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Artificial intelligence to improve patient care in emergency medicine: a workflow-based analysis
Francesco Franceschi1, Prabakar Vaittinada Ayar2, Taj Hassan3
1Emergency Department, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy. francesco.franceschi@unicatt.it.
Internal and Emergency Medicine
|November 14, 2025
Summary
Artificial intelligence (AI) offers potential benefits in emergency medicine, from pre-hospital patient transport to in-hospital decision support. Further discussion is needed to balance AI
Area of Science:
- Health Sciences
- Emergency Medicine
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is increasingly impacting health sciences, including emergency medicine.
- AI applications span pre-hospital and in-hospital care settings.
Purpose of the Study:
- To explore the applications of AI in emergency medicine.
- To discuss the potential benefits and risks of AI in this field.
- To highlight the need for physician consensus on real-world AI implementation.
Main Methods:
- Review of current AI applications in emergency medicine.
- Discussion of potential benefits in patient transportation and in-hospital management.
- Identification of risks associated with AI implementation.
Main Results:
- AI can potentially improve pre-hospital patient transport and in-hospital decision-making (e.g., image analysis, predictive scoring).
- Current studies are often small-scale or pilot studies.
- Potential risks of AI application may outweigh benefits if not carefully managed.
Conclusions:
- AI presents intriguing possibilities for emergency medicine.
- A clear discussion among emergency medicine physicians is necessary to define optimal AI applications.
- The goal is to maximize benefits while minimizing risks in real-world settings.
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