基于米特—霍恩模型的医保经办服务数智化转型困境与优化
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作者单位:

安徽医科大学卫生管理学院,安徽 合肥 230032

作者简介:

陈湘婉(2000—),女,安徽安庆人,硕士研究生在读,研究方向为社会保障;
汤质如(1971—),男,安徽合肥人,教授,研究方向为卫生经济学、医疗保险,通信作者,tang_zhiru2004668@sina.com。

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中图分类号:

R197.1

基金项目:

安徽省卫生健康委员会横向合作项目“安徽省卫生费用核算研究”(K2021209)


Dilemma and optimization of digital intelligence transformation of medical insurance administrative service based on the Meter⁃Horn model
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School of Health Management,Anhui Medical University,Hefei 230032 ,China

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    摘要:

    文章基于米特—霍恩模型,以浙江、贵州等为例,从 6 个维度分析我国医保经办服务数智化转型的政策执行困境,即政策目标模糊且标准不统一、政策资源保障与激励机制存在困境、政策执行方式与适老化尚待改进、执行机构间存在行政化与协同壁垒、政策运行环境复杂多变、政策执行人员价值认知与专业能力存在差异等困境。需通过因地制宜细化政策目标与标准、强化资源保障机制、构建多元治理网络、丰富政策执行方式、优化政策执行环境、进行经办人员差异化培训等举措,推动医保经办服务向高效便捷的数智化方向转型。

    Abstract:

    Based on the Meter-Horn model,and using Zhejiang,Guizhou,and other regions as examples, this paper discusses and analyzes the policy implementation difficulties of the digital intelligence transformation of medical insurance administrative services across six dimensions,thereby providing theoretical foundations for optimizing policy formulation and implementation and improving the administrative services efficiency. The policy implementation difficulties include vague policy objectives and inconsistent standards,limitations in policy resource guarantees and incentive mechanisms,needs for improvement in policy implementation methods and elderly oriented adaptation,administrative and coordination barriers between implementing agencies,a complex and unpredictable policy operating environment,and gaps in administrators’perceived value and professional capabilities. Through measures such as refining policy objectives and standards tailored to local conditions,strengthening resource guarantee mechanisms,building a multi - governance network,expanding policy implementation methods,optimizing the policy implementation environment,and conducting customized training for administrative practitioners,we will promote the transformation of medical insurance administration services towards a more efficient and convenient digital intelligence direction.

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陈湘婉,汤质如.基于米特—霍恩模型的医保经办服务数智化转型困境与优化[J].南京医科大学学报(社会科学版),2026,26(1):45~50

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  • 收稿日期:2025-08-26
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  • 在线发布日期: 2026-02-28
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