MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089063 A) filed by Ms. Dhanalakshmi; Suhaina. M; Harini. S; Pavithraa. S; Jeshika Thadheyus. T; and Aafrin. E on July 22, 2026, for Novel System, Design And Method Integrated Iot And Ai- Driven Emergency Medical Response And Resource Coordination System.
Inventors include Ms. Dhanalakshmi; Suhaina. M; Harini. S; Pavithraa. S; Jeshika Thadheyus. T; and Afrin. E.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: 6. ABSTRACT OF THE INVENTION The patent disclosure covers Novel System, Design and Method of Integrated IOT and Al -Driven Emergency Medical Response and Resource Coordination System. Rapid and intelligent emergency medical response is vital for decreasing mortality caused by, and delayed detection. The proposed patent, "Integrated loT and Al-Driven Emergency Medical Response and Resource Coordination System," presents a smart healthcare framework that combines real-time communication, cloud computing, GPS technology, artificial intelligence (Al), and Internet of Things (loT) devices into a single emergency response architecture. The system continuously collects physiological data from wearable health sensors, smart medical devices, car telematics, ambient sensors, and mobile applications. An Al-powered analytics engine that handles real-time health monitoring, emergency severity prediction, anomaly detection, and intelligent decision-making receives the gathered data securely via loT communication networks. When a medical emergency is detected, the system automatically creates alerts, tracks the patient's current location, finds the closest ambulance, evaluates traffic, and suggests the best hospital based on ICU bed availability, medical specialists, and healthcare resources. Through a centralized cloud platform, the suggested system also facilitates smooth coordination between emergency control centers, hospitals, police departments, fire and rescue teams, ambulance services, and disaster management authorities. While predictive analytics helps medical personnel make quicker and more precise treatment decisions, Al-driven route optimization reduces ambulance trip time. The system also stores secure electronic medical records, emergency logs, and resource utilization information utilizing encrypted cloud storage and authenticated access control mechanisms to preserve patient privacy and data integrity. The proposed patent offers an effective, scalable, and dependable next-generation emergency medical response system that is appropriate for hospitals, government healthcare agencies, disaster management organizations, ambulance networks, and remote healthcare services. It does this by combining loT-based real-time monitoring, Al-powered emergency prediction, intelligent resource coordination, and secure cloud-based communication
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