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. 2025 Jul-Aug;50(4):195-200.
doi: 10.1097/NNE.0000000000001851. Epub 2025 Apr 1.

Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review

Maggie Mee Kie Chan  1 , Abraham Wai Him Wan, Daphne Sze Ki Cheung, Edmond Pui Hang Choi, Engle Angela Chan, Janelle Yorke, Lizhen Wang
Affiliations

Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review

Maggie Mee Kie Chan et al. Nurse Educ. 2025 Jul-Aug.

Abstract

Background: Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulation phases remains limited.

Purpose: To map AI applications across prebriefing, simulation, and debriefing phases in nursing simulation education.

Methods: Following Arksey and O'Malley's framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines, we searched PubMed, CINAHL Complete, EMBASE, Scopus, and Web of Science (2015-2024) using terms related to nursing students, simulation, and artificial intelligence Studies were included if they involved prelicensure nursing students, AI-integrated nursing simulation education, and were peer-reviewed English publications. Data were charted using the population, concept, context framework.

Results: Analysis of 14 articles revealed AI applications in prebriefing (chatbots; n = 2), simulation (virtual environments; n = 11), and debriefing (feedback; n = 1). Benefits included standardization and personalized learning, while challenges involved technical limitations and faculty readiness.

Conclusions: AI shows potential in enhancing nursing simulation education through standardized learning experiences but requires structured faculty support and evaluation methods.

Keywords: clinical competency; digital technology; educational innovation; machine learning; virtual learning environment.

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Conflict of interest statement

The authors declare no conflicts of interest.

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