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

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
  2. Lukashova-Sanz O, Dechant M, Wahl S. The Influence of Disclosing the AI Potential Error to the User on the Efficiency of User–AI Collaboration. Applied Sciences 2023;13(6):3572 View
  3. Sun X, Yin Y, Yang Q, Huo T. Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives. European Journal of Medical Research 2023;28(1) View
  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;48(3):E98 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
  14. Abareshi F, Zand F, Sharifian R, Choobineh A. The most used methods for evaluating health information technology systems usability. A scoping review. WORK: A Journal of Prevention, Assessment & Rehabilitation 2025 View
  15. Ahmad A, Ahmad S, Ahmad R, Bodi J, Mohamed A, Wasim A. Artificial Intelligence in Cardiovascular Diagnosis: Innovations and Impact on Disease Screenings. Journal of Pharmacy and Bioallied Sciences 2025;17(Suppl 2):S1900 View
  16. Abi Khalil C, Saab A, Rahme J, Bouaud J, Seroussi B. Capabilities of computerized decision support systems supporting the nursing process in hospital settings: a scoping review. BMC Nursing 2025;24(1) View
  17. Zhou C, Zhao H. Usability assessment and improvement strategy of music APP interface based on heuristic evaluation. Humanities and Social Sciences Communications 2025;12(1) View
  18. Rizvi R, Faisal S, Sussman M, Mendlick P, Brown S, Lindemann E, Switzer S, Melton G, Tignanelli C. Leveraging Dual Usability Methods to Evaluate Clinical Decision Support Among Patients With Traumatic Brain Injury: Mixed Methods Study. JMIR Human Factors 2025;12:e60268 View
  19. Alduhailan H, Alshamari M, Wahsheh H. A Comprehensive Comparison and Evaluation of AI-Powered Healthcare Mobile Applications’ Usability. Healthcare 2025;13(15):1829 View
  20. Hill A, Morrissey D, Marsh W. “It’s the future, come on!”: a think aloud study exploring clinicians’ use of knowledge-based AI decision support. International Journal of Medical Informatics 2025;204:106089 View
  21. Dehghani Mahmoodabadi A, Dehghan H, Kimiafar K, Karami M, Mousavi Baigi S, Farsi Mehrabadi M. Usability evaluation methods for hospital information systems: a systematic review. BMC Health Services Research 2025;25(1) View

Books/Policy Documents

  1. Senthilrajah T, Ahangama S. Augmented Cognition. 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
  2. Yon S, Espinoza J, Alvarado C. 2025 IEEE 16th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). Federated XGBoost-Powered Web Application for Safeguarding Personal Health Data in Hospitals and Clinics of Metropolitan Lima View