临床医生使用非机构人工智能工具的评估

中文摘要 AI 辅助

生成式人工智能（AI）工具日益普及，并有可能提高临床工作流程的效率。然而，临床医生也可能使用非机构提供的AI工具，这些工具并非由其医疗保健机构提供、管理或治理，从而引发与隐私、安全、准确性以及临床医生与AI交互相关的潜在担忧。目前，关于临床医生如何在工作中使用这些工具的情况知之甚少。我们在2026年5月20日至6月26日期间，对从亚利桑那大学图森医学院和班纳大学医学中心图森分校招募的临床医生进行了一项描述性调查。参与者报告了他们对AI工具类别的使用情况，以及在五个工作量类别（行政工作、临床工作、研究、学习/继续教育和教学）中针对特定任务使用AI的频率。共有44名受访者完成了调查。其中43名受访者报告在过去6个月内至少使用过一次AI完成与工作相关的任务。对话式AI和临床决策支持/诊断AI是使用最多的工具类别，各有28名受访者报告使用。行政和临床任务显示出最频繁的使用。AI也被用于高风险活动，包括诊断辅助和临床决策支持。非机构AI的使用在受访临床医生中很普遍，并扩展到广泛的工作相关活动，包括对临床推理和患者护理有潜在影响的任务。需要进一步研究来描述临床医生如何使用这些工具、他们如何评估AI生成的输出，以及如何将AI安全有效地整合到临床工作流程中。

英文摘要

Generative artificial intelligence (AI) tools are increasingly accessible and have the potential to improve efficiency across clinical workflows. However, clinicians may also use non-institutional AI tools that are not provided, managed, or governed by their healthcare institutions, creating potential concerns related to privacy, security, accuracy, and clinician-AI interaction. Little is known about how clinicians currently use these tools for work-related tasks. We conducted a descriptive survey of clinicians recruited from the University of Arizona College of Medicine-Tucson and Banner University Medical Center-Tucson between May 20 and June 26, 2026. Participants reported their use of AI tool categories and the frequency with which they used AI for specific tasks across five workload categories: administrative work, clinical work, research, studying/continued education, and teaching. Forty-four respondents completed the survey. Forty-three respondents reported using AI for at least one work-related task during the preceding 6 months. Conversational AI and clinical decision support/diagnostic AI were the most used tool categories, each reported by 28 respondents. Administrative and clinical tasks demonstrated the most frequent use. AI was also used for higher-risk activities, including diagnostic assistance and clinical decision support. Non-institutional AI use was common among surveyed clinicians and extended across a broad range of work-related activities, including tasks with potential implications for clinical reasoning and patient care. Further research is needed to characterize how clinicians use these tools, how they evaluate AI-generated outputs, and how AI can be safely and effectively integrated into clinical workflows.

发表机构

• University of Arizona College of Medicine – Tucson（亚利桑那大学图森医学院）
• Banner University Medical Center – Tucson（班纳大学图森医学中心）

机构由 AI 辅助整理，请以论文原文为准。