[Exploration of remote management and an intelligent platform for in-hospital respiratory therapy].

The construction of an intelligent remote management platform for respiratory therapy, utilizing artificial intelligence (AI) and the electronic medical record system (EMR), has significant potential to improve the management of respiratory therapy in critically ill patients. This platform includes the development of a dedicated respiratory therapy EMR, the integration of data from multiple mechanical ventilators from different vendors and models, and the utilization of AI-assisted analysis to understand the pathophysiology of respiratory diseases and the complex physiological factors that influence specific interventions, thereby supporting diagnosis, treatment guidance, and prognosis prediction. In addtion, a network will be established to provide seamless connectivity between hospitals and wards. The resulting platform enables the collection of medical device data from multiple points within the hospital, real-time data analysis, and timely alarms, thereby facilitating remote data access, centralization of information, and standardization of data. As a result, the platform enables efficient intra-hospital and inter-hospital doctor-patient management. Despite the benefits offered by this platform, certain challenges need to be addressed, including ensuring data privacy and security, as well as managing the financial and human resources required for its implementation and maintenance. Furthermore, continuous optimization of the platform is crucial, and the clinical use of the platform requires appropriate professional training. 建设基于呼吸治疗电子病历系统，结合人工智能技术的医院呼吸治疗远程管理智慧化平台，有利于提高危重患者呼吸治疗管理水平。医院呼吸治疗远程管理智慧化平台的构建包括建立结构化呼吸治疗电子病历；获取不同品牌、型号呼吸机数据，并与电子病历系统对接；人工智能对呼吸系统疾病病理生理学以及特定干预措施背后的生理学、病理进行分析，辅助诊断、指导治疗并预测预后；构建跨院区、病区远程网络。平台的建立能够实现全院多点呼吸治疗设备数据采集、实时呼吸分析和报警，从而实现数据远程访问、信息集中化、数据标准化，以实现院内、院间医患的呼吸治疗远程管理。利用智慧化平台管理尽管有许多优点，但具体落实仍存在挑战，包括数据隐私和安全方面的潜在问题、实施和维护的财务和人力成本问题，且系统平台需要不断优化，临床使用需要专业培训。.