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Background:
Effective infectious waste management in healthcare facilities is critical to public health and environmental safety.
Objectives:
This study aims to develop and implement a scalable digital dashboard with real-time analytics to enhance infectious waste management. It also evaluates staff knowledge, attitudes, and behaviors (KAB) while monitoring how these factors evolve over time following dashboard implementation.
Methods:
The ADDIE model guided the development of the dashboard. A pre- and post-intervention survey approach was used to assess changes in KAB. Data trends and waste generation rates were analyzed over time, with departmental breakdowns to identify areas for improvement.
Results:
Data from 29 staff members revealed that 79.3% demonstrated high knowledge, 82.76% had positive attitudes, and 89% exhibited effective behaviors. Strong correlations were found between knowledge and attitudes (r = 0.602, p < 0.001) and attitudes and behaviors (r = 0.673, p < 0.001). Over time, post-intervention surveys showed improvements in knowledge retention and behavioral compliance. The dashboard, integrated with IoT and BI analytics, provided real-time tracking, compliance alerts, and waste trend analysis. The study highlights the effectiveness of digital interventions in optimizing infectious waste management and ensuring regulatory compliance.
