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

Bibliographic Data

ID9104645
AuthorsWilliam R Hersh, William Hersh (0000-0002-4114-5148, Oregon Health & Science University, corresponding author), Mark G Weiner (0000-0001-5586-9940, AstraZeneca (Brazil)), Peter J Embi (0000-0002-7733-0847, The Ohio State University Wexner Medical Center), Judith R Logan, Judith Logan (0000-0002-8112-7999, Oregon Health & Science University, corresponding author), Philip Payne (0000-0002-9532-2998, The Ohio State University Wexner Medical Center), Philip R O Payne, Elmer V Bernstam (0000-0001-7643-791X, The University of Texas Health Science Center at Houston), Harold P Lehmann (0000-0002-7698-219X, Johns Hopkins University), George Hripcsak (0000-0003-2664-7614, Columbia University), Timothy H Hartzog (Medical University of South Carolina), James J Cimino (0000-0003-4101-1622, Oregon Health & Science University, corresponding author), Joel H Saltz, Joel Saltz (0000-0002-3451-2165, AstraZeneca (United States))
Year2013
Volume51
IssueSupplement 8Suppl 3
PagesS30-S37
Publication date2013-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e31829b1dbd
PMID23774517
PMCIDPMC3748381
OpenAlexW2137767404
LanguageEN
Citations received9
References cited23

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

Alternative medicine · Comparative effectiveness research · Data science · Electronic health record · Health care · Health records · Informatics · Management science · Public health · Reuse · Risk analysis (engineering) · Biomedical Text Mining and Ontologies · Computer Science · Data Quality and Management · Electronic Health Records Systems · Health Informatics · Medicine

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Unique citing works9
Citations per year1,13
Citation span2018 - 2024 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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