Chatbots and AI Systems for Pre-Hospital Care

Abstract

Introduction: Using chatbots and artificial intelligence (AI) systems in pre-hospital care has transformed patient triage, initial support and emergency logistics. These technologies offer speed and effectiveness in critical situations and are promising tools for improving health outcomes. Methods: This study was based on a literature review in PubMed, Scopus and IEEE Xplore databases, between 2015 and 2023. Articles that explored the use of chatbots and AI in emergency triage, first aid and logistics management were selected. Qualitative analysis synthesized the practical and theoretical contributions of these systems. Results: Chatbots and AI have proven effective in automated triage, reducing response times and improving diagnostic accuracy in medical emergencies. AI systems have optimized ambulance logistics and resources, while chatbots have provided practical guidance on first aid, such as CPR. However, challenges such as unequal access to technology, cultural resistance, and ethical issues related to privacy have been identified. Discussion: These technologies have a positive impact on pre-hospital care by providing rapid and effective support, especially in remote areas. However, technological and ethical barriers limit their adoption. Cultural acceptance and user trust, combined with appropriate regulations and training, are essential to overcome these obstacles. More accessible and integrated systems represent a promising prospect. Conclusion: Chatbots and AI are revolutionizing emergency care, offering accuracy, speed, and accessibility. While challenges remain, coordinated efforts in research, infrastructure, and regulation can ensure their ethical and efficient implementation, enhancing their ability to save lives and transform pre-hospital care.