MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641116300 A) filed by Dr. Baskar G; Sanjana G; Nithyashree P G; and Prathipa Sriji P on September 29, 2026, for Ai-Driven System And Method For Contact Tracing And Multidrug-Resistant Pathogen Surveillance.

Inventors include Dr. Baskar G; Sanjana G; Nithyashree P G; and Prathipa Sriji P.

The application for the patent was published on October 02, 2026, under issue no. 40/2026.

Abstract: Our invention provides an artificial intelligence-powered contactless digital pathogen tracing and screening tool, named PATHO TRACE, designed for monitoring and controlling Multidrug-Resistant pathogens within hospital environments. The workflow begins with the data collection and input, where hospital staff utilize Quick Response code scanning, patient record inputs, and automated interaction logs to feed real-time staffs, patients details and pathogen information into the system. Once collected, the system initiates data preprocessing and structuring by validating the scan records, converting date and time value into a single consistent format, and mapping out the precise physical relationships between patients and staff within specific hospital wards affected by the pathogen. From there, the contact tracing and network analysis layer builds an interaction profile, analyzing ward co-presence and calculating interaction durations to map out secondary exposure networks. Finally, the visualization and intelligence reporting layer translates this data into a practical conclusion, reconstructing timelines and generating automated infection heatmaps and investigation reports for hospital control teams. Built using a robust software stack comprising Hypertext Markup Language, Cascading Style Sheets, Node.js, Express.js, MongoDB, and Mongoose, this system features a modular design that can seamlessly operate even in low-internet or offline scenarios. By replacing reactive measures with predictive surveillance, PATHO TRACE effectively identifies high-risk exposures within minutes, breaks hidden transmission chains, and drastically reduces Hospital-Acquired Infections. Ultimately, this medical technology innovation lowers overall treatment costs, prevents widespread ward closures, and decreases patient mortality and unnecessary antibiotic usage, directly advancing global standards for health and sustainable clinical innovation. FIG. 1.

Disclaimer: Curated by HT Syndication.