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

Shah, Shreya; Devon-Sand, Anna; Stephen, P.; Jeong, Yejin; Crowell, Trevor; Smith, Margaret; Liang, April S.; Delahaie, Clarissa; Hsia, Caroline; Shanafelt, Tait D.; Pfeffer, Michael A.; Sharp, Christopher; Lin, Steven; García, Patricia

doi:10.1093/jamia/ocae295

articleJournal of the American Medical Informatics AssociationDec 5, 2024GREEN OA

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

SSShreya Shah ADAnna Devon-Sand PSP. Stephen YJYejin Jeong TCTrevor Crowell

Stanford Health Care · Stanford University · +1 more institution

PubMed

Indexed incrossrefpubmed

Abstract

Objective

This 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 Methods

This 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.

Results

Paired survey analysis (n = 38) revealed large statistically significant reductions in task load (-24.42, p

Citation impact

152

total citations

FWCI: 16.18
Percentile: 100%
References: 27

Citations per year

Authors

14

Topics & keywords

Topics

Keywords

Usability
Burnout
Documentation
Ambient intelligence
Medicine
Psychology
Medical emergency
Computer science

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