Evaluation of an Artificial Intelligence-Based System for Standardized Hand Hygiene Monitoring Among Operating Room Personnel
Fei Wang, Dong-Mei Bian, Qian WangObjective
This study developed an artificial intelligence (AI)-based hand hygiene assessment system to improve low-supervision monitoring, enhance compliance in operating rooms, standardize procedures, and reduce the risk of intraoperative infections.
Methods
This system installed high-definition cameras, faucets, and hand sanitizer sensors in the operating room handwashing area to collect real-time data on handwashing videos, water flow sounds, duration of water usage, and hand sanitizer consumption. The system automatically identified health care personnel and monitors compliance with surgical handwashing protocols step-by-step, assessing whether procedures were standardized and duration requirements were met. Upon detecting omissions, sequence errors, or insufficient duration, immediate corrections were provided through visual and auditory prompts on the screen. The system automatically recorded all data throughout the process without requiring on-site supervision, ensuring stable adaptation to both routine operating room scenarios and emergency surgical procedures.
Results
Experimental findings demonstrated that the system achieved a handwashing step recognition rate of 94.57%, an assessment accuracy rate of 93.25%, and a handwashing duration compliance rate of 92.68%. When deployed in clinical environments, including surgical and emergency departments, the system significantly improved handwashing compliance, increasing the adherence rate to 94.2%. Additionally, the average handwashing duration was reduced to 45.7 seconds, accompanied by a substantial decrease in non-compliant behaviors.
Conclusion
The AI-based hand hygiene assessment system substantially enhanced the standardization and efficiency of handwashing procedures in operating rooms, significantly improved hand hygiene compliance and standardized practice, and demonstrated strong clinical applicability. Future research should focus on optimizing the model and incorporating feedback mechanisms to further improve the accuracy and user experience of the system.