Medical Data Processing using IoT and Distributed Computing

Nowadays, the primary goal is integrating various technologies in health care to monitor and track patients' clinical parameters in daily life. Remote patient monitoring applications are gaining popularity as they provide cost-effective healthcare services. Proper data management from these applications is also crucial. Although cloud-based healthcare applications offer numerous solutions for storing patient records and delivering necessary data to all stakeholders, they face challenges related to security, increased response time, and continuous system availability. This research suggests an IoT-based intelligent distributed system for implementing remote healthcare facilities in order to overcome these problems. Our proposed study, various system entities are interconnected using IoT, and a Distributed computing is employed to ensure secure and fast data availability for patients and healthcare workers for decision making, high success rate and reduced computational cost. IoT and distributed computing is utilized to secure patients' medical records. Medical data processing can be sped up, allowing for quicker analysis and decision-making, by dividing computational workloads over several network nodes. Furthermore, distributed computing can handle the complex and demanding nature of medical data processing activities since it provides advantages like fault tolerance and scalability.