Physicians' attitudes toward artificial intelligence and ChatGPT: a cross-sectional study.

IF 2.4 4区医学 Q3 HEALTH POLICY & SERVICES

Journal of Health Organization and Management Pub Date : 2026-04-14 DOI:10.1108/JHOM-12-2025-0889

Nurperihan Tosun, Mustafa Tosun, Abdulkadir Güner

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引用次数: 0

Abstract

Purpose: The increasing use of artificial intelligence (AI) and large language models such as ChatGPT in healthcare has highlighted the need to understand physicians' perceptions and readiness for clinical adoption.

Design/methodology/approach: This cross-sectional study included 328 physicians. Data were collected through face-to-face surveys incorporating sociodemographic items, AI/ChatGPT knowledge and interaction questions, and two validated instruments (MAIRS and TAME-ChatGPT). Descriptive statistics, correlations, and simple linear regression were used to identify predictors of ChatGPT acceptance.

Findings: Physicians demonstrated moderate awareness of AI, while nearly half lacked knowledge about ChatGPT. Among AI readiness dimensions, MAIRS-Ability was the strongest positive predictor of ChatGPT acceptance (β = 0.315, p < 0.001). Vision (β = 0.180, p = 0.001) and Ethics (β = 0.143, p = 0.010) also showed significant positive effects, whereas Cognition was not significant. Among sociodemographic variables, duration of medical practice (β = -0.295, p < 0.001) and marital status (β = -0.117, p = 0.035) negatively predicted ChatGPT acceptance. Knowledge about AI use in healthcare demonstrated the strongest positive association overall (β = 0.396, p < 0.001).

Originality/value: Physicians exhibit cautious but growing interest in ChatGPT. AI competence, ethical sensitivity, and demographic factors significantly shape acceptance. Structured AI training and clear ethical guidelines are essential to support safe and effective integration of generative AI tools into clinical practice.

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医生对人工智能和ChatGPT的态度：一项横断面研究。

目的：人工智能（AI）和大型语言模型（如ChatGPT）在医疗保健领域的应用越来越多，这凸显了了解医生对临床应用的看法和准备情况的必要性。设计/方法/方法：本横断面研究包括328名医生。数据通过面对面的调查收集，包括社会人口统计项目、AI/ChatGPT知识和互动问题，以及两种经过验证的工具（MAIRS和TAME-ChatGPT）。使用描述性统计、相关性和简单线性回归来确定ChatGPT接受度的预测因子。研究结果：医生对人工智能的意识一般，而近一半的医生缺乏对ChatGPT的了解。在人工智能准备度维度中，MAIRS-Ability是ChatGPT接受度的最强正向预测因子(β = 0.315， p独创性/价值：医生对ChatGPT表现出谨慎但日益增长的兴趣。人工智能的能力、道德敏感性和人口因素显著地影响了人们的接受程度。结构化的人工智能培训和明确的道德准则对于支持将生成式人工智能工具安全有效地整合到临床实践中至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Health Organization and Management HEALTH POLICY & SERVICES-

CiteScore

3.20

自引率

7.10%

发文量

期刊介绍： ■International health and international organizations ■Organisational behaviour, governance, management and leadership ■The inter-relationship of health and public sector services ■Theories and practices of management and leadership in health and related organizations ■Emotion in health care organizations ■Management education and training ■Industrial relations and human resource theory and management. As the demands on the health care industry both polarize and intensify, effective management of financial and human resources, the restructuring of organizations and the handling of market forces are increasingly important areas for the industry to address.