Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/44065, first published
.

Journals
- Yakob N, Laliberté S, Doyon-Poulin P, Jouvet P, Noumeir R. Data Representation Structure to Support Clinical Decision-Making in the Pediatric Intensive Care Unit: Interview Study and Preliminary Decision Support Interface Design. JMIR Formative Research 2024;8:e49497 View
- Wang J, Ji M, Han Y, Wu Y. Development and Usability Testing of a Mobile App–Based Clinical Decision Support System for Delirium: Randomized Crossover Trial. JMIR Aging 2024;7:e51264 View
- Tsaftaridis N, Goldin M, Spyropoulos A. System-Wide Thromboprophylaxis Interventions for Hospitalized Patients at Risk of Venous Thromboembolism: Focus on Cross-Platform Clinical Decision Support. Journal of Clinical Medicine 2024;13(7):2133 View
- Goldin M, Tsaftaridis N, Koulas I, Solomon J, Qiu M, Leung T, Smith K, Ochani K, McGinn T, Spyropoulos A. Universal clinical decision support tool for thromboprophylaxis in hospitalized COVID-19 patients: post hoc analysis of the IMPROVE-DD cluster randomized trial. Journal of Thrombosis and Haemostasis 2024;22(11):3172 View
- Woller S, Stevens S, Bledsoe J, Hellewell J, Kraft A, Butler A, Fazili M, Lloyd J, Christensen P, Peltan I, Barnes G, Horne B. Methods of a cluster-randomized, type II hybrid implementation effectiveness trial to prospectively assess extended-duration thromboprophylaxis for at-risk medical patients being discharged to prevent hospital-associated venous thromboembolism. Research and Practice in Thrombosis and Haemostasis 2024;8(6):102549 View
- Frenkel A, Rendon A, Chavez-Lencinas C, Gomez De la Torre J, MacDermott J, Gross C, Allman S, Lundblad S, Zavala I, Gross D, Siegel J, Choi S, Hueda-Zavaleta M. Internal Validation of a Machine Learning-Based CDSS for Antimicrobial Stewardship. Life 2025;15(7):1123 View
- Sawaied I, Samson A, Golan E. Perceived risk of gastric cancer associated with long-term use of proton pump inhibitors: Bridging the gap. World Journal of Clinical Oncology 2025;16(7) View
- Rego C, Hailye H, Montague E. Evaluating Levels of Automation in Primary Care Technologies: Identifying Gaps and Opportunities to Enhance Patient and Physician Experiences. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2025;14(1):49 View
- Lin S, Groenwold R, Mehta H, Kim J, Segal J. Addressing Missingness in Predictive Models That Use Electronic Health Record Data. Annals of Internal Medicine 2025;178(10):1451 View
- Xie X, Yu M, Xu R, Liu Y, Zhang J. From Ulcer to Amputation: A Systematic Review of Prognostic Models for Diabetic Foot Ulcer Amputation. Risk Management and Healthcare Policy 2025;Volume 18:3099 View
- Sahu A, Mathur S, Takaoka H, Ota J, Meinel F, Böttcher B, Magnin B, Jajodia A, Jensen C. Transforming CT imaging with deep learning: Noise reduction, artifact management, and clinical applications – A comprehensive review. European Journal of Radiology Artificial Intelligence 2025;4:100042 View
Books/Policy Documents
Conference Proceedings
- Rahmadani F, Simsekler M. 2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). A Path Towards Human-AI Decision-Making in Sepsis Care through Human-Centered Systems-Based Design Approach View
