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建立用于开发基于人工智能的临床决策支持在紧急医学的方法标准
Hashim Kareemi1,2, Henry Li3,4, Akshay Rajaram5,6
1Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada. hashim.kareemi@vch.ca.
CJEM
|February 7, 2025
概括
为急救部门开发人工智能 (AI) 临床决策支持工具需要方法标准. 十一项建议涉及问题选择,数据质量,AI报告和伦理,以确保严格的开发和临床医生的信任.
科学领域:
- 紧急医疗 紧急医疗
- 人工智能的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 为管理复杂的急诊室 (ED) 护理提供了机会.
- 临床决策支持 (CDS) 是ED中AI的优先应用.
- 在ED中缺乏建立的指导,用于开发和评估基于AI的CDS工具.
研究的目的:
- 定义专门为ED开发基于AI的CDS工具的方法标准.
- 为了回答以下问题:"在ED中开发基于AI的临床决策支持工具时,应应用哪些方法标准?"
主要方法:
- 采用了一种代的共识形成过程.
- 这涉及一个拥有人工智能专业知识的小组委员会,调查,以及与急诊医生进行的讨论.
- 通过使用大型语言模型来增强反的分析.
主要成果:
- 为基于AI的CDS开发制定了11个关键建议.
- 这些包括问题选择,专家团队组成,数据质量和数量标准,AI特定的报告准则以及遵守伦理和隐私原则.
- 由于缺乏共识,对模型解释性的建议被排除在外.
结论:
- 这11个建议为基于人工智能的紧急医疗CDS开发提供了指导原则和方法标准.
- 这些标准旨在确保严格的开发流程.
- 它们还旨在促进使用这些工具的临床医生之间的知识和信任.
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