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 View