Abstract:

Remote access of diagnosis, monitoring, and treatment functions of health care services is called Telemedicine and it is rapidly developing to become an integral part of modern medicine. In the wake of the pandemic focusing on global health challenges, Telemedicine triaged traditional forms of providing health care services. The continuous transmission of patient health data is referred to as Medical Telemetry, which is the heart of telemedicine. Modern telemetry systems have a high latency, are unreliable, vulnerable from data security perspectives, and have limited capabilities when it comes to real time decision making. Hyper-Connected Telemetry Systems are a potential solution to these issues. Furthermore,  propose a next-generation telemetry framework that incorporates IoT devices, edge computing, AI, and blockchain technology. Real-time patient data collected by smart medical devices is analyzed and processed locally at Edge nodes. AI drives on-site analytics, supporting site surveillance, abnormality spotting, and illnesses foreseeable monitoring. Moreover, Blockchain technology enhances indisputable management and sharing of data among medical practitioners. Such frameworks accelerate the growth of these services while improving privacy and efficiency. In the future, I aim to deploy these infrastructures for clinical validation and optimize advanced AI algorithms alongside new security protocols specially designed for medical telemetry systems.