National Institute for Health and Care Excellence (NICE), England, UK.
National Institute for Health and Care Excellence (NICE), England, UK.
Value Health. 2024 Sep;27(9):1196-1205. doi: 10.1016/j.jval.2024.05.006. Epub 2024 May 23.
Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcare systems will increasingly see new interventions that use artificial intelligence (AI) to perform their function. We developed Consolidated Health Economic Evaluation Reporting Standards for Interventions that use AI (CHEERS-AI) to ensure EEs of AI-based health interventions are reported in a transparent and reproducible manner.
Potential CHEERS-AI reporting items were informed by 2 published systematic literature reviews of EEs and a contemporary update. A Delphi study was conducted using 3 survey rounds to elicit multidisciplinary expert views on 26 potential items, through a 9-point Likert rating scale and qualitative comments. An online consensus meeting was held to finalize outstanding reporting items. A digital health patient group reviewed the final checklist from a patient perspective.
A total of 58 participants responded to survey round 1, 42, and 31 of whom responded to rounds 2 and 3, respectively. Nine participants joined the consensus meeting. Ultimately, 38 reporting items were included in CHEERS-AI. They comprised the 28 original CHEERS 2022 items, plus 10 new AI-specific reporting items. Additionally, 8 of the original CHEERS 2022 items were elaborated on to ensure AI-specific nuance is reported.
CHEERS-AI should be used when reporting an EE of an intervention that uses AI to perform its function. CHEERS-AI will help decision makers and reviewers to understand important AI-specific details of an intervention, and any implications for the EE methods used and cost-effectiveness conclusions.
经济评估(EE)常用于决策者了解健康干预措施的价值。《健康经济评估报告标准(CHEERS 2022)》为 EE 提供了报告指南。医疗保健系统将越来越多地看到新的干预措施,这些干预措施使用人工智能(AI)来执行其功能。我们制定了《使用人工智能的健康干预措施经济评估报告标准(CHEERS-AI)》,以确保以透明和可重复的方式报告基于 AI 的健康干预措施的 EE。
潜在的 CHEERS-AI 报告项目是根据 2 项关于 EE 的已发表系统文献综述和当代更新的内容确定的。通过 9 分李克特评分量表和定性评论,使用 3 轮调查进行了一项德尔菲研究,以征求多学科专家对 26 项潜在项目的意见。举行了一次在线共识会议,以敲定悬而未决的报告项目。一个数字健康患者团体从患者的角度审查了最终检查表。
共有 58 名参与者回应了第一轮调查,42 名和 31 名参与者分别回应了第二轮和第三轮调查,9 名参与者参加了共识会议。最终,38 项报告项目被纳入 CHEERS-AI。它们包括 28 项原始 CHEERS 2022 项目,加上 10 项新的 AI 特定报告项目。此外,原始 CHEERS 2022 中的 8 个项目进行了详细阐述,以确保报告 AI 特定的细微差别。
当报告使用 AI 执行其功能的干预措施的 EE 时,应使用 CHEERS-AI。CHEERS-AI 将帮助决策者和评审员了解干预措施的重要 AI 特定细节,以及对 EE 方法使用和成本效益结论的任何影响。