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Why Is the Electronic Health Record So Challenging for Research and Clinical Care?
Holmes, John H; Beinlich, James; Boland, Mary R; Bowles, Kathryn H; Chen, Yong; Cook, Tessa S; Demiris, George; Draugelis, Michael; Fluharty, Laura; Gabriel, Peter E; Grundmeier, Robert; Hanson, C William; Herman, Daniel S; Himes, Blanca E; Hubbard, Rebecca A; Kahn, Charles E; Kim, Dokyoon; Koppel, Ross; Long, Qi; Mirkovic, Nebojsa; Morris, Jeffrey S; Mowery, Danielle L; Ritchie, Marylyn D; Urbanowicz, Ryan; Moore, Jason H.
  • Holmes JH; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Beinlich J; Information Technology Entity Services and Corporate Information Services, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
  • Boland MR; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Bowles KH; Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, United States.
  • Chen Y; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Cook TS; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Demiris G; Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, United States.
  • Draugelis M; Department of Predictive Health Care, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
  • Fluharty L; Clinical Research Operations, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
  • Gabriel PE; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Grundmeier R; Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States.
  • Hanson CW; Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Herman DS; Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia, Pennsylvania, United States.
  • Himes BE; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Hubbard RA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Kahn CE; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Kim D; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Koppel R; Department of Sociology, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
  • Long Q; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Mirkovic N; Department of Research Analytics, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States.
  • Morris JS; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Mowery DL; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Ritchie MD; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Urbanowicz R; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
  • Moore JH; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States.
Methods Inf Med ; 60(1-02): 32-48, 2021 May.
Article in English | MEDLINE | ID: covidwho-1331415
ABSTRACT

BACKGROUND:

The electronic health record (EHR) has become increasingly ubiquitous. At the same time, health professionals have been turning to this resource for access to data that is needed for the delivery of health care and for clinical research. There is little doubt that the EHR has made both of these functions easier than earlier days when we relied on paper-based clinical records. Coupled with modern database and data warehouse systems, high-speed networks, and the ability to share clinical data with others are large number of challenges that arguably limit the optimal use of the EHR

OBJECTIVES:

Our goal was to provide an exhaustive reference for those who use the EHR in clinical and research contexts, but also for health information systems professionals as they design, implement, and maintain EHR systems.

METHODS:

This study includes a panel of 24 biomedical informatics researchers, information technology professionals, and clinicians, all of whom have extensive experience in design, implementation, and maintenance of EHR systems, or in using the EHR as clinicians or researchers. All members of the panel are affiliated with Penn Medicine at the University of Pennsylvania and have experience with a variety of different EHR platforms and systems and how they have evolved over time.

RESULTS:

Each of the authors has shared their knowledge and experience in using the EHR in a suite of 20 short essays, each representing a specific challenge and classified according to a functional hierarchy of interlocking facets such as usability and usefulness, data quality, standards, governance, data integration, clinical care, and clinical research.

CONCLUSION:

We provide here a set of perspectives on the challenges posed by the EHR to clinical and research users.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Electronic Health Records / Health Information Systems Subject: Electronic Health Records / Health Information Systems Language: English Journal: Methods Inf Med Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Electronic Health Records / Health Information Systems Subject: Electronic Health Records / Health Information Systems Language: English Journal: Methods Inf Med Year: 2021
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