绘制与护理相关的数字和人工智能技术的研究趋势和能力领域的地图:一本图书识别分析
Kanjanee Phanphairoj1, Wasinee Wisesrith1, Sutthisan Chumwichan2
1Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
International journal of nursing sciences
|February 13, 2026
概括
护理数字和人工智能 (AI) 技术的研究趋势表明,从基本的数字技能转向先进的AI集成和伦理考虑. 这种演变影响了护士教育和实践.
科学领域:
- 护理信息学 护理信息学
- 数字健康数字健康
- 医疗保健中的人工智能
背景情况:
- 数字和人工智能 (AI) 技术的整合正在迅速改变医疗保健.
- 护理实践受到这些技术进步的重大影响,需要了解当前的研究和未来的能力需求.
研究的目的:
- 探索与护理相关的数字和人工智能技术的研究趋势,主题结构和核心能力领域.
- 确定数字时代护士重点和技能发展的关键领域.
主要方法:
- 对来自Scopus,科学网和PubMed.Med的83,807篇同行评审文章 (2015-2025) 的图书统计分析.
- 使用卢温算法和等号相似度进行主题聚类.
- 66篇备受引用的文章的定性综合,以定义核心能力.
主要成果:
- 确定了五个主要的主题集群:远程护理,瘤/息护理,护士教育,安全/质量以及老年/痴呆症护理.
- 确定了四个核心能力领域:远程医疗,健康系统/信息学,数字工具和人工智能决策支持.
- 观察到研究从COVID-19前的基础数字技能转移到流行后的先进人工智能集成和伦理推理.
结论:
- 数字和人工智能技术正在重塑各个领域的护理,朝着人工智能支持的决策和道德技术使用迈进.
- 本研究提供了对不断发展的数字护理能力的结构化概述,以指导未来的研究,课程开发和政策.
- 强调护士必须适应先进的数字工具和人工智能集成.
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