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Chinese Journal of Critical Care Medicine(Electronic Edition) ›› 2025, Vol. 18 ›› Issue (03): 177-181. doi: 10.3877/cma.j.issn.1674-6880.2025.03.001

• Original Article •    

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 Online:2025-06-30 Published:2025-08-11
  • Contact: Yuanqiang Lu

Abstract:

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.

Key words: Intelligent hospital wards, Primary hospitals, The elderly with disability, 5G-augmented reality remote collaborative diagnosis and treatment

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