A Unified Framework for Secure Healthcare Data Sharing: Integrating Federated Learning, Blockchain, and Quantum Cryptography

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As the demand for secure and efficient data sharing in healthcare continues to grow, there is a pressing need for innovative solutions that ensure data privacy, integrity, and accessibility in multiple institutions. This study proposes a unified framework that integrates three cutting-edge technologies, federated learning, blockchain, and quantum cryptography, to address the complex challenges of secure data sharing in the healthcare sector. Federated learning enables decentralized data analysis by maintaining sensitive patient information locally, significantly reducing the risk of data breaches. Blockchain technology adds an immutable and transparent ledger to securely track data exchanges, ensuring compliance with stringent data governance standards. Quantum cryptography enhances the security of data transmission using quantum mechanics principles to prevent unauthorized access and guarantee the confidentiality of shared information. The proposed framework successfully combines these advanced technologies to fortify the security of healthcare data sharing. Promote collaborative analysis while maintaining patient privacy, leading to better patient outcomes and fostering greater trust among healthcare providers. By synergizing federated learning, blockchain, and quantum cryptography, the proposed framework represents a significant advance in secure healthcare data sharing. Not only does it address the urgent need for data security, it also supports global collaboration necessary to tackle healthcare challenges on an international scale.