Literature DB >> 34282602

Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

John H Holmes1, James Beinlich2, Mary R Boland1, Kathryn H Bowles3, Yong Chen1, Tessa S Cook4, George Demiris3, Michael Draugelis5, Laura Fluharty6, Peter E Gabriel4, Robert Grundmeier7, C William Hanson8, Daniel S Herman9, Blanca E Himes1, Rebecca A Hubbard1, Charles E Kahn4, Dokyoon Kim1, Ross Koppel10, Qi Long1, Nebojsa Mirkovic11, Jeffrey S Morris1, Danielle L Mowery1, Marylyn D Ritchie12, Ryan Urbanowicz1, Jason H Moore1.   

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. Thieme. All rights reserved.

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Year:  2021        PMID: 34282602      PMCID: PMC9295893          DOI: 10.1055/s-0041-1731784

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   1.800


  86 in total

1.  Workarounds and Test Results Follow-up in Electronic Health Record-Based Primary Care.

Authors:  Shailaja Menon; Daniel R Murphy; Hardeep Singh; Ashley N D Meyer; Dean F Sittig
Journal:  Appl Clin Inform       Date:  2016-06-22       Impact factor: 2.342

2.  Ensuring Fairness in Machine Learning to Advance Health Equity.

Authors:  Alvin Rajkomar; Michaela Hardt; Michael D Howell; Greg Corrado; Marshall H Chin
Journal:  Ann Intern Med       Date:  2018-12-04       Impact factor: 25.391

3.  Provider management strategies of abnormal test result alerts: a cognitive task analysis.

Authors:  Sylvia J Hysong; Mona K Sawhney; Lindsay Wilson; Dean F Sittig; Donna Espadas; Traber Davis; Hardeep Singh
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

4.  Evaluating common data models for use with a longitudinal community registry.

Authors:  Maryam Garza; Guilherme Del Fiol; Jessica Tenenbaum; Anita Walden; Meredith Nahm Zozus
Journal:  J Biomed Inform       Date:  2016-10-29       Impact factor: 6.317

5.  Challenges in Identifying Patients with Type 2 Diabetes for Quality-Improvement Interventions in Primary Care Settings and the Importance of Valid Disease Registries.

Authors:  Lisa Wozniak; Allison Soprovich; Sandra Rees; Steven T Johnson; Sumit R Majumdar; Jeffrey A Johnson
Journal:  Can J Diabetes       Date:  2015-07-03       Impact factor: 4.190

6.  Data Quality Challenges in a Learning Health System.

Authors:  Michail Sarafidis; Marilena Tarousi; Athanasios Anastasiou; Stavros Pitoglou; Efstratios Lampoukas; Athanasios Spetsarias; George Matsopoulos; Dimitrios Koutsouris
Journal:  Stud Health Technol Inform       Date:  2020-06-16

7.  Defining and measuring completeness of electronic health records for secondary use.

Authors:  Nicole G Weiskopf; George Hripcsak; Sushmita Swaminathan; Chunhua Weng
Journal:  J Biomed Inform       Date:  2013-06-29       Impact factor: 6.317

8.  Secondary Use of EHR: Data Quality Issues and Informatics Opportunities.

Authors:  Taxiarchis Botsis; Gunnar Hartvigsen; Fei Chen; Chunhua Weng
Journal:  Summit Transl Bioinform       Date:  2010-03-01

9.  Validation of PhenX measures in the personalized medicine research project for use in gene/environment studies.

Authors:  Catherine A McCarty; Richard Berg; Carla M Rottscheit; Carol J Waudby; Terrie Kitchner; Murray Brilliant; Marylyn D Ritchie
Journal:  BMC Med Genomics       Date:  2014-01-14       Impact factor: 3.063

Review 10.  Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group.

Authors:  Rebecca Woodfield; Ian Grant; Cathie L M Sudlow
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

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  1 in total

Review 1.  Conceptualising fairness: three pillars for medical algorithms and health equity.

Authors:  Laura Sikstrom; Marta M Maslej; Katrina Hui; Zoe Findlay; Daniel Z Buchman; Sean L Hill
Journal:  BMJ Health Care Inform       Date:  2022-01
  1 in total

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