综合健康经济评估报告标准用于使用人工智能 (CHEERS-AI) 的干预
Jamie Elvidge1, Claire Hawksworth1, Tuba Saygın Avşar1
1National Institute for Health and Care Excellence (NICE), England, UK.
概括
新的指导方针称为使用人工智能 (CHEERS-AI) 的干预措施的综合健康经济评估报告标准,确保对人工智能健康干预措施的透明报告. 这些标准有助于决策者了解AI的具体细节和成本效益的结论.
科学领域:
- 卫生经济学 卫生经济学
- 医疗保健中的人工智能
- 报告标准 报告标准
背景情况:
- 经济评估 (EE) 指导卫生干预的决策.
- 现有的指导方针,如综合健康经济评估报告标准 (CHEERS 2022),对人工智能缺乏具体性.
- 医疗保健系统越来越多地采用人工智能 (AI) 的干预措施.
研究的目的:
- 为使用人工智能 (CHEERS-AI) 的干预制定综合健康经济评估报告标准.
- 确保对基于人工智能的健康干预进行透明和可重复的报告.
- 为决策者和审查者提供AI特定的报告指南.
主要方法:
- 对EEs的系统文献审查和专家咨询为潜在的CHEERS-AI项目提供了信息.
- 德尔菲的一项研究,在三轮调查中,58名参与者获得了专家意见.
- 在线共识会议和患者组审查最终确定了报告清单.
主要成果:
- CHEERS-AI的检查清单包括38个报告项目.
- 它包含了28个原来的CHEERS 2022项目,以及10个新的AI专用项目.
- 八个现有的CHEERS 2022项目被扩展,以解决AI细微差别.
结论:
- 推CHEERS-AI用于报告AI健康干预措施的EEs.
- 这些标准提高了对AI特定干预细节的理解.
- CHEERS-AI有助于评估对EE方法和成本效益的影响.
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