{"title":"基于CiteSpace的临床决策支持系统研究热点与趋势可视化分析。","authors":"Shujia Wang, Li Yu","doi":"10.1007/s00423-025-03843-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Clinical decision support system (CDSS) mainly refers to a computer application system that uses relevant and systematic clinical knowledge and patients' basic information, as well as medical information, to strengthen medical-related decisions/actions and improve medical quality and medical service level.</p><p><strong>Objective: </strong>To analyze research status, hot topics and developmental trends, and to provide references for future research in this field.</p><p><strong>Methods: </strong>CiteSpace was used to conduct scientific measurement and visualization analysis of relevant literature from 1969 to 2023 in the Web of Science core collection database.</p><p><strong>Results: </strong>A total of 2473 documents were included, and the number of publications increased exponentially (y = 1.3073e<sup>0.1636x</sup>), and the attention to this field has gradually increased. The research frontier trends mainly focus on the combination of CDSS and artificial intelligence, as well as the development and exploration of deep learning models for different application environments. With the continuous development of science and technology, the prospect of combining artificial intelligence with CDSS is very promising.</p><p><strong>Conclusion: </strong>This study reveals an in-depth and comprehensive perspective for CDSS study, and provides researchers with valuable information on the current status, hot topics, and cutting-edge trends in this field.</p>","PeriodicalId":17983,"journal":{"name":"Langenbeck's Archives of Surgery","volume":"410 1","pages":"261"},"PeriodicalIF":1.8000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405311/pdf/","citationCount":"0","resultStr":"{\"title\":\"Visual analysis of research hot topics and trends of clinical decision support system based on CiteSpace.\",\"authors\":\"Shujia Wang, Li Yu\",\"doi\":\"10.1007/s00423-025-03843-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Clinical decision support system (CDSS) mainly refers to a computer application system that uses relevant and systematic clinical knowledge and patients' basic information, as well as medical information, to strengthen medical-related decisions/actions and improve medical quality and medical service level.</p><p><strong>Objective: </strong>To analyze research status, hot topics and developmental trends, and to provide references for future research in this field.</p><p><strong>Methods: </strong>CiteSpace was used to conduct scientific measurement and visualization analysis of relevant literature from 1969 to 2023 in the Web of Science core collection database.</p><p><strong>Results: </strong>A total of 2473 documents were included, and the number of publications increased exponentially (y = 1.3073e<sup>0.1636x</sup>), and the attention to this field has gradually increased. The research frontier trends mainly focus on the combination of CDSS and artificial intelligence, as well as the development and exploration of deep learning models for different application environments. With the continuous development of science and technology, the prospect of combining artificial intelligence with CDSS is very promising.</p><p><strong>Conclusion: </strong>This study reveals an in-depth and comprehensive perspective for CDSS study, and provides researchers with valuable information on the current status, hot topics, and cutting-edge trends in this field.</p>\",\"PeriodicalId\":17983,\"journal\":{\"name\":\"Langenbeck's Archives of Surgery\",\"volume\":\"410 1\",\"pages\":\"261\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405311/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Langenbeck's Archives of Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00423-025-03843-0\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Langenbeck's Archives of Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00423-025-03843-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
摘要
背景:临床决策支持系统(Clinical decision support system, CDSS)主要是指利用相关的、系统的临床知识和患者的基本信息以及医疗信息,加强与医疗相关的决策/行动,提高医疗质量和医疗服务水平的计算机应用系统。目的:分析该领域的研究现状、热点和发展趋势,为今后该领域的研究提供参考。方法:采用CiteSpace软件对Web of Science核心馆藏数据库1969 - 2023年的相关文献进行科学测量和可视化分析。结果:共纳入2473篇文献,发表数呈指数增长(y = 1.3073e0.1636x),对该领域的关注度逐渐提高。研究前沿趋势主要集中在CDSS与人工智能的结合,以及针对不同应用环境的深度学习模型的开发和探索。随着科学技术的不断发展,人工智能与CDSS相结合的前景十分广阔。结论:本研究为CDSS研究提供了深入、全面的视角,为研究人员提供了该领域的研究现状、热点问题和前沿趋势等有价值的信息。
Visual analysis of research hot topics and trends of clinical decision support system based on CiteSpace.
Background: Clinical decision support system (CDSS) mainly refers to a computer application system that uses relevant and systematic clinical knowledge and patients' basic information, as well as medical information, to strengthen medical-related decisions/actions and improve medical quality and medical service level.
Objective: To analyze research status, hot topics and developmental trends, and to provide references for future research in this field.
Methods: CiteSpace was used to conduct scientific measurement and visualization analysis of relevant literature from 1969 to 2023 in the Web of Science core collection database.
Results: A total of 2473 documents were included, and the number of publications increased exponentially (y = 1.3073e0.1636x), and the attention to this field has gradually increased. The research frontier trends mainly focus on the combination of CDSS and artificial intelligence, as well as the development and exploration of deep learning models for different application environments. With the continuous development of science and technology, the prospect of combining artificial intelligence with CDSS is very promising.
Conclusion: This study reveals an in-depth and comprehensive perspective for CDSS study, and provides researchers with valuable information on the current status, hot topics, and cutting-edge trends in this field.
期刊介绍:
Langenbeck''s Archives of Surgery aims to publish the best results in the field of clinical surgery and basic surgical research. The main focus is on providing the highest level of clinical research and clinically relevant basic research. The journal, published exclusively in English, will provide an international discussion forum for the controlled results of clinical surgery. The majority of published contributions will be original articles reporting on clinical data from general and visceral surgery, while endocrine surgery will also be covered. Papers on basic surgical principles from the fields of traumatology, vascular and thoracic surgery are also welcome. Evidence-based medicine is an important criterion for the acceptance of papers.