IoT in Healthcare: Reducing EMS Delivery Time Using IoT & Realtime Geospatial Query Engine

The Internet of Things (IoT) represents a network of interconnected digital devices that communicate wirelessly, enabling data collection, transmission, and storage without the need for human interaction. This paper introduces an innovative approach aimed at reducing fatalities resulting from major accidents on Indian roads by minimizing response time. By leveraging IoT devices such as smartphones and smartwatches, their embedded sensors can detect accident events. Utilizing a real-time geospatial search engine, potential nearby support services can be identified based on the accident's location, effectively reducing response time by eliminating idle periods. Furthermore, the paper explores the transformative potential of 5G technology in revolutionizing the system, enabling real-time monitoring of drivers and addressing existing system vulnerabilities. The paper underscores the urgency of implementing this system and thoroughly explores various user scenarios and expected technological behaviors. To enhance scalability and robustness, the integration of AI and machine learning techniques is proposed, facilitating large-scale deployment. Additionally, the paper delves into the constraints associated with implementing this technology and presents potential solutions to overcome them.