Online survey assessing US primary care physicians’ attitudes toward AI use in clinical administrative tasks

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Authors: Bohye Kim, Katie Ryan, Max Kasun, Laura Weiss Roberts, Jane Paik Kim
Cited by: 1
References: 29

Abstract

OBJECTIVES: To examine primary care physicians' attitudes regarding artificial intelligence (AI) use for administrative clinical tasks. METHODS: Web-based survey with US physicians in family medicine or internal medicine (N=420, response rate 5.13%). Two hypothetical AI tools for administrative clinical activities were described. We examined physicians' attitudes towards AI tools, and their associations with practice years, exposure to AI, use case and stakeholder type were evaluated using generalised estimating equations. RESULTS: Participants were on average 49.6 years (SD=12.5) and 56.7% men (238/420). Physicians with fewer practice years were more likely to endorse the tools' benefits (OR 1.70-1.96), the tools' benefits outweighing risks (OR 1.79-2.06) and their openness to use (OR 1.63-1.83), and were less likely to endorse disclosure of AI use (OR 0.60 (95% CI 0.36 to 0.998)). Physicians with AI exposure were more likely to agree the tools' benefits outweighed their risks (OR 1.51 (95% CI 1.06 to 2.16)). Physicians were more likely to endorse the tools' benefit to physicians (OR 4.94 (95% CI 4.16 to 5.86)) and physicians' openness to using them (OR 3.53 (95% CI 2.97 to 4.20)) than they were to endorse their benefit to patients and patients' openness. Physicians rated an AI tool for notes generation as more beneficial than one for billing assistance (OR 1.73 (95% CI 1.39 to 2.16)). DISCUSSION: Although the findings are preliminary, US primary care physicians' attitudes toward AI for clinical administration varied by practice years, prior exposure to AI, use case and stakeholder type. CONCLUSION: Our findings highlight opportunities to develop training and implementation strategies in service of advancing safe and effective integration of administrative AI tools in primary care.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Electronic Health Records Systems Ethics and Social Impacts of AI

Publication details

Journal / source
BMJ Health & Care Informatics
Publisher
BMJ
Volume
33
Issue
1
Pages
e101400–e101400
Publication date
1 January 2026
Language
EN