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.

Results

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.

Conclusions

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.

Relevance to Clinical Practice

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Open Research

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Supporting Information

Filename

Description

nicc70112-sup-0001-supinfo.pdfPDF document, 186.1 KB

Supplementary File. The BIBLIO checklist for reporting the bibliometric reviews of the biomedical literature.

nicc70112-sup-0002-Figures.docxWord 2007 document , 1.7 MB

Figure S1. Country-level collaboration networks in research on clinical decision support systems in intensive care units.

Figure S2. Institutional-level collaboration networks in research on clinical decision support systems in intensive care units.

Figure S3. Cited journals networks in research on clinical decision support systems in intensive care units.

Figure S4. Keywords clustering graph in research on clinical decision support systems in intensive care units.

nicc70112-sup-0003-Tables.docxWord 2007 document , 20.4 KB

Table S1. Top 10 countries in research on clinical decision support systems in intensive care units.

Table S2. Top 10 institutions by number of publications.

Table S3. Top 10 cited journals by the published papers in research on clinical decision support systems in intensive care units.

Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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Volume30, Issue4

July 2025

e70112

Research Topics and Trends of Clinical Decision Support Systems in Intensive Care Units: A Bibliometric Analysis

ABSTRACT

Background

Aim

Study Design

Results

Conclusions

Relevance to Clinical Practice

Conflicts of Interest

Open Research

Data Availability Statement

Supporting Information

References

References

Information

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Research Topics and Trends of Clinical Decision Support Systems in Intensive Care Units: A Bibliometric Analysis

ABSTRACT

Background

Aim

Study Design

Results

Conclusions

Relevance to Clinical Practice

Conflicts of Interest

Open Research

Data Availability Statement

Supporting Information

References

References

Related

Information