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@article{205829,
        author = {Vineet Rebeiro and Deeksha Pandey and Aditi Jane},
        title = {Artificial Intelligence Integration in Nursing Practice: Transforming Patient Care, Clinical Decision-Making, and Nursing Workflows in the Modern Healthcare Setting},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {8400-8404},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205829},
        abstract = {Artificial intelligence (AI) is rapidly transforming the landscape of modern nursing practice, offering unprecedented opportunities to enhance patient safety, optimize clinical workflows, and support evidence-based decision-making. This review article examines the multifaceted integration of AI technologies—including machine learning, natural language processing, predictive analytics, and computer vision—into nursing practice across hospital and community settings. Using a comprehensive literature review methodology spanning 2018–2024, this article synthesizes findings from 52 peer-reviewed studies and identifies key domains of AI application in nursing: early warning systems, medication management, documentation automation, fall prevention, pressure injury prediction, and patient education. Results indicate that AI-assisted nursing interventions are associated with statistically significant improvements in patient outcomes, including a 28–43% reduction in adverse events and up to 41% decrease in documentation burden. However, ethical challenges, digital literacy requirements, and concerns regarding algorithmic bias remain critical barriers to equitable implementation. This article proposes an evidence-based framework for responsible AI integration in nursing, emphasizing human-centred design, interdisciplinary collaboration, and continuous professional development.},
        keywords = {Artificial Intelligence, Clinical Decision Support, Machine Learning, Nursing Informatics, Patient Safety, Predictive Analytics},
        month = {June},
        }