基于移动物联网技术的医院内病人转运心肺监测系统研究卡塔尔世界杯8强波胆分析观察性验证研究%A Lee,Jang Ho %A Park,Yu Rang %A kwon,Solbi %A Kim,Seulgi %A Ji,Wonjun %A Choi,Chang-Min %+蔚山大学医学院峨山医学中心肺脏与重症医学科，汉城松坡区43号街88号奥林匹克路，05505，大韩民国，82 2 3010 5902ccm@amc.seoul.kr %K可穿戴设备%K患者安全%K院内运输%K血氧饱和度%K心率%K移动应用%K实时监测%D 2018 %7 14.11.2018 %9 JMIR Mhealth Uhealth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。当血氧饱和度低于90%、心率高于140次或低于60次/分钟(bpm)以及网络错误时，会向临床医生发出警报。我们验证了通过网络传输的风险信号的可靠性。方法:采用两种可穿戴设备监测23例住院患者的血氧饱和度和心率，用于诊断检查或康复。为了确定设备之间的一致性，将每4秒收集一次的记录进行匹配，如果两个设备同时没有收集记录，则进行imputation。我们使用类内相关系数(ICC)来评估两种设备之间的关系。 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. %M 30429115 %R 10.2196/12048 %U http://mhealth.www.mybigtv.com/2018/11/e12048/ %U https://doi.org/10.2196/12048 %U http://www.ncbi.nlm.nih.gov/pubmed/30429115