TY - JOUR
T1 - Using electronic health record audit log data for research
T2 - Insights from early efforts
AU - Kannampallil, Thomas
AU - Adler-Milstein, Julia
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Electronic health record audit logs capture a time-sequenced record of clinician activities while using the system. Audit log data therefore facilitate unobtrusive measurement at scale of clinical work activities and workflow as well as derivative, behavioral proxies (eg, teamwork). Given its considerable research potential, studies leveraging these data have burgeoned. As the field has matured, the challenges of using the data to answer significant research questions have come into focus. In this Perspective, we draw on our research experiences and insights from the broader audit log literature to advance audit log research. Specifically, we make 2 complementary recommendations that would facilitate substantial progress toward audit log-based measures that are: (1) transparent and validated, (2) standardized to allow for multisite studies, (3) sensitive to meaningful variability, (4) broader in scope to capture key aspects of clinical work including teamwork and coordination, and (5) linked to patient and clinical outcomes.
AB - Electronic health record audit logs capture a time-sequenced record of clinician activities while using the system. Audit log data therefore facilitate unobtrusive measurement at scale of clinical work activities and workflow as well as derivative, behavioral proxies (eg, teamwork). Given its considerable research potential, studies leveraging these data have burgeoned. As the field has matured, the challenges of using the data to answer significant research questions have come into focus. In this Perspective, we draw on our research experiences and insights from the broader audit log literature to advance audit log research. Specifically, we make 2 complementary recommendations that would facilitate substantial progress toward audit log-based measures that are: (1) transparent and validated, (2) standardized to allow for multisite studies, (3) sensitive to meaningful variability, (4) broader in scope to capture key aspects of clinical work including teamwork and coordination, and (5) linked to patient and clinical outcomes.
KW - EHR use metrics
KW - audit logs
KW - standardization
UR - http://www.scopus.com/inward/record.url?scp=85144584353&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocac173
DO - 10.1093/jamia/ocac173
M3 - Review article
C2 - 36173351
AN - SCOPUS:85144584353
SN - 1067-5027
VL - 30
SP - 167
EP - 171
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 1
ER -