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基于物联网的手部卫生合规监测系统及其在医院环境中的有效性验证

IoT-Based Hand Hygiene Compliance Monitoring System and Validation of Its Effectiveness in Hospital Environments.

作者信息

Wu Ju-Yu, Lin Yi-Chun, Lee Shu-Yuan, Chen Cheng-Pin, Cheng Shu-Hsing, Cheng Chien-Yu, Ching Congo Tak Shing, Wang Hui-Min David, Yeh Chu-Chun, Chen Wei J, Chen Wei-Wen, Liao Lun-De

机构信息

Institute of Biomedical Engineering and Nanomedicine National Health Research Institutes 35, Keyan Road, Zhunan Town Miaoli County 350 Taiwan.

Doctoral Program in Tissue Engineering and Regenerative Medicine National Chung Hsing University 145, Xingda Road, South District Taichung City 402 Taiwan.

出版信息

Glob Chall. 2024 Nov 12;8(12):2400124. doi: 10.1002/gch2.202400124. eCollection 2024 Dec.

Abstract

Healthcare-associated infection (HAI) is the most common adverse medical event that affects patients. Internationally, healthcare workers (HCWs) are monitored for hand hygiene compliance to reduce HAI risk. While direct observation is considered the gold standard for monitoring, it has several disadvantages. To address this, the study focused on developing a comprehensive hand hygiene system that integrates the Internet of Things (IoT) hand hygiene with soap and water (HHW) and alcohol-based formulation (HHA) monitoring, incorporates real-time data visualization on a web interface to track HCWs' hand hygiene practices, and provides instant calculations of compliance and accuracy rates. This IoT system uses Bluetooth for HCW positioning and HHW detection, ultrasonic sensors for handwashing duration, and pressure sensors for HHA detection. Furthermore, a cloud server, database, and website are established to manage and display the data received by the IoT devices. To reduce HAI in Taiwan, hospitals must provide both HHW and HHA systems, and HCWs can choose either method when hand hygiene is necessary. The system achieved 72% accuracy in clinical practice within an adult intensive care unit (ICU).

摘要

医疗保健相关感染(HAI)是影响患者的最常见不良医疗事件。在国际上,医护人员(HCWs)的手卫生依从性受到监测,以降低HAI风险。虽然直接观察被认为是监测的金标准,但它有几个缺点。为了解决这个问题,该研究专注于开发一个综合手卫生系统,该系统将物联网(IoT)手卫生与肥皂和水(HHW)以及酒精基制剂(HHA)监测相结合,在网络界面上纳入实时数据可视化以跟踪医护人员的手卫生习惯,并即时计算依从率和准确率。这个物联网系统使用蓝牙进行医护人员定位和HHW检测,使用超声波传感器测量洗手时长,使用压力传感器进行HHA检测。此外,还建立了云服务器、数据库和网站来管理和显示物联网设备接收到的数据。为了在台湾减少HAI,医院必须同时提供HHW和HHA系统,医护人员在需要进行手卫生时可以选择任何一种方法。该系统在成人重症监护病房(ICU)的临床实践中达到了72%的准确率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55e9/11637777/8696c8420746/GCH2-8-2400124-g009.jpg

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