AI and blockchain technologies in healthcare data management provide significant hurdles, particularly in data security, integrity, and analysis. Cloud computing in healthcare is growing, thus present rules must be strict. AI improves data management by allowing advanced analysis, while blockchain, an immutable and decentralized data ledger, solves administrative issues. This study integrates the two technologies to handle cloud data access and security issues using a framework. Blockchain's immutability and decentralization safeguard data, while AI's instant processing effectively manages it. The author examined various publications on blockchain and artificial intelligence in commerce to explain healthcare data issues such data breaches and unlawful data acquisition. Blockchain offers many benefits, however its memory requirements and data fetching time are drawbacks. To simplify data management and retrieval, healthcare-specific blockchain technologies and artificial intelligence are perfect. The ledger, consensus, shared contract, and encryption elements of this system provide data management and integrity. Data management is ensured by cutting across categories. Scalability tests reveal that the framework supports 10,000 nodes and processes data in 15 s, whereas the other solution takes 30. Initial findings show that anneas AI affects data and ensures its validity and security. Blockchain and artificial intelligence can tackle data management issues.