MGMA DataDive, Done Right: Understanding Provider Compensation with Data Experts Jennifer Sanchez and Liz Gurley

About this episode

The episode discusses MGMA DataDive and its implications for understanding provider compensation with insights from data experts.

On this episode of the MGMA Insights Podcast , host and senior editor Daniel Williams sits down with Jennifer Sanchez and Liz Gurley , data experts at MGMA, to kick off a limited series focused on MGMA data — how it’s collected, how it’s used, and how medical groups can apply it with confidence. The conversation starts with one of MGMA’s most widely used — and most frequently misunderstood — datasets: MGMA Provider Compensation . Together, they unpack what DataDive is (and isn’t), how benchmarking really works, why percentiles cause so much confusion, and how leaders can use compensation and productivity data to support providers without turning benchmarks into prescriptions. Episode Takeaways What MGMA DataDive actually is — A national benchmarking platform built from annual survey data across private practices, health systems, and large organizations, designed to help groups compare compensation, productivity, and financial performance against true peers. Why provider compensation data is often misunderstood — MGMA does not tell practices what they should pay or produce; the data provides context and comparison, not mandates or targets. How organizations really use the data —…

People in this episode

Host: Daniel Williams

Guests: Jennifer Sanchez, Liz Gurley

Topics covered

• provider compensation
• data analysis
• benchmarking
• medical groups
• data utilization
• productivity

Keywords

• MGMA
• DataDive
• provider compensation
• benchmarking
• data analysis
• medical groups
• productivity
• KPI tracking
• contract negotiations

Mentioned in this episode

Organizations: MGMA, MGMA Provider Compensation, MGMA DataDive

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