Blockchain-driven Patient Identity Management for Secure Health Data Exchange in US Cloud Ecosystems

The secure management of patient identity constitutes a major hurdle in cloud healthcare environments, which itself needs to address many risks such as identity theft, data breach, and interoperability restriction. Most of the traditional authentication systems are based on centralized databases, which are subject to cyberattacks and unauthorized users. This work proposes a Blockchain-Enabled Decentralized Identity Verification (BDIV) Algorithm for superior security, privacy, and interoperability in patient data sharing on the basis of permissioned blockchain (Hyperledger Fabric), DIDs, smart contracts, and cryptographic proofs. This tamper-proof identity verification process will maintain patient credentials through a distributed ledger while permitting real-time authentication by means of multi-signature authorization and cryptographic hashing. Smart contracts automatically code the access control in such a way that patient records can be accessed or modified only by authorized parties. AI-enabled fraud detection mechanisms will further strengthen the system, identifying patterns of suspicious access. The results obtained would show that the proposed framework has really proved to be a big sponge in reducing vulnerability to ID fraud, accelerating the speed of authentication, and increasing data integrity compared to traditional systems. The methodology meets all the standards required by HIPAA and HITECH and thus is a very good solution for large-scale secure health data exchange. Future works will be directed toward quantum-resistant encryption and federated learning to further enhance security and privacy in future healthcare infrastructure.