MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113298 A) filed by Ajay Kumar Garg Engineering College on September 22, 2026, for A Clinician-Feedback-Driven Adaptive Priority Ranking System And Method For Tele-Consultation Queues.
Inventors include Anuj Kumar; Ishi Jain; Ishan Agarwal; Kirtika Sharma; and Krishna Bansal.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: A system (100) and method (200) for adaptively prioritizing patient cases within tele-consultation queues are disclosed. An urgency scoring engine (104) generates an urgency score and confidence value per case, combined by a composite ranking engine (106) with an elapsed wait-time term to compute a bounded priority score governing an adaptive priority queue (110). A clinician dashboard (112) presents the ranked queue together with a feature-level explanation generated by an explainability layer (114). Upon case resolution, a structured feedback capture module (116) records a categorical clinician judgment, which a bounded weight- recalibration engine (118) uses, subject to predetermined clipping and rate-limiting, to update the ranking engine's weighting parameters, persisted auditably in a repository (122). Unlike automated or reinforcement-learning-driven adaptive triage, recalibration here derives exclusively from direct clinical judgment, closing an explain-judge-recalibrate loop that improves accuracy while preventing starvation and instability. Representative Figure: FIG. 1.
Disclaimer: Curated by HT Syndication.
