Advancements in Telemedicine: Enhancing Public Health Outcomes through the Implementation of 5G Networks for Ultra Low Latency Communication

Abstract

With the introduction of 5G networks, a new era emerges in telemedicine, dramatically improving public health outcomes with fewer telecommunications networks. The proliferation of 5G communications networks that enable seamless remote access, routine patient monitoring, and expedited treatment on mobile devices is the driving force behind improved patient care and public health risk variety detection and maintenance. High infrastructure costs, wide adoption, and data privacy and security Despite the compelling potential of 5G in telemedicine, some barriers to adoption have been proposed for Integrating Smart Automated Healthcare Analysis (I-SAHA), using artificial intelligence (AI) and machine learning (ML). Using these, I-SAHA can analyze health information as its peak rapidly and reliably, albeit with insights related to diagnosis by physicians and prognosis. In the context of telemedicine in a 5G application, this study investigates the performance of I-SAHA applications through an in-depth simulation analysis. Through its simulation, I-SAHA demonstrates that increased speed and accuracy in remote health assessment can lead to more dynamic, personalized health care. Additionally, 5G networks enable real-time transmission of vital health information to ensure prompt medical intervention with minimal intervention. The results show how telemedicine can benefit from 5G networks and how I-SAHA applications can improve healthcare. This approach has the potential to expand access to better health care by reducing existing barriers and improving public health outcomes through innovative research on telecommunications.