人工智能支付政策:CMS和医疗保险医生费用表的挑战
Robert L Longyear1, Robert A Berenson2
1Robert L. Longyear (Robert.Longyear@duke.edu), Duke University, Durham, North Carolina.
Health affairs (Project Hope)
|January 6, 2026
概括
人工智能 (AI) 临床决策支持工具需要更新医疗保险支付政策. 目前的系统需要进行重大改革,以适应人工智能技术在医疗保健提供和确保成本效益.
科学领域:
- 卫生政策 卫生政策
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能在临床决策支持中越来越多地被采用,这给现有的医疗保健支付结构带来了挑战.
- 医疗保险的支付政策,特别是医生费用表,并不是为基于软件的技术而设计的.
研究的目的:
- 为了确定医疗保险支付政策对AI临床决策支持技术的挑战.
- 根据目前的支付框架,讨论将人工智能整合到医疗保健提供中.
- 提出政策建议,以调整医疗保险对人工智能的报销.
主要方法:
- 对医疗保险医生费用表的政策分析.
- 审查基于资源的相对价值规模方法.
- 讨论政策制定者和医疗保险和医疗补助服务中心 (CMS) 的挑战.
主要成果:
- 基于资源的相对价值规模方法不适合基于软件的AI技术.
- 目前的支付系统需要进行重大调整和改革.
- 缺乏明确的报销途径阻碍了人工智能在护理提供中的采用.
结论:
- 人工智能技术覆盖范围的确定需要一个新的政策框架.
- 改革基于资源的相对价值尺度和建立明确的偿还途径至关重要.
- 成本效益分析应该指导医疗保险对人工智能的支出,以改善医疗保健结果.
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