Peer perceptions of clinicians using generative AI in medical decision-making

This study investigates how a physician's use of generative AI (GenAI) in medical decision‑making is perceived by peer clinicians. In a randomized experiment, 276 practicing clinicians evaluated one of three vignettes depicting a physician: (1) using no GenAI (Control), (2) using GenAI as a primary decision-making tool (GenAI-primary), and (3) using GenAI as a verification tool (GenAI-verify). Participants rated the physician depicted in the GenAI‑primary condition significantly lower in clinical skill (on a 1-7 scale; mean = 3.79) than in the Control condition (5.93, p < 0.001). Framing GenAI use as verification partially mitigated this effect (4.99, p < 0.001). Similar patterns appeared for perceived overall healthcare experience and competence. Participants also acknowledged GenAI's value in improving accuracy (4.30, p < 0.002) and rated institutionally customized GenAI more favorably (4.96, p < 0.001). These findings suggest that while clinicians see GenAI as helpful, its use can negatively impact peer evaluations. These effects can be reduced, but not fully eliminated, by framing it as a verification aid.

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Publication Details

Journal
npj Digital Medicine
Published
2025-08-18
DOI
https://doi.org/10.1038/s41746-025-01901-x
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.27

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article

Peer perceptions of clinicians using generative AI in medical decision-making

Amy M. Knight, Risa M. Wolf, Nestoras Mathioudakis, Tinglong Dai et al.
5 citations
npj Digital Medicine
Artificial Intelligence in Healthcare and Education
3.27
article

Peer perceptions of clinicians using generative AI in medical decision-making

Amy M. Knight, Risa M. Wolf, Nestoras Mathioudakis, Tinglong Dai, Haiyang Yang, Yuna Nakayasu
article en
5 citations

Abstract

This study investigates how a physician's use of generative AI (GenAI) in medical decision‑making is perceived by peer clinicians. In a randomized experiment, 276 practicing clinicians evaluated one of three vignettes depicting a physician: (1) using no GenAI (Control), (2) using GenAI as a primary decision-making tool (GenAI-primary), and (3) using GenAI as a verification tool (GenAI-verify). Participants rated the physician depicted in the GenAI‑primary condition significantly lower in clinical skill (on a 1-7 scale; mean = 3.79) than in the Control condition (5.93, p < 0.001). Framing GenAI use as verification partially mitigated this effect (4.99, p < 0.001). Similar patterns appeared for perceived overall healthcare experience and competence. Participants also acknowledged GenAI's value in improving accuracy (4.30, p < 0.002) and rated institutionally customized GenAI more favorably (4.96, p < 0.001). These findings suggest that while clinicians see GenAI as helpful, its use can negatively impact peer evaluations. These effects can be reduced, but not fully eliminated, by framing it as a verification aid.

npj Digital MedicineVol. 8(1)
Johns Hopkins University (US), Johns Hopkins Medicine (US)
Johns Hopkins University
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.27
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