Evidence map›Paper›PMID 39657021›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Shreya J Shah, Anna Devon-Sand, Stephen P Ma, Yejin Jeong, Trevor Crowell, Margaret Smith, April S Liang, Clarissa Delahaie, Caroline Hsia, Tait Shanafelt and 4 more

Registry-linked trialAbstract 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. It is linked to trial NCT07742761 (Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes), which is not on this map. Cited by 123 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 6 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.

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

123 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Current Trends in AI and Eye Disease Diagnostics.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Effect of use of ambient listening technology on patient-reported communication and satisfaction ratings.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  17. Review
  18. Article
  19. Review
  20. Review

63 more citing papers are in PubMed but not listed here.

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

14 authors.

Shreya J ShahDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
Anna Devon-SandStanford Healthcare AI Applied Research Team, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA 94305, United States.
Stephen P MaDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.ORCID 0000-0003-3738-9569
Yejin JeongStanford Healthcare AI Applied Research Team, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA 94305, United States.
Trevor CrowellStanford Healthcare AI Applied Research Team, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA 94305, United States.
Margaret SmithStanford Healthcare AI Applied Research Team, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA 94305, United States.
April S LiangDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
Clarissa DelahaieTechnology and Digital Solutions, Stanford Medicine, Stanford, CA 94305, United States.
Caroline HsiaTechnology and Digital Solutions, Stanford Medicine, Stanford, CA 94305, United States.
Tait ShanafeltDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
Michael A PfefferDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
Christopher SharpDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
Steven LinDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.
Patricia GarciaDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout. MATERIALS AND

methodsThis prospective quality improvement study was conducted at Stanford Health Care with 48 physicians over a 3-month period. Outcome measures included burden, burnout, usability, and perceived time savings.

resultsPaired survey analysis (n = 38) revealed large statistically significant reductions in task load (-24.42, p <.001) and burnout (-1.94, p <.001), and moderate statistically significant improvements in usability scores (+10.9, p <.001). Post-survey responses (n = 46) indicated favorable utility with improved perceptions of efficiency, documentation quality, and ease of use. DISCUSSION: In one of the first pilot implementations of ambient AI scribe technology, improvements in physician task load, burnout, and usability were demonstrated.

conclusionAmbient AI scribes like DAX Copilot may enhance clinical workflows. Further research is needed to optimize widespread implementation and evaluate long-term impacts.

Indexed as

Artificial IntelligenceBurnout, ProfessionalDocumentationElectronic Health RecordsPhysiciansAttitude of Health PersonnelFemaleHumansMalePilot ProjectsProspective StudiesQuality ImprovementSurveys and QuestionnairesUser-Computer InterfaceWorkflowWorkloadambient intelligenceambient scribesartificial intelligencedocumentationinformatics

Identifiers

PMID39657021
PMCPMC11756571

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.