@文章{信息:doi/10.2196/12048，作者=“Lee, Jang Ho and Park, Yu Rang and Kweon, Solbi and Kim, Seulgi and Ji, Wonjun and Choi, Chang-Min”，标题=“使用移动物联网技术的医院内患者运输心肺监测系统:观察性验证研究”，期刊=“JMIR Mhealth Uhealth”，年=“2018”，月=“11”，日=“14”，卷=“6”，数=“11”，页=“e12048”，关键词=“可穿戴设备;病人安全;intrahospital运输;血氧饱和度;心率;移动应用程序;背景:院内运输过程中，不良事件不可避免。实时监测有助于在院内运输过程中预防这些事件。目的:我们试图确定在院内运输过程中使用可穿戴设备和移动应用程序检测风险信号的可行性。如果血氧饱和度低于90%，心率高于140次或低于60次/分钟(bpm)，以及网络错误，则向临床医生发送警报。 We validated the reliability of the risk signal transmitted over the network. Methods: We used two wearable devices to monitor oxygen saturation and heart rate for 23 patients during intrahospital transport for diagnostic workup or rehabilitation. To determine the agreement between the devices, records collected every 4 seconds were matched and imputation was performed if no records were collected at the same time by both devices. We used intraclass correlation coefficients (ICC) to evaluate the relationships between the two devices. Results: Data for 21 patients were delivered to the cloud over LTE, and data for two patients were delivered over Wi-Fi. Monitoring devices were used for 20 patients during intrahospital transport for diagnostic work up and for three patients during rehabilitation. Three patients using supplemental oxygen before the study were included. In our study, the ICC for the heart rate between the two devices was 0.940 (95{\%} CI 0.939-0.942) and that of oxygen saturation was 0.719 (95{\%} CI 0.711-0.727). Systemic error analyzed with Bland-Altman analysis was 0.428 for heart rate and --1.404 for oxygen saturation. During the study, 14 patients had 20 risk signals: nine signals for eight patients with less than 90{\%} oxygen saturation, four for four patients with a heart rate of 60 bpm or less, and seven for five patients due to network error. Conclusions: We developed a system that notifies the health care provider of the risk level of a patient during transportation using a wearable device and a mobile app. Although there were some problems such as missing values and network errors, this paper is meaningful in that the previously mentioned risk detection system was validated with actual patients. ", issn="2291-5222", doi="10.2196/12048", url="http://mhealth.www.mybigtv.com/2018/11/e12048/", url="https://doi.org/10.2196/12048", url="http://www.ncbi.nlm.nih.gov/pubmed/30429115" }