IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CRITICALLY ILL NURSING CARE
INTEGRATIVE REVIEW
DOI:
https://doi.org/10.48075/vscs.v11i1.36621Abstract
Objective: to identify how Artificial Intelligence (AI) tools have been implemented in intensive care nursing care. Methods: an integrative literature review was carried out, with searches in the Web of Science, Embase, MEDLINE, PubMed , Cinahl , SciELO , LILACS and BDENF databases. Studies published between 2014 and 2024, in Portuguese, English and Spanish, that addressed the use of AI in nursing care in ICUs were included. Results: of the 4,308 studies identified, five met inclusion criteria. Most were retrospective observational studies (60%) and used neural networks. The analysis of the studies revealed that AI has been used to predict clinical complications, automate care tasks, and improve diagnostic accuracy. However, challenges such as difficulties in system interoperability, the need for professional training, and ethical concerns still need to be overcome. Conclusion: AI has significant potential to optimize nursing practice in ICUs, but its implementation still faces technical and organizational barriers. Additional research is needed to evaluate the effectiveness of these technologies and develop guidelines to ensure their safe and efficient application.