[1]许 洛,赵 锐,王晓君.医疗人工智能技术的付费机制探析[J].卫生经济研究,2025,42(07):76-80.
 XU Luo,ZHAO Rui,WANG Xiaojun.Study on Payment Mechanism of Artificial Intelligence Technology in Healthcare Service Scenarios[J].Journal Press of Health Economics Research,2025,42(07):76-80.
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医疗人工智能技术的付费机制探析

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
42
期数:
2025年07期
页码:
76-80
栏目:
数智健康
出版日期:
2025-07-01

文章信息/Info

Title:
Study on Payment Mechanism of Artificial Intelligence Technology in Healthcare Service Scenarios
作者:
许 洛1赵 锐2王晓君3
1.华中科技大学同济医学院医药卫生管理学院,湖北 武汉 430030
2.国家中医药管理局监测统计中心,北京 100044
3.江汉大学医学部,武汉市肺科医院,湖北 武汉 430030
Author(s):
XU Luo ZHAO Rui WANG Xiaojun
School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei 430030, China
关键词:
医疗人工智能付费机制医疗保险技术类型公立医院
Keywords:
healthcare artificial intelligence payment mechanism health insurance technology type public hospitals
分类号:
R19
文献标志码:
A
摘要:
当前,人工智能技术在我国医疗服务场景中的付费模式包括医院自筹、打包付费、全额自付和医保分摊四种,面临费用分担机制不健全、商业闭环缺失、医保衔接不足等困境。对此,应立足于我国医疗服务场景,基于技术性质和证据层级两个维度构建适宜的医疗人工智能技术付费模式,兼顾医保部门、患者、企业与医疗机构四方利益,针对成熟健康型、成熟效率型、潜力效率型、潜力健康型技术设计差异化支付机制,从而推动医疗人工智能技术的付费改革进程。
Abstract:
At present, the payment models of artificial intelligence technology in healthcare service scenarios in China include four types of hospital self-financing, packaged payment, full self-payment and health insurance sharing, which are facing the dilemmas of unsound cost-sharing mechanism, lack of commercial closed-loop, and insufficient connection with health insurance. In this regard, based on healthcare service scenarios in China, a reasonable payment model for healthcare AI technology is constructed based on the dimensions of technology nature and evidence level. The interests of the four parties of the health insurance department, the patient, the enterprise and the medical institution are taken into account. The differentiated payment mechanisms are designed for mature health, mature efficiency, potential efficiency, and potential health technologies, so as to promote the payment reform process of healthcare artificial intelligence technology.

参考文献/References:

[1] Denniston A K,Liu X.Responsible and evidence-based AI:5 years on[J].The Lancet Digital Health,2024,6(05):e305-e307.
[2] 许洛,胡银环,冯显东,等.我国公立医院应用人工智能改善患者体验的典型案例研究[J].健康发展与政策研究,2024,27(04):301-307.
[3] 俞纯璐,陈文,张璐莹.美国人工智能医保支付的经验及启示[J].中国卫生经济,2024,43(07):93-96.
[4] Pagallo U,O’Sullivan S,Nevejans N,et al.The underuse of AI in the health sector:Opportunity costs, success stories, risks and recommendations[J].Health and Technology,2024,14(01):1-14.
[5] 郑大喜,谢雨晴.医疗服务领域创新通用技术应用、立项与价格形成的思考[J].中国卫生经济,2022,41(12):50-55.
[6] 17批医疗服务价格项目立项指南发布[EB/OL].[2024-12-04]. http:// paper.people.com.cn/zgcsb/pc/content/202412/02/content_300324 90.html.
[7] 郗胡平.人工智能赋能经济高质量发展[J].宏观经济管理,2024(09):19-27,38.
[8] 陈非非,张璐莹,俞纯璐,等.DRG付费下创新医疗技术的额外支付机制研究——基于国际经验与启示[J].卫生经济研究,2023, 40(08):28-32.
[9] Chen M M,Golding L P,Nicola G N.Who will pay for AI?[J].Radiology: Artificial Intelligence,2021,3(03):e210030.
[10] 冯逸佳,张璐莹,李骄阳,等.我国DRG/DIP付费下创新医疗技术支付机制政策分析[J].中国卫生政策研究,2024,17(09):1-5.
[11] 郑大喜.创新医疗技术收费立项、定价与医保目录准入[J].中国医疗保险,2024(11):48-54.
[12] 何谦然,邓大松,李玉娇.中国公立医院改革历程的公共政策评估[J]. 社会保障研究,2014(01):3-13.
[13] 林夏,吕兰婷,金盾,等.我国三级公立医院医疗技术准入影响因素分析[J].中国医院管理,2019,39(02):14-16.
[14] 叶选挺,马诗敏,王宇,等.场景驱动视角下我国智能医疗产业演化研究[J].科技进步与对策,2023,40(24):20-30.
[15] 陈昕欣,封进.医保报销待遇与患者异地就医选择——基于空间距离、医院等级和医保待遇的分析[J].数量经济技术经济研究,2024,41(04):131-152.
[16] Sarkar R,Samuel D,Dunbar L,et al.5 years of the lancet digital health[J].The Lancet Digital Health,2024 6(5):e299.
[17] 孟翠湖,辛至明,孟雪晖.DRG支付方式改革背景下公立医院高质量发展机制——基于双重嵌入性视角的单案例研究[J].公共管理学报,2024,21(01):134-145,174.
[18] Parikh R B,Helmchen L A.Paying for artificial intelligence in medicine[J].Npj Digital Medicine,2022,5(01):1-5.
[19] 罗雅双,童平,符雨嫣,等.德国数字健康应用软件医保准入的经验和启示[J].健康发展与政策研究,2024,27(02):187-193.
[20] Wu G,Segovis C M,Nicola L P,et al.Current reimbursement landscape of artificial intelligence[J].Journal of the American College of Radiology,2023,20(10):957-961.

相似文献/References:

[1]许 洛,王晓君.医疗人工智能应用:分类逻辑及风险治理[J].卫生经济研究,2026,43(01):81.
 XU Luo,WANG Xiaojun.Healthcare Artificial Intelligence Applications: Classification Logic and Risk Governance[J].Journal Press of Health Economics Research,2026,43(07):81.

更新日期/Last Update: 2025-07-01