Nurses’ perceptions of artificial intelligence (AI) integration into practice: An integrative review

Introduction: The integration of artificial intelligence (AI) technologies into health care is revolutionising nursing practice, substantially impacting patient care, clinical decision-making and health system efficiency. This integrative literature review explores the perceptions, attitudes and concerns of nurses regarding the use of AI use in clinical settings. Review methods: A comprehensive literature search was undertaken using Health Source: Nursing/Academic Edition, EBSCO: MEDLINE Complete, CINAHL and Scopus. Search terms included ‘artificial intelligence’, ‘AI’, ‘A.I.’, ‘machine learning’, ‘nurse’ and ‘nursing practice, and ‘opinion’, ‘idea’, ‘insight’, ‘perspective’, ‘concern’ and ‘perception’. The terms were combined using Boolean operators (AND, OR) to refine the search. ‘Citing forward’ was also used in Scopus to search for newer literature that was relevant to the topic. Discussion: Findings reveal that AI technology capabilities, such as predictive analytics and robotic automation, are viewed positively for their potential to enhance workflow efficiency and improve patient outcomes. However, nurses show concerns about ethical implications for data privacy, and the potential deskilling of human expertise. The review emphasises the needfor comprehensive training programs, strong organisational support and an innovative culture to facilitate the successful use of AI in nursing practice. Conclusion: Future directions stress the significance of AI competency, collaboration and continuous education to prepare nurses for their progressing practice in a technologically advanced health care environment. Appreciating the importance of these factors is vital for promoting a collaborative and innovative atmosphere, enabling nurses to effectively and efficiently utilise AI to improve patient care and advance the nursing profession.