Blockchain-Based AI for Secure Healthcare Data Sharing and Analytics
Abstract
The healthcare industry is increasingly adopting AI for data-driven decision-making, but concerns about data privacy and security remain significant barriers. This paper proposes a blockchain-based AI framework for secure healthcare data sharing and analytics. By leveraging blockchain, we create a decentralized and immutable ledger that securely stores patient data and ensures that only authorized parties can access it. AI models are then applied to this data to provide insights into patient care, treatment efficacy, and population health trends. Smart contracts enforce data access policies and automate consent management, ensuring compliance with regulations such as GDPR and HIPAA. Our evaluation shows that the blockchain-based AI framework not only enhances the security and privacy of healthcare data but also improves the accuracy of AI-driven analytics by providing a trustworthy data source. This approach offers a scalable solution for integrating AI into healthcare while safeguarding patient information.
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References
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