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Large-Scale Telemedicine Implementation for Outpatient Clinicians: Results From a Pandemic-Adapted Learning

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The Journal of Ambulatory Care Management
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PubMed
Summary
This summary is machine-generated.

A 10-week learning collaborative rapidly scaled telemedicine adoption among outpatient clinicians during the COVID-19 pandemic. This model effectively disseminated knowledge and addressed health inequities during the emergency.

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Area of Science:

  • Health Services Research
  • Medical Education
  • Public Health

Background:

  • Learning collaboratives are underutilized in healthcare quality improvement outside of specialized settings.
  • The COVID-19 pandemic necessitated rapid adoption of telemedicine by outpatient clinicians.
  • Existing models for knowledge dissemination may not be agile enough for public health emergencies.

Purpose of the Study:

  • To describe a condensed, 10-week learning collaborative model (Telemedicine Hack) for facilitating telemedicine implementation.
  • To assess the reach and impact of this model among diverse outpatient clinicians.
  • To evaluate the model's potential for rapid knowledge scaling and addressing health disparities.

Main Methods:

  • A 10-week "sprint" learning collaborative format was implemented.
  • Live attendance and survey data were collected from participants.
  • Participant demographics and practice characteristics were analyzed, alongside telemedicine visit billing data.

Main Results:

  • The learning collaborative, "Telemedicine Hack," saw an average live attendance of 1688 participants per session.
  • Baseline surveys included 1005 respondents: 57% clinicians, with one-third from racial/ethnic minoritized groups.
  • 71% of practices were primary care, 51% rural, and 28% community health centers.
  • 81% (438/540) of clinicians billed at least one video-based telemedicine visit after the program.

Conclusions:

  • The condensed learning collaborative "sprint" model is effective for rapid telemedicine implementation.
  • This approach successfully scaled knowledge dissemination to a large, diverse group of clinicians during a public health crisis.
  • The model shows promise for addressing health inequities by improving access to telemedicine training.