Ensuring data integrity and patient privacy in medical research through blockchain hashing and encrypted AI pipelines

It is a medical research project that has a secure and privacy-preserving architecture through blockchain hashing and encrypted AI pipelines. Conventional healthcare data systems are vulnerable to the risks of centralization and data manipulation as well as poor privacy provisions hence cannot be trusted in delicate medical investigations. The suggested system would guarantee the integrity of data through the storage of cryptographic hashes of anonymized medical records in a blockchain where tamper-evident traceability is ensured. At the same time, patient data is stored off-chain and encrypted, safeguarding the identity and retaining the analytical value. The access control is controlled by a smart contract layer where only verified studies can access approved datasets. Medical records are verified by physicians before being included to make the data valid and authentic. The AI models are produced using encrypted and anonymized data to generate research insights without the need to disclose personal data. The architecture provides a solid basis of ethical, transparent, and scalable medical data use that would protect both privacy compliance and reliability of research in future systems based on digital healthcare.