Artificial Intelligence Applications in Nursing: A Bibliometric Analysis

Abstract

Objective: This bibliometric analysis aimed to shed light on future research and offer a new perspective by examining the use of artificial intelligence in nursing from a broader perspective. Methods: The Web of Science database was used to identify the relevant studies. Studies containing the keywords "artificial intelligence", "machine learning" and "nursing" (n=32) were included. While scanning, only studies in English and Turkish were considered, and only studies published between 2000 and 2023 were evaluated. Results: According to the publication years, 5 studies were conducted in 2019, 7 in 2020, 6 in 2021, 6 in 2022 and 5 in 2023. The main topics of the studies were management information systems, critical care, and oncology. Roschelle Fritz was identified as the most prolific author. The Journal of Nursing Management had the highest number of publications. Most artificial intelligence research in nursing has been conducted in the United States. Conclusion: Despite the recent growth, studies on artificial intelligence applications in nursing remain limited. To address healthcare challenges, organizations should support artificial intelligence research and integrate it into nursing education to enhance innovation and improve patient care.

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