Fan Yong, Liang Hong, Sun Jipeng, Zhang Boying, Zhu Haiyan, Cao Desen, Zhang Zhengbo, He Kunlun
Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing 100853, P. R. China.
Department of Medical Engineering, Chinese PLA General Hospital, Beijing 100853, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Feb 25;40(1):103-109. doi: 10.7507/1001-5515.202211014.
Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.
物联网（IoT）技术在智能医疗中发挥着重要作用。本文讨论了医院急救医疗设备的物联网解决方案。基于云-边-设备架构，连接了不同的医疗设备；流数据在边缘节点进行解析、分发和计算；数据在云节点进行存储、分析和可视化。该物联网系统自2021年1月在急诊科运行以来已稳定运行近20个月。通过对收集到的数据进行初步分析、物联网性能测试以及预警模型的开发，验证了医院急救医疗设备物联网的可行性和可靠性，其能够大规模长时间收集数据，并支持机器学习模型的开发和部署。本文最后展望了急救医疗设备物联网中的医疗设备数据交换和无线传输、医院内外急救设备的连接，以及下一步分析物联网数据以开发急救智能物联网应用。
