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

Viewpoints and Perspectives (621) Clinical Informatics (1333) Adoption and Change Management of eHealth Systems (900) Theoretical Frameworks and Concepts (341) Design and Usability of Clinical Software and EHRs (349) mHealth in a Clinical Setting (745) Theories, Models, and Frameworks in Human Factors (94) Knowledge Translation and Implementation Science (519)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54518, first published .
Key Considerations for Designing Clinical Studies to Evaluate Digital Health Solutions

Key Considerations for Designing Clinical Studies to Evaluate Digital Health Solutions

Key Considerations for Designing Clinical Studies to Evaluate Digital Health Solutions

Authors of this article:

Elaina Bolinger1 Author Orcid Image ;   Benoit Tyl2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Le Dû K, Chauchet A, Sadot-Lebouvier S, Fitoussi O, Fontanet B, Saint-Lezer A, Maloisel F, Rossi C, Carras S, Parcelier A, Balavoine M, Septans A. Comparison of Electronic Surveillance With Routine Monitoring for Patients With Lymphoma at High Risk of Relapse: Prospective Randomized Controlled Phase 3 Trial (Sentinel Lymphoma). JMIR Cancer 2025;11:e65960 View
  2. Thapa I, Laforcade P, Bishop F, Ferstad J, Desai M, Maahs D, Prahalad P, Zaharieva D, Scheinker D, Johari R. Regression discontinuity in Time: Evaluating the impact of evolving digital health interventions. International Journal of Medical Informatics 2025;204:106050 View