Artificial intelligence in the prehospital setting – potentials, challenges, and practice-relevant fields of application in emergency medical services
Prehospital emergency medicine is a high-risk environment where time-critical decisions must be made under adverse conditions. Artificial Intelligence (AI) holds the potential to enhance patient care through data-driven decision support. This narrative review analyses current and emerging AI applications within emergency medical services and evaluates their impact on the quality dimensions defined by Donabedian (structural, process, and outcome quality). It is intended for paramedics and clinicians in the prehospital setting and aims to encourage further engagement with AI in emergency medical services to reduce cognitive load and ultimately improve patient outcomes.
https://link.springer.com/article/10.1186/s44398-026-00027-8
Prehospital emergency medicine is a high-risk environment where time-critical decisions must be made under adverse conditions. Artificial Intelligence (AI) holds the potential to enhance patient care through data-driven decision support. This narrative review analyses current and emerging AI applications within emergency medical services and evaluates their impact on the quality dimensions defined by Donabedian (structural, process, and outcome quality). It is intended for paramedics and clinicians in the prehospital setting and aims to encourage further engagement with AI in emergency medical services to reduce cognitive load and ultimately improve patient outcomes.