数智赋能基层医疗卫生服务能力提升的机制与策略——基于苏南S镇的案例研究
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1.江苏大学 管理学院;2.扬州凯瑞特医疗用品有限公司

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]国家自然科学基金面上项目“基于居民主动利用的基层卫生服务价值实现机制与提升策略研究(72274081)”;江苏省社科“多病共存背景下数智赋能江苏基层医防融合的机制与政策研究(24GLB023)”;江苏大学科研立项项目“老年人数字融入对其主动健康行为的影响研究(Y23C057)”;扬州市级计划—社会发展项目“疫情防控常态化下疫情物资管理可视化系统构建(YZ2022063)”。 ,倪凯2


Mechanisms and Strategies for Enhancing Grassroots Healthcare Service Capabilities through Digital-Intelligent Empowerment: A Case Study of S Town in Southern Jiangsu
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1.School of Management,Jiangsu University,Zhenjiang;2.China,;3.Yangzhou KRT Medical Supplies COLTD,Yangzhou;4.China

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    摘要:

    目的:基于创新扩散理论,探讨数智赋能基层医疗卫生服务能力提升的机制,以苏南S镇为案例,揭示技术赋能与制度重构的协同机制,为基层医疗卫生数智化转型提供理论参考与实践策略。方法:采用单案例研究法,通过参与式观察、半结构化访谈及档案资料分析,结合创新扩散理论框架,从政策内部执行与外部环境适应双重视角,解析S镇数智赋能的困境与创新扩散机制。结果:研究发现,数智赋能面临资源约束、人力断层、代际数字鸿沟等多重阻力,引发数智赋能基层医疗卫生服务的负担化现象。S镇通过“技术-制度协同”“政策网络重构”“环境适应性调整”三重机制,实现数智技术与基层服务的动态适配,破解兼容性与复杂性矛盾。具体策略包括模块化技术应用、柔性化数据采集、老年群体辐射式扩散及人力资本代际优化。结论:基层医疗卫生数智化转型需构建弹性化制度框架与社会网络嵌入机制,强化技术逻辑与治理逻辑的深度耦合。政府与基层主体应协同推进动态调适与渐进创新,以消弭数字鸿沟,提升政策韧性与服务效能。

    Abstract:

    Purpose: Based on the innovation diffusion theory, this study explores the mechanisms for enhancing grassroots healthcare service capabilities through digital-intelligent empowerment (DIE), taking S Town in Southern Jiangsu as a case. It reveals the synergistic mechanism between technological empowerment and institutional reconstruction, providing theoretical references and practical strategies for the digital-intelligent transformation of grassroots healthcare. Methods: A single-case study method was employed, integrating participatory observation, semi-structured interviews, and archival analysis. Guided by the innovation diffusion theory framework, the study analyzed the dilemmas and diffusion mechanisms of DIE in S Town from dual perspectives of internal policy implementation and external environmental adaptation. Results: The research identified multiple challenges in DIE, including resource constraints, human capital gaps, and intergenerational digital divides, which triggered the burden phenomenon in grassroots healthcare services. S Town addressed these through a tripartite mechanism: technology-institution synergy, policy network restructuring, and environmental adaptation. Key strategies encompassed modular technology application, flexible data integration, community-driven diffusion for elderly populations, and intergenerational optimization of human capital. Conclusion: The digital-intelligent transformation of grassroots healthcare requires constructing an elastic institutional framework and socially embedded mechanisms to strengthen the deep coupling of technological and governance logics. Governments and grassroots actors should collaboratively advance dynamic adaptation and incremental innovation to bridge digital divides, enhance policy resilience, and improve service effectiveness.

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  • 收稿日期:2025-04-16
  • 最后修改日期:2025-05-23
  • 录用日期:2025-05-23
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