Suppr超能文献

人工智能干预措施的综合健康经济评估报告标准 (CHEERS-AI)。

Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI).

机构信息

National Institute for Health and Care Excellence (NICE), England, UK.

National Institute for Health and Care Excellence (NICE), England, UK.

出版信息

Value Health. 2024 Sep;27(9):1196-1205. doi: 10.1016/j.jval.2024.05.006. Epub 2024 May 23.

Abstract

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

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。

方法

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。

结果

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。

结论

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。

相似文献

1
Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI).
Value Health. 2024 Sep;27(9):1196-1205. doi: 10.1016/j.jval.2024.05.006. Epub 2024 May 23.
3
Consolidated Health Economic Evaluation Reporting Standards - Value of Information (CHEERS-VOI): Explanation and Elaboration.
Value Health. 2023 Oct;26(10):1461-1473. doi: 10.1016/j.jval.2023.06.014. Epub 2023 Jul 4.
4
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.
J Med Econ. 2013;16(6):713-9. doi: 10.3111/13696998.2013.784591. Epub 2013 Mar 25.
5
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.
Value Health. 2013 Mar-Apr;16(2):e1-5. doi: 10.1016/j.jval.2013.02.010.
6
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.
Int J Technol Assess Health Care. 2013 Apr;29(2):117-22. doi: 10.1017/S0266462313000160. Epub 2013 Apr 15.
7
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.
Pharmacoeconomics. 2013 May;31(5):361-7. doi: 10.1007/s40273-013-0032-y.
9
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.
Clin Ther. 2013 Apr;35(4):356-63. doi: 10.1016/j.clinthera.2013.03.003. Epub 2013 Mar 25.
10
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.
Eur J Health Econ. 2013 Jun;14(3):367-72. doi: 10.1007/s10198-013-0471-6.

引用本文的文献

1
Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare.
NPJ Digit Med. 2025 Aug 26;8(1):548. doi: 10.1038/s41746-025-01722-y.
3
Artificial intelligence tool development: what clinicians need to know?
BMC Med. 2025 Apr 24;23(1):244. doi: 10.1186/s12916-025-04076-0.
4
Using AI in the Economic Evaluation of AI-Based Health Technologies.
Pharmacoeconomics. 2025 Jun;43(6):597-600. doi: 10.1007/s40273-025-01496-x. Epub 2025 Apr 23.
5
8
Reporting Standards for Economic Evaluations of Artificial Intelligence (AI) Interventions: A CHEERS Extension.
Int J Technol Assess Health Care. 2024 Nov 29;41(1):1-4. doi: 10.1017/S0266462324004756.
10
Clinical Evaluation of Artificial Intelligence-Enabled Interventions.
Invest Ophthalmol Vis Sci. 2024 Aug 1;65(10):10. doi: 10.1167/iovs.65.10.10.

本文引用的文献

2
Consolidated Health Economic Evaluation Reporting Standards - Value of Information (CHEERS-VOI): Explanation and Elaboration.
Value Health. 2023 Oct;26(10):1461-1473. doi: 10.1016/j.jval.2023.06.014. Epub 2023 Jul 4.
3
Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study.
Lancet Digit Health. 2022 Jun;4(6):e436-e444. doi: 10.1016/S2589-7500(22)00042-5. Epub 2022 Apr 13.
5
The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.
Value Health. 2022 Mar;25(3):359-367. doi: 10.1016/j.jval.2021.06.018. Epub 2021 Oct 22.
6
Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah.
Value Health. 2022 Mar;25(3):340-349. doi: 10.1016/j.jval.2021.11.1362. Epub 2021 Dec 16.
8
Cost-effectiveness of artificial intelligence screening for diabetic retinopathy in rural China.
BMC Health Serv Res. 2022 Feb 25;22(1):260. doi: 10.1186/s12913-022-07655-6.
10
Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence-Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis.
Open Forum Infect Dis. 2021 Dec 15;8(12):ofab567. doi: 10.1093/ofid/ofab567. eCollection 2021 Dec.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验