Published Paper Details:

Ambulance response times are frequently significantly delayed in metropolitan settings due to heavy traffic and traffic accidents, which has a detrimental effect on patient outcomes during emergencies. In order to improve the efficacy and efficiency of emergency medical services, the Intelligent Ambulance system incorporates cutting-edge traffic management technology along with real-time health monitoring. The creation and implementation of an intelligent ambulance system that continuously monitors vital signs such blood oxygen levels, temperature, air pressure, and heart rate using MAX30100 and BMP180 sensors is presented in this study. Through a specialized app, these measurements are securely communicated to medical staff, enabling real-time patient assessment and readiness. The system uses RFID technology to manage traffic lights, allowing ambulances to travel through green corridors in order to reduce delays caused by traffic. In order to ensure quick and secure patient transport, the ambulance driver app offers real-time traffic information and optimized navigation routes. The findings show that critical patients have higher survival rates and shorter average reaction times. Doctors who responded to the poll also stated that real-time data transfer improved their level of readiness. The system architecture, implementation difficulties, and important effects on emergency response effectiveness are covered in this study. Expanding deployment, collaborating with other emergency services, and utilizing artificial intelligence for predictive analytics are some of the next possibilities to be pursued. An excellent example of how IoT and RFID technology may revolutionize emergency medical services and eventually improve patient outcomes and save lives is the Intelligent Ambulance system.