5G-Enabled Remote Healthcare Monitoring for Improved Patient Care

Abstract

The implementation of 5G technology boosts the possibility of the remote monitoring in healthcare to the above and beyond while providing new capabilities like data transmission speed, connectivity, and reliability. The contribution of this study aims to cover the application of 5 G network in healthcare monitoring systems in order to improve patient care, whereby, it considers integration of devices, real time data processing, AI and machine learning, security, scalability and telemedicine. Our approach covers setting up an advanced focus network propose, adopting IoT based health protocols devices, employing edge process, combining with AI purpose of predictive model, and consuming advanced security protocols. Stepping stone trial proved that patient response time, alert accuracy, user satisfaction, as well as data processing performance is greatly enhanced. Implementation AI/ML features increased predictive accuracy and improving capability to detect anomalies thus improving the overall robotic control systems. These results display imposing enhancement in effectiveness, steadiness, and scalability of a system. At the same time, we present this system with the highest level of data security and privacy. Integrative orientation pinpoints 5G-emboldened remote health-care monitoring as one of the major ways to deliver effective and streamlined patient care.