Evidence map›Paper›PMID 35710654›Full record

ArticleJournal of general internal medicine2022

Temporal Associations Between EHR-Derived Workload, Burnout, and Errors: a Prospective Cohort Study.

Sunny S Lou, Daphne Lew, Derek R Harford, Chenyang Lu, Bradley A Evanoff, Jennifer G Duncan, Thomas Kannampallil

2 registry-linked trialsAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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.

NCT06792890 nacompletednot on this mapstarted 2024, after this paper: background citation

A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout

TypeinterventionalSponsorUniversity of California, Los AngelesRan2024 to 2025Enrolled238ConditionsPhysician Workflow, Artificial Intelligence (AI)ArmsUse Nabla AI Scribe tool provided, Use AI Scribe tool provided by Vendor B
NCT07742761 naactive not recruitingnot on this mapstarted 2026, after this paper: background citation

Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes

TypeinterventionalSponsorWashington University School of MedicineRan2026 to 2027Enrolled55ConditionsWell-being at Work, BurnoutArmsAmbient AI Scribe
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  3. Effect of digital tools to promote hospital quality and safety on adverse events after discharge.Journal of the American Medical Informatics Association : JAMIA · 2024
    Trial
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  13. Review
  14. For AI in Primary Care, Start With the Problem.Annals of family medicine · 2025
    Article
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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

7 authors.

Sunny S LouDepartment of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
Daphne LewDivision of Biostatistics, Washington University School of Medicine, St Louis, MO, USA.
Derek R HarfordDepartment of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA.
Chenyang LuDepartment of Computer Science, Washington University in St Louis, St Louis, MO, USA.
Bradley A EvanoffDepartment of Medicine, Washington University School of Medicine, St Louis, MO, USA.
Jennifer G DuncanDepartment of Pediatrics, Washington University School of Medicine, St Louis, MO, USA.
Thomas KannampallilDepartment of Anesthesiology, Washington University School of Medicine, St Louis, MO, USA. thomas.k@wustl.edu.ORCID 0000-0003-4119-4836

Funding

TRAINING PROGRAM IN ANESTHESIOLOGY RESEARCHT32GM108539 · NIGMS · WASHINGTON UNIVERSITY · PI Aaron J Norris · 2014 to 2026
$4.9M
NIGMS NIH HHS T32 GM108539
6 · The paper itself

Abstract

backgroundThe temporal progression and workload-related causal contributors to physician burnout are not well-understood.

objectiveTo characterize burnout's time course and evaluate the effect of time-varying workload on burnout and medical errors.

designSix-month longitudinal cohort study with measurements of burnout, workload, and wrong-patient orders every 4 weeks.

participantsSeventy-five intern physicians in internal medicine, pediatrics, and anesthesiology at a large academic medical center. MAIN MEASURES: Burnout was measured using the Professional Fulfillment Index survey. Workload was collected from electronic health record (EHR) audit logs and summarized as follows: total time spent on the EHR, after-hours EHR time, patient load, inbox time, chart review time, note-writing time, and number of orders. Wrong-patient orders were assessed using retract-and-reorder events. KEY

resultsSeventy-five of 104 interns enrolled (72.1%) in the study. A total of 337 surveys and 8,863,318 EHR-based actions were analyzed. Median burnout score across the cohort across all time points was 1.2 (IQR 0.7-1.7). Individual-level burnout was variable (median monthly change 0.3, IQR 0.1-0.6). In multivariable analysis, increased total EHR time (β=0.121 for an increase from 54.5 h per month (25th percentile) to 123.0 h per month (75th percentile), 95%CI=0.016-0.226), increased patient load (β=0.130 for an increase from 4.9 (25th percentile) to 7.1 (75th percentile) patients per day, 95%CI=0.053-0.207), and increased chart review time (β=0.096 for an increase from 0.39 (25th percentile) to 0.59 (75th percentile) hours per patient per day, 95%CI=0.015-0.177) were associated with an increased burnout score. After adjusting for the total number of ordering sessions, burnout was not statistically associated with an increased rate of wrong-patient orders (rate ratio=1.20, 95%CI=0.76-1.89).

conclusionsBurnout and recovery were associated with recent clinical workload for a cohort of physician trainees, highlighting the elastic nature of burnout. Wellness interventions should focus on strategies to mitigate sustained elevations of work responsibilities.

Indexed as

Burnout, ProfessionalWorkloadChildElectronic Health RecordsHumansLongitudinal StudiesProspective Studiesburnoutelectronic health recordgraduate medical educationphysician wellnessworkload

Identifiers

PMID35710654
PMCPMC9296727

What OpenQuestion holds

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Registered trials

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.