Metrics for assessing physician activity using electronic health record log data.
EHR log data
metric
operational efficiency
time studies, burnout
Journal
Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
Titre abrégé: J Am Med Inform Assoc
Pays: England
ID NLM: 9430800
Informations de publication
Date de publication:
01 04 2020
01 04 2020
Historique:
received:
04
11
2019
revised:
10
12
2019
accepted:
17
12
2019
pubmed:
7
2
2020
medline:
13
3
2021
entrez:
7
2
2020
Statut:
ppublish
Résumé
Electronic health record (EHR) log data have shown promise in measuring physician time spent on clinical activities, contributing to deeper understanding and further optimization of the clinical environment. In this article, we propose 7 core measures of EHR use that reflect multiple dimensions of practice efficiency: total EHR time, work outside of work, time on documentation, time on prescriptions, inbox time, teamwork for orders, and an aspirational measure for the amount of undivided attention patients receive from their physicians during an encounter, undivided attention. We also illustrate sample use cases for these measures for multiple stakeholders. Finally, standardization of EHR log data measure specifications, as outlined here, will foster cross-study synthesis and comparative research.
Identifiants
pubmed: 32027360
pii: 5728718
doi: 10.1093/jamia/ocz223
pmc: PMC7075531
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
639-643Subventions
Organisme : NLM NIH HHS
ID : R01 LM012854
Pays : United States
Organisme : NLM NIH HHS
ID : T15 LM007088
Pays : United States
Organisme : NLM NIH HHS
ID : T15 LM011271
Pays : United States
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.
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