Blockchain-Based Secure Multiple Computation Scheme (Bsmpcs) for Preserving and Extraction of Health Care Data

Privacy protection for electronic health records is becoming an issue that the general public is becoming more and more interested in. The increasing use of virtual currencies like Bitcoin has led to the development of blockchain technology, which possesses the qualities of "decentralization" and "immutability." Current EHR management systems priorities safeguarding user privacy information above the security risks that occur when patients engage with several roles. As of right now, there is no sufficient solution to the problem of insurance companies accessing confidential patient information and violating their privacy. As the number of reported data breaches that threaten the current system rises, users' privacy is called into question because of personal data that third parties manage and obtain in large amounts. This study offers a block chain-based solution to all of the aforementioned problems. The paper proposes a blockchain-based framework to address privacy concerns in electronic health record systems. It specifically applies the decentralized, immutable qualities of blockchain to secure data against unauthorized access. The use of smart contracts for EHR management is relatively novel, as it allows interactions with insurance companies without exposing sensitive data. This contribution should highlight why smart contracts are better suited for this use case compared to existing mechanisms. The application of homomorphic encryption ensures that the system can process encrypted data without decrypting it. This allows computations (such as insurance claim verifications) to be performed on encrypted data, preserving privacy. The BSMPCS system is a new framework that could potentially combine these technologies into a unified solution. The paper should emphasize how this is different from existing EHR management systems and what makes it more secure and privacy-preserving. Using Bitcoin smart contract technology and homomorphic encryption, we create the feature with BSMPCS that allows the insurance company to decide whether to execute insurance requests even in the absence of a way to get the ID and the plaintext of the EHR. As a consequence, during communication, no private patient information would be revealed to uninvited parties, improving user dataprivacy and security.