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

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

  • By

  • Aysenur Betul Cengil

  • Burak Eksioglu

  • Sandra Duni Eksioglu

  • Corey Hayes

  • Cari Bogulski

  • Mir Ali

  • May 7, 2026

  • 0 min

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  • 1

    Telehealth services have transformed healthcare access, especially during the COVID-19 pandemic, by providing remote consultations and monitoring.

  • 2

    Resource utilization in telehealth includes digital platforms and technical support, differing from traditional office visits that rely on physical facilities.

  • 3

    Larger healthcare facilities tend to deliver a higher proportion of visits through telehealth compared to smaller facilities with fewer resources.

  • 4

    The study aims to analyze factors influencing telehealth resource use, focusing on patient-to-provider ratios and appointment durations across specialties.

  • 5

    Data from 2018 to 2023 will provide insights into telehealth adoption patterns and resource management, informing future healthcare planning.

Original Source(s)

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

  • by Aysenur Betul Cengil, Burak Eksioglu, Sandra Duni Eksioglu, Corey Hayes, Cari Bogulski, Mir Ali

  • May 7, 2026

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