From Passive Response to Proactive Optimization: A Design Concept of an Intelligent Closed-Loop Governance System for Medical Service Pricing in Public Hospitals

China Health Insurance ›› 2026, Vol. 0 ›› Issue (7) : 90-95.

China Health Insurance ›› 2026, Vol. 0 ›› Issue (7) : 90-95. DOI: 10.19546/j.issn.1674-3830.2026.7.011
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From Passive Response to Proactive Optimization: A Design Concept of an Intelligent Closed-Loop Governance System for Medical Service Pricing in Public Hospitals

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Abstract

As the reform of medical service price enters the phase of "item standardization", public hospitals face increasingly stringent compliance requirements in price governance. Currently, delayed price maintenance updates, complex and error-prone clinical rule enforcement, heavy reliance on manual billing processes, and inadequate closed-loop mechanisms for post-hoc regulation, leading to the dual pressures of rising compliance costs and heightened violation risks. To address these challenges, this paper proposes a design concept for an intelligent price management system grounded in principles of clinical workflow integration, closed-loop risk governance, precise policy adaptation, and proactive management empowerment. The design features a two-tier control mechanism comprising in-process review and pre-discharge review, integrates core functional modules with a multi-source data infrastructure, and employs natural language processing techniques for the structured transformation of policy rules. This concept offers a technical framework for transitioning public hospital price management from passive response to proactive optimization.

Key words

medical service price management / intelligent price management system / closed-loop risk governance

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From Passive Response to Proactive Optimization: A Design Concept of an Intelligent Closed-Loop Governance System for Medical Service Pricing in Public Hospitals[J]. China Health Insurance. 2026, 0(7): 90-95 https://doi.org/10.19546/j.issn.1674-3830.2026.7.011

References

[1] 国务院.医疗保障基金使用监督管理条例:国务院令第735号[Z].2021-01-15.
[2] 国务院办公厅.关于加强医疗保障基金使用常态化监管的实施意见:国办发〔2023〕17号[Z].2023-05-26.
[3] 国家医疗保障局.关于印发《医疗保障基金智能审核和监控知识库、规则库管理办法(试行)》的通知:医保发〔2022〕12号[Z].2022-03-30.
[4] 国家医疗保障局.关于医疗保障基金智能审核和监控知识库、规则库框架体系(1.0版)的公告[Z].2023-05-15.
[5] 郑大喜. 基于多元主体协同治理的医疗服务价格项目立项指南对接与应用研究[J].中国卫生经济,2026,45(4):44-50.
[6] 朱建霞,赵杨洋,范静嘉.医疗服务价格智能监管在精神专科医院管理中的应用——以南通市某医院为例[J].中国医疗保险,2025(11):106-113.
[7] 郑大喜. 医疗服务收费智能监控政策梳理、方案比较与启示[J].现代医院管理,2023,21(3):46-49.
[8] 蔡洁. 医院物价智能审核系统的探索和应用[J].经济师,2025(11):223-224.
[9] 汪演,陈翥,娄淮建.医院物价信息化管理[J].解放军医院管理杂志,2013,20(11):1003,1039.
[10] 胡枫. DeepSeek赋能医院价格管理的实现路径[J].卫生经济研究,2026,43(3):73-76.

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