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中华重症医学电子杂志 ›› 2026, Vol. 12 ›› Issue (01) : 37 -41. doi: 10.3877/cma.j.issn.2096-1537.2026.01.007

专题笔谈

基于慢病呼吸机依赖患者的智慧化呼吸康复平台探索:科技赋能呼吸康复
李绪言1, 刘双林2, 管鲁家1, 童朝晖1,()   
  1. 1 100020 北京,呼吸系统疾病多模态智能诊疗体系北京市重点实验室 首都医科大学附属北京朝阳医院呼吸与危重症医学科
    2 400038 重庆,陆军军医大学第二附属医院呼吸与危重症医学科
  • 收稿日期:2025-08-29 出版日期:2026-02-28
  • 通信作者: 童朝晖
  • 基金资助:
    四大慢病重大专项(2024ZD0530000,2024ZD0530005)

Exploration of an intelligent respiratory rehabilitation platform for patients dependent on ventilators due to chronic diseases: technology empowering respiratory rehabilitation

Xuyan Li1, Shuanglin Liu2, Lujia Guan1, Zhaohui Tong1,()   

  1. 1 Beijing Key Laboratory of Multimodal Intelligent Diagnosis and Treatment System for Respiratory Diseases, Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
    2 Department of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Army Medical University, Chongqing 400038, China
  • Received:2025-08-29 Published:2026-02-28
  • Corresponding author: Zhaohui Tong
引用本文:

李绪言, 刘双林, 管鲁家, 童朝晖. 基于慢病呼吸机依赖患者的智慧化呼吸康复平台探索:科技赋能呼吸康复[J/OL]. 中华重症医学电子杂志, 2026, 12(01): 37-41.

Xuyan Li, Shuanglin Liu, Lujia Guan, Zhaohui Tong. Exploration of an intelligent respiratory rehabilitation platform for patients dependent on ventilators due to chronic diseases: technology empowering respiratory rehabilitation[J/OL]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2026, 12(01): 37-41.

随着慢性疾病(简称慢病)负担加重,呼吸机依赖人群持续扩大,传统康复管理面临数据割裂、路径不连贯及依从性差等问题。本文围绕慢病呼吸机依赖患者的院内外一体化管理需求,探讨智慧化呼吸康复平台的建设思路与实现路径,结合多场景应用,分析其在优化康复流程、提升管理连续性中的作用;并对数据互联互通、标准规范、智慧化应用深度及医患数字化适配等问题进行讨论,以期为相关实践提供参考。

With the increasing burden of chronic diseases, the population dependent on mechanical ventilation continues to grow, while traditional rehabilitation management faces challenges such as fragmented data, discontinuous care pathways, and poor adherence. Focusing on the need for integrated in-hospital and out-of-hospital management for patients with chronic disease who are dependent on mechanical ventilation, this article discusses the development and implementation of an intelligent respiratory rehabilitation platform. Based on its application in multiple scenarios, its role in optimizing rehabilitation pathways and improving continuity of care is analyzed. Current challenges, including data interoperability, standardization, the depth of intelligent application, and digital adaptation of both healthcare professionals and patients, are also discussed, in order to provide a reference for related practice.

图1 智慧化呼吸康复平台的总体框架与运行流程示意图
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