Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55472, first published .
Applying Implementation Science to Advance Electronic Health Record–Driven Learning Health Systems: Case Studies, Challenges, and Recommendations

Applying Implementation Science to Advance Electronic Health Record–Driven Learning Health Systems: Case Studies, Challenges, and Recommendations

Applying Implementation Science to Advance Electronic Health Record–Driven Learning Health Systems: Case Studies, Challenges, and Recommendations

Journals

  1. Trinkley K, Simon S, Rosenberg M. Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study. Journal of Medical Internet Research 2025;27:e68256 View
  2. Huang A, Vanderkruik R, Mita C, Argueta S, Bartels S. Applications of implementation science (IS) in learning health systems (LHS): a scoping review protocol. BMJ Open 2025;15(8):e101596 View
  3. Trinkley K, Maestas Duran D, Zhang S, Bean M, Allen L, Glasgow R, Huebschmann A, Lin C, Mansoori J, Maw A, Mitchell J, Scherer L, Matlock D. Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science. Journal of Medical Internet Research 2025;27:e73189 View
  4. Maw A, Hoppe J, Wagner N, Mitchell J, Bean M, Trinkley K. Pragmatic Integration of User-Centered Design and Implementation Science: A New Methodological Approach for Clinical Decision Support Implementation in EHRs. Applied Clinical Informatics 2025;16(05):1531 View