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

Journals

1. Bezboruah K, Hamann D. Health IT Adoption in Nursing Homes: The Role of IT Vendors. International Journal of Innovation and Technology Management 2018;15(01):1850001 View
2. Press A, McCullagh L, Khan S, Schachter A, Pardo S, McGinn T. Usability Testing of a Complex Clinical Decision Support Tool in the Emergency Department: Lessons Learned. JMIR Human Factors 2015;2(2):e14 View
3. Schreiber R, Sittig D, Ash J, Wright A. Orders on file but no labs drawn: investigation of machine and human errors caused by an interface idiosyncrasy. Journal of the American Medical Informatics Association 2017;24(5):958 View
4. Nibbelink C, Young J, Carrington J, Brewer B. Informatics Solutions for Application of Decision-Making Skills. Critical Care Nursing Clinics of North America 2018;30(2):237 View
5. Reynolds T, DeLucia P, Esquibel K, Gage T, Wheeler N, Randell J, Stevenson J, Zheng K. Evaluating a handheld decision support device in pediatric intensive care settings. JAMIA Open 2019;2(1):49 View
6. Jung S, Hwang H, Lee K, Lee H, Kim E, Kim M, Cho I. Barriers and Facilitators to Implementation of Medication Decision Support Systems in Electronic Medical Records: Mixed Methods Approach Based on Structural Equation Modeling and Qualitative Analysis. JMIR Medical Informatics 2020;8(7):e18758 View
7. McCullagh L, Mann D, Rosen L, Kannry J, McGinn T. Longitudinal adoption rates of complex decision support tools in primary care. Evidence Based Medicine 2014;19(6):204 View
8. Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27 View
9. Shyr C, Kushniruk A, van Karnebeek C, Wasserman W. Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors. Journal of the American Medical Informatics Association 2016;23(2):257 View
10. Elias B, Barginere M, Berry P, Selleck C. Implementation of an electronic health records system within an interprofessional model of care. Journal of Interprofessional Care 2015;29(6):551 View
11. Bowles K, Chittams J, Heil E, Topaz M, Rickard K, Bhasker M, Tanzer M, Behta M, Hanlon A. Successful Electronic Implementation of Discharge Referral Decision Support Has a Positive Impact on 30‐ and 60‐day Readmissions. Research in Nursing & Health 2015;38(2):102 View
12. Dunn Lopez K, Gephart S, Raszewski R, Sousa V, Shehorn L, Abraham J. Integrative review of clinical decision support for registered nurses in acute care settings. Journal of the American Medical Informatics Association 2016:ocw084 View
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

Books/Policy Documents

1. Schubel L, Muthu N, Karavite D, Arnold R, Miller K. Design for Health. View
2. Bihl T, Young II W, Weckman G. Encyclopedia of Business Analytics and Optimization. View
3. Gong Y, Kang H. Clinical Decision Support Systems. View
4. Harte R, Quinlan L, Andrade E, Fallon E, Kelly M, O’Connor P, O’Hora D, Pladys P, Beucheé A, ÓLaighin G. Human Systems Engineering and Design. View
5. Bihl T, Young II W, Moyer A. Encyclopedia of Data Science and Machine Learning. View
6. Sulakiya P, Chandan S, Bhargavi C, Bhavana S, Thomas T, Prabhavathi H, Kumaraswamy H, Prashanth N, Rajaput S, Babu R, Naika H. Deep Learning in Genetics and Genomics. View