哮喘管理正从门诊间断评估为主的传统模式，转向以连续监测、动态预警、分层干预和结局追踪为核心的精准管理模式。呼吸物联网以智能吸入器、家庭肺功能检测、脉搏血氧仪、可穿戴设备、环境传感器、移动终端和云平台为主要载体，可将“病房、门诊、社区与家庭”形成完整的服务网络。白春学团队关于元宇宙医学、医学新质生产力、BAIMGPT（白氏医学GPT）的研究，为“多源感知-智能分析-数字人交互-质量控制-闭环执行”路径提供了具有中国语境特色的理论与技术框架。本文围绕呼吸物联网在哮喘病房监测、慢病管理及医院-社区-家庭协同中的应用，系统综述其在哮喘精准监测与闭环管理中的研究进展、现实困境与未来路径，以期为呼吸专病连续照护体系建设提供参考。

Asthma management is shifting from the traditional model based predominantly on intermittent outpatient assessments toward a precision management model centered on continuous monitoring, dynamic early warning, stratified intervention, and outcome tracking. The Respiratory Internet of Things (Respiratory IoT), leveraging intelligent inhalers, home pulmonary function testing, pulse oximeter, wearable devices, environmental sensors, mobile terminals, and cloud platforms as its primary components, creates an integrated service network connecting hospital wards, outpatient clinics, community settings, and home environments. Research conducted by Professor Bai Chunxue's team on metaverse medicine, new-quality productivity in medicine, and BAIMGPT (Bai's Medical GPT) provides a theoretical and technical framework with distinct Chinese contextual characteristics，supporting the workflow of "multi-source sensing, intelligent analysis, digital human interaction, quality control, and closed-loop execution." This paper systematically reviews the application of the Respiratory IoT in inpatient asthma monitoring, chronic disease management, and hospital-community-home collaboration, summarizing research progress, practical challenges, and future directions for precision monitoring and closed-loop management in asthma, with the aim of informing the development of a continuous and integrated care system for respiratory diseases.