MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133537 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on Dec. 30, 2025, for 'a system and method for telemedicine consultation and data synchronization.'
Inventor(s) include Pandiyan K R; Selva Kumar; Dhanalakshmi V; and Thephilah Cathrine R.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Telemedicine Consultation and Data Synchronization The current patent application provides a system and method for telemedicine consultations and secure data synchronization. The system includes an "Edge Health Node" or platform for acquiring and preprocessing data about physiological data. The system is also comprised of a "Contextual Consultation AI Engine" that includes triage and specialist management solutions, and a federated learning module that stores existing diagnostic training without compromising user privacy. The system includes a blockchain synchronization layer to ensure verifiable recordkeeping with non-falsifiable and non-repudiable records. The system includes an "Adaptive Video Consultation Optimizer" that attempts to provide stable communication despite commodity network variable conditions and usage for video and chat. The system also includes a "Cross-Platform Data Harmonizer" that integrates with existing health data systems. The system includes a "Biometric Authentication and Consent Manager" that operates with real-time biometric capture and management. The method dynamically executes real-time tele-consultation, while maintaining encrypted data transfer, and takes advantage of hardware and software synchronization of real-time data, and tools derived from existing records. The invention also achieves real and tangible technical effects of latency reduction, specificity of accurate data validation, and secure and auditable communication of international healthcare users, such as clinicians, and their patients, resulting in a novel and technical advancement in telemedicine protocol and use of recommendation tools."
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