This paper is in the following e-collection/theme issue:

Digital Health Reviews (1725) Clinical Informatics (1326) Clinical Information and Decision Making (1916) Decision Support for Health Professionals (1542) Human Factors and Usability Case Studies (1006)

Published on in Vol 27 (2025)

This is a member publication of CSIRO, Australian e-Health Research Centre, Sydney, Australia

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63733, first published .
Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Authors of this article:

Andrew A Bayor1 Author Orcid Image ;   Jane Li1 Author Orcid Image ;   Ian A Yang2, 3 Author Orcid Image ;   Marlien Varnfield1 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Journals

  1. Henna S, Alcaraz J, Rathnayake U, Amjath M. An interpretable deep learning framework for medical diagnosis using spectrogram analysis. Healthcare Analytics 2025;8:100408 View
  2. Abbas Q, Jeong W, Lee S. Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges. Healthcare 2025;13(17):2154 View
  3. Thorakkattil S, Sridhar S, Abdulsalim S, Karattuthodi M, Chandra P, Unnikrishnan M. Clinical Decision Support Systems in Indian Healthcare Settings: Benefits, Barriers, and Future Implications. Healthcare 2025;13(17):2220 View
  4. Bayor A, Li J, Yang I, Varnfield M. Correction: Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review. Journal of Medical Internet Research 2025;27:e84380 View
  5. Yu H, Chen T, Zhang X, Yang Y, Liu Q, Yang C, Shen K, Li H, Tang W, Zhong X, Shuai X, Yu X, Liao Y, Wang C, Zhu H, Wu Y. Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study. Journal of Medical Internet Research 2025;27:e77334 View
  6. Macit Aydın E, Balas Ş, Ertuğrul Örüç N, Atar F, Parlak B, Tezcan B. Assessing physicians’ experiences with a clinical decision support system in patient blood management programme: a cross-sectional observational study. BMC Health Services Research 2025 View
  7. Forand N, Nettiksimmons J, Anton M, Truxson R, Vanderwood K, Green B. Depression and Anxiety Outcomes in a Technology-Enabled Psychotherapy Practice: Retrospective Cohort Study. JMIR Formative Research 2025;9:e76264 View