一般医生希望大语言模型如何应用于初级保健,他们的担忧是什么? 一个跨部门调查
1Academic Unit of Population and Lifespan Sciences, School of Medicine, University of Nottingham, Nottingham, UK.
Journal of evaluation in clinical practice
|May 15, 2025
概括
一般医生热衷于使用大型语言模型 (LLM) 进行临床任务,如笔记和任务管理,只要保证准确性和安全性. 患者安全仍然是LLM在初级保健中的实施的一个关键问题.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 主要护理技术的初级护理技术
背景情况:
- 大型语言模型 (LLM) 在医学中具有显著的潜力,但它们在初级保健中的具体应用和相关问题仍然未被探索.
- 一般医生 (GPs) 的观点对于成功将LLMs纳入临床实践至关重要.
研究的目的:
- 评估全科医生如何设想在初级保健机构中使用LLM.
- 确定全科医生在临床工作流程中实施LLM的主要担忧.
主要方法:
- 一项在线调查通过两个专业的Facebook群组分发给总部位于英国的全科医生.
- 该调查在2024年11月6日至13日期间从107名执业的全科医生收集了数据,使用非概率抽样.
主要成果:
- 一般医生表示强烈支持LLM执行非临床和临床任务,假设保证准确性和安全性.
- 最受欢迎的非临床任务是实时咨询笔记生成 (44.0%),而最受欢迎的临床任务是自动识别和处理未完成的临床任务 (51.0%).
- 关于将LLM整合到临床系统中,全科医生最担心的是患者安全 (36.2%).
结论:
- 初步证据表明,LLM在初级保健中的实用性有很大的潜力,与特定应用的GP偏好保持一致.
- 进一步的研究对于完善初级保健的LLM开发至关重要,确保技术进步和全科医生的用户接受.
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