Ontology highlight
ABSTRACT: Importance
Time spent interacting with electronic health records (EHRs) is strongly associated with clinician burnout. Artificial intelligence (AI) scribes may offer a promising solution to EHR-related burnout. However, previous studies on their effectiveness are limited by selection bias.Objective
To evaluate the association of an AI scribe with EHR efficiency using a pre-post analysis among AI scribe users and a comparison of AI scribe users with a covariate-balanced control group of nonusers.Design, setting, and participants
This retrospective cohort study included ambulatory clinicians at an academic health system during a 3-month pilot period (July 1 to September 30, 2024).Exposure
Use of an AI scribe.Main outcomes and measures
Primary outcomes
SUBMITTER: Pearlman K
PROVIDER: S-EPMC12514625 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature