基于CiteSpace的智能输液管理系统研究热点与趋势分析

Research Hotspots and Trend Analysis of Intelligent Infusion Management Systems Based on CiteSpace

摘要: 目的：分析智能输液管理系统在国内外的临床应用热点与发展趋势，为我国相关领域未来的研究方向及应用提供参考。方法：本研究运用CiteSpace 6.3.1软件，对建库至2025年10月间发表于中国知网、万方、维普与Web of Science数据库中与智能输液管理系统相关的临床应用文献进行可视化分析。结果：共检索有效中文文献642篇，有效英文文献63篇，文献发文量总体呈上升趋势。该领域的研究热点围绕多科室广泛适配、护患协同受益及输液安全等方面。国内侧重智能输液管理系统的多场景应用与护患满意度提升，国外则聚焦识别算法与设备精度优化，两者呈互补态势。趋势分析显示，互联网与智能化管理仍是后续核心方向。结论：国内智能输液管理系统的临床应用发文量多，关注度高，研究热点演进路径清晰。中外互补热点可进一步促进和完善智能输液管理系统的研究与发展。

Abstract: Objective: To analyze clinical application hotspots and development trends of intelligent infusion management systems both domestically and internationally, so as to provide references for future research directions and practical applications in related fields in China. Methods: This study used CiteSpace 6.3.1 software to conduct a visual analysis of clinical application literature related to intelligent infusion management systems published in CNKI, Wanfang, VIP, and Web of Science databases from their inception to October 2025. Results: A total of 642 valid Chinese articles and 63 valid English articles were retrieved, showing an overall upward trend in publication volume. Research hotspots in this field focus on broad adaptation across multiple departments, nurse-patient collaboration and mutual benefits, and infusion safety. Domestic studies emphasize multi-scenario applications of intelligent infusion management systems and improvements in nurse-patient satisfaction, while foreign studies focus on optimization of recognition algorithms and device accuracy, showing a complementary relationship between the two. Trend analysis indicates that the Internet and intelligent management remain the core directions for future development. Conclusion: The clinical application of intelligent infusion management systems in China has a high publication volume and strong attention, with a clear evolution path of research hotspots. The complementary hotspots between domestic and international studies can further promote and improve the research and development of intelligent infusion management systems.