基于LDA模型的我国数智化护理研究热点与趋势分析
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科研项目:四川省基层卫生事业发展研究中心2023年立项项目(SWFZ23-Z-06);泸州市科技计划项目(2021-SYF-36);泸州市社会科学界联合会、泸州市社会科学院、泸州市健康社会工作研究中心2023年度健康社会工作研究课题(JK-2023-05)


Analysis of research hotspots and trends of digital and intelligent nursing in China based on the LDA model
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    目的 揭示2020-2025年我国数智化护理研究热点与发展趋势,为我国护理数智化建设提供参考。 方法 检索中国知网、维普网、万方数据知识服务平台及中国生物医学文献数据库中相关核心期刊文献,筛选出3 571篇作为研究对象,运用LDA模型挖掘研究主题,并结合词频分析与可视化处理明确主题结构。 结果 共识别7个研究主题,分别为医院智慧化管理、数智技术辅助照护、慢病管理与术后康复、智慧养老服务、临床决策支持、护理人才培养、健康教育与心理护理。其中智慧管理与技术赋能为核心方向,研究场景由院内向院外延伸,循证决策与能力建设逐渐受到关注,而以患者为中心的心理护理与健康促进相对薄弱。 结论 我国数智化护理研究呈现多维拓展与交叉融合态势, 未来应进一步完善护理伦理治理体系、健全院内外协同的延续护理服务,加强护理人工智能人才培养,推动技术创新与人文照护深度融合,全面推进护理数智化建设。

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    Objective To identify research hotspots and development trends of digital and intelligent nursing in China from 2020 to 2025, and to provide references for the advancement of digital and intelligent nursing in China. Methods Relevant articles published in core journals were retrieved from CNKI, VIP, Wanfang Data Knowledge Service Platform, and China Biology Medicine Database.A total of 3,571 articles were selected as the research samples.The LDA model was applied to extract research themes, complemented by term frequency analysis and visualization techniques to clarify thematic structures. Results Seven topics were identified, including smart hospital management, technology-assisted care, chronic disease management and postoperative rehabilitation, smart elderly care services, clinical decision support, nursing talent development, and health education and psychological nursing. Smart management and technical empowerment emerged as the core research directions.The research settings are expanding from within hospitals to outside.Evidence-based decision-making and capacity building have gradually attracted attention, while patient-centered psychological nursing and health promotion are relatively weak. Conclusion Research on digital and intelligent nursing in China is characterized by multidimensional expansion and interdisciplinary integration.Future efforts should focus on improving nursing ethical governance frameworks, improving the collaborative continuous nursing service both inside and outside the hospital, enhancing training of nursing professionals in artificial intelligence, promoting the deep integration of technological innovation and humanistic care, and thereby comprehensively advancing the development of digital and intelligent nursing.

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郑志靖,张湘聆,刘鑫宇,林敏,鞠梅.基于LDA模型的我国数智化护理研究热点与趋势分析[J].护理学杂志,2026,41(17):99-103+108

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  • 收稿日期:2026-04-04
  • 最后修改日期:2026-06-10
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  • 在线发布日期: 2026-10-09