Cited by 567Electronic Health Records SystemsMedical Coding and Health InformationMachine Learning in Healthcare

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Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

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Hersh, William R., Weiner, Mark G., Embi, Peter J., Logan, Judith R., Payne, Philip R.O., Bernstam, Elmer V., Lehmann, Harold P., Hripcsak, George, Hartzog, Timothy H., Cimino, James J., Saltz, Joel H.·2013·Medical Care

DOI 10.1097/mlr.0b013e31829b1dbdPMC PMC3748381

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Abstract

The growing amount of data in operational electronic health record systems provides unprecedented opportunity for its reuse for many tasks, including comparative effectiveness research. However, there are many caveats to the use of such data. Electronic health record data from clinical settings may be inaccurate, incomplete, transformed in ways that undermine their meaning, unrecoverable for research, of unknown provenance, of insufficient granularity, and incompatible with research protocols. However, the quantity and real-world nature of these data provide impetus for their use, and we develop a list of caveats to inform would-be users of such data as well as provide an informatics roadmap that aims to insure this opportunity to augment comparative effectiveness research can be best leveraged.

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Authors: Hersh, W. R., Weiner, M. G., Embi, P. J., Logan, J. R., Payne, P. R. O., Bernstam, E. V., Lehmann, H. P., Hripcsak, G., Hartzog, T. H., Cimino, J. J., & Saltz, J. H.
Affiliations: Oregon Health & Science University (US)
AstraZeneca (United Kingdom) (GB)
The Ohio State University Wexner Medical Center (US)
The University of Texas Health Science Center at Houston (US)
Johns Hopkins University (US)
Columbia University (US)
Medical University of South Carolina (US)
National Institutes of Health (US)
Emory University (US)
Corresponding author: Hersh, William R.
Logan, Judith R.
Cimino, James J.
ORCID: Hersh, William R.
Weiner, Mark G.
Logan, Judith R.
Payne, Philip R.O.
Bernstam, Elmer V.
Lehmann, Harold P.
Hripcsak, George
Cimino, James J.
Saltz, Joel H.
Venue: Medical Care
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2013-08
Volume: 51
Issue: Supplement 8Suppl 3
Pages: S30-S37
ISSN: 0025-7079 (ISSN-L)
DOI: 10.1097/mlr.0b013e31829b1dbd
PMC: PMC3748381
OpenAlex: W2137767404
Cited by: 567
References: 68
Citations by year: 2026: 43 · 2025: 44 · 2024: 30 · 2023: 43 · 2022: 43 · 2021: 58 · 2020: 50 · 2019: 59 · 2018: 50 · 2017: 45 · 2016: 45 · 2015: 27 · 2014: 24 · 2013: 6
FWCI: 58.67
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Medical Care (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (UL1TR000454, UL1TR000090)
Centers for Disease Control and Prevention
National Center for Research Resources (UL1RR025008, UL1RR024156, UL1RR025005, UL1RR024148, UL1RR024140)
National Center for Advancing Translational Sciences
H2020 European Research Council
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Keywords: electronic health records, comparative effectiveness research, data quality, data completeness, data provenance, data granularity, data reuse
MeSH terms: Data Collection, Data Interpretation, Statistical, Humans, Insurance Claim Review, Research Design, Comparative Effectiveness Research, Electronic Health Records

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Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research

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