Smart Patient Data Management System Using AI, Blockchain, and Secure QR-Based Interoperability
Bishwajeet patel1, Himangshu pramanik2,Prince kumar3, Naveen kumar yadav4
1,2,3,4 UG Student Department of Computer Science and Engineering(IOT & cybersecurity including blockchain),
Sir M. Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India
Dr. Savita Chaudhary5
5 Professor head of Department of Computer Science and Engineering(IOT & cybersecurity including blockchain),
Sir M. Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India
Abstract- 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.
Index Terms—AI in healthcare, blockchain, QR codes, medical data management, electronic medical records, OCR, interoperability, security, Row Level Security (RLS).
