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Blockchain is a collection of records and blocks that are integrated using cryptography. Every block consists of certain levels of cryptographic hash for the previous block in the form of a timestamp and the transaction data integral to the transaction record. The blockchain systems have currently used among the various set of industrial information networks. If effectively used, it shall help the system in having more secured levels of development. In this research review, the objective is to understand the gamut of blockchain implementation and to pursue the scope in the usage of the blockchain solutions in healthcare solutions. Review of the literature and data from the case scenario analysis throws light on a certain set of constraints and vulnerabilities of using the blockchain in healthcare which needs attention. Profoundly the constraints are about the quality of nodes verifying the blocks and the anomaly access of information from the blocks. By overcoming such constraints, there will be an improvement of effectiveness with which the system gets implemented.

Numerous academic and industrial research studies have focused on the feasibility of implementing blockchain-based healthcare systems data management that can transform the way data systems functioning, usage, and development can be effective. In this manuscript, the focus is on the development of a Grid-based blockchain structure formanaging the surgical process-related information in integrated systems. Considering the implications, scope of human error in the surgical processes, and the quantum of records integral to such process, the need for having robust records of surgical data is imperative. Aiming at improving the security of the information, in this manuscript, the Grid-block structure constituting multiple grids framework is proposed, which can be optimal for transaction query processing, responsiveness for triggers, and security inheritance. The proposed system, if chosen for real-time implementation, can support interoperability of data among the distinct healthcare systems and support in minimizing the issues of human error inspections, prevention scope for errors whilst improving the quality of healthcare solutions.

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