The integration of A revolutionary approach to healthcare systems that use Integrating blockchain technology with hybrid deep learning approaches may improve security, scalability, and patient care. When it comes to storing, distributing, and controlling access to data, blockchain offers a decentralised, transparent architecture that guarantees data integrity, privacy, and interoperability. Hybrid deep learning allows for the efficient and accurate analysis of complicated healthcare data by integrating standard machine learning techniques with deep learning algorithms. This research recommends a permissions-based blockchain design for secure and scalable healthcare systems to guarantee that only permitted individuals may access and modify vital health records. In addition to allowing for the prediction of diseases, treatment suggestions, and prompt diagnoses, the framework allows for the real-time study of massive amounts of healthcare data. Better scalability, security, interoperability, and decision-making are just a few of the many advantages that may be gained by merging hybrid deep learning with blockchain technologies. Complicating factors that must be addressed for implementation to be successful include computational complexity, compliance with regulations, and ethical considerations. With the use of blockchain technology and hybrid deep learning, healthcare institutions can streamline data administration, provide patients with more individualized treatment, and advance medical research. This will allow them to surpass previous limits.