AUTHOR
Ainhoa Cacho Antolín
KEY WORDS
Artificial Intelligence, triage, A&E department, nursing
ABSTRACT
Introduction. Artificial intelligence (AI) is progressing in supporting triage in emergency departments, improving the speed and accuracy of care for critical patients. Even though there are challenges, the use of AI complements clinical judgement and optimises safety and efficiency in care.
Goal. The main goal of the study was to analyse the effectiveness of artificial intelligence systems in the triage process carried out in emergency departments.
Methodology. A systematic review was conducted that included studies published in the last five years, with adult participants treated in the emergency department, to evaluate the use of AI in clinical triage. The databases consulted were PubMed, Scopus, EBSCOhost and Cochrane. In addition, the Elicit tool was used to support the search and selection of articles.
Results. Fourteen articles were analysed that showed improvements in diagnostic accuracy, reduced waiting times and provided greater support for decision-making in nursing. Despite the positive results, some limitations were identified, as well as the need to continue refining these tools.
Conclusions. Artificial intelligence improved the accuracy and efficiency of triage in emergency departments, especially in identifying critically ill patients. It was valued as a complementary tool to clinical judgement, with the potential to improve care.