This paper presents a comprehensive approach to securing hospital data by integrating blockchain technology and artificial intelligence (AI). As healthcare organizations increasingly adopt digital solutions, the protection of sensitive patient information has become paramount, especially in light of rising cybersecurity threats and data breaches. Our proposed framework leverages the decentralized and immutable nature of blockchain to enhance data integrity and traceability, ensuring that patient records remain secure and tamper-proof. Concurrently, we employ AI algorithms to analyze access patterns and detect anomalies, providing real-time insights into potential security breaches and facilitating proactive responses. Through a combination of cryptographic techniques and intelligent monitoring, our approach not only safeguards hospital data but also streamlines operations and enhances patient trust. The results of our study demonstrate the efficacy of this dual approach, highlighting its potential to transform data security practices in the healthcare sector and contribute to the development of a more secure and efficient healthcare ecosystem.

cloud storage; attribute-based access control; ciphertext-policy attribute-based encryption; advance encryption standard; blockchain.