Abstract
Introduction: Research on how people interact with electronic health records (EHRs) increasingly involves the analysis of metadata on EHR use. These metadata can be recorded unobtrusively and capture EHR use at a scale unattainable through direct observation or self-reports. However, there is substantial variation in how metadata on EHR use are recorded, analyzed and described, limiting understanding, replication, and synthesis across studies. Recommendations: In this perspective, we provide guidance to those working with EHR use metadata by describing 4 common types, how they are recorded, and how they can be aggregated into higher-level measures of EHR use. We also describe guidelines for reporting analyses of EHR use metadata-or measures of EHR use derived from them-to foster clarity, standardization, and reproducibility in this emerging and critical area of research.
| Original language | English |
|---|---|
| Pages (from-to) | 784-789 |
| Number of pages | 6 |
| Journal | Journal of the American Medical Informatics Association |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 1 2024 |
Keywords
- audit log
- electronic health record
- event log
- measurement
- metadata
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