Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19676, first published .
Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach

Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach

Integrating the Practical Robust Implementation and Sustainability Model With Best Practices in Clinical Decision Support Design: Implementation Science Approach

Journals

  1. Klepac Pogrmilovic B, Linke S, Craike M. Blending an implementation science framework with principles of proportionate universalism to support physical activity promotion in primary healthcare while addressing health inequities. Health Research Policy and Systems 2021;19(1) View
  2. Trinkley K, Kroehl M, Kahn M, Allen L, Bennett T, Hale G, Haugen H, Heckman S, Kao D, Kim J, Matlock D, Malone D, Page 2nd R, Stine J, Suresh K, Wells L, Lin C. 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. JMIR Medical Informatics 2021;9(3):e24359 View
  3. Trinkley K, Pell J, Martinez D, Maude N, Hale G, Rosenberg M. Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome. Applied Clinical Informatics 2021;12(01):190 View
  4. Ji M, Genchev G, Huang H, Xu T, Lu H, Yu G. Evaluation Framework for Successful Artificial Intelligence–Enabled Clinical Decision Support Systems: Mixed Methods Study. Journal of Medical Internet Research 2021;23(6):e25929 View
  5. Carpenter C, Southerland L, Lucey B, Prusaczyk B. Around the EQUATOR with clinician‐scientists transdisciplinary aging research (Clin‐STAR) principles: Implementation science challenges and opportunities. Journal of the American Geriatrics Society 2022;70(12):3620 View
  6. 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
  7. Bogart L, Shazi Z, MacCarthy S, Mendoza-Graf A, Wara N, Zionts D, Dube N, Govere S, Bassett I. Implementation of South Africa’s Central Chronic Medicine Dispensing and Distribution Program for HIV Treatment: A Qualitative Evaluation. AIDS and Behavior 2022;26(8):2600 View
  8. Spiegel M, Simpson A, Philip A, Bell C, Nadig N, Ford D, Goodwin A. Development and implementation of a clinical decision support-based initiative to drive intravenous fluid prescribing. International Journal of Medical Informatics 2021;156:104619 View
  9. Trinkley K, Ho P, Glasgow R, Huebschmann A. How Dissemination and Implementation Science Can Contribute to the Advancement of Learning Health Systems. Academic Medicine 2022;97(10):1447 View
  10. Román-Villarán E, Alvarez-Romero C, Martínez-García A, Escobar-Rodríguez G, García-Lozano M, Barón-Franco B, Moreno-Gaviño L, Moreno-Conde J, Rivas-González J, Parra-Calderón C. A Personalized Ontology-Based Decision Support System for Complex Chronic Patients: Retrospective Observational Study. JMIR Formative Research 2022;6(8):e27990 View
  11. Vinson D, Casey S, Vuong P, Huang J, Ballard D, Reed M. Sustainability of a Clinical Decision Support Intervention for Outpatient Care for Emergency Department Patients With Acute Pulmonary Embolism. JAMA Network Open 2022;5(5):e2212340 View
  12. Kukhareva P, Weir C, Del Fiol G, Aarons G, Taft T, Schlechter C, Reese T, Curran R, Nanjo C, Borbolla D, Staes C, Morgan K, Kramer H, Stipelman C, Shakib J, Flynn M, Kawamoto K. Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation. Journal of Biomedical Informatics 2022;127:104014 View
  13. Kanbar L, Wissel B, Ni Y, Pajor N, Glauser T, Pestian J, Dexheimer J. Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics 2022;10(12):e37833 View
  14. 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
  15. 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
  16. Yao Y, Dunn Lopez K, Bjarnadottir R, Macieira T, Dos Santos F, Madandola O, Cho H, Priola K, Wolf J, Wilkie D, Keenan G. Examining Care Planning Efficiency and Clinical Decision Support Adoption in a System Tailoring to Nurses’ Graph Literacy: National, Web-Based Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e45043 View
  17. Shear K, Rice H, Garabedian P, Bjarnadottir R, Lathum N, Horgas A, Harle C, Dykes P, Lucero R. Management of Fall Risk Among Older Adults in Diverse Primary Care Settings. Journal of Applied Gerontology 2023;42(11):2219 View
  18. McElroy L, Mohottige D, Cooper A, Sanoff S, Davis L, Collins B, Gordon E, Wang V, Boulware L. Improving Health Equity in Living Donor Kidney Transplant: Application of an Implementation Science Framework. Transplantation Proceedings 2024;56(1):68 View
  19. Ahmed R. Decision Support System for early Diagnosis of Heart Diseases. VFAST Transactions on Software Engineering 2023;11(2):124 View
  20. Hu Z, Wang M, Zheng S, Xu X, Zhang Z, Ge Q, Li J, Yao Y. Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice: Survey Study. JMIR Human Factors 2024;11:e55802 View
  21. O’Neil J, Dionne N, Marchand S, Cardinal D, Handrigan G, Savard J. Reach, Adoption, and Implementation Strategies of a Telehealth Fall Prevention Program: Perspectives From Francophone Communities Across Canada. Health Promotion Practice 2024 View
  22. Secor A, Justafort J, Torrilus C, Honoré J, Kiche S, Sandifer T, Beima-Sofie K, Wagner A, Pintye J, Puttkammer N. “Following the data”: Perceptions of and willingness to use clinical decision support tools to inform HIV care among Haitian clinicians. Health Policy and Technology 2024;13(3):100880 View
  23. Johnson J, Sullivan J, Trinkley K, Lapin B, Passek S, Asp V, Ford B, Rabin B. Use of the iPRISM webtool in a learning community to assess implementation context and fit of a novel clinical decision support tool for physical therapy triage in acute care hospitals. PM&R 2024 View
  24. Lebin L, Nouri P, Kwitowski M, Dempsey A, Lebin J, Nagle-Yang S. Implementation and evaluation of a proactive consultation-liaison model on an inpatient obstetric unit. General Hospital Psychiatry 2024;90:124 View
  25. 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
  26. 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
  27. McCleary N, Merle J, Richardson J, Bass M, Garcia S, Cheville A, Mitchell S, Jensen R, Minteer S, Austin J, Tesch N, DiMartino L, Hassett M, Osarogiagbon R, Wong S, Schrag D, Cella D, Smith A, Smith J, Cheville A, Wong S, Kroner B, Garcia S, Griffin J, Mitchell S, Ruddy K, Yanez B, Bian J, Dizon D, Hazard-Jenkins H, Ardini M, Ahrens P, Austin J, Barrett F, Begnoche M, Cahue S, Caron K, Chlan L, Coughlin A, Cronin C, Dias S, Faris N, Flores A, Garcia M, Hemming K, Herrin J, Hodgdon C, Kircher S, Kroenke K, Lam V, Lancki N, Mai Q, Mallow J, McCleary N, Norton W, O'Connor M, Pachman D, Pearson L, Penedo F, Podratz J, Popovic J, Preiss L, Rahman P, Redmond S, Reich J, Richardson J, Richardson K, Ridgeway J, Rutten L, Schaepe K, Scholtens D, Poirier-Shelton T, Silberman P, Simpson J, Tasker L, Tofthagen C, Tramontano A, Tyndall B, Uno H, Wehbe F, Weiner B. Bridging clinical informatics and implementation science to improve cancer symptom management in ambulatory oncology practices: experiences from the IMPACT consortium. JAMIA Open 2024;7(3) View
  28. Martinson A, Chin A, Butte M, Rider N. Artificial Intelligence and Machine Learning for Inborn Errors of Immunity: Current State and Future Promise. The Journal of Allergy and Clinical Immunology: In Practice 2024;12(10):2695 View
  29. Fernando M, Abell B, McPhail S, Tyack Z, Tariq A, Naicker S. Applying the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability Framework Across Implementation Stages to Identify Key Strategies to Facilitate Clinical Decision Support System Integration Within a Large Metropolitan Health Service: Interview and Focus Group Study. JMIR Medical Informatics 2024;12:e60402 View
  30. Wohlgemut J, Pisirir E, Stoner R, Perkins Z, Marsh W, Tai N, Kyrimi E. A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems. BMC Medical Informatics and Decision Making 2024;24(1) View
  31. Mendoza-Graf A, Bogart L, Shazi Z, Khumalo A, Qureshi N, Rahman K, Govere S, Zionts D, Nzuza M, Bassett I. A Qualitative Assessment of South Africa’s Central Chronic Medication Dispensing and Distribution Program for Differentiated Antiretroviral Therapy Delivery in Umlazi Township, South Africa: Client Perspectives after 12 Months of Participation. AIDS and Behavior 2024 View