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Published, Version of Record (VoR) Open Access via Drexel Libraries Read and Publish Program 2025 Open CC BY V4.0
Journal article
Are Aggregated Electronic Health Record Datasets Good for Research?
Journal of general internal medicine : JGIM, v 40, pp 3743-3749
12 Aug 2025
PMID: 40794368
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
There has been a proliferation of large-scale electronic health record (EHR) data platforms that pool across multiple healthcare organizations, such as the National Institutes of Health’s All of Us in the federal space and TriNetX and Epic Cosmos in the commercial space. There are unique issues that occur when EHR data are aggregated across disparate healthcare systems beyond the general—and more well known—concerns about secondary analysis of EHR data from a single entity. In this article, we define aggregated EHR data, contrasting it to other real-world data sources, highlight benefits and challenges when working with aggregated EHR data, offer several “good practices” to address these challenges, and conclude by discussing whether it is appropriate to pool these data together or not.
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Details
- Title
- Are Aggregated Electronic Health Record Datasets Good for Research?
- Creators
- Neal Goldstein (Corresponding Author) - Drexel University, Epidemiology and BiostatisticsBrianne L Olivieri-Mui - Northeastern UniversityIgor Burstyn - Drexel University, Environmental and Occupational Health
- Publication Details
- Journal of general internal medicine : JGIM, v 40, pp 3743-3749
- Publisher
- Springer Nature
- Number of pages
- 7
- Grant note
This work was supported in part by award #K01AG077972 from the National Institute of Aging (to BOM)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology; Epidemiology and Biostatistics; Environmental and Occupational Health
- Web of Science ID
- WOS:001547782500001
- Scopus ID
- 2-s2.0-105013393306
- Other Identifier
- 991022073428404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Health Care Sciences & Services