MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063585 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'a system and method for medical supply chain tracking and hospital inventory management system.'
Inventor(s) include Senthil Kumar K; Vignesh J; Ram Shankar; Vasanthapriya J; and Jerose Rani D.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Medical Supply Chain Tracking and Hospital Inventory Management System The present disclosure is directed to a system and method for quantum-secured tracking of medical supply chains and predictive management of hospital inventory. The disclosed system includes distributed sensing infrastructure, RFID/NFC sensor tags, environmental telemetry acquisition units, artificial intelligence prediction engines, therapeutic viability computation modules, quantum cryptographic authentication engines, blockchain-assisted traceability interfaces, counterfeit medicine detection modules, and autonomous redistribution optimization systems. The invention continuously monitors pharmaceutical inventory movement, storage conditions, refrigeration continuity and environmental exposure associated with medicines, vaccines, blood units, implants and surgical consumables. The system dynamically calculates a Therapeutic Viability Index by correlating environmental telemetry data with pharmaceutical degradation behavior to determine the usability of medicine. The system also uses predictive analytic models to predict inventory shortages, demand spikes related to epidemics, and urgent care requirements. Further, the invention provides for tamper-proof pharmaceutical authentication and decentralized inventory synchronization to prevent infiltration of false medicine and improve the reliability of health logistics, operational continuity, emergency preparedness, and medical resource optimization in distributed health infrastructures."
Disclaimer: Curated by HT Syndication.
