The predominant responsibilities carried out all over the data life cycle, including data acquiring, processing, retrieval, and storage, have described the data management. Blockchain-based data management is outlined in healthcare to provide patients dominance over their data. Their consent permits patients and hospital authorities to control who has access to their data and track who has accessed it. For data processing, intelligent contracts-based data-processing-friendly architecture had designed. Finally, as far as data storage is concerned, data storage time, accuracy, and energy consumption remain the primary concern to be focused and this work proposes a novel method called Logarithmic Merkle Quantum-based Legendre Quadratic (LMQ-LQ) IoT-generated healthcare extensive data analysis using Blockchain. The LMQ-LQ process splits into four sections: First, a peerto-peer network constructs using Blockchain Logarithmic Merkle Tree. Second, the distributed ledger form using the Post Quantum function with the constructed tree. Third, Legendre Quadratic Residue's consensus mechanism design with valid IoT-generated big data. Finally, an intelligent contract model shoots up automatically upon the execution of a transaction. The performance results of the proposed LMQ-LQ IoT generated healthcare extensive data analysis using Blockchain are evaluated in terms of data storage time, data storage accuracy, and energy consumption, respectively.

Big Data, Internet of Things, Blockchain, Logarithmic Merkle Tree, Post Quantum, Distributed Ledger, Legendre, Quadratic Residue, Consensus mechanism