MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063553 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on May 20, for 'a system and method for real-time patient monitoring using iot-enabled medical devices.'
Inventor(s) include Srinivasa Galu K; Mohanraj P; Deepa Sundareswaran; Fabiola M Dhanraj; and Victor Devasirvadam.
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: "The present disclosure relates to a system and method for real-time patient monitoring, generative predictive healthcare intelligence, and autonomous clinical risk orchestration using IoT-enabled medical devices integrated with artificial intelligence, federated learning, edge computing and digital twin-assisted physiological simulation. The disclosed system includes a plurality of sensing modules adapted to continuously acquire physiological, behavioral, environmental and contextual healthcare telemetry related to monitored patients. The system further includes a self-healing sensor validation framework configured to detect unstable sensing conditions, reconstruct corrupted healthcare telemetry, and autonomously re-calibrate sensing pathways. A federated physiological digital twin engine continuously generates patient-specific physiological models for predictive deterioration forecasting and organ-stress analysis. The disclosed invention further performs behavioral-health correlation analytics, predictive multi-organ deterioration assessment, edge-based emergency orchestration, adaptive clinical workflow coordination, and blockchain-assisted medical integrity validation. The invention provides resilient, privacy preserving, scalable and predictive healthcare management across distributed healthcare infrastructures."
Disclaimer: Curated by HT Syndication.
