Harnessing generative AI (Gen AI) in healthcare: transformative implications for nursing education

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dc.contributor.advisorNarnaware, Raj
dc.contributor.advisorNeumeier, Melanie
dc.contributor.authorMann, Taij
dc.contributor.authorBurden, Sarah
dc.contributor.authorUkrainetz, Kiara
dc.date.accessioned2025-10-24T17:24:34Z
dc.date.available2025-10-24T17:24:34Z
dc.date.issued2025
dc.descriptionPresented on April 17, 2025, at Student Research Day held at MacEwan University in Edmonton, Alberta and on May 21-25, 2025, at HAPS 2025 39th Annual Conference, Pittsburgh, PA, United States.
dc.description.abstractThe implication of Artificial Intelligence (AI) in teaching and learning human anatomy in medicine, allied health and nursing disciplines is highly debated but remains unclear. Our study aims to explore the extent and capacity that AI has been incorporated in the teaching and learning in nursing education compared to medicine and allied health disciplines. Qualitative analysis using databases such as CINAHL, PubMed, BNI, and Google Scholar related to AI use was conducted in our study. Our findings will explore current applications, identify research gaps, and highlight opportunities for advancing AI in nursing education
dc.identifier.urihttps://hdl.handle.net/20.500.14078/4089
dc.language.isoen
dc.rightsAll Rights Reserved
dc.subjectArtificial Intelligence (AI)
dc.subjectallied health and nursing disciplines
dc.subjectqualitative analysis
dc.subjectnursing education
dc.titleHarnessing generative AI (Gen AI) in healthcare: transformative implications for nursing educationen
dc.typeStudent Presentation

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