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An Agentic Approach to Sustainable Environmental Monitoring Systems in Healthcare
Abstract
This chapter explores the transformative role of agentic AI in sustainable environmental monitoring for healthcare. The need for this shift arises from the sector's considerable environmental footprint and the challenge of ensuring contaminant-free spaces vital for patient safety and preventing Healthcare-Associated Infections (HAIs). The chapter introduces the theoretical foundations, architecture, and capabilities of AI agents, highlighting their contribution to “smart healthcare”. A conceptual multi-agent system is then proposed to integrate intelligent agents into sustainable monitoring. The model covers functional requirements such as real-time monitoring and predictive analysis, as well as non-functional ones like scalability, security, and adherence to sustainability principles. The discussion concludes by addressing key technical, ethical, and regulatory challenges that must be overcome to fully harness agentic AI's potential in building proactive, personalized, and environmentally sustainable healthcare ecosystems.
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