Evidence map›Paper›PMID 42128378›Full record

ArticleApplied clinical informatics2026

Variation in Measures of Electronic Health Record Use Outside Scheduled Hours: A Cross-Sectional Study of Academic Primary Care Physicians.

Adam Rule, Jeffrey J Baltus, Mark A Micek, Christine A Sinsky, Brian G Arndt

Abstract read
In one paragraph

Article in Applied clinical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Adam RuleInformation School, University of Wisconsin-Madison, Madison, Wisconsin, United States.ORCID 0000-0003-2441-3320
Jeffrey J BaltusSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States.
Mark A MicekDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States.
Christine A SinskyMerrimac, Wisconsin, United States.
Brian G ArndtDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, Wisconsin, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The amount of time ambulatory physicians spend in an electronic health record (EHR) outside scheduled hours has grown in recent years and been linked to burnout. Measures provided by EHR vendors can help health systems track EHR use outside scheduled hours, but different measures track different periods of EHR use and none currently tracks all EHR use outside patient scheduled hours. How much vendor-derived measures differ from one another or from total EHR use outside patient scheduled hours is unclear. Objective: The objective of this study is to compare measures of EHR use outside scheduled hours. Methods: We collected data on 195 academic primary care physicians' EHR use and clinic schedules between February and July 2025. We measured each physician's EHR use outside patient scheduled hours (i.e., Results: Study physicians averaged 6.0 hours of total EHR use and 2.9 hours of EHR use outside patient scheduled hours (i.e., Conclusion: Almost half of study physicians' EHR use occurred outside patient scheduled hours. Common vendor-derived measures captured varying amounts of EHR use outside scheduled hours and all were less than total EHR use outside patient scheduled hours. This variation could affect calculations used to inform EHR training, program evaluation, or expectations for patient scheduled hours. Health systems should thus exercise caution when using vendor-derived measures to estimate total EHR use outside patient scheduled hours and continue to work with EHR vendors to develop scalable measures of EHR use that support diverse operational applications.

Indexed as

Electronic Health RecordsPhysicians, Primary CareCross-Sectional StudiesDigital HealthHumansTime Factors

Identifiers

PMID42128378
PMCPMC13287947

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.