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R. N. Kalaivani is an Assistant Professor in the Department of Computer Science and Engineering at Velalar College of Engineering and Technology, Erode, Tamil Nadu, India. Her academic interests include computer science, intelligent systems, and emerging AI-enabled applications. She contributes to the application of Agentic AI in remote patient monitoring and intelligent healthcare systems.
Remote Patient Monitoring (RPM) has become a crucial element of contemporary healthcare, facilitating the acquisition of patient health data beyond traditional clinical settings via wearable devices, Internet of Medical Things (IoMT) devices, mobile applications, interconnected medical apparatus, and remote sensing technologies. The amalgamation of Agentic Artificial Intelligence (Agentic AI) with RPM can revolutionise the collecting of health data from a passive approach to an intelligent, adaptable, and purpose-driven healthcare system. Agentic AI systems possess the capability to incessantly monitor physiological data, evaluate temporal health trends, identify any irregularities, access pertinent contextual information, synthesise insights from various data sources, and facilitate suitable healthcare processes. This section delineates the principles and framework of remote patient monitoring systems empowered by Agentic AI.The section underscores the potential of Agentic AI to provide proactive and tailored remote healthcare, while stressing the necessity of clinical supervision, safety, and ethical implementation.