临床实践中大语言模型的使用,知识和感知:在瑞士的临床医生中进行一项横截面混合方法调查
Simon Bruno Egli1, Armon Arpagaus2,3, Simon Adrian Amacher3,4
1Division of Internal Medicine, University Hospital Basel, Basel, Switzerland simon.egli@usb.ch.
BMJ health & care informatics
|September 22, 2025
概括
瑞士的临床医生越来越多地使用大型语言模型 (LLM),特别是年轻,男性和研究活跃的专业人士. 然而,缺乏工作场所指导方针引发了人们对LLM在医疗保健中的安全和有效实施的担忧.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床实践 临床实践
背景情况:
- 大型语言模型 (LLM) 在临床环境中提供了机会和风险,包括准确性,安全性和数据安全性.
- 了解临床医生采用和认知对于负责任的整合至关重要.
研究的目的:
- 评估瑞士临床医生对LLM的使用,知识和看法.
- 确定与LLM采用和知识相关的因素.
主要方法:
- 通过34个医学协会,向瑞士临床医生分发了一项匿名在线调查.
- 评估了频繁的LLM使用 (每周一次),通过11项测试的知识,以及对LLM机会和风险的定性感知.
主要成果:
- 在685名受访者中,32.8%的人经常使用LLM;只有3.6%的人使用特定的医学LLM.
- 年龄较小,男性性别和研究活动与频繁使用和更高的知识相关.
- 关键的机会包括行政/分析支持;风险涉及技能下降,质量差和道德问题.
结论:
- 在瑞士的临床医生中,LLM的采用值得注意,特别是特定的人口统计学.
- 有限的工作场所准则需要教育资源和明确的政策,以确保安全和明智的LLM使用.
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