{"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}
引用次数: 0
Abstract
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.