Artificial Intelligence in Healthcare Waste Management: A Narrative Review of Current Applications and Future Prospects

Health Policy and Administration, Faculty of Public Health, Universitas Diponegoro, Semarang, Indonesia

^* Corresponding author: ranitiyas@lecturer.undip.ac.id

Abstract

Effective waste management in healthcare is crucial to ensure patient safety, public health, and environmental sustainability. The escalating volume of medical waste requires innovative, efficient, and sustainable management strategies. Artificial Intelligence (AI) has a significant potential to enhance waste management systems within the healthcare sector. This article aimed to explore the application of AI in healthcare waste management while assessing the associated challenges and opportunities. This study was a literature review using a narrative review approach. AI can be utilized in various aspects of waste management, including automated waste sorting and classification, waste volume prediction, waste collection optimization, and regulatory compliance monitoring. However, its implementation faces challenges, such as limited system integration, insufficient high-quality data, and ethical and regulatory concerns. Collaboration between academia, healthcare practitioners, and policymakers is essential for the development of AI applications for safe and sustainable healthcare waste management.