Peer-reviewed | Open Access | Multidisciplinary
Emergency Medical Services (EMS) face critical challenges in minimizing ambulance response times, where delays can significantly impact patient survival rates. Inefficient route planning, lack of real-time coordination between ambulances and hospitals, and unpredictable traffic conditions often hinder timely emergency responses. To address these issues, this paper presents the Dynamic Health Response Tracker (DHRT), an integrated system combining real-time GPS tracking, artificial intelligence-based route optimization, and a secure communication platform for emergency medical coordination. The DHRT system employs GPS-enabled ambulances that continuously transmit location data to a centralized cloud-based dispatch system. An adaptive routing algorithm processes live traffic feeds, historical congestion patterns, and road network data to dynamically calculate the fastest available routes. A dedicated communication interface allows seamless information exchange between paramedics, hospital staff, and dispatch operators, including automated patient pre-alerts and estimated time of arrival (ETA) notifications. Preliminary simulations in urban environments demonstrate that DHRT reduces average ambulance response times by 22--28% compared to conventional dispatch methods. The AI routing component shows particular effectiveness during peak traffic hours, dynamically rerouting ambulances around congestion points with 92% accuracy. Hospitals reported a 40% improvement in preparedness for incoming critical cases due to the system's real-time status updates. These findings suggest that DHRT could substantially enhance EMS operational efficiency, particularly in time-sensitive emergencies like cardiac arrests and trauma cases. The system's architecture demonstrates scalability for both urban and rural EMS networks, with potential integration opportunities with smart city infrastructure. This research contributes practical insights into how real-time tracking and intelligent routing can transform emergency healthcare delivery when implemented as a coordinated system.
Keywords: Emergency Medical Services (EMS), Ambulance Routing, Real-Time Tracking, AI-Based Optimization, Healthcare Logistics, Emergency Response System