Data Collection: 2025 Medical Clinic Staffing Survey
Submission Deadline: April 30, 2025
Request for Data
Medical groups continue to face clinic staffing difficulties amid the great resignation, employee burnout, and hiring challenges. This demographic shift strains medical groups, and can have a significant impact on patient access, operational efficiency, provider support, and overall operations.
Participation in this year’s survey allows us to compile the most accurate and up-to-date insights into staffing practices and staffing ratios for medical groups, highlighting how organizations are approaching the changing workforce to meet the needs of their patients. These data are a valuable tool for medical groups to remain competitive.
Benefits of Participation
Survey participants receive a complimentary copy of the final published survey ($700 value) or a discounted rate for access to the online database.
How to Participate
Submit completed questionnaires to Danielle DuBord and the Survey Team. Deadline: April 30, 2025.
Data Collection*
The survey results will explore the following areas:
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Staffing practices and tactics in response to current workforce challenges
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Insights into staffing clinical and operational support structures
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Staffing metrics by physician, by provider, by productivity, and by visit
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Advanced practice clinician ratios (per physician)
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Ratios for key staffing roles, such as medical assistants, RNs, medical reception, and other clinical and operational support
Going Further to Gain More Insights
Did you know that AMGA also collects data on medical group operations and finance practices, as well as data on medical group staffing? Make sure to complete the entire Medical Clinic Survey Input tool to gain participation credit for both surveys. Interested in more data? Pair these surveys with compensation and productivity data to receive a 360-degree view of your organization.
* AMGA Consulting will maintain a confidential file for each group’s response. No other organization will have access to your group’s individual data.