Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use.


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:
29 01 2022
Historique:
received: 11 10 2021
revised: 08 11 2021
accepted: 17 11 2021
pubmed: 11 12 2021
medline: 3 2 2022
entrez: 10 12 2021
Statut: ppublish

Résumé

The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic. We use EHR meta-data from ambulatory care clinicians in 366 health systems using the Epic EHR system in the United States from December 2019 to December 2020. We used descriptive statistics for clinician EHR use including active-use time across clinical activities, time after-hours, and messages received. Multivariable regression to evaluate total and after-hours EHR work adjusting for daily volume and organizational characteristics, and to evaluate the association between messages and EHR time. Clinician time spent in the EHR per day dropped at the onset of the pandemic but had recovered to higher than prepandemic levels by July 2020. Time spent actively working in the EHR after-hours showed similar trends. These differences persisted in multivariable models. In-Basket messages received increased compared with prepandemic levels, with the largest increase coming from messages from patients, which increased to 157% of the prepandemic average. Each additional patient message was associated with a 2.32-min increase in EHR time per day (P < .001). Clinicians spent more total and after-hours time in the EHR in the latter half of 2020 compared with the prepandemic period. This was partially driven by increased time in Clinical Review and In-Basket messaging. Reimbursement models and workflows for the post-COVID era should account for these demands on clinician time that occur outside the traditional visit.

Identifiants

pubmed: 34888680
pii: 6458072
doi: 10.1093/jamia/ocab268
pmc: PMC8689796
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

453-460

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

A Jay Holmgren (AJ)

Center for Clinical Informatics and Improvement Research, University of California San Francisco, San Francisco, California, USA.

N Lance Downing (NL)

Department of Medicine, Stanford University, Palo Alto, California, USA.

Mitchell Tang (M)

Harvard University, Cambridge, Massachusetts, USA.
Harvard Business School, Boston, Massachusetts, USA.

Christopher Sharp (C)

Department of Medicine, Stanford University, Palo Alto, California, USA.

Christopher Longhurst (C)

Department of Medicine, UC San Diego Health, La Jolla, California, USA.

Robert S Huckman (RS)

Harvard Business School, Boston, Massachusetts, USA.

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Classifications MeSH