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

Area of Science:

• Medical Informatics
• Infection Control
• Internet of Things (IoT)

Background:

• Healthcare-associated infections (HAIs) are a significant patient safety concern.
• Monitoring healthcare worker (HCW) hand hygiene compliance is crucial for reducing HAIs.
• Direct observation, the traditional monitoring method, has notable limitations.

Purpose of the Study:

• To develop and evaluate a comprehensive IoT-based hand hygiene monitoring system.
• To integrate both hand hygiene with soap and water (HHW) and alcohol-based formulation (HHA) monitoring.
• To provide real-time data visualization and compliance rate calculations.

Main Methods:

• Developed an IoT system utilizing Bluetooth for HCW positioning and HHW detection.
• Incorporated ultrasonic sensors for measuring handwashing duration.
• Integrated pressure sensors for HHA detection and established a cloud server with a web interface for data management and visualization.

Main Results:

• The IoT system successfully monitored both HHW and HHA practices.
• Real-time data visualization and compliance calculations were achieved.
• The system demonstrated 72% accuracy in a clinical setting within an adult intensive care unit (ICU).

Conclusions:

• The developed IoT system offers a viable alternative to direct observation for monitoring hand hygiene compliance.
• This technology can aid hospitals in reducing healthcare-associated infections by improving hand hygiene practices.
• The system's integration of multiple monitoring technologies provides a comprehensive approach to hand hygiene surveillance.