Artificial intelligence in prehospital emergency care systems in low- and middle-income countries: cure or curiosity? Insights from a qualitative study
Qualitative analysis reveals key factors impacting AI's effectiveness in prehospital care in LMICs, indicating the need for focused implementation strategies.
Key Points
AI deployment can improve prehospital emergency care in low- and middle-income countries, addressing health inequities.
High-quality and representative data are essential for effective AI models, as shown in the thematic analysis of emerging insights.
Resource gaps hinder AI implementation in LMICs, highlighting the need for targeted support and investment.
Human-centred design principles must be integrated for improved acceptance and utilization of AI technologies in emergency care.