patient will respond based on image and clinical features. With IRB approval, we retrospectively collected a data set of pre- and post- treatment CT scans along with clinical information from surgical pathology from 98 patients. A linear discriminant analysis (LDA) classifier was used to predict the likelihood that a patient would respond to treatment based on radiomic features extracted from CT urography (CTU), a radiologist's semantic feature, and a clinical feature extracted from surgical and pathology reports. The classification accuracy was evaluated using the area under the ROC curve (AUC) with a leave-one-case-out cross validation. The classification accuracy was compared for the systems based on radiomic features, clinical feature, and radiologist's semantic feature. For the system based on only radiomic features the AUC was 0.75. With the addition of clinical information from examination under anesthesia (EUA) the AUC was improved to 0.78. Our study demonstrated the potential of designing a decision support system to assist in treatment response assessment. The combination of clinical features, radiologist semantic features and CTU radiomic features improved the performance of the classifier and the accuracy of treatment response assessment.
Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy.
Dhombres, Ferdinand; Maurice, Paul; Friszer, Stéphanie; Guilbaud, Lucie; Lelong, Nathalie; Khoshnood, Babak; Charlet, Jean; Perrot, Nicolas; Jauniaux, Eric; Jurkovic, Davor; Jouannic, Jean-Marie
2017-01-31
Ectopic pregnancy is a frequent early complication of pregnancy associated with significant rates of morbidly and mortality. The positive diagnosis of this condition is established through transvaginal ultrasound scanning. The timing of diagnosis depends on the operator expertise in identifying the signs of ectopic pregnancy, which varies dramatically among medical staff with heterogeneous training. Developing decision support systems in this context is expected to improve the identification of these signs and subsequently improve the quality of care. In this article, we present a new knowledge base for ectopic pregnancy, and we demonstrate its use on the annotation of clinical images. The knowledge base is supported by an application ontology, which provides the taxonomy, the vocabulary and definitions for 24 types and 81 signs of ectopic pregnancy, 484 anatomical structures and 32 technical elements for image acquisition. The knowledge base provides a sign-centric model of the domain, with the relations of signs to ectopic pregnancy types, anatomical structures and the technical elements. The evaluation of the ontology and knowledge base demonstrated a positive feedback from a panel of 17 medical users. Leveraging these semantic resources, we developed an application for the annotation of ultrasound images. Using this application, 6 operators achieved a precision of 0.83 for the identification of signs in 208 ultrasound images corresponding to 35 clinical cases of ectopic pregnancy. We developed a new ectopic pregnancy knowledge base for the annotation of ultrasound images. The use of this knowledge base for the annotation of ultrasound images of ectopic pregnancy showed promising results from the perspective of clinical decision support system development. Other gynecological disorders and fetal anomalies may benefit from our approach.
Pitkänen, Salla; Kääriäinen, Maria; Oikarainen, Ashlee; Tuomikoski, Anna-Maria; Elo, Satu; Ruotsalainen, Heidi; Saarikoski, Mikko; Kärsämänoja, Taina; Mikkonen, Kristina
2018-03-01
The purpose of clinical placements and supervision is to promote the development of healthcare students´ professional skills. High-quality clinical learning environments and supervision were shown to have significant influence on healthcare students´ professional development. This study aimed to describe healthcare students` evaluation of the clinical learning environment and supervision, and to identify the factors that affect these. The study was performed as a cross-sectional study. The data (n = 1973) were gathered through an online survey using the Clinical Learning Environment, Supervision and Nurse Teacher scale during the academic year 2015-2016 from all healthcare students (N = 2500) who completed their clinical placement at a certain university hospital in Finland. The data were analysed using descriptive statistics and binary logistic regression analysis. More than half of the healthcare students had a named supervisor and supervision was completed as planned. The students evaluated the clinical learning environment and supervision as 'good'. The students´ readiness to recommend the unit to other students and the frequency of separate private unscheduled sessions with the supervisor were the main factors that affect healthcare students` evaluation of the clinical learning environment and supervision. Individualized and goal-oriented supervision in which the student had a named supervisor and where supervision was completed as planned in a positive environment that supported learning had a significant impact on student's learning. The clinical learning environment and supervision support the development of future healthcare professionals' clinical competence. The supervisory relationship was shown to have a significant effect on the outcomes of students' experiences. We recommend the planning of educational programmes for supervisors of healthcare students for the enhancement of supervisors' pedagogical competencies in supervising students in the clinical practice. Copyright © 2018 Elsevier Ltd. All rights reserved.
Rankin, J; McGuire, C; Matthews, L; Russell, M; Ray, D
2016-04-01
To explore the experiences of senior charge nurses provided with 'increased supervisory hours'. Designated supervisory time is essential for senior charge nurses to provide effective clinical leadership. It is important to explore the impact arises of such an increase. An online questionnaire collected exploratory data from senior charge nurses (n = 60). Semi-structured interviews gathered in-depth qualitative data (n = 12). Findings were analysed for common themes associated with implementation of the increased senior charge nurse supervisory role. The majority of senior charge nurses were unable to use their full allocation of supervisory time. They struggled to accomplish leadership goals because of managing staffing levels, increased workload, time constraints and limited support. Factors that facilitated the role included preparation and support, adequate staff capacity, effective leadership skills and availability of supervisory time. The senior charge nurses took pride in providing clinical leadership, promoting staff development and delivering patient care. Support, in terms of preparation, capacity building and ongoing mentoring, was a key factor for achieving senior charge nurse goals. Senior charge nurses should be supported to maximise supervisory time through the provision of an induction programme, formal coaching and ongoing training and development. Preparation and support is essential for senior charge nurses to deliver enhanced clinical leadership through increased supervisory time. © 2015 The Authors Journal of Nursing Management Published by John Wiley & Sons Ltd.
Bioartificial liver: current status.
Pless, G; Sauer, I M
2005-11-01
Liver failure remains a life-threatening syndrome. With the growing disparity between the number of suitable donor organs and the number of patients awaiting transplantation, efforts have been made to optimize the allocation of organs, to find alternatives to cadaveric liver transplantation, and to develop extracorporeal methods to support or replace the function of the failing organ. An extracorporeal liver support system has to provide the main functions of the liver: detoxification, synthesis, and regulation. The understanding that the critical issue of the clinical syndrome in liver failure is the accumulation of toxins not cleared by the failing liver led to the development of artificial filtration and adsorption devices (artificial liver support). Based on this hypothesis, the removal of lipophilic, albumin-bound substances, such as bilirubin, bile acids, metabolites of aromatic amino acids, medium-chain fatty acids, and cytokines, should be beneficial to the clinical course of a patient in liver failure. Artificial detoxification devices currently under clinical evaluation include the Molecular Adsorbent Recirculating System (MARS), Single-Pass Albumin Dialysis (SPAD), and the Prometheus system. The complex tasks of regulation and synthesis remain to be addressed by the use of liver cells (bioartificial liver support). The Extracorporeal Liver Assist Device (ELAD), HepatAssist, Modular Extracorporeal Liver Support system (MELS), and the Amsterdam Medical Center Bioartificial Liver (AMC-BAL) are bioartificial systems. This article gives a brief overview on these artificial and bioartificial devices and discusses remaining obstacles.
Grethe, Jeffrey S; Baru, Chaitan; Gupta, Amarnath; James, Mark; Ludaescher, Bertram; Martone, Maryann E; Papadopoulos, Philip M; Peltier, Steven T; Rajasekar, Arcot; Santini, Simone; Zaslavsky, Ilya N; Ellisman, Mark H
2005-01-01
Through support from the National Institutes of Health's National Center for Research Resources, the Biomedical Informatics Research Network (BIRN) is pioneering the use of advanced cyberinfrastructure for medical research. By synchronizing developments in advanced wide area networking, distributed computing, distributed database federation, and other emerging capabilities of e-science, the BIRN has created a collaborative environment that is paving the way for biomedical research and clinical information management. The BIRN Coordinating Center (BIRN-CC) is orchestrating the development and deployment of key infrastructure components for immediate and long-range support of biomedical and clinical research being pursued by domain scientists in three neuroimaging test beds.
Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet
2017-06-01
This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.
The Defence Medical Library Service and military medicine.
Walker, S B
2005-01-01
The Defence Medical Library Service (DMLS) supports the clinical practice and career development of military health professionals across the world. Clinical governance and the need for medical knowledge to be evidence-based means the DMLS has a central role to play in support of defence medicine. The DMLS is important for enabling health professionals to make sense of the evidence-based pyramid and the hierarchy of medical knowledge. The Royal Centre for Defence Medicine (RCDM) in Birmingham is recognised as an international centre of excellence. The information, knowledge and research requirements of the RCDM will provide opportunities for the DMLS to support and engage with the academic community.
Liebe, J D; Hübner, U; Straede, M C; Thye, J
2015-01-01
Availability and usage of individual IT applications have been studied intensively in the past years. Recently, IT support of clinical processes is attaining increasing attention. The underlying construct that describes the IT support of clinical workflows is clinical information logistics. This construct needs to be better understood, operationalised and measured. It is therefore the aim of this study to propose and develop a workflow composite score (WCS) for measuring clinical information logistics and to examine its quality based on reliability and validity analyses. We largely followed the procedural model of MacKenzie and colleagues (2011) for defining and conceptualising the construct domain, for developing the measurement instrument, assessing the content validity, pretesting the instrument, specifying the model, capturing the data and computing the WCS and testing the reliability and validity. Clinical information logistics was decomposed into the descriptors data and information, function, integration and distribution, which embraced the framework validated by an analysis of the international literature. This framework was refined selecting representative clinical processes. We chose ward rounds, pre- and post-surgery processes and discharge as sample processes that served as concrete instances for the measurements. They are sufficiently complex, represent core clinical processes and involve different professions, departments and settings. The score was computed on the basis of data from 183 hospitals of different size, ownership, location and teaching status. Testing the reliability and validity yielded encouraging results: the reliability was high with r(split-half) = 0.89, the WCS discriminated between groups; the WCS correlated significantly and moderately with two EHR models and the WCS received good evaluation results by a sample of chief information officers (n = 67). These findings suggest the further utilisation of the WCS. As the WCS does not assume ideal workflows as a gold standard but measures IT support of clinical workflows according to validated descriptors a high portability of the WCS to other hospitals in other countries is very likely. The WCS will contribute to a better understanding of the construct clinical information logistics.
A blended learning approach to teaching CVAD care and maintenance.
Hainey, Karen; Kelly, Linda J; Green, Audrey
2017-01-26
Nurses working within both acute and primary care settings are required to care for and maintain central venous access devices (CVADs). To support these nurses in practice, a higher education institution and local health board developed and delivered CVAD workshops, which were supported by a workbook and competency portfolio. Following positive evaluation of the workshops, an electronic learning (e-learning) package was also introduced to further support this clinical skill in practice. To ascertain whether this blended learning approach to teaching CVAD care and maintenance prepared nurses for practice, the learning package was evaluated through the use of electronic questionnaires. Results highlighted that the introduction of the e-learning package supported nurses' practice, and increased their confidence around correct clinical procedures.
Prasanna, Pataje G. S.; Narayanan, Deepa; Hallett, Kory; Bernhard, Eric J.; Ahmed, Mansoor M.; Evans, Gregory; Vikram, Bhadrasain; Weingarten, Michael; Coleman, C. Norman
2015-01-01
Although radiation therapy is an important cancer treatment modality, patients may experience adverse effects. The use of a radiation-effect modulator may help improve the outcome and health-related quality of life (HRQOL) of patients undergoing radiation therapy either by enhancing tumor cell killing or by protecting normal tissues. Historically, the successful translation of radiation-effect modulators to the clinic has been hindered due to the lack of focused collaboration between academia, pharmaceutical companies and the clinic, along with limited availability of support for such ventures. The U.S. Government has been developing medical countermeasures against accidental and intentional radiation exposures to mitigate the risk and/or severity of acute radiation syndrome (ARS) and the delayed effects of acute radiation exposures (DEARE), and there is now a drug development pipeline established. Some of these medical countermeasures could potentially be repurposed for improving the outcome of radiation therapy and HRQOL of cancer patients. With the objective of developing radiation-effect modulators to improve radiotherapy, the Small Business Innovation Research (SBIR) Development Center at the National Cancer Institute (NCI), supported by the Radiation Research Program (RRP), provided funding to companies from 2011 to 2014 through the SBIR contracts mechanism. Although radiation-effect modulators collectively refer to radioprotectors, radiomitigators and radiosensitizers, the focus of this article is on radioprotection and mitigation of radiation injury. This specific SBIR contract opportunity strengthened existing partnerships and facilitated new collaborations between academia and industry. In this commentary, we assess the impact of this funding opportunity, outline the review process, highlight the organ/site-specific disease needs in the clinic for the development of radiation-effect modulators, provide a general understanding of a framework for gathering preclinical and clinical evidence to obtain regulatory approval and provide a basis for broader venture capital needs and support from pharmaceutical companies to fully capitalize on the advances made thus far in this field. PMID:26284423
Prasanna, Pataje G S; Narayanan, Deepa; Hallett, Kory; Bernhard, Eric J; Ahmed, Mansoor M; Evans, Gregory; Vikram, Bhadrasain; Weingarten, Michael; Coleman, C Norman
2015-09-01
Although radiation therapy is an important cancer treatment modality, patients may experience adverse effects. The use of a radiation-effect modulator may help improve the outcome and health-related quality of life (HRQOL) of patients undergoing radiation therapy either by enhancing tumor cell killing or by protecting normal tissues. Historically, the successful translation of radiation-effect modulators to the clinic has been hindered due to the lack of focused collaboration between academia, pharmaceutical companies and the clinic, along with limited availability of support for such ventures. The U.S. Government has been developing medical countermeasures against accidental and intentional radiation exposures to mitigate the risk and/or severity of acute radiation syndrome (ARS) and the delayed effects of acute radiation exposures (DEARE), and there is now a drug development pipeline established. Some of these medical countermeasures could potentially be repurposed for improving the outcome of radiation therapy and HRQOL of cancer patients. With the objective of developing radiation-effect modulators to improve radiotherapy, the Small Business Innovation Research (SBIR) Development Center at the National Cancer Institute (NCI), supported by the Radiation Research Program (RRP), provided funding to companies from 2011 to 2014 through the SBIR contracts mechanism. Although radiation-effect modulators collectively refer to radioprotectors, radiomitigators and radiosensitizers, the focus of this article is on radioprotection and mitigation of radiation injury. This specific SBIR contract opportunity strengthened existing partnerships and facilitated new collaborations between academia and industry. In this commentary, we assess the impact of this funding opportunity, outline the review process, highlight the organ/site-specific disease needs in the clinic for the development of radiation-effect modulators, provide a general understanding of a framework for gathering preclinical and clinical evidence to obtain regulatory approval and provide a basis for broader venture capital needs and support from pharmaceutical companies to fully capitalize on the advances made thus far in this field.
[The Italian instrument evaluating the nursing students clinical learning quality].
Palese, Alvisa; Grassetti, Luca; Mansutti, Irene; Destrebecq, Anne; Terzoni, Stefano; Altini, Pietro; Bevilacqua, Anita; Brugnolli, Anna; Benaglio, Carla; Dal Ponte, Adriana; De Biasio, Laura; Dimonte, Valerio; Gambacorti, Benedetta; Fasci, Adriana; Grosso, Silvia; Mantovan, Franco; Marognolli, Oliva; Montalti, Sandra; Nicotera, Raffaela; Randon, Giulia; Stampfl, Brigitte; Tollini, Morena; Canzan, Federica; Saiani, Luisa; Zannini, Lucia
2017-01-01
. The Clinical Learning Quality Evaluation Index for nursing students. The Italian nursing programs, the need to introduce tools evaluating the quality of the clinical learning as perceived by nursing students. Several tools already exist, however, several limitations suggesting the need to develop a new tool. A national project aimed at developing and validating a new instrument capable of measuring the clinical learning quality as experience by nursing students. A validation study design was undertaken from 2015 to 2016. All nursing national programs (n=43) were invited to participate by including all nursing students attending regularly their clinical learning. The tool developed based upon a) literature, b) validated tools already established among other healthcare professionals, and c) consensus expressed by experts and nursing students, was administered to the eligible students. 9606 nursing in 27 universities (62.8%) participated. The psychometric properties of the new instrument ranged from good to excellent. According to the findings, the tool consists in 22 items and five factors: a) quality of the tutorial strategies, b) learning opportunities; c) safety and nursing care quality; d) self-direct learning; e) quality of the learning environment. The tool is already used. Its systematic adoption may support comparison among settings and across different programs; moreover, the tool may also support in accrediting new settings as well as in measuring the effects of strategies aimed at improving the quality of the clinical learning.
Guidelines: the do's, don'ts and don't knows of feedback for clinical education.
Lefroy, Janet; Watling, Chris; Teunissen, Pim W; Brand, Paul
2015-12-01
The guidelines offered in this paper aim to amalgamate the literature on formative feedback into practical Do's, Don'ts and Don't Knows for individual clinical supervisors and for the institutions that support clinical learning. The authors built consensus by an iterative process. Do's and Don'ts were proposed based on authors' individual teaching experience and awareness of the literature, and the amalgamated set of guidelines were then refined by all authors and the evidence was summarized for each guideline. Don't Knows were identified as being important questions to this international group of educators which if answered would change practice. The criteria for inclusion of evidence for these guidelines were not those of a systematic review, so indicators of strength of these recommendations were developed which combine the evidence with the authors' consensus. A set of 32 Do and Don't guidelines with the important Don't Knows was compiled along with a summary of the evidence for each. These are divided into guidelines for the individual clinical supervisor giving feedback to their trainee (recommendations about both the process and the content of feedback) and guidelines for the learning culture (what elements of learning culture support the exchange of meaningful feedback, and what elements constrain it?) Feedback is not easy to get right, but it is essential to learning in medicine, and there is a wealth of evidence supporting the Do's and warning against the Don'ts. Further research into the critical Don't Knows of feedback is required. A new definition is offered: Helpful feedback is a supportive conversation that clarifies the trainee's awareness of their developing competencies, enhances their self-efficacy for making progress, challenges them to set objectives for improvement, and facilitates their development of strategies to enable that improvement to occur.
Ghitza, Udi E; Gore-Langton, Robert E; Lindblad, Robert; Shide, David; Subramaniam, Geetha; Tai, Betty
2013-01-01
Electronic health records (EHRs) are essential in improving quality and enhancing efficiency of health-care delivery. By 2015, medical care receiving service reimbursement from US Centers for Medicare and Medicaid Services (CMS) must show 'meaningful use' of EHRs. Substance use disorders (SUD) are grossly under-detected and under-treated in current US medical care settings. Hence, an urgent need exists for improved identification of and clinical intervention for SUD in medical settings. The National Institute on Drug Abuse Clinical Trials Network (NIDA CTN) has leveraged its infrastructure and expertise and brought relevant stakeholders together to develop consensus on brief screening and initial assessment tools for SUD in general medical settings, with the objective of incorporation into US EHRs. Stakeholders were identified and queried for input and consensus on validated screening and assessment for SUD in general medical settings to develop common data elements to serve as shared resources for EHRs on screening, brief intervention and referral to treatment (SBIRT), with the intent of supporting interoperability and data exchange in a developing Nationwide Health Information Network. Through consensus of input from stakeholders, a validated screening and brief assessment instrument, supported by Clinical Decision Support tools, was chosen to be used at out-patient general medical settings. The creation and adoption of a core set of validated common data elements and the inclusion of such consensus-based data elements for general medical settings will enable the integration of SUD treatment within mainstream health care, and support the adoption and 'meaningful use' of the US Office of the National Coordinator for Health Information Technology (ONC)-certified EHRs, as well as CMS reimbursement. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.
Online interprofessional health sciences education: From theory to practice.
Luke, Robert; Solomon, Patty; Baptiste, Sue; Hall, Pippa; Orchard, Carole; Rukholm, Ellen; Carter, Lorraine
2009-01-01
Online learning (e-learning) has a nascent but established history. Its application to interprofessional education (IPE), however, is relatively new. Over the past 2 decades the Internet has been used increasingly to mediate education. We have come past the point of "should we use the Internet for education" to "how should we use the Internet for education." Research has begun on the optimal development of online learning environments to support IPE. Developing online IPE should follow best practices in e-learning generally, though there are some special considerations for acknowledging the interprofessional context and clinical environments that online IPE is designed to support. The design, development, and deployment of effective online IPE must therefore pay special attention to the particular constraints of the health care worker educational matrix, both pre- and postlicensure. In this article we outline the design of online, interprofessional health sciences education. Our work has involved 4 educational and 4 clinical service institutions. We establish the context in which we situate our development activities that created learning modules designed to support IPE and its transfer into new interprofessional health care practices. We illustrate some best practices for the design of effective online IPE, and show how this design can create effective learning for IPE. Challenges exist regarding the full implementation of interprofessional clinical practice that are beginning to be met by coordinated efforts of multiple health care education silos.
Data standards for clinical research data collection forms: current status and challenges.
Richesson, Rachel L; Nadkarni, Prakash
2011-05-01
Case report forms (CRFs) are used for structured-data collection in clinical research studies. Existing CRF-related standards encompass structural features of forms and data items, content standards, and specifications for using terminologies. This paper reviews existing standards and discusses their current limitations. Because clinical research is highly protocol-specific, forms-development processes are more easily standardized than is CRF content. Tools that support retrieval and reuse of existing items will enable standards adoption in clinical research applications. Such tools will depend upon formal relationships between items and terminological standards. Future standards adoption will depend upon standardized approaches for bridging generic structural standards and domain-specific content standards. Clinical research informatics can help define tools requirements in terms of workflow support for research activities, reconcile the perspectives of varied clinical research stakeholders, and coordinate standards efforts toward interoperability across healthcare and research data collection.
Preterm piglets are a clinically relevant model of pediatric GI disease
USDA-ARS?s Scientific Manuscript database
The goal of our research is to establish how nutritional support, enteral versus parenteral, affects gut function and susceptibility to disease in early development. We and others have used the neonatal pig to establish unique models of clinically relevant problems in pediatric gastroenterology, esp...
Supporting Clinical Practice Candidates in Learning Community Development
ERIC Educational Resources Information Center
DeJarnette, Nancy K.; Sudeck, Maria
2015-01-01
The purpose of this qualitative research study was to monitor pre-service teacher candidates' progression and implementation of the learning community philosophy along with classroom management strategies. The study took place during their final semester of clinical practice. Data were collected from self-reports, surveys, university supervisor…
ERIC Educational Resources Information Center
Richardson, Janet; Ainsworth, Roberta; Allison, Rhoda; Billyard, Jo; Corley, Reine; Viner, Jane
2008-01-01
Advanced clinical practice roles are now an integral feature of many healthcare services and have been adopted in a diversity of areas. However, mentoring of these roles is not well documented in the literature and formal mechanisms of support are limited. An action learning set (ALS) was developed to provide support for consultants currently in…
2013-01-01
Background The clinical pathway is a tool that operationalizes best evidence recommendations and clinical practice guidelines in an accessible format for ‘point of care’ management by multidisciplinary health teams in hospital settings. While high-quality, expert-developed clinical pathways have many potential benefits, their impact has been limited by variable implementation strategies and suboptimal research designs. Best strategies for implementing pathways into hospital settings remain unknown. This study will seek to develop and comprehensively evaluate best strategies for effective local implementation of externally developed expert clinical pathways. Design/methods We will develop a theory-based and knowledge user-informed intervention strategy to implement two pediatric clinical pathways: asthma and gastroenteritis. Using a balanced incomplete block design, we will randomize 16 community emergency departments to receive the intervention for one clinical pathway and serve as control for the alternate clinical pathway, thus conducting two cluster randomized controlled trials to evaluate this implementation intervention. A minimization procedure will be used to randomize sites. Intervention sites will receive a tailored strategy to support full clinical pathway implementation. We will evaluate implementation strategy effectiveness through measurement of relevant process and clinical outcomes. The primary process outcome will be the presence of an appropriately completed clinical pathway on the chart for relevant patients. Primary clinical outcomes for each clinical pathway include the following: Asthma—the proportion of asthmatic patients treated appropriately with corticosteroids in the emergency department and at discharge; and Gastroenteritis—the proportion of relevant patients appropriately treated with oral rehydration therapy. Data sources include chart audits, administrative databases, environmental scans, and qualitative interviews. We will also conduct an overall process evaluation to assess the implementation strategy and an economic analysis to evaluate implementation costs and benefits. Discussion This study will contribute to the body of evidence supporting effective strategies for clinical pathway implementation, and ultimately reducing the research to practice gaps by operationalizing best evidence care recommendations through effective use of clinical pathways. Trial registration ClinicalTrials.gov: NCT01815710 PMID:23692634
Tanner, S; Albisser Schleger, H; Meyer-Zehnder, B; Schnurrer, V; Reiter-Theil, S; Pargger, H
2014-06-01
High-tech medicine and cost rationing provoke moral distress up to burnout syndromes. The consequences are severe, not only for those directly involved but also for the quality of patient care and the institutions. The multimodal model METAP (Modular, Ethical, Treatment, Allocation, Process) was developed as clinical everyday ethics to support the interprofessional ethical decision-making process. The distinctive feature of the model lays in education concerning ethics competence in dealing with difficult treatment decisions. METAP has been evaluated for quality testing. The research question of interest was whether METAP supports the handling of moral distress. The evaluation included 3 intensive care units and 3 geriatric units. In all, 33 single and 9 group interviews were held with 24 physicians, 44 nurses, and 9 persons from other disciplines. An additional questionnaire was completed by 122 persons (return rate 57%). Two-thirds of the interview answers and 55% of the questionnaire findings show that clinical everyday ethics supports the handling of moral distress, especially for interdisciplinary communication and collaboration and for the explanation and evaluation of treatment goals. METAP does not provide support for persons who are rarely confronted with ethical problems or have not applied the model long enough yet. To a certain degree, moral distress is unavoidable and must be addressed as an interprofessional problem. Herein, clinical everyday ethics may provide targeted support for ethical decision-making competence.
A Survey of the Current Situation of Clinical Biobanks in China.
Li, Haiyan; Ni, Mingyu; Wang, Peng; Wang, Xiaomin
2017-06-01
The development of biomedical research urgently needs the support of a large number of high-quality clinical biospecimens. Therefore, human biobanks at different levels have been established successively in China and other countries at a significantly increasing pace in recent years. To better understand the general current state of clinical biobanks in China, we surveyed 42 clinical biobanks based in hospitals and collected information involving their management systems, sharing mechanisms, quality control systems, and informational management systems using closed questionnaire methods. Based on our current information, there has not been such a large-scale survey in China. An understanding of the status and challenges current clinical biobanks face will provide valuable insights for the construction and sustainable development of higher quality clinical biobanks.
Marchigiano, Gail; Eduljee, Nina; Harvey, Kimberly
2011-01-01
Clinical assignments in nursing education provide opportunities for students to develop thinking skills vital to the effective delivery of patient care. The purpose of the present study was to examine students' perceived levels of confidence for using thinking skills when completing two types of clinical assignments. Clinical educators and managers are challenged to develop teaching and learning strategies that help students think critically and reflectively and transfer these skills into sound nursing practice. This study is based on the theoretical framework of critical thinking within the nursing process framework. Undergraduate nursing students (n=51) completed surveys indicating their confidence in using seven thinking skills for nursing care. Students indicated significantly more confidence when implementing the journal format as compared with the care plan format when analysing information, determining relevance, making connections, selecting appropriate information, applying relevant knowledge and evaluating outcomes. The findings of the present study propose a new approach for enhancing students' thinking skills. Journaling is an effective strategy for enhancing students' thinking skills. Nursing managers are in key organisational positions for supporting and promoting the use of the journal format and building supportive and collaborative learning environments for students to develop thinking skills for managing patient care. © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.
Lundberg, Ingrid E; Vencovsky, Jiri
2017-05-01
To discuss the needs for international collaborations between investigators in different disciplines working with myositis and with patients with myositis. Recent advances in detection of several myositis-specific autoantibodies that are associated with distinct clinical phenotypes, will enable studies in new well defined clinically homogenous subgroups of myositis This is likely to lead to development of new information on molecular pathogenesis that might be different in different myositis subgroups. Subgrouping patients according to autoantibody profile may also be important to assess outcome, to identify prognostic biomarkers and in clinical trials. As these are rare disorders international collaboration is essential to enrol large enough cohorts of the subgroups. To facilitate such collaboration we have developed a web-based international myositis register, www.euromyositis.eu, which includes validated outcome measures and patient reported outcome measures. This register is to support research but also to support decision-making in the clinic. We welcome investigators to join the Euromyositis register. Myositis is a heterogeneous disorder with varying treatment response and outcome. There is a high unmet need for new therapies which can only be achieved by increased knowledge on molecular disease mechanisms. Subgrouping patients according to autoantibody profile may be a new way forward to get a better understanding on disease mechanisms and to develop novel therapies.
Subramaniam, Anusuiya; Silong, Abu Daud; Uli, Jegak; Ismail, Ismi Arif
2015-08-13
Effective talent development requires robust supervision. However, the effects of supervisory styles (coaching, mentoring and abusive supervision) on talent development and the moderating effects of clinical learning environment in the relationship between supervisory styles and talent development among public hospital trainee doctors have not been thoroughly researched. In this study, we aim to achieve the following, (1) identify the extent to which supervisory styles (coaching, mentoring and abusive supervision) can facilitate talent development among trainee doctors in public hospital and (2) examine whether coaching, mentoring and abusive supervision are moderated by clinical learning environment in predicting talent development among trainee doctors in public hospital. A questionnaire-based critical survey was conducted among trainee doctors undergoing housemanship at six public hospitals in the Klang Valley, Malaysia. Prior permission was obtained from the Ministry of Health Malaysia to conduct the research in the identified public hospitals. The survey yielded 355 responses. The results were analysed using SPSS 20.0 and SEM with AMOS 20.0. The findings of this research indicate that coaching and mentoring supervision are positively associated with talent development, and that there is no significant relationship between abusive supervision and talent development. The findings also support the moderating role of clinical learning environment on the relationships between coaching supervision-talent development, mentoring supervision-talent development and abusive supervision-talent development among public hospital trainee doctors. Overall, the proposed model indicates a 26 % variance in talent development. This study provides an improved understanding on the role of the supervisory styles (coaching and mentoring supervision) on facilitating talent development among public hospital trainee doctors. Furthermore, this study extends the literature to better understand the effects of supervisory styles on trainee doctors' talent development are contigent on the trainee doctors' clinical learning environment. In summary, supervisors are stakeholders with the responsibility of facilitating learning conditions that hold sufficient structure and support to optimise the trainee doctors learning.
Thrasher, Ashley B; Walker, Stacy E; Hankemeier, Dorice A; Mulvihill, Thalia
2016-10-01
Many new athletic trainers (ATs) obtain graduate-assistant (GA) positions to gain more experience and professional development while being mentored by a veteran AT; however, GA ATs' perceptions of the supervisor's role in professional development are unknown. To explore the supervisor's role in the professional development of GAs in the collegiate setting. Qualitative study. Phone interviews. A total of 19 collegiate GAs (15 women, 4 men; average age = 23 ± 0.15 years; National Collegiate Athletic Association Division I = 13, II = 3, III = 2; National Association of Intercollegiate Athletics = 2; postprofessional athletic training program = 5). Data were collected via phone interviews and transcribed verbatim. Interviews were conducted until data saturation occurred. Data were analyzed through phenomenologic reduction. Trustworthiness was established via member checks and peer review. Three themes emerged: (1) GAs' expectations of supervisors, (2) professional development, and (3) mentoring and support. Participants expected their supervisors to provide mentorship, support, and feedback to help them improve their athletic training skills, but they also realized supervisors were busy with patient care responsibilities. Most participants felt their supervisors were available, but others believed their supervisors were too busy to provide support and feedback. Participants felt their supervisors provided professional development by teaching them new skills and socializing them into the profession. Furthermore, they thought their supervisors provided mentorship professionally, personally, and clinically. Supervisors supported the participants by standing behind them in clinical decisions and having open-door policies. The graduate assistantship allows new ATs to gain experience while pursuing professional development, mentorship, and support from a supervisor. The extent of development is highly dependent on the supervisor, but most supervisors mentor GAs. When looking for graduate assistantships, future GAs should seek positions in which supervisors actively provide mentoring and professional development.
Just-in-time coding of the problem list in a clinical environment.
Warren, J. J.; Collins, J.; Sorrentino, C.; Campbell, J. R.
1998-01-01
Clinically useful problem lists are essential to the CPR. Providing a terminology that is standardized and understood by all clinicians is a major challenge. UNMC has developed a lexicon to support their problem list. Using a just-in-time coding strategy, the lexicon is maintained and extended prospectively in a dynamic clinical environment. The terms in the lexicon are mapped to ICD-9-CM, NANDA, and SNOMED International classification schemes. Currently, the lexicon contains 12,000 terms. This process of development and maintenance of the lexicon is described. PMID:9929226
Cooke, Jo; Nancarrow, Susan; Dyas, Jane; Williams, Martin
2008-06-27
This paper describes an evaluation of an initiative to increase the research capability of clinical groups in primary and community care settings in a region of the United Kingdom. The 'designated research team' (DRT) approach was evaluated using indicators derived from a framework of six principles for research capacity building (RCB) which include: building skills and confidence, relevance to practice, dissemination, linkages and collaborations, sustainability and infrastructure development. Information was collated on the context, activities, experiences, outputs and impacts of six clinical research teams supported by Trent Research Development Support Unit (RDSU) as DRTs. Process and outcome data from each of the teams was used to evaluate the extent to which the DRT approach was effective in building research capacity in each of the six principles (as evidenced by twenty possible indicators of research capacity development). The DRT approach was found to be well aligned to the principles of RCB and generally effective in developing research capabilities. It proved particularly effective in developing linkages, collaborations and skills. Where research capacity was slow to develop, this was reflected in poor alignment between the principles of RCB and the characteristics of the team, their activities or environment. One team was unable to develop a research project and the funding was withdrawn at an early stage. For at least one individual in each of the remaining five teams, research activity was sustained beyond the funding period through research partnerships and funding successes. An enabling infrastructure, including being freed from clinical duties to undertake research, and support from senior management were found to be important determinants of successful DRT development. Research questions of DRTs were derived from practice issues and several projects generated outputs with potential to change daily practice, including the use of research evidence in practice and in planning service changes. The DRT approach was effective at RCB in teams situated in a supportive organisation and in particular, where team members could be freed from clinical duties and management backing was strong. The developmental stage of the team and the research experience of constituent members also appeared to influence success. The six principles of RCB were shown to be useful as a framework for both developing and evaluating RCB initiatives.
Development of mechanical circulatory support devices in China.
Wang, Wei; Zhu, De-Ming; Ding, Wen-Xiang
2009-11-01
Myocardial dysfunction leading to low cardiac output syndrome is a common clinical pathophysiological state. Currently, the use of mechanical circulatory support (MCS) is an essential aspect of the treatment of patients with cardiac failure. Several groups in China are engaged in the design and development of MCS devices. These devices can be classified as pulsatile, rotary, and total artificial heart (TAH). There are two types of pulsatile pump, which are driven by air (pneumatic). One of these pumps, the Luo-Ye pump, has been used clinically for short-term support since 1998. The other is a push-plate left ventricular device, which has a variable rate mode. Various rotary devices are classified into axial and centrifugal pumps, depending on the impeller geometry. Most rotary pumps are based on the maglev principle, and some types have been used clinically. Others are still being studied in the laboratory or in animal experiments. Furthermore, certain types of total implantable pump, such as the UJS-III axial pump and the UJS-IV aortic valvo-pump, have been developed. Only one type of TAH has been developed in China. The main constituents of this artificial heart are two axial pumps, two reservoir tanks mimicking the right and left atria, flow meters, two pressure gauges, and a resistance adaptor. Although the development of mechanical assist devices in China is still in a nascent stage, a number of different types of MCS devices are currently being studied.
Smart biomaterials design for tissue engineering and regenerative medicine.
Furth, Mark E; Atala, Anthony; Van Dyke, Mark E
2007-12-01
As a prominent tool in regenerative medicine, tissue engineering (TE) has been an active field of scientific research for nearly three decades. Clinical application of TE technologies has been relatively restricted, however, owing in part to the limited number of biomaterials that are approved for human use. While many excellent biomaterials have been developed in recent years, their translation into clinical practice has been slow. As a consequence, many investigators still employ biodegradable polymers that were first approved for use in humans over 30 years ago. During normal development tissue morphogenesis is heavily influenced by the interaction of cells with the extracellular matrix (ECM). Yet simple polymers, while providing architectural support for neo-tissue development, do not adequately mimic the complex interactions between adult stem and progenitor cells and the ECM that promote functional tissue regeneration. Future advances in TE and regenerative medicine will depend on the development of "smart" biomaterials that actively participate in the formation of functional tissue. Clinical translation of these new classes of biomaterials will be supported by many of the same evaluation tools as those developed and described by Professor David F. Williams and colleagues over the past 30 years.
Involving patients in clinical research: the Telescot Patient Panel.
Fairbrother, Peter; McCloughan, Lucy; Adam, Geraldine; Brand, Richard; Brown, Cecil; Watson, Mary; Cotter, Nicola; Mackellaig, Juliet; McKinstry, Brian
2016-06-01
To date, patient involvement in the development of clinical research work has been limited. In 2011, the Telescot research team commenced work on a feasibility trial to investigate home telemonitoring of blood pressure for people who have experienced stroke or transient ischaemic attack (TIA). The team decided to involve patients in the development of the research. To improve research design through patient involvement. A modified form of the 'Scrutiny Panel' approach was used to involve people who had stroke in the research project. The Patient Panel supported the research in three key ways: it informed patient communication; it presented patient perspectives on the applicability and usability of the intervention; and it guided the development of the qualitative study. The initiative was considered a positive experience for all. However, challenges were identified in terms of the time and cost implications of undertaking patient involvement. Importance is attached to adequate project planning and development, partnership working with community-based organizations and the necessity for clear role delineation between patients and professionals to enable effective collaborative working. The Telescot Patient Panel was beneficial in supporting the development of the feasibility trial. The Panel approach was considered transferable to other clinical research contexts. © 2013 John Wiley & Sons Ltd.
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
Dilly, Marc; Read, Emma K; Baillie, Sarah
Developing competence in clinical skills is important if graduates are to provide entry-level care, but it is dependent on having had sufficient hands-on practice. Clinical skills laboratories provide opportunities for students to learn on simulators and models in a safe environment and to supplement training with animals. Interest in facilities for developing veterinary clinical skills has increased in recent years as many veterinary colleges face challenges in training their students with traditional methods alone. For the present study, we designed a survey to gather information from established veterinary clinical skills laboratories with the aim of assisting others considering opening or expanding their own facility. Data were collated from 16 veterinary colleges in North America and Europe about the uses of their laboratory, the building and associated facilities, and the staffing, budgets, equipment, and supporting learning resources. The findings indicated that having a dedicated veterinary clinical skills laboratory is a relatively new initiative and that colleges have adopted a range of approaches to implementing and running the laboratory, teaching, and assessments. Major strengths were the motivation and positive characteristics of the staff involved, providing open access and supporting self-directed learning. However, respondents widely recognized the increasing demands placed on the facility to provide more space, equipment, and staff. There is no doubt that veterinary clinical skills laboratories are on the increase and provide opportunities to enhance student learning, complement traditional training, and benefit animal welfare.
Specialist clinics: a better way to care?
Mutch, W J
1992-01-01
A questionnaire on the development of specialist clinics was distributed to the members of the Association of British Neurologists and completed by 104 members (85 consultants). Half of the respondents already ran a specialist clinic. The same proportion felt that a Parkinsonism clinic would be useful despite the fact that only 20% stated that they would run one. It is argued that specialist clinics facilitate the effective management of conditions such as Parkinson's disease, especially if supported by a specialist nurse or other appropriate staff. PMID:1564504
A data-rich recruitment core to support translational clinical research.
Kost, Rhonda G; Corregano, Lauren M; Rainer, Tyler-Lauren; Melendez, Caroline; Coller, Barry S
2015-04-01
Underenrollment of clinical studies wastes resources and delays assessment of research discoveries. We describe the organization and impact of a centralized recruitment core delivering comprehensive recruitment support to investigators. The Rockefeller University Center for Clinical and Translational Science supports a centralized recruitment core, call center, Research Volunteer Repository, data infrastructure, and staff who provide expert recruitment services to investigators. During protocol development, consultations aim to optimize enrollment feasibility, develop recruitment strategy, budget, and advertising. Services during study conduct include advertising placement, repository queries, call management, prescreening, referral, and visit scheduling. Utilization and recruitment outcomes are tracked using dedicated software. For protocols receiving recruitment services during 2009-2013: median time from initiation of recruitment to the first enrolled participant was 10 days; of 4,047 first-time callers to the call center, 92% (n = 3,722) enrolled in the Research Volunteer Repository, with 99% retention; 23% of Repository enrollees subsequently enrolled in ≥1 research studies, with 89% retention. Of volunteers referred by repository queries, 49% (280/537) enrolled into the study, with 92% retained. Provision of robust recruitment infrastructure including expertise, a volunteer repository, data capture and real-time analysis accelerates protocol accrual. Application of recruitment science improves the quality of clinical investigation. © 2014 Wiley Periodicals, Inc.
Small steps to health: building sustainable partnerships in pediatric obesity care.
Pomietto, Mo; Docter, Alicia Dixon; Van Borkulo, Nicole; Alfonsi, Lorrie; Krieger, James; Liu, Lenna L
2009-06-01
Given the prevalence of childhood obesity and the limited support for preventing and managing obesity in primary care settings, the Seattle Children's Hospital's Children's Obesity Action Team has partnered with Steps to Health King County to develop a pediatric obesity quality-improvement project. Primary care clinics joined year-long quality-improvement collaboratives to integrate obesity prevention and management into the clinic setting by using the chronic-disease model. Sustainability was enhanced through integration at multiple levels by emphasizing small, consistent behavior changes and self-regulation of eating/feeding practices with children, teenagers, and families; building local community partnerships; and encouraging broader advocacy and policy change. Cultural competency and attention to disparities were integrated into quality-improvement efforts. . Participating clinics were able to increase BMI measurement and weight classification; integrate management of overweight/obese children and family and self-management support; and grow community collaborations. Over the course of 4 years, this project grew from a local effort involving 3 clinics to a statewide program recently adopted by the Washington State Department of Health. This model can be used by other states/regions to develop pediatric obesity quality-improvement programs to support the assessment, prevention, and management of childhood obesity. Furthermore, these health care efforts can be integrated into broader community-wide childhood-obesity action plans.
A Data‐Rich Recruitment Core to Support Translational Clinical Research
Corregano, Lauren M.; Rainer, Tyler‐Lauren; Melendez, Caroline; Coller, Barry S.
2014-01-01
Abstract Background Underenrollment of clinical studies wastes resources and delays assessment of research discoveries. We describe the organization and impact of a centralized recruitment core delivering comprehensive recruitment support to investigators. Methods The Rockefeller University Center for Clinical and Translational Science supports a centralized recruitment core, call center, Research Volunteer Repository, data infrastructure, and staff who provide expert recruitment services to investigators. During protocol development, consultations aim to optimize enrollment feasibility, develop recruitment strategy, budget, and advertising. Services during study conduct include advertising placement, repository queries, call management, prescreening, referral, and visit scheduling. Utilization and recruitment outcomes are tracked using dedicated software. Results For protocols receiving recruitment services during 2009–2013: median time from initiation of recruitment to the first enrolled participant was 10 days; of 4,047 first‐time callers to the call center, 92% (n = 3,722) enrolled in the Research Volunteer Repository, with 99% retention; 23% of Repository enrollees subsequently enrolled in ≥1 research studies, with 89% retention. Of volunteers referred by repository queries, 49% (280/537) enrolled into the study, with 92% retained. Conclusions Provision of robust recruitment infrastructure including expertise, a volunteer repository, data capture and real‐time analysis accelerates protocol accrual. Application of recruitment science improves the quality of clinical investigation. PMID:25381717
Patient-reported outcomes to support medical product labeling claims: FDA perspective.
Patrick, Donald L; Burke, Laurie B; Powers, John H; Scott, Jane A; Rock, Edwin P; Dawisha, Sahar; O'Neill, Robert; Kennedy, Dianne L
2007-01-01
This article concerns development and use of patient-reported outcomes (PROs) in clinical trials to evaluate medical products. A PRO is any report coming directly from patients, without interpretation by physicians or others, about how they function or feel in relation to a health condition and its therapy. PRO instruments are used to measure these patient reports. PROs provide a unique perspective on medical therapy, because some effects of a health condition and its therapy are known only to patients. Properly developed and evaluated PRO instruments also have the potential to provide more sensitive and specific measurements of the effects of medical therapies, thereby increasing the efficiency of clinical trials that attempt to measure the meaningful treatment benefits of those therapies. Poorly developed and evaluated instruments may provide misleading conclusions or data that cannot be used to support product labeling claims. We review selected major challenges from Food and Drug Administration's perspective in using PRO instruments, measures, and end points to support treatment benefit claims in product labeling. These challenges highlight the need for sponsors to formulate desired labeling claim(s) prospectively, to acquire and document information needed to support these claim(s), and to identify existing instruments or develop new and more appropriate PRO instruments for evaluating treatment benefit in the defined population in which they will seek claims.
Bradbury, Angela R; Patrick-Miller, Linda; Long, Jessica; Powers, Jacquelyn; Stopfer, Jill; Forman, Andrea; Rybak, Christina; Mattie, Kristin; Brandt, Amanda; Chambers, Rachelle; Chung, Wendy K; Churpek, Jane; Daly, Mary B; Digiovanni, Laura; Farengo-Clark, Dana; Fetzer, Dominique; Ganschow, Pamela; Grana, Generosa; Gulden, Cassandra; Hall, Michael; Kohler, Lynne; Maxwell, Kara; Merrill, Shana; Montgomery, Susan; Mueller, Rebecca; Nielsen, Sarah; Olopade, Olufunmilayo; Rainey, Kimberly; Seelaus, Christina; Nathanson, Katherine L; Domchek, Susan M
2015-06-01
Multiplex genetic testing, including both moderate- and high-penetrance genes for cancer susceptibility, is associated with greater uncertainty than traditional testing, presenting challenges to informed consent and genetic counseling. We sought to develop a new model for informed consent and genetic counseling for four ongoing studies. Drawing from professional guidelines, literature, conceptual frameworks, and clinical experience, a multidisciplinary group developed a tiered-binned genetic counseling approach proposed to facilitate informed consent and improve outcomes of cancer susceptibility multiplex testing. In this model, tier 1 "indispensable" information is presented to all patients. More specific tier 2 information is provided to support variable informational needs among diverse patient populations. Clinically relevant information is "binned" into groups to minimize information overload, support informed decision making, and facilitate adaptive responses to testing. Seven essential elements of informed consent are provided to address the unique limitations, risks, and uncertainties of multiplex testing. A tiered-binned model for informed consent and genetic counseling has the potential to address the challenges of multiplex testing for cancer susceptibility and to support informed decision making and adaptive responses to testing. Future prospective studies including patient-reported outcomes are needed to inform how to best incorporate multiplex testing for cancer susceptibility into clinical practice.Genet Med 17 6, 485-492.
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.
Wilson, Amanda; Silvester, Stephen; Woods, Karen
2014-05-01
Retaining regulated bioanalysis within AstraZeneca (AZ) is important for the effective delivery of nonclinical and clinical bioanalysis. The focus for the in-house team is the delivery of high-throughput bioanalysis and toxicokinetics support for investigational toxicology; however, by retaining GLP compliance, AZ will have an in-house understanding of every candidate drug that is progressed into development by supporting the first rodent GLP study for each project. The majority of nonclinical bioanalysis and all of the clinical bioanalysis are delivered by two external partnership models. This article describes the key benefits of retaining GLP compliance, the partnership interactions, discusses the management of non-GLP support in a GLP environment and how, having practical experience of regulatory facing method development, validation and study execution adds value to the AZ portfolio delivery.
Tu, Samson W; Hrabak, Karen M; Campbell, James R; Glasgow, Julie; Nyman, Mark A; McClure, Robert; McClay, James; Abarbanel, Robert; Mansfield, James G; Martins, Susana M; Goldstein, Mary K; Musen, Mark A
2006-01-01
Developing computer-interpretable clinical practice guidelines (CPGs) to provide decision support for guideline-based care is an extremely labor-intensive task. In the EON/ATHENA and SAGE projects, we formulated substantial portions of CPGs as computable statements that express declarative relationships between patient conditions and possible interventions. We developed query and expression languages that allow a decision-support system (DSS) to evaluate these statements in specific patient situations. A DSS can use these guideline statements in multiple ways, including: (1) as inputs for determining preferred alternatives in decision-making, and (2) as a way to provide targeted commentaries in the clinical information system. The use of these declarative statements significantly reduces the modeling expertise and effort required to create and maintain computer-interpretable knowledge bases for decision-support purpose. We discuss possible implications for sharing of such knowledge bases.
Supporting Common Ground Development in the Operation Room through Information Display Systems
Feng, Yuanyuan; Mentis, Helena M.
2016-01-01
Effective information sharing is crucial for clinical team coordination. Most information display systems have been designed to replace verbal communication. However, information may not be available for capture before a communication event and information needs often become clear and evident through an evolving discourse. Thus, to build tools to support clinical team in situ information sharing, we need a better understanding of how evolving information needs are identified and satisfied. In this study, we used sequential analysis techniques to explore the ways communication and information sharing events between an attending surgeon and a resident change throughout a laparoscopic surgery. We demonstrate how common ground is developed and maintained, and how information needs change through the efforts of grounding. From our findings, we suggest that the design for information display systems could encourage communication and support the articulation work that is necessary to accomplish the information sharing. PMID:28269936
Challenges faced in long term ventricular assist device support.
Ikegami, Hirohisa; Kurlansky, Paul; Takeda, Koji; Naka, Yoshifumi
2016-08-01
The development of ventricular assist device (VAD) has been one of the revolutionary advancements in end-stage heart failure management. Although the device has developed and improved significantly over the last few decades, we still face multiple challenges. This review will discuss quality of life, survival, and clinically encountered complications in patients with VAD support. The literature was extensively reviewed for studies describing the above topic area. We describe the impact of major challenges faced in VAD support and discuss their future and expectations. Expert commentary: The technological advancement of VADs has contributed to major improvement of overall survival, enhancement of quality of life and decrease of incidence of complications. It is expected that technologies will continue to evolve. At the same time, the indications for and timing of device implantation, and selection of device type are continuously important in clinical practice setting.
Thinking Together: Modeling Clinical Decision-Support as a Sociotechnical System
Hussain, Mustafa I.; Reynolds, Tera L.; Mousavi, Fatemeh E.; Chen, Yunan; Zheng, Kai
2017-01-01
Computerized clinical decision-support systems are members of larger sociotechnical systems, composed of human and automated actors, who send, receive, and manipulate artifacts. Sociotechnical consideration is rare in the literature. This makes it difficult to comparatively evaluate the success of CDS implementations, and it may also indicate that sociotechnical context receives inadequate consideration in practice. To facilitate sociotechnical consideration, we developed the Thinking Together model, a flexible diagrammatical means of representing CDS systems as sociotechnical systems. To develop this model, we examined the literature with the lens of Distributed Cognition (DCog) theory. We then present two case studies of vastly different CDSSs, one almost fully automated and the other with minimal automation, to illustrate the flexibility of the Thinking Together model. We show that this model, informed by DCog and the CDS literature, are capable of supporting both research, by enabling comparative evaluation, and practice, by facilitating explicit sociotechnical planning and communication. PMID:29854164
Supporting Common Ground Development in the Operation Room through Information Display Systems.
Feng, Yuanyuan; Mentis, Helena M
2016-01-01
Effective information sharing is crucial for clinical team coordination. Most information display systems have been designed to replace verbal communication. However, information may not be available for capture before a communication event and information needs often become clear and evident through an evolving discourse. Thus, to build tools to support clinical team in situ information sharing, we need a better understanding of how evolving information needs are identified and satisfied. In this study, we used sequential analysis techniques to explore the ways communication and information sharing events between an attending surgeon and a resident change throughout a laparoscopic surgery. We demonstrate how common ground is developed and maintained, and how information needs change through the efforts of grounding. From our findings, we suggest that the design for information display systems could encourage communication and support the articulation work that is necessary to accomplish the information sharing.
Sakiyama, Ryoichi; Blau, Brandon J; Miki, Toshio
2017-01-01
There is currently a pressing need for alternative therapies to liver transplantation. The number of patients waiting for a liver transplant is substantially higher than the number of transplantable donor livers, resulting in a long waiting time and a high waiting list mortality. An extracorporeal liver support system is one possible approach to overcome this problem. However, the ideal cell source for developing bioartificial liver (BAL) support systems has yet to be determined. Recent advancements in stem cell technology allow researchers to generate highly functional hepatocyte-like cells from human pluripotent stem cells (hPSCs). In this mini-review, we summarize previous clinical trials with different BAL systems, and discuss advantages of and potential obstacles to utilizing hPSC-derived hepatic cells in clinical-scale BAL systems. PMID:28373763
Wardle, Jonathan Lee; Sarris, Jerome
2014-06-01
Complementary medicine is forming an increasingly large part of health care in developed countries and is increasingly being formally taught in tertiary academic settings. An exploratory study of naturopathic student perceptions of, use of and attitudes towards teaching resources in naturopathic clinical training and education. Focus groups were conducted with current and recent students of 4-year naturopathic degree programmes in Brisbane and Sydney to ascertain how they interact with clinical teaching materials, and their perceptions and attitudes towards teaching materials in naturopathic education. Naturopathic students have a complex and critical relationship with their learning materials. Although naturopathic practice is often defined by traditional evidence, students want information that both supports and is critical of traditional naturopathic practices, and focuses heavily on evidence-based medicine. Students remain largely ambivalent about new teaching technologies and would prefer that these develop organically as an evolution from printed materials, rather than depart from dramatically and radically from these previously established materials. Findings from this study will assist publishers, librarians and academics develop clinical information sources that appropriately meet student expectations and support their learning requirements. © 2014 The authors. Health Information and Libraries Journal © 2014 Health Libraries Group.
Kost, Rhonda G.; Dowd, Kathleen A.; Hurley, Arlene M.; Rainer, Tyler‐Lauren; Coller, Barry S.
2014-01-01
Abstract The development of translational clinical research protocols is complex. To assist investigators, we developed a structured supportive guidance process (Navigation) to expedite protocol development to the standards of good clinical practice (GCP), focusing on research ethics and integrity. Navigation consists of experienced research coordinators leading investigators through a concerted multistep protocol development process from concept initiation to submission of the final protocol. To assess the effectiveness of Navigation, we collect data on the experience of investigators, the intensity of support required for protocol development, IRB review outcomes, and protocol start and completion dates. One hundred forty‐four protocols underwent Navigation and achieved IRB approval since the program began in 2007, including 37 led by trainee investigators, 26 led by MDs, 9 by MD/PhDs, 57 by PhDs, and 12 by investigators with other credentials (e.g., RN, MPH). In every year, more than 50% of Navigated protocols were approved by the IRB within 30 days. For trainees who had more than one protocol navigated, the intensity of Navigation support required decreased over time. Navigation can increase access to translational studies for basic scientists, facilitate GCP training for investigators, and accelerate development and approval of protocols of high ethical and scientific quality. PMID:24405608
Everts, Maaike; Heller, Caren; Burke, Christine; Hafer, Nathaniel; Steele, Scott
2014-01-01
Abstract To bring the benefits of science more quickly to patient care, the NIH National Center Advancing Translational Sciences (NCATS) supports programs that enhance the development, testing, and implementation of new medical products and procedures. The NCATS clinical and translational science award (CTSA) program is central to that mission; creating an academic home for clinical and translational science and supporting those involved in the discovery and development of new health‐related inventions. The technology transfer Offices (TTO) of CTSA‐funded universities can be important partners in the development process; facilitating the transfer of medical research to the commercial sector for further development and ultimately, distribution to patients. The Aggregating Intellectual Property (IP) Working Group (AWG) of the CTSA public private partnerships key function committee (PPP‐KFC) developed a survey to explore how CTSA‐funded institutions currently interface with their respective TTOs to support medical product development. The results suggest a range of relationships across institutions; approximately half have formal collaborative programs, but only a few have well‐connected programs. Models of collaborations are described and provided as examples of successful CTSA/TTO partnerships that have increased the value of health‐related inventions as measured by follow‐on funding and industry involvement; either as a consulting partner or licensee. PMID:24945893
Rose, Lynn M; Everts, Maaike; Heller, Caren; Burke, Christine; Hafer, Nathaniel; Steele, Scott
2014-12-01
To bring the benefits of science more quickly to patient care, the NIH National Center Advancing Translational Sciences (NCATS) supports programs that enhance the development, testing, and implementation of new medical products and procedures. The NCATS clinical and translational science award (CTSA) program is central to that mission; creating an academic home for clinical and translational science and supporting those involved in the discovery and development of new health-related inventions. The technology transfer Offices (TTO) of CTSA-funded universities can be important partners in the development process; facilitating the transfer of medical research to the commercial sector for further development and ultimately, distribution to patients. The Aggregating Intellectual Property (IP) Working Group (AWG) of the CTSA public private partnerships key function committee (PPP-KFC) developed a survey to explore how CTSA-funded institutions currently interface with their respective TTOs to support medical product development. The results suggest a range of relationships across institutions; approximately half have formal collaborative programs, but only a few have well-connected programs. Models of collaborations are described and provided as examples of successful CTSA/TTO partnerships that have increased the value of health-related inventions as measured by follow-on funding and industry involvement; either as a consulting partner or licensee. © 2014 Wiley Periodicals, Inc.
Kawamoto, Kensaku; Hongsermeier, Tonya; Wright, Adam; Lewis, Janet; Bell, Douglas S; Middleton, Blackford
2013-01-01
To identify key principles for establishing a national clinical decision support (CDS) knowledge sharing framework. As part of an initiative by the US Office of the National Coordinator for Health IT (ONC) to establish a framework for national CDS knowledge sharing, key stakeholders were identified. Stakeholders' viewpoints were obtained through surveys and in-depth interviews, and findings and relevant insights were summarized. Based on these insights, key principles were formulated for establishing a national CDS knowledge sharing framework. Nineteen key stakeholders were recruited, including six executives from electronic health record system vendors, seven executives from knowledge content producers, three executives from healthcare provider organizations, and three additional experts in clinical informatics. Based on these stakeholders' insights, five key principles were identified for effectively sharing CDS knowledge nationally. These principles are (1) prioritize and support the creation and maintenance of a national CDS knowledge sharing framework; (2) facilitate the development of high-value content and tooling, preferably in an open-source manner; (3) accelerate the development or licensing of required, pragmatic standards; (4) acknowledge and address medicolegal liability concerns; and (5) establish a self-sustaining business model. Based on the principles identified, a roadmap for national CDS knowledge sharing was developed through the ONC's Advancing CDS initiative. The study findings may serve as a useful guide for ongoing activities by the ONC and others to establish a national framework for sharing CDS knowledge and improving clinical care.
STOPP/START version 2-development of software applications: easier said than done?
Anrys, Pauline; Boland, Benoît; Degryse, Jean-Marie; De Lepeleire, Jan; Petrovic, Mirko; Marien, Sophie; Dalleur, Olivia; Strauven, Goedele; Foulon, Veerle; Spinewine, Anne
2016-09-01
Explicit criteria, such as the STOPP/START criteria, are increasingly used both in clinical practice and in research to identify potentially inappropriate prescribing in older people. In an article on the STOPP/START criteria version 2, O'Mahony et al have pointed out the advantages of developing computerised criteria. Both clinical decision support systems to support healthcare professionals and software applications to automatically detect inappropriate prescribing in research studies can be developed. In the process of developing such tools, difficulties may occur. In the context of a research study, we have developed an algorithm to automatically apply STOPP/START criteria version 2 to our research database. We comment in this paper on different kinds of difficulties encountered and make suggestions that could be taken into account when developing the next version of the criteria. © The Author 2016. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Decision support and disease management: a logic engineering approach.
Fox, J; Thomson, R
1998-12-01
This paper describes the development and application of PROforma, a unified technology for clinical decision support and disease management. Work leading to the implementation of PROforma has been carried out in a series of projects funded by European agencies over the past 13 years. The work has been based on logic engineering, a distinct design and development methodology that combines concepts from knowledge engineering, logic programming, and software engineering. Several of the projects have used the approach to demonstrate a wide range of applications in primary and specialist care and clinical research. Concurrent academic research projects have provided a sound theoretical basis for the safety-critical elements of the methodology. The principal technical results of the work are the PROforma logic language for defining clinical processes and an associated suite of software tools for delivering applications, such as decision support and disease management procedures. The language supports four standard objects (decisions, plans, actions, and enquiries), each of which has an intuitive meaning with well-understood logical semantics. The development toolset includes a powerful visual programming environment for composing applications from these standard components, for verifying consistency and completeness of the resulting specification and for delivering stand-alone or embeddable applications. Tools and applications that have resulted from the work are described and illustrated, with examples from specialist cancer care and primary care. The results of a number of evaluation activities are included to illustrate the utility of the technology.
Selman, Lucy; Harding, Richard
2010-01-01
Palliative care in India has made enormous advances in providing better care for patients and families living with progressive disease, and many clinical services are well placed to begin quality improvement initiatives, including clinical audit. Clinical audit is recognized globally to be essential in all healthcare, as a way of monitoring and improving quality of care. However, it is not common in developing country settings, including India. Clinical audit is a cyclical activity involving: identification of areas of care in need of improvement, through data collection and analysis utilizing an appropriate questionnaire; setting measurable quality of care targets in specific areas; designing and implementing service improvement strategies; and then re-evaluating quality of care to assess progress towards meeting the targets. Outcome measurement is an important component of clinical audit that has additional advantages; for example, establishing an evidence base for the effectiveness of services. In resource limited contexts, outcome measurement in clinical audit is particularly important as it enables service development to be evidence-based and ensures resources are allocated effectively. Key success factors in conducting clinical audit are identified (shared ownership, training, managerial support, inclusion of all members of staff and a positive approach). The choice of outcome measurement tool is discussed, including the need for a culturally appropriate and validated measure which is brief and simple enough to incorporate into clinical practice and reflects the holistic nature of palliative care. Support for clinical audit is needed at a national level, and development and validation of an outcome measurement tool in the Indian context is a crucial next step. PMID:20859465
Research-active clinical nurses: against all odds.
Siedlecki, Sandra L; Albert, Nancy M
2017-03-01
To develop a theoretical understanding of factors that impact decisions of clinical nurses to conduct a research study. Only a small percentage of all nurses are research-active and even fewer clinical nurses are research-active. Several researchers have explored barriers to research activity by clinical nurses, but few have examined why, in spite of all odds, some clinical nurses are research-active. As the purpose of this study was to develop a theoretical understanding of the research-active nurse, a grounded theory approach was used. The sample interviewed for this study consisted of registered nurses (n = 26) who worked in a hospital or ambulatory setting, had daily direct patient contact and had participated as principal investigator on at least one completed clinical nursing research study that was not in fulfilment of an educational requirement. The interviews were digitally recorded and analysed by two researchers using the constant comparative method. The findings from this study suggest that the conduct of research by clinical nurses was the direct result of a clinical trigger, characteristics and beliefs of the nurse about research and their role in generating knowledge, and the presence of support conditions, such as a research mentor. Clinical nurses can and do conduct research, in spite of constraints due to a lack of time, money and/or knowledge, if they have access to research mentors and are practising in a research-supportive environment. Nurses at the bedside are in a unique position to identify problems most in need of solutions. Findings from this study provide a foundation upon which to develop and test various programmes that seek to increase the number of clinical nurses who are research-active. © 2016 John Wiley & Sons Ltd.
Chan, S W; Chan, M F; Lee, S-Y; Henderson, A
2014-03-01
Workplaces need to foster teaching and learning interactions so staff collaborate and learn from each other. Internationally, many countries provide support to graduates and experienced staff to foster engagement necessary for learning and quality care. Workplace attributes can differ across countries depending on managerial, contextual, social and policy issues. This study compared workplace attributes of two Australian hospitals with a Singaporean hospital. A representative sample of nurses in two acute care facilities in Australia (n = 203) and a comparable facility in Singapore (n = 154) during 2010 and 2011 responded to a survey requesting demographic data and responses about workplace attributes. Attributes were determined through validated tools that measure staff perception of support when facilitating others learning (Support Instrument for Nurses Facilitating the Learning of Others) and the clinical learning organizational culture (Clinical Learning Organizational Culture Survey). Results indicated Singaporean nurses rated perception of acknowledgement, workload management and teamwork support in facilitating learners in their hospital as significantly better than the Australian cohort despite similar provisions for support and development. There were no significant differences across the two sites in the clinical learning culture. Analysis across three health facilities only provides a snapshot. Targeting more facilities would assist in confirming the extent of reported trends. Findings indicate differences in nurses' perceptions of support when facilitating learners. Further exploration of Singaporean nurses' increased perceptions of support is worthy. Clinical learning organizational culture findings across Australian and Singaporean acute care facilities suggest common attributes within the nursing profession that transcend contextual factors, for example, a strong sense of task accomplishment. Nurses across both countries demonstrate strengths in accomplishing tasks but less so in recognizing nurses' contributions that may also impact nurses' influence in the practice context. As these attributes are common, nursing can collectively lobby and develop policy, thereby strengthening their cause to be recognized. © 2014 International Council of Nurses.
Supporting self and others: from staff nurse to nurse consultant. Part 7: One-to-one sessions.
Fowler, John
This series of articles explores various ways of supporting staff who work in the fast-moving and ever-changing health service. In previous articles, John Fowler an experienced nursing lecturer, author and consultant, examined the importance of developing a supportive working culture and the role of preceptorship, mentoring, clinical supervision and giving feedback. This article examines how to make a one-to-one session supportive and focused.
Fowler, John
This series of articles explores various ways of supporting staff who work in the fast-moving and ever-changing health service. In previous articles, John Fowler, an experienced nursing lecturer, author and consultant examined the importance of developing a supportive working culture and the role of preceptorship, mentoring and clinical supervision. This article examines how giving and receiving feedback can be a supportive experience.
The Virtual Maternity Clinic: a teaching and learning innovation for midwifery education.
Phillips, Diane; Duke, Maxine; Nagle, Cate; Macfarlane, Susie; Karantzas, Gery; Patterson, Denise
2013-10-01
There are challenges for midwifery students in developing skill and competency due to limited placements in antenatal clinics. The Virtual Maternity Clinic, an online resource, was developed to support student learning in professional midwifery practice. Identifying students' perceptions of the Virtual Maternity Clinic; learning about the impact of the Virtual Maternity Clinic on the students' experience of its use and access; and learning about the level of student satisfaction of the Virtual Maternity Clinic. Two interventions were used including pre and post evaluations of the online learning resource with data obtained from questionnaires using open ended and dichotomous responses and rating scales. The pre-Virtual Maternity Clinic intervention used a qualitative design and the post-Virtual Maternity Clinic intervention applied both qualitative and quantitative approaches. Three campuses of Deakin University, located in Victoria, Australia. Midwifery students enrolled in the Bachelor of Nursing/Bachelor of Midwifery and Graduate Diploma of Midwifery were recruited across three campuses of Deakin University (n=140). Thematic analysis of the pre-Virtual Maternity Clinic intervention (return rate n=119) related to students' expectations of this resource. The data for the post-Virtual Maternity Clinic intervention (return rate n=42) including open-ended responses were thematically analysed; dichotomous data examined in the form of frequencies and percentages of agreement and disagreement; and 5-rating scales were analysed using Pearson's correlations (α=.05, two-tailed). Results showed from the pre-Virtual Maternity Clinic intervention that students previously had placements in antenatal clinics were optimistic about the online learning resource. The post-Virtual Maternity Clinic intervention results indicated that students were satisfied with the Virtual Maternity Clinic as a learning resource despite some technological issues. The Virtual Maternity Clinic provides benefits for students in repeated observation of the practice of the midwife to support their professional learning and practice development. Copyright © 2012 Elsevier Ltd. All rights reserved.
Developmental Scientist | Center for Cancer Research
PROGRAM DESCRIPTION Within the Leidos Biomedical Research Inc.’s Clinical Research Directorate, the Clinical Monitoring Research Program (CMRP) provides high-quality comprehensive and strategic operational support to the high-profile domestic and international clinical research initiatives of the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases (NIAID), Clinical Center (CC), National Institute of Heart, Lung and Blood Institute (NHLBI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Center for Advancing Translational Sciences (NCATS), National Institute of Neurological Disorders and Stroke (NINDS), and the National Institute of Mental Health (NIMH). Since its inception in 2001, CMRP’s ability to provide rapid responses, high-quality solutions, and to recruit and retain experts with a variety of backgrounds to meet the growing research portfolios of NCI, NIAID, CC, NHLBI, NIAMS, NCATS, NINDS, and NIMH has led to the considerable expansion of the program and its repertoire of support services. CMRP’s support services are strategically aligned with the program’s mission to provide comprehensive, dedicated support to assist National Institutes of Health researchers in providing the highest quality of clinical research in compliance with applicable regulations and guidelines, maintaining data integrity, and protecting human subjects. For the scientific advancement of clinical research, CMRP services include comprehensive clinical trials, regulatory, pharmacovigilance, protocol navigation and development, and programmatic and project management support for facilitating the conduct of 400+ Phase I, II, and III domestic and international trials on a yearly basis. These trials investigate the prevention, diagnosis, treatment of, and therapies for cancer, influenza, HIV, and other infectious diseases and viruses such as hepatitis C, tuberculosis, malaria, and Ebola virus; heart, lung, and blood diseases and conditions; parasitic infections; rheumatic and inflammatory diseases; and rare and neglected diseases. CMRP’s collaborative approach to clinical research and the expertise and dedication of staff to the continuation and success of the program’s mission has contributed to improving the overall standards of public health on a global scale. The Clinical Monitoring Research Program (CMRP) provides quality assurance and regulatory compliance support to the National Cancer Institute’s (NCI’s), Center for Cancer Research (CCR), Surgery Branch (SB). KEY ROLES/RESPONSIBILITIES - THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL The Developmental Scientist will: Provide support and advisement to the development of the T Cell receptor gene therapy protocols. Establishes, implements and maintains standardized processes and assesses performance to make recommendations for improvement. Provides support and guidance to the cellular therapy or vector production facilities at the NIH Clinical Center engaged in the manufacture of patient-specific therapies. Manufactures cellular therapy products for human use. Develops and manufactures lentiviral and/or retroviral vectors. Prepares technical reports, abstracts, presentations and program correspondence concerning assigned projects through research and analysis of information relevant to government policy, regulations and other relevant data and monitor all assigned programs for compliance. Provides project management support with planning and development of project schedules and deliverables, tracking project milestones, managing timelines, preparing status reports and monitoring progress ensuring adherence to deadlines. Facilitates communication through all levels of staff by functioning as a liaison between internal departments, senior management, and the customer. Serves as a leader/mentor to administrative staff and prepares employee performance evaluations. Develops and implements procedures/programs to ensure effective and efficient business and operational processes. Identifies potential bottlenecks in upcoming development processes and works with team members and senior management for resolution. Analyzes and tracks initiatives and contracts. Coordinates and reviews daily operations and logistics, including purchasing and shipping of miscellaneous equipment, laboratory and office supplies to ensure compliance with appropriate government regulations. Coordinates the administrative, fiscal, contractual, and quality aspects of all projects. Ensures that internal budgets, schedules and performance requirements are met. Monitors workflow and timelines to ensure production operations are on schedule and adequate raw materials and supplies are available. Ensures all activities are in compliance with applicable federal regulations and guidelines and proper testing/validation activities have been scheduled and conducted. Regularly interacts with senior or executive management both internally and externally, on matters concerning several functional areas such as operations, quality control and quality assurance. Participates in planning facility or operations modifications, upgrades and renovations. Performs technical audits of outsourced contractors in conjunction with Quality Assurance and or Quality Control. Assists in the evaluation and selection of staff, planning and coordination of training, assigning of tasks and scheduling workloads and evaluating overall performance. This position is located in Bethesda, Maryland.
[Development of integrated support software for clinical nutrition].
Siquier Homar, Pedro; Pinteño Blanco, Manel; Calleja Hernández, Miguel Ángel; Fernández Cortés, Francisco; Martínez Sotelo, Jesús
2015-09-01
to develop an integrated computer software application for specialized nutritional support, integrated in the electronic clinical record, which detects automatically and early those undernourished patients or at risk of developing undernourishment, determining points of opportunity for improvement and evaluation of the results. the quality standards published by the Nutrition Work Group of the Spanish Society of Hospital Pharmacy (SEFH) and the recommendations by the Pharmacy Group of the Spanish Society of Parenteral and Enteral Nutrition (SENPE) have been taken into account. According to these quality standards, the nutritional support has to include the following healthcare stages or sub-processes: nutritional screening, nutritional assessment, plan for nutritional care, prescription, preparation and administration. this software allows to conduct, in an automated way, a specific nutritional assessment for those patients with nutritional risk, implementing, if necessary, a nutritional treatment plan, conducting follow-up and traceability of outcomes derived from the implementation of improvement actions, and quantifying to what extent our practice is close to the established standard. this software allows to standardize the specialized nutritional support from a multidisciplinary point of view, introducing the concept of quality control per processes, and including patient as the main customer. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ryan, Patricia C., E-mail: ryanp@medimmune.com; Sleeman, Matthew A.; Rebelatto, Marlon
Mavrilimumab (CAM-3001) is an investigational human IgG4 monoclonal antibody (MAb) targeting GM-CSF receptor alpha which is currently being developed for the treatment of RA. GM-CSF plays a central role in the pathogenesis of rheumatoid arthritis (RA) through the activation, differentiation, and survival of macrophages and neutrophils. To support clinical development, the nonclinical safety of mavrilimumab was evaluated in several studies with cynomolgus monkeys as the pharmacologically relevant species. Comprehensive toxicity parameters were assessed in each study, and treatment duration ranged from 4 to 26 weeks. Mavrilimumab has an acceptable safety profile in monkeys with no changes in any parameters othermore » than microscopic findings in lung. In several studies, minimal accumulation of foamy alveolar macrophages was observed. This finding was only seen in studies of at least 11 weeks duration, was reversible following a dose-free recovery period and was considered non-adverse. At higher dose levels (≥ 30 mg/kg/week), in a 26-week repeat-IV dose study, the presence of lung foreign material, cholesterol clefts, and granulomatous inflammation was also observed in a few animals and was considered adverse. The dose- and time-related accumulation of foamy macrophages in lung following exposure to mavrilimumab observed in several NHP studies was expected based upon the known role of GM-CSFRα signaling in the function of alveolar macrophages. Overall, a clean no-observed-adverse-effect-level (NOAEL) without any effects in lung was established and provided adequate clinical safety margins. In clinical studies in RA patients, mavrilimumab has demonstrated good clinical activity with adequate safety to support further clinical development. A Phase 2b study of mavrilimumab in subjects with RA is in progress. - Highlights: • Mavrilimumab is a MAB targeting GM-CSFRα being developed for RA therapy. • Mavrilimumab has an acceptable safety profile in cynomolgus monkeys. • Lung changes observed reflect role of GM-CSF in alveolar macrophage function. • High safety margins support continued clinical development of mavrilimumab.« less
An innovation in physician training: the Clinical Scholars Program.
Shuster, A L; Cluff, L E; Haynes, M A; Hook, E W; Rogers, D E
1983-02-01
The Robert Wood Johnson Foundation Clinical Scholars Program was developed to allow selected physician clinicians to acquire certain skills which are not part of the usual physician's repertoire. Begun in 1969 with support from the Carnegie Corporation and the Commonwealth Fund, funding has been provided since 1973 by the Robert Wood Johnson Foundation. By June 1981, 309 physicians had completed their training as clinical scholars, and a majority were pursuing careers in academic medicine. This paper recounts the factors and forces which led to the initiation and development of the program, its successes and failures, the problems faced, the achievements of clinical scholar alumni, and the program's current status.
Clinical trials: bringing research to the bedside.
Arvay, C A
1991-02-01
Over the years, clinical trials with their structured treatment plans and multicenter involvement have been instrumental in developing new treatments and establishing standard of care therapy. While clinical trials strive to advance medical knowledge, they provide scientifically sound, state of the art care and their use should be increased. The Brain Tumor Cooperative Group, one such NCI-sponsored cooperative group, has been the primary group for the treatment of malignant gliomas. As the field of neuro-oncology expands, the neuroscience nurse needs to develop an understanding of clinical trials and their operation. The nurse is in an optimal position to support medical research and the research participant.
Interventions to support and develop clinician-researcher leadership in one health district.
Fry, Margaret; Dombkins, Anthony
2017-07-10
Purpose Clinical leadership, researcher capacity and a culture of clinical inquiry are needed in the clinical workforce. The purpose of this paper is to report on a program which was used to develop and support clinicians to explore practice, implement innovation, translate evidence and build researcher capacity. Design/methodology/approach This pragmatic paper presents a case study of a nursing and midwifery clinician-researcher development program. The multi-site, multi-modal program focused on education, mentoring and support, communication networks, and clinician-university partnerships strategies to build workforce capacity and leadership. Findings Over 2,000 staff have been involved in the program representing a range of health disciplines. The study day program has been delivered to 500 participants with master classes having over 1,500 attendees. The research mentor program has demonstrated that participants increased their confidence for research leadership roles and are pursuing research and quality assurance projects. Communication strategies improved the visibility of nursing and midwifery. Research limitations/implications This case study was conducted in one health district, which may not have relevance to other geographical areas. The small numbers involved in the research mentor program need to be considered when reviewing the findings. Practical implications The program has been a catalyst for developing a research culture, clinical leadership and research networks that strengthen workforce capacity. Building researcher skills in the workforce will better support quality healthcare and the examination of everyday practice. Social implications Building a culture of healthcare that is based on inquiry and evidence-based practice will lead to more appropriate and consistent healthcare delivery. Consumers have the right to expect health clinicians will challenge everyday practice and have the skills and capability to translate or generate best evidence to underpin professional and service delivery. Originality/value This paper provides strategies for building workforce researcher capacity and capability. The program provides opportunity for building research networks and role modeling the value and importance of research to practice and quality improvement.
Children with Diabetes: Peer Status, Academic Achievement, and Behavior Problems.
ERIC Educational Resources Information Center
Childers, Glenna J.; Carroll, James L.
While the clinical literature frequently asserts that chronic illness negatively affects children's social development, data in support of such assertions are almost without exception obtained in clinical settings from children with chronic illness and their parents, without data from the school or community environment and without control or…
Community Partners' Perspectives of Community-University Partnerships that Support Service-Learning
ERIC Educational Resources Information Center
Witchger Hansen, Anne Marie
2010-01-01
Community partner voices are important to understand because they provide the contexts in which occupational therapy students meet course objectives by applying clinical reasoning theory and developing clinical reasoning skills in a natural context (Witchger-Hansen et al., 2007; Provident, et al., 2011). To sustain these community-university…
Preparing Current and Future Practitioners to Integrate Research in Real Practice Settings
ERIC Educational Resources Information Center
Thyer, Bruce A.
2015-01-01
Past efforts aimed at promoting a better integration between research and practice are reviewed. These include the empirical clinical practice movement (ECP), originating within social work; the empirically supported treatment (EST) initiative of clinical psychology; and the evidence-based practice (EBP) model developed within medicine. The…
Cultivating a culture of research in nursing through a journal club for leaders: A pilot study.
Kjerholt, Mette; Hølge-Hazelton, Bibi
2018-01-01
To describe whether an action learning-inspired journal club for nurse leaders can develop the leaders' self-perceived competences to support a research culture in clinical nursing practice. Development of clinical research capacity and nurse leaders with the requisite competences are key factors in evidence-based health care practice. This study describes how nurse leaders at a large regional hospital took part in a journal club for nurse leaders, with a view to developing their competences to support a nursing research culture in their departments. A pilot study using a multimethod approach to evaluate the journal club for nurse leaders. Four nurse leaders participated in the journal club for nurse leaders. Content analysis on the data was performed. Data revealed that participation in journal club for nurse leaders gave the leaders a feeling of increased competences to support nursing research culture in their departments. They stated that the action learning approach and the competences of the facilitator were key factors in this outcome. An action learning-inspired journal club for nurse leaders can be useful and meaningful to nurse leaders in developing leadership competences. As an approach in journal club for nurse leaders, action learning can develop nurse leaders' competence to support a research culture, and thus ensure evidence-based nursing is practised. © 2017 John Wiley & Sons Ltd.
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.
Docherty, Charles; Hoy, Derek; Topp, Helena; Trinder, Kathryn
2004-01-01
This paper details the results of the first phase of a project that used eLearning to support students' learning within a simulated environment. The locus was a purpose built Clinical Simulation Laboratory (CSL) where the School's newly adopted philosophy of Problem Based Learning (PBL) was challenged through lecturers reverting to traditional teaching methods. The solution, a student-centred, problem-based approach to the acquisition of clinical skills was developed using learning objects embedded within web pages that substituted for lecturers providing instruction and demonstration. This allowed lecturers to retain their facilitator role, and encouraged students to explore, analyse and make decisions within the safety of a clinical simulation. Learning was enhanced through network communications and reflection on video performances of self and others. Evaluations were positive, students demonstrating increased satisfaction with PBL, improved performance in exams, and increased self-efficacy in the performance of nursing activities. These results indicate that an elearning approach can support PBL in delivering a student centred learning experience.
ERIC Educational Resources Information Center
Oliver, Sandra; Dickson, Kelly
2016-01-01
Support for producing systematic reviews about health systems is less well developed than for those about clinical practice. From interviewing policy makers and systematic reviewers we identified institutional mechanisms which bring systematic reviews and policy priorities closer by harnessing organisational and individual motivations, emphasising…
ERIC Educational Resources Information Center
Karekla, Maria; Lundgren, Jennifer D.; Forsyth, John P.
2004-01-01
The promotion and dissemination of empirically supported (ESTs) and manualized therapies are important, albeit controversial, developments within clinical science and practice. To date, studies evaluating training opportunities and attitudes about such treatments at the graduate, predoctoral internship, and postdoctoral levels have focused on the…
ERIC Educational Resources Information Center
Turner, Steven L.; Greene, Carie C.
2017-01-01
Middle school mentor teachers who participate in school-university clinical experiences have a unique opportunity to support preservice middle grades teachers' development and improve the schooling of young adolescents. This article investigates an early clinical experience and presents data from a survey of 38 middle school teachers who served as…
Schnipper, Jeffrey L.; Linder, Jeffrey A.; Palchuk, Matvey B.; Einbinder, Jonathan S.; Li, Qi; Postilnik, Anatoly; Middleton, Blackford
2008-01-01
Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing “Smart Forms” to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions. PMID:18436911
Schnipper, Jeffrey L; Linder, Jeffrey A; Palchuk, Matvey B; Einbinder, Jonathan S; Li, Qi; Postilnik, Anatoly; Middleton, Blackford
2008-01-01
Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing "Smart Forms" to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions.
Bridge, Heather; Smolskis, Mary; Bianchine, Peter; Dixon, Dennis O; Kelly, Grace; Herpin, Betsey; Tavel, Jorge
2009-08-01
A clinical research protocol document must reflect both sound scientific rationale as well as local, national and, when applicable, international regulatory and human subject protections requirements. These requirements originate from a variety of sources, undergo frequent revision and are subject to interpretation. Tools to assist clinical investigators in the production of clinical protocols could facilitate navigating these requirements and ultimately increase the efficiency of clinical research. The National Institute of Allergy and Infectious Diseases (NIAID) developed templates for investigators to serve as the foundation for protocol development. These protocol templates are designed as tools to support investigators in developing clinical protocols. NIAID established a series of working groups to determine how to improve its capacity to conduct clinical research more efficiently and effectively. The Protocol Template Working Group was convened to determine what protocol templates currently existed within NIAID and whether standard NIAID protocol templates should be produced. After review and assessment of existing protocol documents and requirements, the group reached consensus about required and optional content, determined the format and identified methods for distribution as well as education of investigators in the use of these templates. The templates were approved by the NIAID Executive Committee in 2006 and posted as part of the NIAID Clinical Research Toolkit [1] website for broad access. These documents require scheduled revisions to stay current with regulatory and policy changes. The structure of any clinical protocol template, whether comprehensive or specific to a particular study phase, setting or design, affects how it is used by investigators. Each structure presents its own set of advantages and disadvantages. While useful, protocol templates are not stand-alone tools for creating an optimal protocol document, but must be complemented by institutional resources and support. Education and guidance of investigators in the appropriate use of templates is necessary to ensure a complete yet concise protocol document. Due to changing regulatory requirements, clinical protocol templates cannot become static, but require frequent revisions.
TU-G-BRB-04: Digital Phantoms for Developing Protocols in Particle Therapy
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lee, C.
2015-06-15
Proton therapy, in particular, and ion therapy, just beginning, are becoming an increasing focus of attention in clinical radiation oncology and medical physics. Both modalities have been criticized of lacking convincing evidence from randomized trials proving their efficacy, justifying the higher costs involved in these therapies. This session will provide an overview of the current status of clinical trials in proton therapy, including recent developments in ion therapy. As alluded to in the introductory talk by Dr. Schulte, opinions are diverging widely as to the usefulness and need for clinical trials in particle therapy and the challenge of equipoise. Themore » lectures will highlight some of the challenges that surround clinical trials in particle therapy. One, presented by Dr. Choy from UT Southwestern, is that new technology and even different types of particles such as helium and carbon ions are introduced into this environment, increasing the phase space of clinical variables. The other is the issue of medical physics quality assurance with physical phantoms, presented by Mrs. Taylor from IROC Houston, which is more challenging because 3D and 4D image guidance and active delivery techniques are in relatively early stages of development. The role of digital phantoms in developing clinical treatment planning protocols and as a QA tool will also be highlighted by Dr. Lee from NCI. The symposium will be rounded off by a panel discussion among the Symposium speakers, arguing pro or con the need and readiness for clinical trials in proton and ion therapy. Learning Objectives: To get an update on the current status of clinical trials allowing or mandating proton therapy. Learn about the status of planned clinical trials in the U.S. and worldwide involving ion therapy. Discuss the challenges in the design and QA of clinical trials in particle therapy. Learn about existing and future physical and computational anthropomorphic phantoms for charged particle clinical trial development and support. Research reported in this presentation is supported by the National Cancer Institute of the National; Institutes of Health under Award Number P20CA183640.« less
Zhang, Yanhang; Barocas, Victor H; Berceli, Scott A; Clancy, Colleen E; Eckmann, David M; Garbey, Marc; Kassab, Ghassan S; Lochner, Donna R; McCulloch, Andrew D; Tran-Son-Tay, Roger; Trayanova, Natalia A
2016-09-01
Cardiovascular diseases (CVDs) are the leading cause of death in the western world. With the current development of clinical diagnostics to more accurately measure the extent and specifics of CVDs, a laudable goal is a better understanding of the structure-function relation in the cardiovascular system. Much of this fundamental understanding comes from the development and study of models that integrate biology, medicine, imaging, and biomechanics. Information from these models provides guidance for developing diagnostics, and implementation of these diagnostics to the clinical setting, in turn, provides data for refining the models. In this review, we introduce multi-scale and multi-physical models for understanding disease development, progression, and designing clinical interventions. We begin with multi-scale models of cardiac electrophysiology and mechanics for diagnosis, clinical decision support, personalized and precision medicine in cardiology with examples in arrhythmia and heart failure. We then introduce computational models of vasculature mechanics and associated mechanical forces for understanding vascular disease progression, designing clinical interventions, and elucidating mechanisms that underlie diverse vascular conditions. We conclude with a discussion of barriers that must be overcome to provide enhanced insights, predictions, and decisions in pre-clinical and clinical applications.
Zhang, Yanhang; Barocas, Victor H.; Berceli, Scott A.; Clancy, Colleen E.; Eckmann, David M.; Garbey, Marc; Kassab, Ghassan S.; Lochner, Donna R.; McCulloch, Andrew D.; Tran-Son-Tay, Roger; Trayanova, Natalia A.
2016-01-01
Cardiovascular diseases (CVDs) are the leading cause of death in the western world. With the current development of clinical diagnostics to more accurately measure the extent and specifics of CVDs, a laudable goal is a better understanding of the structure-function relation in the cardiovascular system. Much of this fundamental understanding comes from the development and study of models that integrate biology, medicine, imaging, and biomechanics. Information from these models provides guidance for developing diagnostics, and implementation of these diagnostics to the clinical setting, in turn, provides data for refining the models. In this review, we introduce multi-scale and multi-physical models for understanding disease development, progression, and designing clinical interventions. We begin with multi-scale models of cardiac electrophysiology and mechanics for diagnosis, clinical decision support, personalized and precision medicine in cardiology with examples in arrhythmia and heart failure. We then introduce computational models of vasculature mechanics and associated mechanical forces for understanding vascular disease progression, designing clinical interventions, and elucidating mechanisms that underlie diverse vascular conditions. We conclude with a discussion of barriers that must be overcome to provide enhanced insights, predictions, and decisions in pre-clinical and clinical applications. PMID:27138523
A framework to support preceptors' evaluation and development of new nurses' clinical judgment.
Nielsen, Ann; Lasater, Kathie; Stock, Mary
2016-07-01
In today's complex, fast-paced world of hospital nursing, new graduate nurses do not have well-developed clinical judgment skills. Nurse preceptors are charged with bridging the gap between new graduates' learning in school and their autonomous practice as RNs. In one large, urban medical center in the U.S., a clinical judgment model and rubric were used as a framework for a new evaluation and orientation process. Preceptors of new graduate nurses who had used the former and new processes described their experiences using the framework. The findings indicated that having a structured framework provided objective ways to evaluate and help develop new graduate nurses' clinical judgment. It is hypothesized that academic clinical supervisors may find such a framework useful to prepare students for transition to practice. Copyright © 2016 Elsevier Ltd. All rights reserved.
A pilot study of distributed knowledge management and clinical decision support in the cloud.
Dixon, Brian E; Simonaitis, Linas; Goldberg, Howard S; Paterno, Marilyn D; Schaeffer, Molly; Hongsermeier, Tonya; Wright, Adam; Middleton, Blackford
2013-09-01
Implement and perform pilot testing of web-based clinical decision support services using a novel framework for creating and managing clinical knowledge in a distributed fashion using the cloud. The pilot sought to (1) develop and test connectivity to an external clinical decision support (CDS) service, (2) assess the exchange of data to and knowledge from the external CDS service, and (3) capture lessons to guide expansion to more practice sites and users. The Clinical Decision Support Consortium created a repository of shared CDS knowledge for managing hypertension, diabetes, and coronary artery disease in a community cloud hosted by Partners HealthCare. A limited data set for primary care patients at a separate health system was securely transmitted to a CDS rules engine hosted in the cloud. Preventive care reminders triggered by the limited data set were returned for display to clinician end users for review and display. During a pilot study, we (1) monitored connectivity and system performance, (2) studied the exchange of data and decision support reminders between the two health systems, and (3) captured lessons. During the six month pilot study, there were 1339 patient encounters in which information was successfully exchanged. Preventive care reminders were displayed during 57% of patient visits, most often reminding physicians to monitor blood pressure for hypertensive patients (29%) and order eye exams for patients with diabetes (28%). Lessons learned were grouped into five themes: performance, governance, semantic interoperability, ongoing adjustments, and usability. Remote, asynchronous cloud-based decision support performed reasonably well, although issues concerning governance, semantic interoperability, and usability remain key challenges for successful adoption and use of cloud-based CDS that will require collaboration between biomedical informatics and computer science disciplines. Decision support in the cloud is feasible and may be a reasonable path toward achieving better support of clinical decision-making across the widest range of health care providers. Published by Elsevier B.V.
Sohal, Alex Hardip; Pathak, Neha; Blake, Sarah; Apea, Vanessa; Berry, Judith; Bailey, Jayne; Griffiths, Chris; Feder, Gene
2018-03-01
Sexual health and gynaecological problems are the most consistent and largest physical health differences between abused and non-abused female populations. Sexual health services are well placed to identify and support patients experiencing domestic violence and abuse (DVA). Most sexual health professionals have had minimal DVA training despite English National Institute for Health and Care Excellence recommendations. We sought to determine the feasibility of an evidence-based complex DVA training intervention in female sexual health walk-in services (IRIS ADViSE: Identification and Referral to Improve Safety whilst Assessing Domestic Violence in Sexual Health Environments). An adaptive mixed method pilot study in the female walk-in service of two sexual health clinics. Following implementation and evaluation at site 1, the intervention was refined before implementation at site 2. The intervention comprised electronic prompts, multidisciplinary training sessions, clinic materials and simple referral pathways to IRIS ADViSE advocate-educators (AEs). The pilot lasted 7 weeks at site 1 and 12 weeks at site 2. Feasibility outcomes were to assign a supportive DVA clinical lead, an IRIS ADViSE AE employed by a local DVA service provider, adapt electronic records, develop local referral pathways, assess whether enquiry, identification and referral rates were measurable. Both sites achieved all feasibility outcomes: appointing a supportive DVA clinical lead and IRIS ADViSE AE, establishing links with a local DVA provider, adapting electronic records, developing local referral pathways and rates of enquiry, identification and referral were found to be measurable. Site 1: 10% enquiry rate (n=267), 4% identification rate (n=16) and eight AE referrals. Site 2: 61% enquiry rate (n=1090), a 7% identification rate (n=79) and eight AE referrals. IRIS ADViSE can be successfully developed and implemented in sexual health clinics. It fulfils the unmet need for DVA training. Longer-term evaluation is recommended. © 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.
Clark, Jane E; Aitken, Susan; Watson, Nina; McVey, Joanne; Helbert, Jan; Wraith, Anita; Taylor, Vanessa; Catesby, Sarah
2015-06-01
National guidelines in the United Kingdom recommend training Clinical Nurse Specialists in psychological skills to improve the assessment and intervention with psychological problems experienced by people with a cancer diagnosis (National Institute for Health and Clinical Excellence, 2004). This pilot study evaluated a three-day training program combined with supervision sessions from Clinical Psychologists that focused on developing skills in psychological assessment and intervention for common problems experienced by people with cancer. Questionnaires were developed to measure participants' levels of confidence in 15 competencies of psychological skills. Participants completed these prior to the program and on completion of the program. Summative evaluation was undertaken and results were compared. In addition, a focus group interview provided qualitative data of participants' experiences of the structure, process, and outcomes of the program. Following the program, participants rated their confidence in psychological assessment and skills associated with providing psychological support as having increased in all areas. This included improved knowledge of psychological theories, skills in assessment and intervention and accessing and using supervision appropriately. The largest increase was in providing psycho-education to support the coping strategies of patients and carers. Thematic analysis of interview data identified two main themes including learning experiences and program enhancements. The significance of the clinical supervision sessions as key learning opportunities, achieved through the development of a community of practice, emerged. Although this pilot study has limitations, the results suggest that a combined teaching and supervision program is effective in improving Clinical Nurse Specialists' confidence level in specific psychological skills. Participants' experiences highlighted suggestions for refinement and development of the program. Opportunities for further research and developments in this area are discussed.
Byrom, Bill; Watson, Chris; Doll, Helen; Coons, Stephen Joel; Eremenco, Sonya; Ballinger, Rachel; Mc Carthy, Marie; Crescioni, Mabel; O'Donohoe, Paul; Howry, Cindy
2018-06-01
Wearable devices offer huge potential to collect rich sources of data to provide insights into the effects of treatment interventions. Despite this, at the time of writing this report, limited regulatory guidance on the use of wearables in clinical trial programs has been published. To present recommendations from the Critical Path Institute's Electronic Patient-Reported Outcome Consortium regarding the selection and evaluation of wearable devices and their measurements for use in regulatory trials and to support labeling claims. The evaluation group was composed of Critical Path Institute's clinical outcome assessment (COA) scientists and COA specialists from pharmaceutical trial eCOA solution providers, including COA development and validation specialists. The resulting recommendations were drawn from a broad range of backgrounds, perspectives, and expertise that enriched the development of this report. Recommendations were developed through analysis of existing regulatory guidance relating to COA development and use in clinical trials, medical device certification/clearance regulations, literature-reported best practice, and practical experience of wearable technology application in clinical trials. We identify the essential properties of fit-for-purpose wearables and propose evidence needed to support their use. In addition, we overview the activities required to establish clinical endpoints derived from wearables data. Using this framework, we believe there is enough current understanding to promote the appropriate use of wearables in study protocols. We hope this will provide a basis for discussion among clinical trial stakeholders and catalyze the development of more robust regulatory guidance. Copyright © 2018 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Manufacturing/Cell Therapy Specialist | Center for Cancer Research
Within the Leidos Biomedical Research Inc.’s Clinical Research Directorate, the Clinical Monitoring Research Program (CMRP) provides high-quality comprehensive and strategic operational support to the high-profile domestic and international clinical research initiatives of the National Cancer Institute (NCI), National Institute of Allergy and Infectious Diseases (NIAID), Clinical Center (CC), National Institute of Heart, Lung and Blood Institute (NHLBI), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Center for Advancing Translational Sciences (NCATS), National Institute of Neurological Disorders and Stroke (NINDS), and the National Institute of Mental Health (NIMH). Since its inception in 2001, CMRP’s ability to provide rapid responses, high-quality solutions, and to recruit and retain experts with a variety of backgrounds to meet the growing research portfolios of NCI, NIAID, CC, NHLBI, NIAMS, NCATS, NINDS, and NIMH has led to the considerable expansion of the program and its repertoire of support services. CMRP’s support services are strategically aligned with the program’s mission to provide comprehensive, dedicated support to assist National Institutes of Health researchers in providing the highest quality of clinical research in compliance with applicable regulations and guidelines, maintaining data integrity, and protecting human subjects. For the scientific advancement of clinical research, CMRP services include comprehensive clinical trials, regulatory, pharmacovigilance, protocol navigation and development, and programmatic and project management support for facilitating the conduct of 400+ Phase I, II, and III domestic and international trials on a yearly basis. These trials investigate the prevention, diagnosis, treatment of, and therapies for cancer, influenza, HIV, and other infectious diseases and viruses such as hepatitis C, tuberculosis, malaria, and Ebola virus; heart, lung, and blood diseases and conditions; parasitic infections; rheumatic and inflammatory diseases; and rare and neglected diseases. CMRP’s collaborative approach to clinical research and the expertise and dedication of staff to the continuation and success of the program’s mission has contributed to improving the overall standards of public health on a global scale. The Clinical Monitoring Research Program (CMRP) provides cell culture experience to work on innovative Vector Production and T-cell therapies for cancer treatment, and responsible for cell culture media preparation, vector production, and/or cell processing and cell expansion in the cGMP clinical manufacturing facility in support of the National Cancer Institute’s (NCI’s), Center for Cancer Research (CCR), Surgery Branch (SB). KEY ROLES/RESPONSIBILITIES-THIS POSITION IS CONTINGENT UPON FUNDING APPROVAL Performs testing of raw materials, intermediates, and final products by following analytical methods Maintains, calibrates and operates equipment and instruments supporting cell bioassays, Flow Cytometry, ELISA and PCR assay Tracks and tests products according to protocols Maintains lab in an optimal state Monitors and trends data, completes routine record review of test data and related documents for in-process testing, drug substance and drug product release Generates CoAs for product release Assists in the preparation of dossiers and data packages for interactions between Surgery Branch and Regulatory agencies Develops, revises, and reviews SOPs, qualification/validation protocols and reports Participates in investigations regarding out of specifications (OOS) results; address and manage deviations related to analytical procedures Provides updates at daily and weekly meetings Monitors the GMP systems currently in place to ensure compliance with documented policies Reviews proposed changes to systems, procedures, methods, and submissions to regulatory agencies, as appropriate Gathers metric information for use in continuous improvement of areas of responsibility May develop testing and analysis methods and procedures in accordance with established guidelines
Development of the PANVAC-VF vaccine for pancreatic cancer.
Petrulio, Christian A; Kaufman, Howard L
2006-02-01
PANVAC-VF is a vaccine regimen composed of a priming dose of recombinant vaccinia virus and booster doses of recombinant fowlpox virus expressing carcinoembryonic antigen, mucin-1 and a triad of costimulatory molecules (TRICOM), which include B7.1, intercellular adhesion molecule-1 and leukocyte function-associated antigen-3. Vaccination is administered by subcutaneous injection followed by 4 days of local recombinant adjuvant granulocyte-macrophage colony-stimulating factor at the vaccination site. The vaccine has been developed for patients with advanced pancreatic cancer and has now entered a randomized Phase III clinical trial. This review will describe the background of recombinant poxvirus technology for tumor vaccine development, detail the key preclinical studies supporting the regimen, review the clinical trials supporting the current Phase III study, and highlight the key challenges and future obstacles to successful implementation of PANVAC-VF for pancreatic cancer.
Mary S. Easton Center of Alzheimer's Disease Research at UCLA: advancing the therapeutic imperative.
Cummings, Jeffrey L; Ringman, John; Metz, Karen
2010-01-01
The Mary S. Easton Center for Alzheimer's Disease Research (UCLA-Easton Alzheimer's Center) is committed to the "therapeutic imperative" and is devoted to finding new treatments for Alzheimer's disease (AD) and to developing technologies (biomarkers) to advance that goal. The UCLA-Easton Alzheimer's Center has a continuum of research and research-related activities including basic/foundational studies of peptide interactions; translational studies in transgenic animals and other animal models of AD; clinical research to define the phenotype of AD, characterize familial AD, develop biomarkers, and advance clinical trials; health services and outcomes research; and active education, dissemination, and recruitment activities. The UCLAEaston Alzheimer's Center is supported by the National Institutes on Aging, the State of California, and generous donors who share our commitment to developing new therapies for AD. The naming donor (Jim Easton) provided substantial funds to endow the center and to support projects in AD drug discovery and biomarker development. The Sidell-Kagan Foundation supports the Katherine and Benjamin Kagan Alzheimer's Treatment Development Program, and the Deane F. Johnson Alzheimer's Research Foundation supports the Deane F. Johnson Center for Neurotherapeutics at UCLA. The John Douglas French Alzheimer's Research Foundation provides grants to junior investigators in critical periods of their academic development. The UCLA-Easton Alzheimer's Center partners with community organizations including the Alzheimer's Association California Southland Chapter and the Leeza Gibbons memory Foundation. Collaboration with pharmaceutical companies, biotechnology companies, and device companies is critical to developing new therapeutics for AD and these collaborations are embraced in the mission of the UCLA-Easton Alzheimer's Center. The Center supports excellent senior 3 investigators and serves as an incubator for new scientists, agents, models, technologies and concepts that will significantly influence the future of AD treatment and AD research.
Relational and Purpose Development in Youth Offenders
ERIC Educational Resources Information Center
Coll, Kenneth M.; Thobro, Patti; Haas, Robin
2004-01-01
This study explored which risk factors are associated with degrees of relational and purpose development in youth offenders. Results indicate that those with the poorest development particularly struggled with substance abuse, lack of family support, and risky behaviors to self. Several treatment recommendations and clinical strategies are…
HIS-Based Support of Follow-Up Documentation – Concept and Implementation for Clinical Studies
Herzberg, S.; Fritz, F.; Rahbar, K.; Stegger, L.; Schäfers, M.; Dugas, M.
2011-01-01
Objective Follow-up data must be collected according to the protocol of each clinical study, i.e. at certain time points. Missing follow-up information is a critical problem and may impede or bias the analysis of study data and result in delays. Moreover, additional patient recruitment may be necessary due to incomplete follow-up data. Current electronic data capture (EDC) systems in clinical studies are usually separated from hospital information systems (HIS) and therefore can provide limited functionality to support clinical workflow. In two case studies, we assessed the feasibility of HIS-based support of follow-up documentation. Methods We have developed a data model and a HIS-based workflow to provide follow-up forms according to clinical study protocols. If a follow-up form was due, a database procedure created a follow-up event which was translated by a communication server into an HL7 message and transferred to the import interface of the clinical information system (CIS). This procedure generated the required follow-up form and enqueued a link to it in a work list of the relating study nurses and study physicians, respectively. Results A HIS-based follow-up system automatically generated follow-up forms as defined by a clinical study protocol. These forms were scheduled into work lists of study nurses and study physicians. This system was integrated into the clinical workflow of two clinical studies. In a study from nuclear medicine, each scenario from the test concept according to the protocol of the single photon emission computer tomography/computer tomography (SPECT/CT) study was simulated and each scenario passed the test. For a study in psychiatry, 128 follow-up forms were automatically generated within 27 weeks, on average five forms per week (maximum 12, minimum 1 form per week). Conclusion HIS-based support of follow-up documentation in clinical studies is technically feasible and can support compliance with study protocols. PMID:23616857
Information technology sophistication in nursing homes.
Alexander, Gregory L; Wakefield, Douglas S
2009-07-01
There is growing recognition that a more sophisticated information technology (IT) infrastructure is needed to improve the quality of nursing home care in the United States. The purpose of this study was to explore the concept of IT sophistication in nursing homes considering the level of technological diversity, maturity and level of integration in resident care, clinical support, and administration. Twelve IT stakeholders were interviewed from 4 nursing homes considered to have high IT sophistication using focus groups and key informant interviews. Common themes were derived using qualitative analytics and axial coding from field notes collected during interviews and focus groups. Respondents echoed the diversity of the innovative IT systems being implemented; these included resident alerting mechanisms for clinical decision support, enhanced reporting capabilities of patient-provider interactions, remote monitoring, and networking among affiliated providers. Nursing home IT is in its early stages of adoption; early adopters are beginning to realize benefits across clinical domains including resident care, clinical support, and administrative activities. The most important thread emerging from these discussions was the need for further interface development between IT systems to enhance integrity and connectivity. The study shows that some early adopters of sophisticated IT systems in nursing homes are beginning to achieve added benefit for resident care, clinical support, and administrative activities.
Liddle, Jacki; Gustafsson, Louise; Mitchell, Geoffrey; Pachana, Nancy A
2017-02-01
Recognizing the clinical importance and safety and well-being implications for the population, a multidisciplinary team has been researching older drivers and driving cessation issues for more than 15 years. Using empirical approaches, the team has explored quality of life and participation outcomes related to driving and nondriving for older people and has developed interventions to improve outcomes after driving cessation. The team members represent occupational therapists, medical practitioners, and clinical and neuropsychologists. While building the evidence base for driving- and driving cessation-related clinical practice, the researchers have also had first-hand experiences of interruptions to their own or parents' driving; involvement of older family members in road crashes; and provision of support during family members' driving assessment and cessation. This has led to reflection on their understandings and re-evaluation and refocusing of their perspectives in driving cessation research. This work will share the narratives of the authors and note their developing perspectives and foci within research as well as their clinical practice. Personal reflections have indicated the far-reaching implications for older drivers and family members of involvement in road crashes: the potential for interruptions to driving as a time for support and future planning and the conflicting and difficult roles of family members within the driving cessation process. Overall the lived, personal experience of the authors has reinforced the complex nature of driving and changes to driving status for the driver and their support team and the need for further research and support. © The Author 2016. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
[Knowledge management system for laboratory work and clinical decision support].
Inada, Masanori; Sato, Mayumi; Yoneyama, Akiko
2011-05-01
This paper discusses a knowledge management system for clinical laboratories. In the clinical laboratory of Toranomon Hospital, we receive about 20 questions relevant to laboratory tests per day from medical doctors or co-medical staff. These questions mostly involve the essence to appropriately accomplish laboratory tests. We have to answer them carefully and suitably because an incorrect answer may cause a medical accident. Up to now, no method has been in place to achieve a rapid response and standardized answers. For this reason, the laboratory staff have responded to various questions based on their individual knowledge. We began to develop a knowledge management system to promote the knowledge of staff working for the laboratory. This system is a type of knowledge base for assisting the work, such as inquiry management, laboratory consultation, process management, and clinical support. It consists of several functions: guiding laboratory test information, managing inquiries from medical staff, reporting results of patient consultation, distributing laboratory staffs notes, and recording guidelines for laboratory medicine. The laboratory test information guide has 2,000 records of medical test information registered in the database with flexible retrieval. The inquiry management tool provides a methos to record all questions, answer easily, and retrieve cases. It helps staff to respond appropriately in a short period of time. The consulting report system treats patients' claims regarding medical tests. The laboratory staffs notes enter a file management system so they can be accessed to aid in clinical support. Knowledge sharing using this function can achieve the transition from individual to organizational learning. Storing guidelines for laboratory medicine will support EBM. Finally, it is expected that this system will support intellectual activity concerning laboratory work and contribute to the practice of knowledge management for clinical work support.
Landis-Lewis, Zach; Brehaut, Jamie C; Hochheiser, Harry; Douglas, Gerald P; Jacobson, Rebecca S
2015-01-21
Evidence shows that clinical audit and feedback can significantly improve compliance with desired practice, but it is unclear when and how it is effective. Audit and feedback is likely to be more effective when feedback messages can influence barriers to behavior change, but barriers to change differ across individual health-care providers, stemming from differences in providers' individual characteristics. The purpose of this article is to invite debate and direct research attention towards a novel audit and feedback component that could enable interventions to adapt to barriers to behavior change for individual health-care providers: computer-supported tailoring of feedback messages. We argue that, by leveraging available clinical data, theory-informed knowledge about behavior change, and the knowledge of clinical supervisors or peers who deliver feedback messages, a software application that supports feedback message tailoring could improve feedback message relevance for barriers to behavior change, thereby increasing the effectiveness of audit and feedback interventions. We describe a prototype system that supports the provision of tailored feedback messages by generating a menu of graphical and textual messages with associated descriptions of targeted barriers to behavior change. Supervisors could use the menu to select messages based on their awareness of each feedback recipient's specific barriers to behavior change. We anticipate that such a system, if designed appropriately, could guide supervisors towards giving more effective feedback for health-care providers. A foundation of evidence and knowledge in related health research domains supports the development of feedback message tailoring systems for clinical audit and feedback. Creating and evaluating computer-supported feedback tailoring tools is a promising approach to improving the effectiveness of clinical audit and feedback.
Kamal, Jyoti; Liu, Jianhua; Ostrander, Michael; Santangelo, Jennifer; Dyta, Ravi; Rogers, Patrick; Mekhjian, Hagop S.
2010-01-01
Since its inception in 1997, the IW (Information Warehouse) at the Ohio State University Medical Center (OSUMC) has gradually transformed itself from a single purpose business decision support system to a comprehensive informatics platform supporting basic, clinical, and translational research. The IW today is the combination of four integrated components: a clinical data repository containing over a million patients; a research data repository housing various research specific data; an application development platform for building business and research enabling applications; a business intelligence environment assisting in reporting in all function areas. The IW is structured and encoded using standard terminologies such as SNOMED-CT, ICD, and CPT. The IW is an important component of OSUMC’s Clinical and Translational Science Award (CTSA) informatics program. PMID:21347019
Jiang, Guoqian; Evans, Julie; Endle, Cory M; Solbrig, Harold R; Chute, Christopher G
2016-01-01
The Biomedical Research Integrated Domain Group (BRIDG) model is a formal domain analysis model for protocol-driven biomedical research, and serves as a semantic foundation for application and message development in the standards developing organizations (SDOs). The increasing sophistication and complexity of the BRIDG model requires new approaches to the management and utilization of the underlying semantics to harmonize domain-specific standards. The objective of this study is to develop and evaluate a Semantic Web-based approach that integrates the BRIDG model with ISO 21090 data types to generate domain-specific templates to support clinical study metadata standards development. We developed a template generation and visualization system based on an open source Resource Description Framework (RDF) store backend, a SmartGWT-based web user interface, and a "mind map" based tool for the visualization of generated domain-specific templates. We also developed a RESTful Web Service informed by the Clinical Information Modeling Initiative (CIMI) reference model for access to the generated domain-specific templates. A preliminary usability study is performed and all reviewers (n = 3) had very positive responses for the evaluation questions in terms of the usability and the capability of meeting the system requirements (with the average score of 4.6). Semantic Web technologies provide a scalable infrastructure and have great potential to enable computable semantic interoperability of models in the intersection of health care and clinical research.
Braido, Fulvio; Santus, Pierachille; Corsico, Angelo Guido; Di Marco, Fabiano; Melioli, Giovanni; Scichilone, Nicola; Solidoro, Paolo
2018-01-01
The purposes of this study were development and validation of an expert system (ES) aimed at supporting the diagnosis of chronic obstructive lung disease (COLD). A questionnaire and a WebFlex code were developed and validated in silico. An expert panel pilot validation on 60 cases and a clinical validation on 241 cases were performed. The developed questionnaire and code validated in silico resulted in a suitable tool to support the medical diagnosis. The clinical validation of the ES was performed in an academic setting that included six different reference centers for respiratory diseases. The results of the ES expressed as a score associated with the risk of suffering from COLD were matched and compared with the final clinical diagnoses. A set of 60 patients were evaluated by a pilot expert panel validation with the aim of calculating the sample size for the clinical validation study. The concordance analysis between these preliminary ES scores and diagnoses performed by the experts indicated that the accuracy was 94.7% when both experts and the system confirmed the COLD diagnosis and 86.3% when COLD was excluded. Based on these results, the sample size of the validation set was established in 240 patients. The clinical validation, performed on 241 patients, resulted in ES accuracy of 97.5%, with confirmed COLD diagnosis in 53.6% of the cases and excluded COLD diagnosis in 32% of the cases. In 11.2% of cases, a diagnosis of COLD was made by the experts, although the imaging results showed a potential concomitant disorder. The ES presented here (COLD ES ) is a safe and robust supporting tool for COLD diagnosis in primary care settings.
How do Medical Radiation Science educators keep up with the [clinical] Joneses?
DOE Office of Scientific and Technical Information (OSTI.GOV)
Giles, Eileen
Medical radiation science (MRS) disciplines include medical imaging, radiation therapy and nuclear medicine. These allied health fields are technology driven and evolving rapidly with regard to imaging and treatment techniques within the clinical environment. This research aims to identify the activities academics are currently participating in to maintain clinical currency and offer strategies to support academics to connect with an ever-changing clinical environment. A cross-sectional designed survey was sampled across the nine Australian universities where MRS programmes are offered. The survey targeted academic teaching staff that were working in MRS programmes at the time of distribution (n ≈ 90). Enablersmore » and barriers to maintaining clinical currency as well as support to participate in continuing professional development were rated by the respondents. Descriptive statistics were used to analyse quantitative data, and free-text comment responses were collated and themed. There were 38 responses to the survey (42%) and all three disciplines were represented. Responses highlighted activities valued by academics as contributing to their knowledge of current practice and as resources to inform their teaching. Positive elements included participating in clinical work and research, attending clinical sites and training days and attending scientific meetings. Common barriers identified by academics in this area were time constraints, workload allocation and employer/financial support. This research has identified that Australian MRS academics participate in a broad range of activities to inform their teaching and maintain knowledge of contemporary clinical practice. A connection with the clinical world is valued highly by academics, however, access and support to maintain that link is often a difficulty and as a result for MRS teaching staff keeping up with the clinical [MRS] Joneses is often a challenge.« less
Zhang, Yi-Fan; Tian, Yu; Zhou, Tian-Shu; Araki, Kenji; Li, Jing-Song
2016-01-01
The broad adoption of clinical decision support systems within clinical practice has been hampered mainly by the difficulty in expressing domain knowledge and patient data in a unified formalism. This paper presents a semantic-based approach to the unified representation of healthcare domain knowledge and patient data for practical clinical decision making applications. A four-phase knowledge engineering cycle is implemented to develop a semantic healthcare knowledge base based on an HL7 reference information model, including an ontology to model domain knowledge and patient data and an expression repository to encode clinical decision making rules and queries. A semantic clinical decision support system is designed to provide patient-specific healthcare recommendations based on the knowledge base and patient data. The proposed solution is evaluated in the case study of type 2 diabetes mellitus inpatient management. The knowledge base is successfully instantiated with relevant domain knowledge and testing patient data. Ontology-level evaluation confirms model validity. Application-level evaluation of diagnostic accuracy reaches a sensitivity of 97.5%, a specificity of 100%, and a precision of 98%; an acceptance rate of 97.3% is given by domain experts for the recommended care plan orders. The proposed solution has been successfully validated in the case study as providing clinical decision support at a high accuracy and acceptance rate. The evaluation results demonstrate the technical feasibility and application prospect of our approach. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
A model for the electronic support of practice-based research networks.
Peterson, Kevin A; Delaney, Brendan C; Arvanitis, Theodoros N; Taweel, Adel; Sandberg, Elisabeth A; Speedie, Stuart; Richard Hobbs, F D
2012-01-01
The principal goal of the electronic Primary Care Research Network (ePCRN) is to enable the development of an electronic infrastructure to support clinical research activities in primary care practice-based research networks (PBRNs). We describe the model that the ePCRN developed to enhance the growth and to expand the reach of PBRN research. Use cases and activity diagrams were developed from interviews with key informants from 11 PBRNs from the United States and United Kingdom. Discrete functions were identified and aggregated into logical components. Interaction diagrams were created, and an overall composite diagram was constructed describing the proposed software behavior. Software for each component was written and aggregated, and the resulting prototype application was pilot tested for feasibility. A practical model was then created by separating application activities into distinct software packages based on existing PBRN business rules, hardware requirements, network requirements, and security concerns. We present an information architecture that provides for essential interactions, activities, data flows, and structural elements necessary for providing support for PBRN translational research activities. The model describes research information exchange between investigators and clusters of independent data sites supported by a contracted research director. The model was designed to support recruitment for clinical trials, collection of aggregated anonymous data, and retrieval of identifiable data from previously consented patients across hundreds of practices. The proposed model advances our understanding of the fundamental roles and activities of PBRNs and defines the information exchange commonly used by PBRNs to successfully engage community health care clinicians in translational research activities. By describing the network architecture in a language familiar to that used by software developers, the model provides an important foundation for the development of electronic support for essential PBRN research activities.
Kuiper, Ruth Anne; Pesut, Daniel J
2004-02-01
Effective clinical reasoning in nursing practice depends on the development of both cognitive and metacognitive skills. While a number of strategies have been implemented and tested to promote these skills, educators have not been able consistently to predict their development. Self-regulated learning theory suggests that this development requires concurrent attention to both the cognitive and metacognitive dimensions of reasoning in nursing care contexts. This paper reports on a study to explore the impact of self-regulated learning theory on reflective practice in nursing, and to advance the idea that both cognitive and metacognitive skills support the development of clinical reasoning skills. Integrative review of published literature in social science, educational psychology, nursing education, and professional education using the Cumulative Index to Nursing and Allied Health (CINAHL), Educational Resource Information Center (ERIC), and American Psychological Association (PsychInfo) Databases. The search included all English language articles with the key words clinical reasoning, cognition, critical thinking, metacognition, reflection, reflective practice, self-regulation and thinking. Reflective clinical reasoning in nursing practice depends on the development of both cognitive and metacognitive skill acquisition. This skill acquisition is best accomplished through teaching-learning attention to self-regulation learning theory. A critical analysis of the literature in the areas of critical thinking and reflective practice are described as a background for contemporary work with self-regulated learning theory. It is apparent that single-minded attention to critical thinking, without attention to the influence of metacognition or reflection, is but one perspective on clinical reasoning development. Likewise, single-minded attention to metacognition or reflection, without attention to the influence of critical thinking, is another perspective on clinical reasoning development. While strategies to facilitate critical thinking and reflective practice have been used in isolation from each other, there is evidence to suggest that they are inextricably linked and come together with the use of self-regulated learning prompts. Students and practising nurses are able to improve their cognitive and metacognitive skills in clinical contexts by using self-regulated learning strategies. The self-regulated learning model in nursing is offered to support teaching and learning of reflective clinical reasoning in nursing practice contexts.
Parkin, Claire; Bullock, Ian
2005-04-01
Working within a modern National Health Service in the United Kingdom, the place for research and its dissemination is increasingly important. The organization of this within each National Health Service (NHS) Trust is challenging but nevertheless essential. If health care professionals are to be empowered to adopt an evidence-based approach in both the planning and delivery of care, research aware employees are crucial. This paper highlights the importance of NHS hospital trusts implementing initiatives that will facilitate this process. One such initiative has been the development and survey of a clinical standard for research. The primary development aim was to provide a benchmark standard for all nursing research. The standard was developed to fit within the current dynamic quality improvement (DQI) programme and has directly contributed to an evolving culture of research by shaping nurses' awareness, and offering a support and consultancy network within the Trust. The standard is one aspect of a research awareness programme, with the primary objective of providing guidance and education whilst developing nurses throughout the research process. The planned strategic outcome is to see a positive outcome on the quality of research in the Trust. A baseline survey was conducted to provide a definitive snap shot of research understanding and practice within the Trust following the introduction of the research standard. The standard was developed by a team of clinicians led by a member of the quality team, to ensure that it fitted the DQI structure, and a member of the Nursing Research Unit (NRU). The standard was distributed to every clinical area and 192 nurses were surveyed to evaluate its impact on their awareness of educational opportunities, their use of the consultancy and support service, their use of other support services, their research utilization and research quality. The survey demonstrated that the implementation of the standard had increased awareness related to both formal and informal educational and research opportunities. It identified current nurses' strengths and weaknesses relative to all aspects of the research process, particularly in obtaining ethical approval for studies. A rolling programme of research education enabled nurses to gain essential knowledge and skills in supporting their developing research awareness, consumption and conduct of research. The NRU, through this process, has formed an effective alliance between clinical nurses and research facilitators in promoting high quality research. The foundations to continue to support this within the Trust are now well established.
Núñez-Sellés, Alberto J; Delgado-Hernández, René; Garrido-Garrido, Gabino; García-Rivera, Dagmar; Guevara-García, Mariela; Pardo-Andreu, Gilberto L
2007-05-01
Recent findings regarding basic, pre-clinical and clinical studies on a mango stem bark extract (MSBE) developed in Cuba (Vimang) on an industrial scale are summarized. Ethnomedical studies, extract reproducibility, biological effects and clinical evaluations in terms of patient quality of life are described as experimental evidences to support the statement that natural products, even being a mixture of compounds, could be as effective as "monoceuticals" for medical uses. Discussion about the use of "monoceuticals" versus "natureceuticals" in health care and medicine is based on effectiveness and availability, taking Vimang as an example of a natural product with supported scientific evidence to be used as antioxidant, analgesic, anti-inflammatory and immunomodulator.
Education in the workplace for the physician: clinical management states as an organizing framework.
Greenes, R A
2000-01-01
Medical educators are interested in approaches to making selected relevant knowledge available in the context of problem-based care. This is of value both during the process of care and as a means of organizing information for offline self-study. Four trends in health information technology are relevant to achieving the goal and can be expected to play a growing role in the future. First, health care enterprises are developing approaches for access to information resources related to the care of a patient, including clinical data and images but also communication tools, referral and other logistic tools, decision support, and educational materials. Second, information for patients and methods for patient-doctor interaction and decision making are becoming available. Third, computer-based methods for representation of practice guidelines are being developed to support applications that can incorporate their logic. Finally, considering patients as being in particular "clinical management states" (or CMSs) for specific problems, approaches are being developed to use guidelines as a kind of "predictive" framework to enable development of interfaces for problem-based clinical encounters. The guidelines for a CMS can be used to identify the kinds of resources specifically needed for clinical encounters of that type. As the above trends converge to produce problem-specific environments, professional specialty organizations and continuing medical education course designers will need to focus energies on organizing and updating medical knowledge to make it available in CMS-specific contexts.
Describing and Modeling Workflow and Information Flow in Chronic Disease Care
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