MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631017969 A) filed by C. V. Raman Global University, Bhubaneswar, Orissa, on Feb. 18, for 'proactive remote health outbreak intelligence platform (p.r.h.o.i.p.).'
Inventor(s) include Likuna Swain; Satya Prakash Rout; Ch. Saipriya Patra; B. Pawan Kumar; Arpeet Barik; Ardhendu Sekhar Sahoo; and Prof. Sukanta Kishor Bisoy.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "A comprehensive system for proactive identification of waterborne disease outbreaks using realtime multi-modal anomaly detection in remote areas. The system comprises an offline-first mobile application for field workers, integrated with cloud-based machine learning engine processing health and environmental data, utilizing Isolation Forest algorithms. The platform enables distributed data collection from decentralized sources with intelligent feature engineering creating composite temporal and spatial attributes. A tiered alerting mechanism generates prioritized notifications based on anomaly severity and geospatial clustering, enabling proactive intervention. The system uses serverless cloud infrastructure for scalability, supports local language interfaces for accessibility, implements automatic synchronization protocols managing network interruptions. The invention demonstrates significant improvements in early outbreak detection compared to reactive surveillance systems, providing faster notification to authorities, enabling targeted resource allocation in resource-constrained settings, improving population health outcomes in rural areas. The system is particularly suited for developing regions with limited health surveillance infrastructure, intermittent connectivity, and high waterborne disease burden, addressing critical gaps in existing disease surveillance technology."
Disclaimer: Curated by HT Syndication.
