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AI-Driven Environmental Monitoring Systems in Smart Hospitals: Enhancing Patient Outcomes and Sustainable Care
Abstract
The convergence of artificial intelligence (AI), the Internet of Medical Things (IoMT), and advanced environmental surveillance in intelligent hospitals represents a transformative leap in healthcare. Continuing analysis of data on air quality, temperature, humidity, particle levels, and energy consumption optimizes KI-controlled environmental monitoring systems to support sustainable care. These intelligent systems actively identify deviations from optimal environmental conditions, reducing the risk of infection, improving patient comfort and recovery rates, and minimizing energy consumption and waste. Hospitals can utilize real-time views, adaptive controls, and predictions to deliver safer, greener, more cost-effective, and more effective services. This chapter examines key technologies, integration issues, regulatory considerations, and practical implementations worldwide that support these systems. Future discussions on in-depth research and analysis outline the path to an intelligent hospital ecosystem that prioritizes both patient outcomes and environmental responsibility.
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