Background <p>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> Objective <p>To analyze research status, hot topics and developmental trends, and to provide references for future research in this field.</p> Methods <p>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> Results <p>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> Conclusion <p>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>

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Visual analysis of research hot topics and trends of clinical decision support system based on CiteSpace

  • Shujia Wang,
  • Li Yu

摘要

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.