Impact of Artificial Intelligence on the Prediction of Critical Events in Intensive Care Units: Implications for Nursing Practice and Decision-Making
DOI:
https://doi.org/10.47606/ACVEN/MV0270Keywords:
Artificial intelligence, critical event prediction, Intensive Care Units, decision-making, nursingAbstract
Introduction: The advancement of artificial intelligence (AI) has created new opportunities in the healthcare field, particularly in Intensive Care Units (ICUs), where its application enhances the prediction of critical events and optimizes clinical decision-making. Objective: To analyze the impact of artificial intelligence on the prediction of critical events in ICUs and its implications for nursing practice and decision-making, based on a review of recent scientific literature. Materials and Methods: This study employed a qualitative approach through a systematic literature review guided by the PRISMA methodology. Inclusion and exclusion criteria were established to ensure the relevance and quality of the studies analyzed. Research published between 2019 and 2025 was selected from databases such as Scopus. A structured search strategy using Boolean operators was applied to identify studies focused on AI applied to the prediction of critical events in ICUs and its impact on nursing decision-making. Out of 62 documents identified, 12 relevant studies were selected after applying the inclusion and exclusion criteria. Results: The findings show that AI has significantly improved the early detection of critical events, enhanced operational efficiency and supported decision-making processes. Conclusion: The implementation of AI in ICUs faces challenges such as the lack of clinical validation, data standardization, and the need for healthcare staff training.
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Copyright (c) 2025 Joao Andrés Cujilan Guamán, Nicole Elizabeth Chele Sudiaga, Víctor Alfonso Gavilanes Burnhan, Jenny Verónica Tacle Flores, Ruth Alexandra Boza Ruiz
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