MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202631124630 A) filed by C. V. Raman Global University on October 17, 2026, for An Integrated Artificial Intelligence Based Web Platform For Verified Healthcare Information, Symptom Guidance And Appointment Management.
Inventors include Sayoni Samal; Prithvi Pandey; Shimron Beero; Smruti Mohanty; Ritikesh Parida; Barsha Shaw; and Debanjan Mukherjee.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: An integrated artificial intelligence based healthcare web platform is disclosed that provides verified medical information, symptom based preliminary guidance, disease and drug information, hospital and doctor discovery, appointment booking, personalized nutrition guidance and preventive health education within a single browser based dashboard. A symptom analysis engine normalises user symptom input through tokenisation and lexicon mapping, classifies the resulting canonical symptom identifiers against a verified medical knowledge base using a trained model, and generates a ranked, non-diagnostic output with a recommended care level. A safety layer evaluates the symptom identifiers against a deterministic emergency rule table before any probabilistic output is shown, and upon a match suppresses the ordinary output and displays an escalation alert with emergency contacts and nearby hospitals. Knowledge base records carry source and version metadata and are published only after review. An appointment booking module places temporary holds on provider time slots to prevent double booking. A user profile database with encryption and role based access control supports personalized features while preserving privacy. The platform consolidates several fragmented services into one secure environment, improving the accessibility, reliability and efficiency of healthcare information for individuals and institutions. The accompanying drawings illustrate the system architecture and the symptom analysis workflow.
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