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

Clinical Communication, Electronic Consultation and Telehealth (964) Demographics of Users, Social & Digital Divide (1325) Telehealth and Telemonitoring (3153) Use and User Demographics of mHealth (514) Machine Learning (3329) E-Health / Health Services Research and New Models of Care (1224)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78030, first published .
Person using smartphone app with health data visualization

Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties

Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties

Authors of this article:

Aysenur Betul Cengil1 Author Orcid Image ;   Burak Eksioglu1, 2 Author Orcid Image ;   Sandra Duni Eksioglu1 Author Orcid Image ;   Corey Hayes3, 4, 5 Author Orcid Image ;   Cari Bogulski3, 4 Author Orcid Image ;   Mir Ali3 Author Orcid Image
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Journals

  1. Qin W, Yang Y, Tong S, Li D, Liu H, Li Z, Yam H, Huang J, Florez-Arango J. Exploring the Association Between Social Determinants of Health and Telehealth Utilization for Attention-Deficit/Hyperactivity Disorder Among Adults Using Machine Learning: A Cross-Sectional Study. Healthcare 2026;14(17):2709 View