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

Formative Evaluation of Digital Health Interventions (3504) Web-based and Mobile Health Interventions (4254) Human Factors and Usability Case Studies (1086) Telehealth and Telemonitoring (2224) Adoption and Change Management of eHealth Systems (970) Usability of Apps and User Perceptions of mHealth (1250)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62742, first published .
Assessing the Usability and Effectiveness of an AI-Powered Telehealth Platform: Mixed Methods Study on the Perspectives of Patients and Providers

Assessing the Usability and Effectiveness of an AI-Powered Telehealth Platform: Mixed Methods Study on the Perspectives of Patients and Providers

Assessing the Usability and Effectiveness of an AI-Powered Telehealth Platform: Mixed Methods Study on the Perspectives of Patients and Providers

Authors of this article:

Ekta Jain1 Author Orcid Image ;   Srishti Gupta1 Author Orcid Image ;   Vandana Yadav1 Author Orcid Image ;   Stan Kachnowski1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  3. Nguyen O, Ahmad A, Doering M, Abraham J. A systematic methodological review of best practices, pitfalls, and opportunities in mixed methods research in applied clinical informatics. Journal of the American Medical Informatics Association 2026 View