O USO DA INTELIGÊNCIA ARTIFICIAL NO AUXÍLIO DA TRIAGEM DE ADULTOS EM SERVIÇOS DE EMERGÊNCIA
DOI:
https://doi.org/10.47820/recima21.v6i10.6821Palavras-chave:
Inteligência artificial, Medicina de emergência, Classificação de riscoResumo
Objetivo: Analisar, por meio de uma revisão bibliográfica integrativa, como a Inteligência Artificial (IA) pode auxiliar na classificação de risco de pacientes adultos em serviços de emergência, melhorando a eficiência, a precisão e os desfechos clínicos. Método: Foi realizada uma revisão integrativa da literatura nas bases MeSH, DeCs, BVS e SciELO utilizando os descritores "inteligência artificial", "triagem de emergência" e "adultos". Foram incluídos artigos publicados entre 2019 e 2025, em português ou inglês, que abordassem aplicações práticas de IA na triagem com dados quantitativos de desempenho. Resultados: oito estudos foram incluídos na análise final. Os sistemas de IA demonstraram redução significativa no tempo de classificação comparados a métodos manuais, com algoritmos como redes neurais apresentando sensibilidade superior na detecção de casos graves. O modelo KATE obteve 75,9% de acurácia vs. 59,8% de enfermeiros na atribuição de níveis ESI. Sistemas multimodais aumentaram a sensibilidade em 10,94% para detecção de AVC. A IA reduziu o tempo mediano desde chegada até triagem em 33%. Conclusão: A IA mostra-se promissora na otimização da triagem em emergências, potencializando a segurança do paciente e a alocação de recursos. Contudo, sua implementação requer rigor ético, transparência algorítmica e adaptação às realidades locais, sempre mantendo supervisão humana qualificada.
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