Deng Xun, Liu Lu, Peng Tingting, Zhang Shan
Cardiac Surgery Intensive Care Unit, Beijing An-Zhen Hospital, Capital Medical University, Beijing, China.
School of Nursing, Capital Medical University, Beijing, China.
Nurs Crit Care. 2025 Jul;30(4):e70112. doi: 10.1111/nicc.70112.
Hospital administrators apply information technology to improve healthcare quality; however, a comprehensive bibliometric analysis remains limited.
To explore the research topic, key contributors and development trends of clinical decision support systems (CDSS) in intensive care units (ICUs).
Between January 1, 2014, and December 31, 2024, a bibliometric analysis was undertaken. CiteSpace software was used to conduct a visual analysis of literature retrieved from the Web of Science Core Collection database. Publishing countries, institutions, authors, cited journals and keywords were reported.
A total of 817 articles were included in the final analysis. The annual publication volume showed an overall upward trend. The United States was the country with the highest number of publications (338 articles, 41.37%), and the University of Pittsburgh was the most prolific institution (29 articles, 3.55%). Herasevich, Vitaly from Mayo Clinic, Dept Anesthesiol, was the most prolific author (8 articles, 0.98%). Critical Care Medicine was the most cited journal (n = 421). Research hotspots primarily focused on the integration of CDSS with clinical practice, intelligent decision support-driven precision ICU care and the effectiveness of CDSS in managing ICU patients. Research trends centred on prediction, respiratory distress syndrome and artificial intelligence.
This study highlights key research areas in CDSS applications in ICUs, focusing on clinical integration, precision care and patient management, offering insights for improving healthcare quality.
The findings from this bibliometric analysis can assist ICU nurses in advancing research on integrating CDSS into ICU practices, developing intelligent decision support tools and addressing gaps in precision care, prediction models and AI-driven solutions to enhance patient outcomes and optimise critical care management.
医院管理人员应用信息技术来提高医疗质量；然而，全面的文献计量分析仍然有限。
探讨重症监护病房（ICU）中临床决策支持系统（CDSS）的研究主题、主要贡献者和发展趋势。
在2014年1月1日至2024年12月31日期间进行了文献计量分析。使用CiteSpace软件对从Web of Science核心合集数据库检索到的文献进行可视化分析。报告了发表国家、机构、作者、被引期刊和关键词。
最终分析纳入了817篇文章。年发表量总体呈上升趋势。美国是发表文章数量最多的国家（338篇文章，占41.37%），匹兹堡大学是发文量最多的机构（29篇文章，占3.55%）。梅奥诊所麻醉科的维塔利·赫拉斯维奇是发文量最多的作者（8篇文章，占0.98%）。《危重病医学》是被引次数最多的期刊（n = 421）。研究热点主要集中在CDSS与临床实践的整合、智能决策支持驱动的精准ICU护理以及CDSS在管理ICU患者方面的有效性。研究趋势集中在预测、呼吸窘迫综合征和人工智能。
本研究突出了ICU中CDSS应用的关键研究领域，重点关注临床整合、精准护理和患者管理，为提高医疗质量提供了见解。
该文献计量分析的结果可帮助ICU护士推进将CDSS整合到ICU实践中的研究，开发智能决策支持工具，并填补精准护理、预测模型和人工智能驱动解决方案方面的空白，以改善患者预后并优化重症护理管理。
