The Intelligence Ambulance Bridging AI and Human Interaction Technologies
P. Supreeth*, B. Nithin*, N. Rishith*, V. Suhan Reddy*, Mr. Radhe Shyam Panda#
*Department of CSE (AI & ML), CMR Engineering College, Hyderabad.
#Assistant Professor, Department of CSE (AI & ML), CMR Engineering College, Hyderabad.
Abstract: The field of emergency medical services (EMS) has undergone significant advancements over the years, with a focus on improving response times, patient care, and overall outcomes. The integration of artificial intelligence (AI) and human interaction technologies into ambulances represents a transformative approach to enhance emergency medical care. The background encompasses the evolution of EMS, the rise of AI in healthcare, and the potential for synergies between technology and human interactions in emergency situations. Historically, ambulances have primarily been vehicles equipped with basic life support equipment and staffed by paramedics and emergency medical technicians to provide initial care during transportation to a medical facility. Communication with hospitals and the processing of patient information be manual and time-consuming. The traditional system is lack of real-time data analysis capabilities and decision support tools that AI can offer in emergency situations. The problem at hand is optimizing emergency medical responses and care through the integration of AI and human interaction technologies within ambulances. This involves addressing challenges such as quick and accurate diagnosis, communication between emergency responders and healthcare facilities, and the provision of real-time medical information to enhance decision-making. The goal is to create a seamless, intelligent, and responsive system that improves patient outcomes during critical moments. The need for the intelligence ambulance arises from the recognition that leveraging AI and human interaction technologies can significantly enhance the efficiency and effectiveness of emergency medical services. In critical situations, quick and accurate decision-making is crucial, and the integration of intelligent systems can provide valuable support to healthcare professionals. This approach can also improve communication, data sharing, and coordination between ambulances, hospitals, and other healthcare entities.
Keywords: AI, data sharing, EMS, Human Interaction, ML Algorithms.
