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

Clinical Informatics (1480) Implementation Report (56) Decision Support for Health Professionals (1683) Health Information Exchange (158) Design and Usability of Clinical Software and EHRs (380) Evidence-Based Practice and Medicine (32)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73189, first published .
Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science

Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science

Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science

Authors of this article:

Katy E Trinkley1, 2, 3, 4 Author Orcid Image ;   Danielle Maestas Duran3 Author Orcid Image ;   Shelley Zhang1 Author Orcid Image ;   Meagan Bean3 Author Orcid Image ;   Larry A Allen3, 5 Author Orcid Image ;   Russell E Glasgow1, 3 Author Orcid Image ;   Amy G Huebschmann3, 6, 7 Author Orcid Image ;   Chen-Tan Lin2, 4, 6 Author Orcid Image ;   Jason N Mansoori3, 8 Author Orcid Image ;   Anna M Maw3, 9 Author Orcid Image ;   James Mitchell4 Author Orcid Image ;   Laura D Scherer3, 5 Author Orcid Image ;   Daniel D Matlock3, 10, 11 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Jahanbakhsh M, Moeeni M. A Nudge-driven model of health information system as a choice architecture. Journal of Health Administration 2025;28(2):109 View
  2. Trinkley K, Glasgow R. From Automation to Action in Heart Failure: Digital Solutions, Pragmatic Evidence, and the Integrative Role of Implementation Science. Circulation: Heart Failure 2026;19(2) View
  3. Yu M, Shen T, Zhang Y, Tang R, Ji J, Jiang L, Cai S, Geng R, Jiang L. Factors influencing invasive arterial blood pressure monitoring accuracy: a qualitative study using the i-PARIHS framework and personas. BMC Nursing 2026 View