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元治理视角下医联体数据治理协同机制的理论建构与路径分析

Theoretical Construction and Path Analysis of the Collaborative Mechanism for Medical Consortium Data Governance from the Perspective of Meta-governance

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【作者】 许楠楠; 张雪; 李伟; 梁莉雯; 陈渝;

【Author】 XU Nannan;ZHANG Xue;LI Wei;LIANG Liwen;CHEN Yu;Hospital Administration Office, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology;Faculty of Management and Economics, Kunming university of Science and Technology;Faculty of Humanities and Management, Kunming Medical University;Party Committee Office, Kunming Medical University;Department of Cardiology, the First People′s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology;

【通讯作者】 张雪;李伟;陈渝;

【机构】 云南省第一人民医院院办,昆明理工大学附属医院; 昆明理工大学管理与经济学院; 昆明医科大学人文与管理学院; 昆明医科大学党委办公室; 云南省第一人民医院心血管内科昆明理工大学附属医院;

【摘要】 剖析医联体数据治理多元主体结构及困境,发现核心医院、基层医疗卫生机构、卫生健康行政主管部门、信息技术提供方、医保及第三方平台主体等在权责、能力、动机和信任等方面存在矛盾.基于元治理理论,构建了制度协同、技术协同、信任协同和资源协同的四维机制框架,提出完善政策体系、统一数据标准、建立数据共享平台、加强信任机制建设以及整合资源等优化路径建议,旨在提升医联体数据治理协同效能,为分级诊疗与智慧医疗体系建设提供理论支撑.

【Abstract】 This study analyzes the multi-subject structure and difficulties in data governance of medical consortia.It reveals conflicts among core hospitals, primary-level institutions, health authorities, IT providers, and medical insurance/third-party platforms in terms of responsibilities, capabilities, motivations, and trust.Based on meta-governance theory, it constructs a four-dimension mechanism framework of institutional, technical, trust, and resource collaboration, and proposes optimization paths like improving policy systems, unifying data standards, building data-sharing platforms, and strengthening trust mechanisms.These aims to boost the collaborative efficiency of data governance in medical consortia and offers references for building tiered diagnosis-treatment and smart medical systems.

【基金】 昆明理工大学医学联合专项资助项目(KUST-KH2023045Y)
  • 【文献出处】 云南师范大学学报(自然科学版) ,Journal of Yunnan Normal University(Natural Sciences Edition) , 编辑部邮箱 ,2025年04期
  • 【分类号】R197.1
  • 【下载频次】34
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