Design a Blockchain Based Security Algorithm for IoT based Healthcare

Healthcare applications have made extensive use of smart contracts to ensure the safe and decentralized management of patient data, track medication adherence, and streamline the processing of insurance claims. Blockchain-based decentralized healthcare applications have the potential to significantly alter the healthcare system as we know it. A system's ability to offer high-quality services to its end customers is quantified by its QoS. Availability, dependability, performance, and security are all examples of Quality of Service concerns that may arise in the healthcare industry. The QoS is evaluated by how well it meets the needs of its customers. The accurate determination of QoS during medical data processing utilizing sophisticated measurement methods is a crucial criterion for healthcare applications. When providing medical treatment, it is often necessary to explain complicated concepts to patients. Therefore, it is crucial to maintain rigorous requirements for public network security and intelligence. Objective of research is enhancing the quality of service in blockchain for healthcare. Quality of service (QoS) in smart contracts, however, is essential to the widespread adoption of these technologies. Current studies on smart contracts have taken into account service quality and traditional healthcare solutions. In this research, we provide a unique method for improving QoS of healthcare smart contracts. To ascertain the state of the art and locate already established answers or methods, we have reviewed the aforementioned literature. In order to assess the efficacy of our strategy, we have devised a study question and specified our methodology. The conclusions of our study demonstrate that our method may greatly enhance the QoS of healthcare smart contracts, leading to better patient outcomes and lower overall costs. Simulation work is considering packet dropping rate, file size and accuracy. It is observed that proposed approach is providing more than 94% accuracy where as conventional approach provided accuracy of below 92%. On other hand, proposed approach has reduced the file size from 10% to 40%. Thus the packet delivery ratio of proposed work is 91% to 95 % that is 90% to 94% in case of conventional work.