Assessment of the integrity of real-time electronic health record data used in clinical research
This study demonstrates the feasibility of automated benchmarking to assess the integrity of real-time EHR data and identify when such data become analysis ready. Our findings highlight key challenges for secondary use of dynamic clinical data and provide an automated framework that can be applied across health systems to support high-quality research, surveillance, and clinical trial readiness.
Authors
- Andreas Coppi
- Guannan Gong
- Sameer Pandya
- Jessica Liu
- Harlan M. Krumholz
- H. Patrick Young
- Wade L. Schulz
Institutions
- Yale New Haven Hospital (US)
- Yale Cancer Center (US)
- Yale University (US)
- Yale New Haven Health System (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-01-09
- DOI
- https://doi.org/10.1371/journal.pone.0340287
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00