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

Clinical Communication, Electronic Consultation and Telehealth (820) Demographics of Users, Social & Digital Divide (987) Telehealth and Telemonitoring (2245) Use and User Demographics of mHealth (436) Machine Learning (2285) E-Health / Health Services Research and New Models of Care (820)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78030, first published .
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

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
Article Authors Cited by Tweetations Metrics

Aysenur Betul Cengil   1 * , PhD ;   Burak Eksioglu   1, 2 * , PhD ;   Sandra Duni Eksioglu   1 * , PhD ;   Corey Hayes   3, 4, 5 * , PharmD, PhD ;   Cari Bogulski   3, 4 * , PhD ;   Mir Ali   3 * , PhD

1 Department of Industrial Engineering, University of Arkansas, Fayetteville, AR, United States

2 Department of Industrial, Manufacturing and Systems Engineering, Texas Tech University, Lubbock, TX, United States

3 Institute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Little Rock, AR, United States

4 Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States

5 Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, Little Rock, AR, United States

*all authors contributed equally

Corresponding Author:

  • Burak Eksioglu, PhD
  • Department of Industrial, Manufacturing and Systems Engineering
  • Texas Tech University
  • 905 Canton Avenue
  • Lubbock, TX 79409
  • United States
  • Phone: 1 8068341513
  • Email: burak.eksioglu@gmail.com