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

15Citations
Citations of this article
51Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Yang, H., Dai, T., Mathioudakis, N., Knight, A. M., Nakayasu, Y., & Wolf, R. M. (2025). Peer perceptions of clinicians using generative AI in medical decision-making. Npj Digital Medicine, 8(1). https://doi.org/10.1038/s41746-025-01901-x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free