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Paradigm Shift: A Systematic Review of Integrating Artificial Intelligence in Nursing Education
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Amani Abualrahi, Sakna Habobi, Shereen Almutar, Farha Al-Khwaildi, Maryam Alalq, Rouqayah bomurah, Zainab Abdrabalnabi , Eman Al-habib, Fatimah Al-Mahdi, Fatimah Al-Sadah
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American Journal of Nursing Research. 2024 12 (3). doi: 10.12691/ajnr-12-3-2
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Keywords: Artificial intelligence, Healthcare, Machine learning, Natural language processing, Nursing education
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Context: Artificial intelligence is rapidly evolving field, particularly in nursing education, where it can enhance learning and clinical decision-making. This systematic review synthesized evidence from 441 studies identified through databases like CINAHL EBSCO, Ovid Medline, and PubMed, focusing on impactful research from 2019 to 2024. After screening and applying inclusion and exclusion criteria, 9 studies were included. Two main themes emerged: the advantages and opportunities AI presents in nursing education, and the disadvantages and challenges it poses. While AI holds transformative potential, its effective integration requires strong infrastructure, ethical considerations, and active student involvement. Additionally, a significant knowledge gap in AI among nurses was noted, highlighting the need for targeted educational programs to enhance AI understanding and competencies.
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