AI for Chronic Disease Management: A Remote Monitoring and Predictive Analytics Approach
Authors:-Nagendra Kumar
Abstract-: In the evolving landscape of modern management, the integration of Remote Monitoring and Predictive Analytics (RMPA) has revolutionized how organizations operate, strategize, and make decisions. With the growing reliance on digital technologies, data-driven tools are becoming vital in managing operations, workforce, equipment, and customer interactions. Remote Monitoring (RM) enables real-time oversight of various assets and processes from a distance, minimizing the need for physical intervention. Simultaneously, Predictive Analytics (PA) harnesses historical and real-time data using machine learning and statistical models to forecast future events and inform strategic actions. This review explores the convergence of RM and PA as a comprehensive management approach, applicable across diverse sectors including healthcare, manufacturing, IT, and infrastructure. It discusses how these technologies enhance efficiency, reduce costs, ensure safety, and drive proactive decision-making. By analyzing current applications, benefits, limitations, and future directions, this article provides a detailed understanding of the role of RMPA in modern management practices. The sections delve into the architecture of remote monitoring systems, data analytics frameworks, sector-specific implementations, challenges, ethical implications, and innovations shaping this domain. The review concludes with reflections on the transformative potential of RMPA and recommendations for sustainable and scalable integration into business ecosystems.
