基于CiteSpace的临床决策支持系统的研究热点和趋势的视觉分析
Shujia Wang1, Li Yu2
1Department of general surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200020, China.
Langenbeck's archives of surgery
|September 2, 2025
概括
这项研究分析了临床决策支持系统 (CDSS),揭示了越来越多的研究兴趣,特别是将CDSS与人工智能和深度学习结合起来. 未来趋势显示人工智能在医疗保健决策中的整合是有前途的.
科学领域:
- 医疗信息学
- 医疗保健中的人工智能
- 医疗服务研究
背景情况:
- 临床决策支持系统 (CDSS) 是计算机应用程序,使用临床知识和患者数据来加强医疗决策.
- 通过加强临床行动,CDSS旨在提高医疗质量和服务水平.
- 这一领域的关注度和出版率正在上升.
研究的目的:
- 分析临床决策支持系统 (CDSS) 的研究现状,热点和发展趋势.
- 为CDSS领域的未来研究方向提供有价值的参考资料.
- 提供关于CDSS研究的深入和全面的视角.
主要方法:
- 从1969年到2023年对2473份文档进行了图书识别和可视化分析.
- 在科学网络核心数据库中进行文献搜索.
- 使用CiteSpace软件进行数据分析.
主要成果:
- 出版物的指数增长表明对CDSS研究的兴趣正在增加.
- 关键的研究领域包括CDSS与人工智能 (AI) 的整合.
- 对各种应用环境的深度学习模型的开发和探索非常重要.
结论:
- 这项研究对CDSS研究的现状和趋势提供了全面的概述.
- 研究人员了解热门话题和该领域的突破性进展.
- 人工智能和CDSS之间的协同作用为医疗保健提供了非常有前途的未来.
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