医疗保健中人工智能辅助技术的经济评估:系统性审查
Wen-Tung Wu1,2,3, Yi-Wen Chao2,4, Tsung-Kun Lin1,2
1Department of Pharmacy Practice, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan, ROC.
Journal of food and drug analysis
|January 12, 2026
概括
医疗保健中的人工智能 (AI) 通常具有成本效益,但成本报告不一致和方法问题限制了证据的可靠性. 对于准确的AI经济价值评估,需要标准化框架.
科学领域:
- 卫生经济学 卫生经济学
- 医疗保健中的人工智能
- 系统审查是系统的审查.
背景情况:
- 人工智能在医疗保健中的整合正在增长,但其经济价值尚不清楚.
- 传统的经济评估可能无法捕捉到AI的动态性和可扩展性.
- 评估人工智能干预措施的成本效益对于采用至关重要.
研究的目的:
- 系统地审查和综合有关基于人工智能的医疗干预措施成本效益的证据.
- 评估AI发表的健康经济评估的方法严谨性.
- 识别当前研究中的差距和局限性.
主要方法:
- 按照PRISMA和SWiM指南进行系统的文献搜索 (2019年9月 - 2025年3月).
- 包括全面的经济评估,比较人工智能与非人工智能干预.
- 使用CHEERS检查清单评估方法质量.
主要成果:
- 包括来自15个国家的52项研究,重点关注糖尿病视网膜病变,癌症和心血管疾病的AI.
- 98%的研究报告说,人工智能干预是具有成本效益,成本效益或节省成本的.
- 他们注意到AI特定成本和方法异质性的不一致报告.
结论:
- 基于人工智能的医疗干预措施显示出一般的成本效益.
- 方法的异质性,不完整的成本数据和潜在的偏差限制了当前证据的可靠性.
- 为了在医疗保健中对人工智能的强有力的经济评估,需要标准化框架.
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