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Vest JR, Unruh MA, Hilts KE, Sanner L, Jones J, Khokhar S, Jung HY. End user information needs for a SMART on FHIR-based automated transfer form to support the care of nursing home patients during emergency department visits. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2021; 2020:1239-1248. [PMID: 33936500 PMCID: PMC8075455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Nursing home (NH) patients are extensive users of emergency department (ED) services. Problematically, poor information sharing and incomplete access to information complicates the delivery of care in EDs for NH patients. Paper-based transfer forms can support information sharing, but have significant limitations. Standards-based automated transfer-forms that leverage health information exchange data may address the limitations of paper-based forms and better support care delivery. This study developed a prototype SMART on FHIR automated transfer form for NH patients using priority data elements identified through individual interviews, a review of existing transfer forms, a targeted survey of end users, and a design workshop. Analyses were grounded in the 5 Rights of clinical decision support framework. The most valuable data elements included: emergency contact/healthcare proxy, current medication list, reason for transfer to the ED, baseline neurological state, and relevant diagnoses / medical history. The working prototype was successfully deployed within an Amazon Web Service environment.
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Affiliation(s)
- Joshua R Vest
- Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
- Regenstrief Institute, Inc., Indianapolis, IN, USA
| | - Mark A Unruh
- Weill Cornell Medical College, New York, NY, USA
| | - Katy Ellis Hilts
- Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Lindsey Sanner
- Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Joshua Jones
- Regenstrief Institute, Inc., Indianapolis, IN, USA
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Wong SP, Jacobson HN, Massengill J, White HK, Yanamadala M. Safe Interorganizational Health Information Exchange During the COVID-19 Pandemic. J Am Med Dir Assoc 2020; 21:1808-1810. [PMID: 33162358 PMCID: PMC7580699 DOI: 10.1016/j.jamda.2020.10.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 07/27/2020] [Accepted: 10/18/2020] [Indexed: 11/21/2022]
Abstract
Accurate and timely transmission of medical records between skilled nursing facilities and acute care settings has been logistically problematic. Often people are sent to the hospital with a packet of paper records, which is easily misplaced. The COVID-19 pandemic has further magnified this problem by the possibility of viral transmission via fomites. To protect themselves, staff and providers were donning personal protective equipment to review paper records, which was time-consuming and wasteful. We describe an innovative process developed by a team of hospital leadership, members of a local collaborative of skilled nursing facilities, and leadership of this collaborative group, to address this problem. Many possible solutions were suggested and reviewed. We describe the reasons for selecting our final document transfer process and how it was implemented. The critical success factors are also delineated. Other health systems and collaborative groups of skilled nursing facilities may benefit from implementing similar processes.
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Affiliation(s)
- Serena P Wong
- Division of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Heather N Jacobson
- Population Health Management Office, Duke University Health System, Durham, NC, USA
| | - Jennifer Massengill
- Department of Performance Services, Duke University Health System, Durham, NC, USA
| | - Heidi K White
- Division of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Mamata Yanamadala
- Division of Geriatric Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Hanratty B, Craig D, Brittain K, Spilsbury K, Vines J, Wilson P. Innovation to enhance health in care homes and evaluation of tools for measuring outcomes of care: rapid evidence synthesis. HEALTH SERVICES AND DELIVERY RESEARCH 2019. [DOI: 10.3310/hsdr07270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BackgroundFlexible, integrated models of service delivery are being developed to meet the changing demands of an ageing population. To underpin the spread of innovative models of care across the NHS, summaries of the current research evidence are needed. This report focuses exclusively on care homes and reviews work in four specific areas, identified as key enablers for the NHS England vanguard programme.AimTo conduct a rapid synthesis of evidence relating to enhancing health in care homes across four key areas: technology, communication and engagement, workforce and evaluation.Objectives(1) To map the published literature on the uses, benefits and challenges of technology in care homes; flexible and innovative uses of the nursing and support workforce to benefit resident care; communication and engagement between care homes, communities and health-related organisations; and approaches to the evaluation of new models of care in care homes. (2) To conduct rapid, systematic syntheses of evidence to answer the following questions. Which technologies have a positive impact on resident health and well-being? How should care homes and the NHS communicate to enhance resident, family and staff outcomes and experiences? Which measurement tools have been validated for use in UK care homes? What is the evidence that staffing levels (i.e. ratio of registered nurses and support staff to residents or different levels of support staff) influence resident outcomes?Data sourcesSearches of MEDLINE, CINAHL, Science Citation Index, Cochrane Database of Systematic Reviews, DARE (Database of Abstracts of Reviews of Effects) and Index to Theses. Grey literature was sought via Google™ (Mountain View, CA, USA) and websites relevant to each individual search.DesignMapping review and rapid, systematic evidence syntheses.SettingCare homes with and without nursing in high-income countries.Review methodsPublished literature was mapped to a bespoke framework, and four linked rapid critical reviews of the available evidence were undertaken using systematic methods. Data were not suitable for meta-analysis, and are presented in narrative syntheses.ResultsSeven hundred and sixty-one studies were mapped across the four topic areas, and 65 studies were included in systematic rapid reviews. This work identified a paucity of large, high-quality research studies, particularly from the UK. The key findings include the following. (1) Technology: some of the most promising interventions appear to be games that promote physical activity and enhance mental health and well-being. (2) Communication and engagement: structured communication tools have been shown to enhance communication with health services and resident outcomes in US studies. No robust evidence was identified on care home engagement with communities. (3) Evaluation: 6 of the 65 measurement tools identified had been validated for use in UK care homes, two of which provide general assessments of care. The methodological quality of all six tools was assessed as poor. (4) Workforce: joint working within and beyond the care home and initiatives that focus on staff taking on new but specific care tasks appear to be associated with enhanced outcomes. Evidence for staff taking on traditional nursing tasks without qualification is limited, but promising.LimitationsThis review was restricted to English-language publications after the year 2000. The rapid methodology has facilitated a broad review in a short time period, but the possibility of omissions and errors cannot be excluded.ConclusionsThis review provides limited evidential support for some of the innovations in the NHS vanguard programme, and identifies key issues and gaps for future research and evaluation.Future workFuture work should provide high-quality evidence, in particular experimental studies, economic evaluations and research sensitive to the UK context.Study registrationThis study is registered as PROSPERO CRD42016052933, CRD42016052933, CRD42016052937 and CRD42016052938.FundingThe National Institute for Health Research Health Services and Delivery Research programme.
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Affiliation(s)
- Barbara Hanratty
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Dawn Craig
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Katie Brittain
- Department of Nursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK
| | | | - John Vines
- Northumbria School of Design, Northumbria University, Newcastle upon Tyne, UK
| | - Paul Wilson
- Alliance Manchester Business School, University of Manchester, Manchester, UK
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC) Greater Manchester, University of Manchester, Manchester, UK
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Kruse CS, Marquez G, Nelson D, Palomares O. The Use of Health Information Exchange to Augment Patient Handoff in Long-Term Care: A Systematic Review. Appl Clin Inform 2018; 9:752-771. [PMID: 30282094 PMCID: PMC6170191 DOI: 10.1055/s-0038-1670651] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Accepted: 07/29/2018] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Legislation aimed at increasing the use of a health information exchange (HIE) in healthcare has excluded long-term care facilities, resulting in a vulnerable patient population that can benefit from the improvement of communication and reduction of waste. OBJECTIVE The purpose of this review is to provide a framework for future research by identifying themes in the long-term care information technology sector that could function to enable the adoption and use of HIE mechanisms for patient handoff between long-term care facilities and other levels of care to increase communication between providers, shorten length of stay, reduce 60-day readmissions, and increase patient safety. METHODS The authors conducted a systematic search of literature through CINAHL, PubMed, and Discovery Services for Texas A&M University Libraries. Search terms used were ("health information exchange" OR "healthcare information exchange" OR "HIE") AND ("long term care" OR "long-term care" OR "nursing home" OR "nursing facility" OR "skilled nursing facility" OR "SNF" OR "residential care" OR "assisted living"). Articles were eligible for selection if they were published between 2010 and 2017, published in English, and published in academic journals. All articles were reviewed by all reviewers and literature not relevant to the research objective was excluded. RESULTS Researchers selected and reviewed 22 articles for common themes. Results concluded that the largest facilitator and barrier to the adoption of HIE mechanisms is workflow integration/augmentation and the organizational structure/culture, respectively. Other identified facilitator themes were enhanced communication, increased effectiveness of care, and patient safety. The additional barriers were missing/incomplete data, inefficiency, and market conditions. CONCLUSION The long-term care industry has been left out of incentives from which the industry could have benefited tremendously. Organizations that are not utilizing health information technology mechanisms, such as electronic health records and HIEs, are at a disadvantage as insurers switch to capitated forms of payment that rely on reduced waste to generate a profit.
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Affiliation(s)
- Clemens Scott Kruse
- School of Health Administration, Texas State University, San Marcos, Texas, United States
| | - Gabriella Marquez
- School of Health Administration, Texas State University, San Marcos, Texas, United States
| | - Daniel Nelson
- School of Health Administration, Texas State University, San Marcos, Texas, United States
| | - Olivia Palomares
- School of Health Administration, Texas State University, San Marcos, Texas, United States
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Linking the health data system in the U.S.: Challenges to the benefits. Int J Nurs Sci 2017; 4:410-417. [PMID: 31406785 PMCID: PMC6626162 DOI: 10.1016/j.ijnss.2017.09.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 06/12/2017] [Accepted: 09/29/2017] [Indexed: 11/20/2022] Open
Abstract
In order to improve patient care in the United States there, the government made a mandate called HIE (Health Information Exchange). This order was created from the belief that sharing digital health information between, across, and within health communities will improve one's healthcare experience across their lifespan. Patient health information, i.e. the personal health record, should be shareable between healthcare providers; such as private practice physicians, home health agencies, hospitals and nursing care facilities. Most of the U.S. hospitals now have electronic health records, however, with a lack of standards for structuring health information and unified communication protocols to share health information across providers, only a small percentage of U.S. hospitals engage in computerized HIE. In order to understand barriers and facilitators in the U.S. of HIE adoption, we reviewed the published research literature between 2010 and 2015. Our search yielded 664 articles from Medline, PsychInfo, Global health, InSpec, Scopus and Business Source Complete databases. Thirty-nine articles met our inclusion criteria. This article presents the compiled organizational and end user barriers and facilitators along with suggested methods to achieve continuity of care through HIE.
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Sitapati A, Kim H, Berkovich B, Marmor R, Singh S, El-Kareh R, Clay B, Ohno-Machado L. Integrated precision medicine: the role of electronic health records in delivering personalized treatment. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2017; 9. [PMID: 28207198 DOI: 10.1002/wsbm.1378] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Revised: 10/24/2016] [Accepted: 12/02/2016] [Indexed: 12/23/2022]
Abstract
Precision Medicine involves the delivery of a targeted, personalized treatment for a given patient. By harnessing the power of electronic health records (EHRs), we are increasingly able to practice precision medicine to improve patient outcomes. In this article, we introduce the scientific community at large to important building blocks for personalized treatment, such as terminology standards that are the foundation of the EHR and allow for exchange of health information across systems. We briefly review different types of clinical decision support (CDS) and present the current state of CDS, which is already improving the care patients receive with genetic profile-based tailored recommendations regarding diagnostic and treatment plans. We also report on limitations of current systems, which are slowly beginning to integrate new genomic data into patient records but still present many challenges. Finally, we discuss future directions and how the EHR can evolve to increase the capacity of the healthcare system in delivering Precision Medicine at the point of care. WIREs Syst Biol Med 2017, 9:e1378. doi: 10.1002/wsbm.1378 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Amy Sitapati
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Hyeoneui Kim
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | | | - Rebecca Marmor
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Siddharth Singh
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Robert El-Kareh
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Brian Clay
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA
| | - Lucila Ohno-Machado
- Department of Medicine, UC San Diego, San Diego, CA, USA.,UC San Diego Health System, San Diego, CA, USA.,Department of Biomedical Informatics, UC San Diego, San Diego, CA, USA.,San Diego VA Health System
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Lehmann CU, Gundlapalli AV. Improving Bridging from Informatics Practice to Theory. Methods Inf Med 2015; 54:540-5. [PMID: 26577504 DOI: 10.3414/me15-01-0138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 10/22/2015] [Indexed: 11/09/2022]
Abstract
BACKGROUND In 1962, Methods of Information in Medicine ( MIM ) began to publish papers on the methodology and scientific fundamentals of organizing, representing, and analyzing data, information, and knowledge in biomedicine and health care. Considered a companion journal, Applied Clinical Informatics ( ACI ) was launched in 2009 with a mission to establish a platform that allows sharing of knowledge between clinical medicine and health IT specialists as well as to bridge gaps between visionary design and successful and pragmatic deployment of clinical information systems. Both journals are official journals of the International Medical Informatics Association. OBJECTIVES As a follow-up to prior work, we set out to explore congruencies and interdependencies in publications of ACI and MIM. The objectives were to describe the major topics discussed in articles published in ACI in 2014 and to determine if there was evidence that theory in 2014 MIM publications was informed by practice described in ACI publications in any year. We also set out to describe lessons learned in the context of bridging informatics practice and theory and offer opinions on how ACI editorial policies could evolve to foster and improve such bridging. METHODS We conducted a retrospective observational study and reviewed all articles published in ACI during the calendar year 2014 (Volume 5) for their main theme, conclusions, and key words. We then reviewed the citations of all MIM papers from 2014 to determine if there were references to ACI articles from any year. Lessons learned in the context of bridging informatics practice and theory and opinions on ACI editorial policies were developed by consensus among the two authors. RESULTS A total of 70 articles were published in ACI in 2014. Clinical decision support, clinical documentation, usability, Meaningful Use, health information exchange, patient portals, and clinical research informatics emerged as major themes. Only one MIM article from 2014 cited an ACI article. There are several lessons learned including the possibility that there may not be direct links between MIM theory and ACI practice articles. ACI editorial policies will continue to evolve to reflect the breadth and depth of the practice of clinical informatics and articles received for publication. Efforts to encourage bridging of informatics practice and theory may be considered by the ACI editors. CONCLUSIONS The lack of direct links from informatics theory-based papers published in MIM in 2014 to papers published in ACI continues as was described for papers published during 2012 to 2013 in the two companion journals. Thus, there is little evidence that theory in MIM has been informed by practice in ACI.
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Affiliation(s)
| | - A V Gundlapalli
- Adi V. Gundlapalli, MD, PhD, MS, Chief Health Informatics Officer, VA Salt Lake City Health Care System, Salt Lake City, UT 84148, USA, E-mail:
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