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Related Experiment Video

Updated: Feb 12, 2026

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
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Temporal Trends and Sociodemographic Differences in Telemedicine Utilization, 2019-2024.

Bingyu Zhang1,2, Lu Li1,2, Yiwen Lu1,2

  • 1Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.

Journal of General Internal Medicine
|February 11, 2026
PubMed
Summary

Telemedicine use remains high post-pandemic, but access varies significantly by patient demographics and socioeconomic factors. Targeted strategies are essential to ensure equitable telemedicine adoption for all individuals.

Keywords:
electronic health recordspatient characteristicstelemedicinetemporal trends

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Area of Science:

  • Health Services Research
  • Digital Health
  • Health Equity

Background:

  • The COVID-19 pandemic dramatically accelerated telemedicine adoption, fundamentally altering healthcare access.
  • Understanding long-term telemedicine utilization trends and patient-specific factors is crucial for post-pandemic healthcare planning.

Purpose of the Study:

  • To analyze telemedicine utilization patterns from 2019 to 2024.
  • To identify key patient characteristics associated with telemedicine use.

Main Methods:

  • Retrospective cohort study of over 46 million outpatient visits across five hospitals (2019-2024).
  • Multivariable logistic regression used to assess associations between telemedicine use and patient/encounter characteristics.
  • Key factors analyzed included demographics, insurance, patient portal use, income, comorbidities, distance to care, and provider specialty.

Main Results:

  • Telemedicine use surged during the pandemic, stabilizing at 4-6% from 2022-2024.
  • Utilization was lower among older adults, males, and new patient visits.
  • Higher use observed in unmarried patients, patient portal users, those living further from care, lower-income individuals, and primary care settings.
  • Telemedicine use was lower among Non-Hispanic Black, Hispanic, and Asian patients compared to Non-Hispanic White patients, with notable disparities in mental health care access.

Conclusions:

  • Telemedicine use is persistent but demonstrates disparities in access based on age, race/ethnicity, socioeconomic status, and patient portal engagement.
  • Equitable telemedicine adoption requires targeted policies and interventions to address identified access barriers.