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中华危重症医学杂志(电子版) ›› 2025, Vol. 18 ›› Issue (03) : 177 -181. doi: 10.3877/cma.j.issn.1674-6880.2025.03.001

论著

基层医院智慧化病房医疗服务模式的创新实践与发展路径
陆璇, 姜久昆, 陆远强()   
  1. 310003 杭州,浙江大学医学院附属第一医院急诊科、全省理化与增龄损伤性疾病诊治研究重点实验室
  • 收稿日期:2025-05-18 出版日期:2025-06-30
  • 通信作者: 陆远强
  • 基金资助:
    国家重点研发计划项目(项目编号:2023YFC3603100;课题编号:2023YFC3603105); 浙江省"尖兵领雁+X"研发攻关计划资助项目(2024C03030)

Innovative practice and development path of intelligent ward medical service model in primary hospitals

Xuan Lu, Jiukun Jiang, Yuanqiang Lu()   

  1. Department of Emergency Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine; Provincial Key Laboratory of Diagnosis and Treatment of Physical, Chemical and Age-related Traumatic Diseases, Hangzhou 310003, China
  • Received:2025-05-18 Published:2025-06-30
  • Corresponding author: Yuanqiang Lu
引用本文:

陆璇, 姜久昆, 陆远强. 基层医院智慧化病房医疗服务模式的创新实践与发展路径[J/OL]. 中华危重症医学杂志(电子版), 2025, 18(03): 177-181.

Xuan Lu, Jiukun Jiang, Yuanqiang Lu. Innovative practice and development path of intelligent ward medical service model in primary hospitals[J/OL]. Chinese Journal of Critical Care Medicine(Electronic Edition), 2025, 18(03): 177-181.

本研究探讨了基层医院智慧化病房医疗服务模式的创新实践与发展路径,重点介绍了国家重点研发计划项目"主动健康和人口老龄化科技应对"专项下的研究内容。针对高龄失能人群的医疗需求,项目构建了"三维需求响应"理论模型,从患者、机构和区域三个维度设计智慧化病房系统,融合智能监测、机器人辅助和人工智能(AI)诊疗等技术,实现低功耗、低依赖、低门槛和低成本的"四低"特性。创新服务模式包括5G-增强现实(AR)远程协同诊疗、智能机器人照护和数据驱动的精准医疗,显著提升了基层医院的诊疗效率和协同能力。项目将通过30家示范医院的实践,验证标准化建设流程和可持续运营机制的可行性,为基层医疗智慧化转型提供可复制的经验,助力健康老龄化目标的实现。

This article discusses the innovative practice and development path of the intelligent ward medical service model in primary hospitals, and focuses on the research content under the national key research and development program of "active health and scientific response to population aging". In view of the medical needs of the elderly disabled population, the project constructed a theoretical model of "three-dimensional demand response", designed an intelligent ward system from the three dimensions of patients, institutions and regions, and integrated intelligent monitoring, robot assistance and artificial intelligence (AI) diagnosis and treatment technologies to achieve the "four-low" characteristics of low power consumption, low dependence, low threshold and low cost. Innovative service models include 5G-augmented reality (AR) remote collaborative diagnosis and treatment, intelligent robot care and data-driven precision medicine, which significantly improve the diagnosis and treatment efficiency and the collaboration ability of primary hospitals. Through the practice of 30 demonstration hospitals, the project will verify the feasibility of standardized construction process and sustainable operation mechanism, provide reproducible experience for the intelligent transformation of primary medical care, and help achieve the goal of healthy aging.

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