TY - JOUR
T1 - Guidance for reporting analyses of metadata on electronic health record use
AU - Rule, Adam
AU - Kannampallil, Thomas
AU - Hribar, Michelle R.
AU - Dziorny, Adam C.
AU - Thombley, Robert
AU - Apathy, Nate C.
AU - Adler-Milstein, Julia
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2024/3/1
Y1 - 2024/3/1
N2 - 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.
AB - 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.
KW - audit log
KW - electronic health record
KW - event log
KW - measurement
KW - metadata
UR - http://www.scopus.com/inward/record.url?scp=85185347128&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocad254
DO - 10.1093/jamia/ocad254
M3 - Article
C2 - 38123497
AN - SCOPUS:85185347128
SN - 1067-5027
VL - 31
SP - 784
EP - 789
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 3
ER -