MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611064652 A) filed by Geeta University on May 22, 2026, for Predictive Analytics For Patient Risk: Real-Time Identification And Flagging Of High-Risk Patients.
Inventors include Anuj Mehla; Dr. Neeraj Dahiya; and Mr. Anurag Vashist.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: PREDICTIVE ANALYTICS FOR PATIENT RISK: REAL-TIME IDENTIFICATION AND FLAGGING OF HIGH-RISK PATIENTS Abstract of the Invention The present invention relates to a computer-implemented system and method for real-time prediction and identification of high-risk patients using multimodal healthcare data. The system collects structured and unstructured clinical data, including electronic health records, laboratory reports, clinical notes, and wearable sensor inputs, and processes them using a Time-Aware Transformer-based model capable of handling irregularly sampled time-series data. A multimodal fusion engine integrates heterogeneous data sources to generate a unified patient representation, which is used to compute a dynamic risk score updated in real time. The system further includes an alerting module for identifying high-risk patients and notifying healthcare providers for timely intervention. Additionally, explainable AI techniques and federated learning ensure interpretability and privacy- preserving collaborative training. The invention enables early detection of patient deterioration, improves clinical decision-making, and enhances patient outcomes through continuous, scalable, and adaptive predictive analytics.
Disclaimer: Curated by HT Syndication.
