Smart Patient Data Management System Using AI, Blockchain, and Secure QR-Based Interoperability

Abstract—Healthcare ecosystems still suffer from fragmented clinical records, manual and error-prone data entry, and insecure data exchange between stakeholders such as hospitals, pharmacies, and insurance providers. This paper presents the design and implementation of a Smart Patient Data Management System that integrates Artificial Intelligence (AI), blockchain, and secure QR-based interoperability. The proposed system provides a unified patient-centric platform that supports AI-powered OCR and natural language processing (NLP) for digitizing medical documents, automatic form filling for hospital workflows, virtual prescription management, and medication expiry tracking. A permissioned blockchain is used to secure audit trails, verify prescription authenticity, and record data access events in an immutable manner, while encrypted, time-bound QR codes enable fast but privacy-preserving sharing of patient records. The system is implemented using a modern web and mobile stack with role-based access control (RBAC) enforced both in the application layer and in the database via Row Level Security (RLS). A security review and iterative hardening process were conducted, addressing issues such as privilege escalation, insecure QR scanning, and AI impersonation. The resulting platform demonstrates that combining AI, blockchain, and QR-based identities can significantly improve security, interoperability, and usability in patient data management.