Smart MedDB chain—An intelligent approach for data sharing in medical systems
M. Parimala Devi, Boopathi Raja Govindasamy, Sathya Thandavan, V Gowrishankar, Nithya Savarimuthu · Innovation and Emerging Technologies · 2025
Rapid growth of medical data in both hospitals and healthcare industries has made data handling increasingly challenging. Fast access to relevant medical information in an emergency is essential, but the huge data in databases makes this difficult. The management of data in the public domain is made more difficult by privacy and security concerns, which calls for the creation of a safe data handling system. The primary objective of this research is to propose and implement an intelligent framework, Smart MedDB, for real-time tracking of medical records. The framework highlights privacy and security considerations while addressing the difficulties of managing massive medical databases effectively and providing prompt access to individual patient information. The platform also aims to make e-Token booking with healthcare providers easier and simplify the process of filing health insurance claims. The proposed methodology involves the development and implementation of Smart MedDB, an intelligent framework that employs advanced data handling techniques to ensure quick and secure access to medical records. Patient databases can only be handled or shared by authorized personnel thanks to the integration of authentication measures. Smart MedDB makes use of state-of-the-art protocols and technology to automate the health insurance claim procedure. User experience and system responsiveness are taken into consideration while evaluating the framework’s qualitative capacity to offer rapid and secure access to medical records. The quantity of medical records increased five times, and then the responsiveness and bandwidth of the present medical data handling system increased to 60 seconds and 1,200[Formula: see text]KB. However, the proposed system maintains almost the same level throughout the entire operation since it is stream-based. Metrics including data processing speed, security precautions, and retrieval time are quantified and contrasted with current systems. This framework presents an effective way to expedite medical data access by resolving privacy, security, and efficiency concerns. It ensures prompt and safe retrieval during emergencies and automates associated activities for improved healthcare services.