医生对医疗保健中的大型语言模型的看法:一个跨部门调查研究
Hyo Jung Hong1, Nigam H Shah2,3,4, Michael A Pfeffer3,4
1Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, California, United States.
Applied clinical informatics
|October 30, 2025
概括
医生广泛使用大型语言模型 (LLM),但存在一些担忧. 机构LLM访问可能会减少责任担忧,强调需要对临床应用和风险管理进行培训.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医生实践模式的模式
背景情况:
- 大型语言模型 (LLM) 越来越多地融入医疗保健.
- 医生对LLM的采用和认知对于有效实施至关重要.
- 了解当前的做法和关注点对于制定支持性政策至关重要.
研究的目的:
- 评估医生对医疗保健中的大语言模型 (LLM) 的现有实践和观点.
- 为了比较医生对学术医疗中心的LLM的态度,有和没有机构访问.
- 确定关于在临床环境中使用LLM的医生教育的关键领域.
主要方法:
- 在两个学术医疗中心的306名医生 (教师和实习生) 中进行了横截面调查.
- 一个中心有机构LLM访问,而另一个没有.
- 收集的数据包括LLM的使用情况,评估指标的感知重要性,责任问题和培训需求.
主要成果:
- 64.4%的医生报告使用LLM,准确性是首要任务.
- 医生在中心与机构的LLM访问报告显着较低的责任问题 (49.2%对66.7%).
- 94%的医生希望进一步培训,优先考虑临床应用和风险管理;只有2.6%的医生向患者推LLM.
结论:
- 医生采用LLMs很普遍,准确性是主要关注点.
- 机构LLM访问可能会减轻医生之间的责任担忧.
- 医疗中心应该制定有针对性的政策和教育计划,以支持负责任的LLM整合.
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