住院医生对人工智能的看法和对医学教育的影响:一种定性研究
Andrew McFarlane1, Shirin Sadri2, Ezra Schwartz3
1Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
MedEdPublish (2016)
|February 2, 2026
概括
住院医生认识到人工智能 (AI) 在医疗保健中的潜力,但担心他们的代理和潜在的危害. 医学教育必须解决人工智能问题.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 医疗教育中对人工智能 (AI) 培训的需求越来越大.
- 缺乏关于将人工智能纳入医学课程的共识.
- 对医疗学员对医疗保健中人工智能的看法的理解有限.
研究的目的:
- 探索住院医生对医疗保健中的AI的看法.
- 为医疗教育开发人工智能课程提供信息.
- 评估AI对未来医疗实践的潜在影响.
主要方法:
- 与各种专业的住院医生进行了重点小组 (2018-2019).
- 代编码的采访成绩单以确定主题.
- 集群编码数据以捕捉居民对AI的看法.
主要成果:
- 来自五个专业的56名居民参加了这次活动.
- 关键主题:医疗保健转型,人工智能的临床/系统作用,对缺乏代理权的担忧,人工智能的潜在危害,以及持久的医生角色 (人文主义,判断,责任).
结论:
- 居民强调了技术无法取代的人文角色.
- 对人工智能实施中的医生代理表示担忧.
- 推的医学教育重点是人工智能的人文/道德挑战,基础知识和参与机会.
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