Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis

The Internet of Medical Things (IoMT): It is changing the healthcare sector in various ways by coupling the crucial aspects of IoT to monitor and diagnose patients remotely. Existing literature regarding IoMT applications has identified the high security vulnerabilities, unrealized real-world implementations, poor scalability, and high latency, but there are no proposed solutions to these challenges. It presents a robust Internet of Medical Things (IoMT) architecture which is real-time, secure, scalable, and enables remote health monitoring. By leveraging edge computing, AI, and blockchain-based security, the framework improves data privacy, reduces latency, and increases energy efficiency. In contrast to earlier studies that discuss specific conditions, the current work generalizes IoMT applications for a variety of ailments, enabling personalized healthcare solutions through artificial intelligence (AI)–driven analytics. In addition, the proposed system is designed to be interoperable such that it supports seamless integration across different IoT healthcare devices. Using predictive analytics, this system facilitates early disease detection and preventative healthcare action, fostering better patient outcomes and fewer hospital visits. This study also presents the design of an energy-efficient IoMT network to prolong the lifetime and viability of IoMT devices. In conclusion, this research expands on the future of remote healthcare by providing solutions to the scalability, privacy and real-time decision-making challenges, thereby developing an IoMT system that is robust, future-proof and adaptable to smart healthcare applications.