护理实践和教育中的人工智能:对趋势,差距和新兴前沿的10年图书统计分析
Walaa Badawy1, Mostafa Shaban2, Haithm Zinhom3
1Clinical Psychology, College of Education, King Khalid University, Abha, Saudi Arabia.
Nurse education in practice
|September 16, 2025
概括
全球关于人工智能 (AI) 在护理方面的研究显示出显著的增长,从信息学扩展到实践和教育. 未来的工作应该专注于人工智能素养,道德和结果评估,以负责任地将人工智能纳入护理.
科学领域:
- 护理 护理 护理
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能在医学中的应用正在研究中,但护理的整合是有限的.
- 图书统计绘制澄清了护理研究轨迹和优先事项.
研究的目的:
- 进行全球人工智能在护理研究 (2014-2024) 的文献分析.
- 识别 AI 护理研究中的出版趋势,有影响力的贡献者和新兴主题.
主要方法:
- 描述性的文献计量研究分析了来自Web of Science,Scopus和PubMed/MEDLINE的2225篇出版物 (2014-2024年).
- 使用VOSviewer进行的共同作者,共同引用和关键字共同出现分析.
- 协调的同义词和优先级的作者关键词,以进行全面的分析.
主要成果:
- 年度出版物从2014年的38本增加到2024年的563本.
- 顶级期刊:CIN:计算机,信息学,护理; 在实践中的护士教育. 领先的国家:美国,中国,加拿大.
- 关键主题从护理信息学发展到人工智能素养,道德,教育,预测分析和决策支持.
结论:
- 护理研究中的人工智能已经超越了信息学,进入实践,教育和治理领域.
- 未来的研究应该优先考虑结果评估,课程整合和道德框架.
- 将人工智能与护理的关系价值观相结合,对于负责任的整合至关重要.
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