Demonstration of patient transport monitoring system within hospital using mobile IoT technology : a feasibility study = Demonstration of patient transport monitoring system within hospital using mobile IoT technology : a feasibility study

다국어 초록 (Multilingual Abstract)

Objective: During intrahospital transport (IHT), adverse events are inevitable. Real time monitoring can be helpful for preventing these events during IHT. We attempted to determine the viability of risk signal detection using wearable devices and mobile applications during IHT.
Methods: We used two wearable devices to monitor oxygen saturation and heart rate for 23 patients during IHT. 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 intra-class 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 2 patients were delivered over Wi-Fi. The ICC for the heart rate between the two devices was 0.940 (95% confidence interval: 0.939-0.942) and that of oxygen saturation was 0.719 (95% confidence interval: 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: 9 signals for 8 patients with less than 90% oxygen saturation, 4 for 4 patients with a heart rate of 60 or less, and 7 for 5 patients due to network error.
Conclusion: We developed a system that notifies the clinicians of the risk of a patient during IHT using a wearable device and a mobile application. Although there were some problems such as network errors, this paper is meaningful in that the risk detection system was validated with actual patients.