A multinational cross-sectional survey on the use of AI-based voice assistance systems in emergency medical services

Background

Emergency medical services (EMS) worldwide face increasing demands that require improvements in efficiency and quality of care. Voice assistance systems (VAS) based on Artificial Intelligence (AI) can support staff in prehospital settings through contactless, intuitive operation. However, evidence regarding their application in EMS is limited but desired. To date, no large-scale study has systematically explored potential functions, user acceptance, or implementation challenges of voice assistance systems in prehospital emergency medicine. This study aimed to explore the possibilities and challenges of designing and implementing a VAS tailored for EMS from a user perspective. Emergency medical personnel from three European countries were invited to share their requirements, expectations, and anticipated obstacles across different systems and countries.