确保在医疗保健中有效采用生成性人工智能
Jenelle A Jindal1, Matthew P Lungren2,3,4, Nigam H Shah5,6,7
1Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, United States.
概括
生成型人工智能 (AI) 在医疗保健中提供价值,如果采用自下而上的方式,与传统人工智能不同,传统人工智能从自上而下的实施中获益. 卫生系统必须在文化上适应GenAI,以最大限度地提高患者的利益.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 卫生系统管理管理卫生系统管理
背景情况:
- 在医疗保健中采用历史性的技术.
- 人工智能 (AI) 在卫生系统中的现状.
- 生成性AI (GenAI) 的出现及其潜在影响.
研究的目的:
- 评估在卫生系统中采用生成人工智能 (GenAI) 的价值主张.
- 为了比较传统AI与GenAI的价值实现.
- 为最佳的GenAI在医疗保健中的实施提供建议.
主要方法:
- 关于在医疗保健中部署技术的文献综述.
- 对历史和最近的人工智能部署的分析.
- 通过以价值为中心的镜头评估传统的AI和GenAI.
主要成果:
- 传统的AI和GenAI拥有不同的能力和部署模式.
- 当前在医疗保健中的自上而下的GenAI应用显示了不清楚的价值.
- 从下而上采用GenAI为卫生系统和患者带来了潜在的好处.
结论:
- 传统的人工智能,当从上到下实施时,有效地为医疗保健提供价值.
- 通过文化适应和卫生系统内的自下而上的采用来最大化GenAI的价值.
- 卫生系统需要战略和文化转变,才能充分利用GenAI的潜力,使患者受益.
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