Special needs patients deserve increasingly specialised and secure healthcare supervision as the healthcare environment evolves. Our ground-breaking approach combines deep learning and blockchain security to enhance healthcare recommendations for people with special needs. This novel approach might assist with the difficulties of providing tailored healthcare advice. To get the best results, we mix two efficient technologies. Deep learning allows you to detect specific patterns in large patient datasets. Modern neural networks and algorithms are what power it. In the recommended approach, deep learning insights resulted in 92% accuracy, 89% precision, 94% recall, and a 91% F1 score. Deep learning allows for extremely accurate and customised healthcare suggestions. Special needs individuals need customised treatment regimens due to their specific medical challenges. Blockchain security is critical for ensuring patient data validity and confidentiality. To secure patient data, blockchain technology generates a distributed, immutable ledger and an open, auditable database. Encryption protects data's privacy, prohibiting unauthorised access to patient data. These developments in healthcare advice may increase treatment quality and patient trust in the system. Our analysis showed positive and game-changing findings, with the suggested technique outperforming traditional methods. These results illustrate the system's effectiveness and potential to revolutionise special-needs healthcare. This study reveals that the proposed approach is durable and has the potential to significantly alter healthcare recommendations.