Time Patient Monitoring Through Edge Computing: An IoT-Based Healthcare Architecture

Abstract

The integration of Internet of Things (IoT) and edge computing technologies represents a transformative advancement in healthcare systems, particularly in the domain of real-time patient monitoring. This comprehensive analysis investigates the architectural framework, implementation strategies, and clinical impact of edge computing in healthcare settings. Through detailed examination of system architectures, performance metrics, and clinical outcomes, we demonstrate how edge computing fundamentally transforms traditional healthcare monitoring paradigms. The study synthesizes findings from major research initiatives and clinical implementations, providing insights into system optimization, security frameworks, and resource utilization strategies. Our analysis reveals that edge-based healthcare monitoring systems significantly improve response times, enhance resource utilization, and maintain robust security while enabling more sophisticated patient care approaches. These improvements contribute to better clinical outcomes, reduced operational costs, and enhanced healthcare service delivery capabilities.