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

Author:

Holmgren A Jay1,Downing N Lance2,Tang Mitchell34ORCID,Sharp Christopher2,Longhurst Christopher5,Huckman Robert S4

Affiliation:

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

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

3. Harvard University, Cambridge, Massachusetts, USA

4. Harvard Business School, Boston, Massachusetts, USA

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

Abstract

Abstract Objective 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. Materials and Methods 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. Results 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). Discussion 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. Conclusions Reimbursement models and workflows for the post-COVID era should account for these demands on clinician time that occur outside the traditional visit.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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