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

Formative Evaluation of Digital Health Interventions (3349) Web-based and Mobile Health Interventions (4132) Telehealth and Telemonitoring (2139) Human Factors and Usability Case Studies (1036) Adoption and Change Management of eHealth Systems (927) Usability of Apps and User Perceptions of mHealth (1214)

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 (2) Tweetations Metrics

Journals

  1. Zhou J, Cheng Y, He S, Chen Y, Chen H. Large Language Models for Transforming Healthcare: A Perspective on DeepSeek‐R1. MedComm – Future Medicine 2025;4(2) View
  2. Dhunnoo P, McGuigan K, O’Rourke V, Meskó B, McCann M. User Perceptions of Virtual Consultations and Artificial Intelligence Assistance: A Mixed Methods Study. Future Internet 2026;18(2):84 View