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作 者:张山 刘璐 吴瑛[1] Zhang Shan;Liu Lu;Wu Ying(School of Nursing,Capital Medical University,Beijing 100069,China)
出 处:《中华现代护理杂志》2025年第13期1754-1759,共6页Chinese Journal of Modern Nursing
基 金:国家自然科学基金(72304196)。
摘 要:目的描述人工智能在危重症护理领域中的研究热点及发展趋势,为护理人员应用智能化技术辅助护理工作提供依据。方法以Web of Science核心合集数据库为数据源,检索时间为建库至2024年3月。采用CiteSpace 6.3.R1软件对纳入文献进行分析。结果最终纳入210篇文献,发文量最多的国家是美国(86篇),发文量最多的机构是哈佛大学医学院(8篇);文献共被引最多的期刊为Journal of the American Medical Association;出现频次最多的关键词为机器学习;研究热点包括疾病风险预测、辅助临床护理决策、应用效果评价和智能化技术探索;研究前沿围绕结局、医疗保健、实施和护理教育。结论人工智能在危重症护理领域的研究正日益受到关注,未来研究人员可继续探索人工智能对于患者临床结局的影响,以及提高护士对于人工智能知识的掌握程度,为更好地应用智能化技术辅助护理工作提供参考。Objective To describe the research hotspots and development trends of artificial intelligence(AI)in the field of critical care nursing,providing evidence for nursing staff to apply intelligent technology to assist nursing work.Methods The Web of Science Core Collection database was used as the data source,with a search period from the inception of the database to March 2024.The CiteSpace 6.3.R1 software was used to analyze the included articles.Results A total of 210 articles were included.The country with the highest number of publications was the United States(86 articles),and the institution with the most publications was Harvard Medical School(8 articles).The journal most frequently cited was the Journal of the American Medical Association.The most frequently mentioned keyword was machine learning.The research hotspots included disease risk prediction,clinical nursing decision support,application effect evaluation,and exploration of intelligent technology.The research frontier was focused on outcomes,healthcare,implementation,and nursing education.Conclusions The research on AI in critical care nursing is receiving increasing attention.Future researcher can continue to explore the impact of AI on clinical outcomes for patients and improve nurses'understanding of AI knowledge.This will provide reference for better application of intelligent technology to assist nursing work.
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