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  5. What should clinicians know about how coding influences epidemiological research?
 
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What should clinicians know about how coding influences epidemiological research?
File(s)
2501-msoc1-peer Quint FINAL.pdf (211.51 KB)
Accepted version
Author(s)
Quint, Jennifer
Brownrigg, Alex
Type
Journal Article
Abstract
Coded health care data from patients’ health records are used in epidemiological research, especially on incidence or prevalence of disease; for drug safety monitoring or long-term cohort tracking; and to inform policy making. This article briefly summarizes the evolution of internationally recognized coding ontologies and nomenclature and describes applications of coded electronic health record (EHR) data in day-to-day health care operations, research, auditing, and policy development. This article also illuminates how errors can occur when EHR information is coded, considers errors’ consequences, and suggests strategies for mitigating errors and improving overall use of coded EHR data.
Date Issued
2025-01-01
Date Acceptance
2025-01-01
Citation
AMA Journal of Ethics, 2025, 27 (1), pp.E51-57
URI
https://hdl.handle.net/10044/1/118729
URL
https://doi.org/10.1001/amajethics.2025.51
DOI
https://www.dx.doi.org/10.1001/amajethics.2025.51
ISSN
2376-6980
Publisher
American Medical Association
Start Page
E51
End Page
57
Journal / Book Title
AMA Journal of Ethics
Volume
27
Issue
1
Copyright Statement
Copyright 2025 American Medical Association. All rights reserved. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/39745914
amajethics.2025.51
Subjects
Humans
Electronic Health Records
Clinical Coding
Epidemiologic Studies
Humans
Epidemiologic Studies
Electronic Health Records
Clinical Coding
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2025-01-01
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