MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048882 A) filed by V R Lenin; Dr. V. Rajya Lakshmi; Dr. N. Swathi; Mr. D. Mohan Kiran; Mr. M. Abdul Razak; Ms. N. Bhagya Sri; and Mr. M. Shanmukha Rao, Tiruchengode, Tamil Nadu, on April 17, for 'adaptive healthcare advisory system for real-time patient monitoring using ocr.'
Inventor(s) include Dr. V. Rajya Lakshmi; Dr. N. Swathi; Mr. D. Mohan Kiran; Mr. M. Abdul Razak; Ms. N. Bhagya Sri; and Mr. M. Shanmukha Rao.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The smart healthcare systems are now specific in enhancing the medical data analysis and real time monitoring of patients. Traditional healthcare methods use manual interpretation of medical reports and independent monitoring systems that are usually time-consuming and bound to errors. The suggested invention introduces a smart medical advice and diagnostic system, which will combine medical data retrieval, classification, and real-time physiological monitoring within one system. Artificial intelligence techniques like optical character recognition, image processing and speech recognition are used to process multimodal input including voice, images and documents in the system. A microcontroller-contained embedded hardware module along with sensors are used to remotely measure physiological parameters, like body temperature in real time. One of the main characteristics of the system is a context-adaptive fusion mechanism that combines the extracted medical information with sensor data in real-time to dynamically assess the health conditions of patients. The system also promotes healing progression analysis, medication safety assessment, conversational support and location-based healthcare suggestions. In case of the detection of abnormal conditions, users or caregivers are alerted to allow timely medical intervention. The new system is more efficient, less manual analysis would be needed, and the solution offered would be scaleable and reliable to be used in contemporary healthcare applications."
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