Researchers analyze telehealth resource use across specialties

Researchers analyze resource use patterns in US telehealth services across four specialties using machine learning and clustering methods. The study situates its analysis in the context of telehealth's expansion during the COVID-19 pandemic and the transformation of U.S. health care delivery.
Scoring Rationale
An applied `machine learning` clustering study yields empirical insights on telehealth resource use across specialties; useful for practitioners but not a foundational model or industry-shaking result.
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