THE USE OF ARTIFICIAL INTELLIGENCE IN ASSISTING ADULT TRIAGE IN EMERGENCY SERVICES
DOI:
https://doi.org/10.47820/recima21.v6i10.6821Keywords:
Artificial intelligence; Emergency triage; Emergency medicine; Health technology; Machine learning; Risk classification.Abstract
Objective: To analyze, through an integrative bibliographic review, how Artificial Intelligence (AI) can assist in risk classification of adult patients in emergency services, improving efficiency, accuracy and clinical outcomes. Method: An integrative literature review was conducted in MeSH, DeCs, VHL and SciELO databases using the descriptors "artificial intelligence", "emergency triage" and "adults". Articles published between 2019 and 2025, in Portuguese or English, addressing practical applications of AI in triage with quantitative performance data were included. Results: Eight studies were included in the final analysis. AI systems demonstrated significant reduction in classification time compared to manual methods, with algorithms such as neural networks showing superior sensitivity in detecting severe cases. The KATE model achieved 75.9% accuracy vs. 59.8% for nurses in ESI level assignment. Multimodal systems increased sensitivity by 10.94% for stroke detection. AI reduced median time from arrival to triage by 33%. Conclusion: AI shows promise in optimizing emergency triage, enhancing patient safety and resource allocation. However, its implementation requires ethical rigor, algorithmic transparency and adaptation to local realities, always maintaining qualified human supervision.
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