Evidence map›Paper›PMID 39413440›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

The number of patient scheduled hours resulting in a 40-hour work week by physician specialty and setting: a cross-sectional study using electronic health record event log data.

Christine A Sinsky, Lisa Rotenstein, A Jay Holmgren, Nate C Apathy

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

4 authors.

Christine A SinskyProfessional Satisfaction, American Medical Association, Chicago, IL 60611-5885, United States.
Lisa RotensteinDepartment of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, CA 94143, United States.
A Jay HolmgrenDepartment of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, San Francisco, CA 94143, United States.ORCID 0000-0002-7939-6831
Nate C ApathyDepartment of Health Policy and Management, University of Maryland School of Public Health, College Park, MD 20742, United States.ORCID 0000-0002-7775-8544

Funding

AI Advisory Board for Augmedix, Inc.American Medical AssociationAmerican Medical Association, Healthcare Leadership CouncilOffice of the National Coordinator for Health ITPhysicians Foundation and FeelBetter Inc
6 · The paper itself

Abstract

objectiveTo quantify how many patient scheduled hours would result in a 40-h work week (PSH40) for ambulatory physicians and to determine how PSH40 varies by specialty and practice type.

methodsWe calculated PSH40 for 186 188 ambulatory physicians across 395 organizations from November 2021 through April 2022 stratified by specialty.

resultsMedian PSH40 for the sample was 33.2 h (IQR: 28.7-36.5). PSH40 was lowest in infectious disease (26.2, IQR: 21.6-31.1), geriatrics (27.2, IQR: 21.5-32.0) and hematology (28.6, IQR: 23.6-32.6) and highest in plastic surgery (35.7, IQR: 32.8-37.7), pain medicine (35.8, IQR: 32.6-37.9) and sports medicine (36.0, IQR: 33.3-38.1). DISCUSSION: Health system leaders and physicians will benefit from data driven and transparent discussions about work hour expectations. The PSH40 measure can also be used to quantify the impact of variations in the clinical care environment on the in-person ambulatory patient care time available to physicians.

conclusionsPSH40 is a novel measure that can be generated from vendor-derived metrics and used by operational leaders to inform work expectations. It can also support research into the impact of changes in the care environment on physicians' workload and capacity.

Indexed as

Electronic Health RecordsWorkloadAmbulatory CareAppointments and SchedulesCross-Sectional StudiesHumansMedicinePersonnel Staffing and SchedulingPhysiciansSpecializationUnited Stateselectronic health recordsphysician workloadwork outside of work

Identifiers

PMID39413440
PMCPMC11648726

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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.