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| Construction of a cloud-based remote monitoring system and its clinical application |
| QIAN Xuehua1, XU Honglei2, WANG Xiaorong2, XIA Mengxuan1, ZHOU Qing3, WU Hui4 |
| 1.Department of Information, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China; 2.Department of Intensive Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China; 3.Medical Record Room, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China; 4.Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China |
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QIAN Xuehua,XU Honglei,WANG Xiaorong, et al. Construction of a cloud-based remote monitoring system and its clinical application[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2024, 54(10): 833-838.
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Abstract Objective: To build a remote monitoring system based on cloud platform development that is suitable for multiple application scenarios such as intensive care and anesthesia monitoring, and can simultaneously monitor the conditions of multiple patients in adjacent units within any monitoring unit. Methods:With the aid of modern audio-video transmission technology and digital processing technology, combined with information technology, a remote monitoring system has been developed targeting the uniqueness and requirements of various application scenarios. A retrospective analysis was conducted on the clinical data of 648 patients randomly selected from bed numbers 002, 013, 040, 044 and 045 in the intensive care unit of the First Affiliated Hospital of Wenzhou Medical University from 2020 to 2023, including 437 males and 211 females.The patient data from 2020 were used as the control group without remote monitoring, while the patient data from 2021 to 2023 were divided by year into three observation groups of the remote monitoring system. Statistics were collected on three sorts of catheter-associated infection indicators among patients, including the planned and actual collection times of vital sign data in nursing records, and the response speed of real-time machine monitoring. Data analysis was performed using the R (version 4.2.1) tool. Results: Analysis of the three sorts
of catheter-related infection indicators showed that compared with the control group, there was a statistically significant difference (P<0.001) between the three groups of ventilators and intravascular catheters. The infection rate significantly decreased in 2021, 2022, and 2023. The timeliness of data collection in nursing records improved significantly, with statistical difference (P<0.001). The average response time of the key interface of the system was as fast as within 0.2 seconds. Conclusion: The remote monitoring system based on the cloud platform runs well, effectively saves medical resources, improves medical efficiency and reduces medical costs, thus providing evidence for further promotion and application.
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Received: 01 February 2024
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