在医疗保健中使用大型语言模型的观点和经验:调查研究研究研究
Jennifer Sumner1, Yuchen Wang2, Si Ying Tan1
1Alexandra Research Centre for Healthcare in a Virtual Environment, Alexandra Hospital, Singapore, Singapore.
Journal of medical Internet research
|May 1, 2025
概括
大型语言模型 (LLM) 在医疗保健方面表现有前途,但采用障碍仍然存在,特别是对于医疗保健工作者,老年人和女性来说. 有针对性的教育和支持对于成功将LLM纳入医疗保健机构至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 技术采用 技术采用
背景情况:
- 大型语言模型 (LLM) 在包括医疗保健在内的各个部门越来越多地被使用.
- 了解用户接受和技术使用对于成功实施至关重要,正如"技术接受和使用统一理论"等框架所表明的那样.
研究的目的:
- 调查医疗保健中大型语言模型 (LLM) 用户的吸收,感知和经验.
- 分析与用户人口统计学和专业资料相关的调查答案.
主要方法:
- 电子调查分发给医疗保健提供者,辅助人员,学生和对LLMs了解的学者.
- 调查领域包括人口统计,用户体验,LLM使用动机以及对功能角色的感知影响.
主要成果:
- 在845名受访者中,有221名非用户,他们更有可能是医疗保健工作者,老年人和女性.
- 用户为了速度和方便而采用LLM,但46%的人认为生成的内容没有帮助;男性用户报告了更多积极的体验.
- 与用户相比,非用户不太可能认为LLM满足未满足的需求或改善功能角色.
结论:
- 非使用者 (医疗保健工作者,老年人,女性) 对LLM采用的犹凸显了有针对性的教育和支持的需要.
- 预期的角色变化,人与人之间的互动,以及潜在的数字沟,需要对医疗保健中的LLM进行仔细的实施和持续评估,以实现公平性和可持续性.
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