医疗保险中的人工智能:利用,支出和获得AI支持的临床软件
Anna Zink1, Claire Boone, Karen E Joynt Maddox
1University of Chicago Booth School of Business, 5807 S Woodlawn Ave, Chicago, IL 60637.
The American journal of managed care
|May 31, 2024
概括
医疗保险对启用人工智能的CT分流储备 (FFRCT) 的补偿迅速增长,主要是在资源充足的医院和专家中. 这一趋势凸显了需要监控人工智能工具的采用,以实现公平的患者接入.
科学领域:
- 心血管医学 心血管医学
- 医疗信息学 医疗信息学
- 医学经济学 医学经济学
背景情况:
- 2018年,医疗保险引入了CT分流储备 (FFRCT) 的报销,这是首个支持AI的临床软件,用于诊断冠状动脉疾病.
- 了解这些技术的采用模式对于评估它们对医疗保健提供和患者结果的影响至关重要.
研究的目的:
- 从2018年到2022年量化医疗保险利用率和FFRCT支出.
- 描述采用FFRCT技术的医院,临床医生和患者.
主要方法:
- 分析100%的医疗保险服务费索赔数据.
- 采用FRCT与不采用FRCT的实体 (医院,临床医生) 和患者的比较.
- 评估FFRCT使用和支出的年度趋势.
主要成果:
- 在2018年至2022年期间,FFRCT的计费量增加了11倍以上.
- 采用医院更大,是卫生系统的一部分,非营利性,有利可图.
- 采用临床医生更有可能成为大型实践中的心脏专家.
- FFRCT患者更有可能是男性,白人,并且不太可能获得医疗补助或残疾福利.
结论:
- FFRCT最初的5年传播集中在资源充足的医疗保健提供者中.
- 监测人工智能支持的临床软件的传播对于确保公平获得这些诊断工具至关重要.
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