A Meta-heuristic-based Scheduling of Transactions for Medical Blockchain Systems

When medical information and documents are exchanged outside of the secure medical facilities networks, patient' privacy is at risk. This can compromise biomedical studies, patients privacy, and all other medical stakeholders' data. Therefore, blockchain is more and more adopted as infrastructure for Electronic Medical Records Management Systems (EMRMS) to address secure data sharing, access management and critical data handling issues. In this paper, we consider the problem of reducing transactions scheduling delays in blockchains as a main issue impacting the performances of EMRMS. We suggest a novel approach that aims to design a structured and weighted queue of transactions request that can promote differentiated level of service for requested transactions. A logical scheduling strategy based on a hybridization of the Genetic Algorithm and the Variable Neigh-borhood Search (VNS) algorithm for scheduling transactions is also proposed.