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

Decision Support for Health Professionals (1210) Clinical Information and Decision Making (1434) Knowledge Translation and Implementation Science (407) Safety and Error Prevention in Health (206)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24359, first published .
Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial

Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial

Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial

Authors of this article:

Katy E Trinkley1, 2, 3, 4 Author Orcid Image ;   Miranda E Kroehl5 Author Orcid Image ;   Michael G Kahn6 Author Orcid Image ;   Larry A Allen2, 4 Author Orcid Image ;   Tellen D Bennett2, 6 Author Orcid Image ;   Gary Hale3 Author Orcid Image ;   Heather Haugen7 Author Orcid Image ;   Simeon Heckman3 Author Orcid Image ;   David P Kao3, 4 Author Orcid Image ;   Janet Kim1 Author Orcid Image ;   Daniel M Matlock2, 4, 8 Author Orcid Image ;   Daniel C Malone9 Author Orcid Image ;   Robert L Page 2nd1, 4 Author Orcid Image ;   Jessica Stine1 Author Orcid Image ;   Krithika Suresh2 Author Orcid Image ;   Lauren Wells1 Author Orcid Image ;   Chen-Tan Lin3, 4 Author Orcid Image
Article Authors Cited by (16) Tweetations (1) Metrics

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  2. Kuo G, Trinkley K, Rabin B. Research and scholarly methods: Implementation science studies. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022;5(9):995 View
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  4. Shear K, Rice H, Garabedian P, Bjarnadottir R, Lathum N, Horgas A, Harle C, Dykes P, Lucero R. Usability Testing of an Interoperable Computerized Clinical Decision Support Tool for Fall Risk Management in Primary Care. Applied Clinical Informatics 2023;14(02):212 View
  5. Trinkley K, Wright G, Allen L, Bennett T, Glasgow R, Hale G, Heckman S, Huebschmann A, Kahn M, Kao D, Lin C, Malone D, Matlock D, Wells L, Wysocki V, Zhang S, Suresh K. Sustained Effect of Clinical Decision Support for Heart Failure: A Natural Experiment Using Implementation Science. Applied Clinical Informatics 2023;14(05):822 View
  6. Krupp A, Lopez K. Leveraging Implementation Science With Using Decision Support Technology to Drive Meaningful Change for Nurses and Nursing Leadership. Nurse Leader 2023;21(6):636 View
  7. Maw A, Huebschmann A, Jones C. Methods progress note: Applying dissemination and implementation science models to enhance hospital‐based quality improvement. Journal of Hospital Medicine 2023;18(9):841 View
  8. Shakowski C, Page II R, Wright G, Lunowa C, Marquez C, Suresh K, Allen L, Glasgow R, Lin C, Wick A, Trinkley K. Comparative effectiveness of generic commercial versus locally customized clinical decision support tools to reduce prescription of nonsteroidal anti-inflammatory drugs for patients with heart failure. Journal of the American Medical Informatics Association 2023;30(9):1516 View
  9. Bongiovanni T, Pletcher M, Lau C, Robinson A, Lancaster E, Zhang L, Behrends M, Wick E, Auerbach A. A behavioral intervention to promote use of multimodal pain medication for hospitalized patients: A randomized controlled trial. Journal of Hospital Medicine 2023;18(8):685 View
  10. Heneghan J, Walker S, Fawcett A, Bennett T, Dziorny A, Sanchez-Pinto L, Farris R, Winter M, Badke C, Martin B, Brown S, McCrory M, Ness-Cochinwala M, Rogerson C, Baloglu O, Harwayne-Gidansky I, Hudkins M, Kamaleswaran R, Gangadharan S, Tripathi S, Mendonca E, Markovitz B, Mayampurath A, Spaeder M. The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research. Pediatric Critical Care Medicine 2024;25(4):364 View
  11. Tang A, Brownell N, Roberts J, Haidar A, Osuna-Garcia A, Cho D, Bokhoor P, Fonarow G. Interventions for Optimization of Guideline-Directed Medical Therapy. JAMA Cardiology 2024;9(4):397 View
  12. Tan H, Spratte B, Deal A, Heiling H, Nazzal E, Meeks W, Fang R, Teal R, Vu M, Bennett A, Blalock S, Chung A, Gotz D, Nielsen M, Reuland D, Harris A, Basch E. Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives From Urologists. Urology 2024;190:15 View
  13. Breathett K, Lewsey S, Brownell N, Enright K, Evangelista L, Ibrahim N, Iturrizaga J, Matlock D, Ogunniyi M, Sterling M, Van Spall H. Implementation Science to Achieve Equity in Heart Failure Care: A Scientific Statement From the American Heart Association. Circulation 2024;149(19) View
  14. K N, M․ B M. Fuzzy rule based classifier model for evidence based clinical decision support systems. Intelligent Systems with Applications 2024;22:200393 View
  15. Trinkley K, Maw A, Torres C, Huebschmann A, Glasgow R. Applying Implementation Science to Advance Electronic Health Record–Driven Learning Health Systems: Case Studies, Challenges, and Recommendations. Journal of Medical Internet Research 2024;26:e55472 View
  16. Glasgow R, Trinkley K, Ford B, Rabin B. The Application and Evolution of the Practical, Robust Implementation and Sustainability Model (PRISM): History and Innovations. Global Implementation Research and Applications 2024;4(4):404 View