Although there have been notable technology developments in the healthcare industry, issues with handling data, security, and interoperability still exist. Large volumes of complicated data, such as patient records, diagnostic pictures, treatment histories, and genetic profiles, are produced by the healthcare ecosystem. Although AI has the potential to improve predictive analytics, individualized treatment planning, and enhanced diagnostics, mainstream use is hampered by worries about biases in algorithms, privacy of information, and legacy system integration. Blockchain technology solves problems like security of data, traceability, which is and patient consent by providing a decentralized, impenetrable framework for safe healthcare data transmission. Using multidisciplinary techniques from healthcare informatics, ML, cryptography, user experience, and ethical compliance, this project attempts to create an integrated framework that combines blockchain for safe data governance with AI for intelligent data analysis.