The spread of counterfeit pharmaceuticals and the growing interconnectedness of healthcare supply chains all along the world imply the requirement to have strong systems to verify the authenticity of products safety for the patient, and legal adherence. The study presents MediTrustChain a unique platform, and uses artificial intelligence (AI) and blockchain technology to create an open, qualified, and crystal-clear health care ecosystem. MediTrustChain is an AI-based anomaly detection system that combines drug information verification, patient-drug genuineness, as well as the part of decentralized ledger technology, to provide real-time analytics and end-to-end traceability. The system makes it possible for the stakeholders such as manufacturers, distributors, pharmacies, regulators and patients to collaborate and minimize the risks of fake drugs and supply chain incompetence. The effectiveness of the platform to improve data integrity, operational transparency, and accuracy of decision-making is proven by the experimental results. The solution suggested can be viewed as an important step in the field of AI and blockchain use in healthcare assurance because it provides a framework that can be extended to various medical issues.