Intellectual Property India Publishes Patent Application for An Ai-Powered Real-Time Multi-Source Data Fusion Healthcare Mobile Application Based On Patient Severity, Hospital Capability, Real-Time Accessibility, And Emergency Resource Availability With Dual Emergency / Non- Emergency Workflow, Dynamic Criteria Weight Generation, Estimated Treatment Time (ett) Computation, And Data- Envelopment-Analysis Based Performance Assessment — “carequest”

MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641073211 A) filed by Chaitali Dey; Dr. Anita Chaturvedi; Dr. Thenepalle Jayanth Kumar; Dr. Radha Gupta; Dr. Kokila Ramesh; Dr. Suresha Ramareddy; Dr. Priya Sathish; Dr. K J Ghanashyam; Dr. Manoharkumar K N; Prof. Vishwanatha. S; Babihta B. S; and Prof. Swapna Sangeetha P on June 12, 2026, for An Ai-Powered Real-Time Multi-Source Data Fusion Healthcare Mobile Application Based On Patient Severity, Hospital Capability, Real-Time Accessibility, And Emergency Resource Availability With Dual Emergency / Non- Emergency Workflow, Dynamic Criteria Weight Generation, Estimated Treatment Time (ett) Computation, And Data- Envelopment-Analysis Based Performance Assessment — “carequest”.

Inventors include Chaitali Dey; Dr. Anita Chaturvedi; Dr. Thenepalle Jayanth Kumar; Dr. Radha Gupta; Dr. Kokila Ramesh; Dr. Suresha Ramareddy; Dr. Priya Sathish; Dr. K J Ghanashyam; Dr. Manoharkumar K N; Prof. Vishwanatha. S; Babihta B. S; and Prof. Swapna Sangeetha P.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: The invention relates to an intelligent mobile application, designated CareQuest, that recommends to a patient the most suitable multispecialty hospital and books an appointment therewith through a three-stage framework operating in two parallel workflows. The system comprises of a Patient Mobile Device (100); an AI-Based Interactive Interface and Mode Selector (110); a Geographic Filter (115) shortlisting multispecialty hospitals by pin-code/GPS; a Feature Selection and Dynamic Criteria Weight Generator (120) producing a customised weight vector W over thirteen preferred criteria (medical specialisation, quality of care, affordability, waiting time, infrastructure, insurance, accessibility, payment method, doctor availability, hygiene, modern technology, accreditation, reputation); a Multi-Source Data Fusion Engine (130) with Real-Time Traffic Monitor (131) yielding T T , Ambulance Availability module (132) yielding T R , Hospital Capability module (133) yielding T C from bed/ICU data, and Specialist and Resource Availability module (134) yielding T S ; an Estimated Treatment Time Calculator (140) computing ETT = T R + T T + T C + T S per Equation (1) in the Emergency workflow; a DEA-Based Hospital Performance Assessment and Trend Forecaster (150) operative in the Non-Emergency workflow with a trichotomy of continuously well, getting better, or becoming less efficient, and dynamic quarterly/annual recalculation; a Ranked Hospital List Generator (160); an Appointment Booking Module (170); a Patient Feedback and Review Module (180) over wait times, staff conduct, cleanliness, price, satisfaction, and treatment quality; and an Admin Panel (190) for hospital-profile maintenance, DEA recalculation scheduling, review-pattern monitoring, and questionable-review flagging. The present invention ensures unified emergency and non-emergency hospital recommendation, integration of real-time operational fusion with long-horizon DEA performance analytics, patient-specific dynamic weight generation, and continuous feedback-driven improvement of hospital ranking accuracy, thereby decreasing uncertainty in hospital selection, reducing treatment initiation latency in time-critical emergencies, and increasing transparency and accessibility of healthcare for both patient cohorts.

Disclaimer: Curated by HT Syndication.