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

Digital Health, Telehealth and e-Innovation in Clinical Settings (554) Clinical Information and Decision Making (1914)

Published on in Vol 2, No 1 (2013): Jan-Jun

Evaluation of User Interface and Workflow Design of a Bedside Nursing Clinical Decision Support System

Evaluation of User Interface and Workflow Design of a Bedside Nursing Clinical Decision Support System

Evaluation of User Interface and Workflow Design of a Bedside Nursing Clinical Decision Support System

Authors of this article:

Michael Juntao Yuan1 ;   George Mike Finley2 ;   Ju Long3 ;   Christy Mills2 ;   Ron Kim Johnson1
Article Authors Cited by (32) Tweetations (1) Metrics

Journals

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  13. Cho H, Keenan G, Madandola O, Dos Santos F, Macieira T, Bjarnadottir R, Priola K, Dunn Lopez K. Assessing the Usability of a Clinical Decision Support System: Heuristic Evaluation. JMIR Human Factors 2022;9(2):e31758 View
  14. Jones E, Hultman G, Schmoke K, Ninkovic I, Dodge S, Bahr M, Melton G, Marquard J, Tignanelli C. Combined Expert and User-Driven Usability Assessment of Trauma Decision Support Systems Improves User-Centered Design. Surgery 2022;172(5):1537 View
  15. Chen J, Baxter S, van den Brandt A, Lieu A, Camp A, Do J, Welsbie D, Moghimi S, Christopher M, Weinreb R, Zangwill L. Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression. Journal of Glaucoma 2023;32(3):151 View
  16. Sloss E, Jones T. Nurse Cognition, Decision Support, and Barcode Medication Administration. CIN: Computers, Informatics, Nursing 2021;39(12):851 View
  17. Glanville D, Hutchinson A, Khaw D. Handheld Computer Devices to Support Clinical Decision-making in Acute Nursing Practice: Systematic Scoping Review. Journal of Medical Internet Research 2023;25:e39987 View
  18. Lei Y, Wang Y, Caslin T, Wisowaty A, Zhu X, Khamis M, Ye J. DynamicRead: Exploring Robust Gaze Interaction Methods for Reading on Handheld Mobile Devices under Dynamic Conditions. Proceedings of the ACM on Human-Computer Interaction 2023;7(ETRA):1 View
  19. Chen C, Chen Y, Scholl J, Yang H, Li Y. Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication. Computer Methods and Programs in Biomedicine 2024;243:107869 View
  20. Wohlgemut J, Pisirir E, Kyrimi E, Stoner R, Marsh W, Perkins Z, Tai N. Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis. JAMIA Open 2023;6(3) View
  21. Akturan S, Binns-Calvey A, Park C. Bias in simulation training for healthcare professions: a scoping review. International Journal of Healthcare Simulation 2022 View
  22. Groeneveld S, Bin Noon G, den Ouden M, van Os-Medendorp H, van Gemert-Pijnen J, Verdaasdonk R, Morita P. The Cooperation Between Nurses and a New Digital Colleague “AI-Driven Lifestyle Monitoring” in Long-Term Care for Older Adults: Viewpoint. JMIR Nursing 2024;7:e56474 View
  23. Grechuta K, Shokouh P, Bayer V, Kraemer H, Gilbert J, Jin S, Alhussein A. Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care – a collaborative study with experts from Diabetes Canada. BMC Medical Informatics and Decision Making 2025;25(1) View
  24. 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

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Conference Proceedings

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