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RCM Process Benchmarking Survey Report
We surveyed practices and dental organizations to benchmark their levels of RCM process sophistication.
Here's what you'll learn:
- How the RCM Maturity Model works to measure practice efficiency
- Which elements of A/R management and billing are the most impactful for improving maturity scores
- Actionable ways to improve RCM processes to save overhead costs and boost collection rates
- What benchmarks to compare to for each stage of process maturity
- The best-of-breed tools to consider to move the RCM maturity scale and improve same-store practice growth through revenue operation tuning.
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Why RCM process maturity matters
Two dental organizations can look identical on paper — same size, same production, same payer mix — and still have wildly different revenue cycle outcomes. The difference almost always comes down to process maturity: how much of the billing and collections workflow runs on defined, consistent processes (or automation) versus ad hoc effort from whoever happens to be covering billing that week.
Low-maturity revenue cycles tend to share the same symptoms: aging A/R that quietly climbs because no one owns systematic follow-up, statements that go out inconsistently, and billing staff who spend most of their time on manual, repetitive tasks instead of the exceptions that actually need a human. High-maturity revenue cycles look different — not because the team works harder, but because the process removes the manual steps that used to eat their time.
This report surveys real dental practices and DSOs to benchmark exactly where organizations land on that maturity spectrum, and what separates the practices with strong RCM metrics from those still catching up.
Who this report is for
The findings apply whether you're running a single private practice trying to figure out why aging A/R keeps creeping up, or leading RCM strategy across a multi-location DSO trying to standardize billing performance across dozens of offices. The underlying maturity framework — and the benchmarks tied to it — scale across both.
