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

Heuristics and Problem-Solving in Usability Evaluations (15) Usability Evaluation Case Studies (224) Decision Support for Health Professionals (1338) Clinical Information and Decision Making (1653) Electronic Health Records (1182) Design and Usability of Clinical Software and EHRs (299) Safety and Error Prevention in Health (226) Human Factors and Usability Case Studies (894)

Published on in Vol 9, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31758, first published .
Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation

Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation

Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation

Authors of this article:

Hwayoung Cho1 Author Orcid Image ;   Gail Keenan1 Author Orcid Image ;   Olatunde O Madandola1 Author Orcid Image ;   Fabiana Cristina Dos Santos1 Author Orcid Image ;   Tamara G R Macieira1 Author Orcid Image ;   Ragnhildur I Bjarnadottir1 Author Orcid Image ;   Karen J B Priola1 Author Orcid Image ;   Karen Dunn Lopez2 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Joshua S, Abbas W, Lee J, Kim S. Trust Components: An Analysis in The Development of Type 2 Diabetic Mellitus Mobile Application. Applied Sciences 2023;13(3):1251 View
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  4. Wong A, Nath B, Shah D, Kumar A, Brinker M, Faustino I, Boyce M, Dziura J, Heckmann R, Yonkers K, Bernstein S, Adapa K, Taylor R, Ovchinnikova P, McCall T, Melnick E. Formative evaluation of an emergency department clinical decision support system for agitation symptoms: a study protocol. BMJ Open 2024;14(2):e082834 View
  5. Stamate E, Piraianu A, Ciobotaru O, Crassas R, Duca O, Fulga A, Grigore I, Vintila V, Fulga I, Ciobotaru O. Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive Review of the Past 5 Years. Diagnostics 2024;14(11):1103 View
  6. Aşkın L, Polat E, Hoşoğlu Y, Tanrıverdi O. The Application of Artificial Intelligence in the Field of Cardiovascular Diseases Focuses on Both Diagnostic and Therapeutic Aspects.. Experimental and Applied Medical Science 2024;5(2):22 View
  7. Saeedi S, Ghazisaeedi M, Ramezanghorbani N, Seifpanahi M, Bouraghi H. Design and evaluation of a serious video game to treat preschool children with speech sound disorders. Scientific Reports 2024;14(1) View
  8. Rizzi M. Decision Support Systems for Disease Detection and Diagnosis. Applied Sciences 2024;14(17):7501 View
  9. Cho H, Nguyen O, Weaver M, Pruitt J, Marcelle C, Salloum R, Keenan G. Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study. Journal of the American Medical Informatics Association 2024;31(11):2540 View
  10. Asadi Z, Castillo J, Asadi M, Sinclair D, Kersten‐Oertel M. iSurgARy: A mobile augmented reality solution for ventriculostomy in resource‐limited settings. Healthcare Technology Letters 2025;12(1) View
  11. Dougherty K, Tesfaye Y, Biza H, Belew M, Benda N, Gebremariam A, Cranmer J, Bakken S. User-Centered Design of an Electronic Dashboard for Monitoring Facility-Level Basic Emergency Obstetric Care Readiness in Amhara, Ethiopia (Preprint). JMIR Human Factors 2024 View
  12. Nibbelink C, Mendoza K, Harding H, Fields W. How Fast Is My Patient Deteriorating? A Qualitative Description Study of A Concern Factor Tool to Support Nurses’ Communication and Prioritization Decision Making. Advances in Nursing Science 2025 View
  13. Azadi A, García-Peñalvo F. Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review. JMIR Human Factors 2025;12:e69333 View

Conference Proceedings

  1. Bhattacharya A, Ooge J, Stiglic G, Verbert K. Proceedings of the 28th International Conference on Intelligent User Interfaces. Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations View