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Triage Nurses' Perceptions of Artificial Intelligence: A Cross-Sectional Study.

Alessandro Ciulli, Leonardo Ceccanti, Flavio Gheri

    Journal of Emergency Nursing
    |March 7, 2026
    PubMed
    Summary

    Triage nurses show cautious optimism towards artificial intelligence (AI) in emergency departments. Older nurses perceive greater challenges, highlighting the need for targeted training and clear governance for AI adoption.

    Keywords:
    Artificial intelligenceEmergency nursingHealth workforcePerceptionTriage

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    Area of Science:

    • Emergency Medicine
    • Health Informatics
    • Nursing Research

    Background:

    • Emergency department (ED) crowding and patient complexity strain traditional triage.
    • Artificial intelligence (AI) offers potential support for ED triage decision-making.
    • Nurse perceptions are critical for the successful adoption of AI in clinical practice.

    Purpose of the Study:

    • To assess triage nurses' perceptions of AI dimensions in emergency departments.
    • To identify challenges and facilitators for AI integration in triage.
    • To explore demographic associations with AI perceptions among nurses.

    Main Methods:

    • A cross-sectional online survey was administered to 84 triage nurses across 7 Italian EDs.
    • The survey evaluated perceptions of AI reliability, applicability, training, relational impact, and safety.
    • Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U, and Welch ANOVA.

    Main Results:

    • Nurses reported positive perceptions regarding relational impact (63.1%) and reliability (48.8%).
    • Concerns were noted for training (36.9%) and safety (36.9%), with a mean of 2.33 total challenges.
    • Older nurses (≥55 years) reported lower positive perceptions for training and higher perceived barriers.

    Conclusions:

    • Triage nurses exhibit cautious optimism towards AI, valuing its potential benefits but concerned about training and safety.
    • Older age is associated with increased perceived barriers to AI adoption.
    • Competency-based education and clear governance frameworks are essential for human-centered AI integration in emergency triage.