Supporting electronic health record data usage in research for teams with varying data science and clinical knowledge: a food service analogy approach

Our framework can be applied by RDS teams in their design and implementation of data services.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-11-10
DOI
https://doi.org/10.1093/jamia/ocaf188
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
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article

Supporting electronic health record data usage in research for teams with varying data science and clinical knowledge: a food service analogy approach

Christopher A. Harle, Khoa A. Nguyen, Tanja Magoč, Leigh Anne Tang
Journal of the American Medical Informatics Association
Electronic Health Records Systems
article

Supporting electronic health record data usage in research for teams with varying data science and clinical knowledge: a food service analogy approach

Christopher A. Harle, Khoa A. Nguyen, Tanja Magoč, Leigh Anne Tang
article en

Abstract

Our framework can be applied by RDS teams in their design and implementation of data services.

Journal of the American Medical Informatics AssociationVol. 33(2)
Regenstrief Institute (US), American Association of Colleges of Pharmacy (US), University of Florida (US), Richard M. Fairbanks Foundation (US), Indiana University – Purdue University Indianapolis (US), National Patient Safety Foundation (US), Florida College (US)
Openalex Percentile: Top 61%
Electronic Health Records Systems
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Supporting electronic health record data usage in research for teams with varying data science and clinical knowledge: a food service analogy approach — Christopher A. Harle, Khoa A. Nguyen, et al. · Journal of the American Medical Informatics Association (2025) | TGRS Research Map | TGRS