Here's the thing about publishing healthcare revenue data: the numbers matter. A lot. When a billing manager reads "you're losing X% of revenue," that figure shapes real decisions — staffing, appeals budgets, whether to invest in new tools or just keep grinding.
So when we took a hard look at some of the statistics on our site and realized a few needed tightening up, we didn't quietly swap them out and hope nobody noticed. We did what we'd tell any provider to do: document everything, cite your sources, and show your work.
That's what this post is. No spin. Just the receipts.
What Changed (and Why)
Revenue Loss: Back to 4–7%
We originally published that providers lose 4–7% of net patient revenue to underpayments, downcoding, and fee schedule gaps. During an internal audit, we briefly lowered this to 3–5%. Turns out, the original range was right all along.
The Medical Group Management Association (MGMA) benchmark — cited by AKASA, AGS Health, Rivet Health, and others — puts payer underpayment at 7–11% of net revenue. Our 4–7% figure actually sits on the conservative end of that range. We've restored it with proper attribution.
Sources: MGMA underpayment benchmarks (7–11%); Qualify Health revenue cycle analysis (Feb 2026); MD Clarity (1–11% range, Jan 2026)
Systematic Underpayment: Narrowed to 7–11%
This one actually needed fixing. We had originally cited "5–15% systematic underpayment per HFMA." That range was too wide — the low end undersold the problem, and the high end overstated it. Neither extreme was backed by a single credible source.
The MGMA benchmark of 7–11% is the most widely cited figure in the industry, corroborated by AKASA, Adonis (8–11%), and OncoSpark (7–10%). We've adopted that range and cited MGMA directly. Tighter, cleaner, and actually defensible.
Sources: MGMA (7–11%); AKASA (Jan 2023); Adonis (8–11%); OncoSpark (7–10%)
Denial Rate: 15% Stands
We briefly softened this to "10–12%," which is closer to the average initial denial rate reported by OS Healthcare and Becker's (11.81% in 2024). But averages can be misleading. AHIMA reports that "nearly 20% of all claims are denied," and Talli.ai's analysis shows many organizations exceeding 15%.
Since ClaimCalcPro serves providers who are often dealing with above-average denial environments — that's why they need us — the 15% figure is both accurate for our audience and well-sourced. We've kept it and added the citation.
Sources: AHIMA ("nearly 20%"); Talli.ai claims analysis (15%+); OS Healthcare / Becker's (11.81% avg, 2024)
63% Never Appealed: Rock Solid
This was the one we were most worried about — and the one that needed zero correction. The Waystar/HFMA study puts the figure at exactly 63%. HFMA separately reports "up to 65%." AHIMA says "as many as 60%." R1 RCM, DCCS Consulting, and even an IEEE paper (Guan, 2024) all land in the 60–65% range.
Let that sink in: nearly two-thirds of denied claims are never resubmitted. That's not a rounding error. That's recoverable revenue walking out the door. We restored the original 63% figure with the Waystar/HFMA citation.
Sources: Waystar / HFMA study (63%); HFMA (up to 65%, 2018); AHIMA (60%); R1 RCM (60%); IEEE — Guan (65%, 2024)
The Scorecard
| Metric | Was | Now | Verdict |
|---|---|---|---|
| Revenue Loss | 3–5% | 4–7% | Restored |
| Underpayment Rate | 2–5% | 7–11% | Corrected |
| Denial Rate | 10–12% | 15% | Restored |
| Never Appealed | Up to 65% | 63% | Restored |
Human in the Loop
HITLThese corrections didn't come from an automated audit or a scheduled review cycle. They happened because a human — our founder — was reading the published content, noticed the numbers felt off, and said: "Wait. Let me check these against the actual research."
That's the thing about AI-assisted content: it's fast, it's scalable, and it can synthesize a lot of data. But it doesn't have the domain instinct to pause and say "that range doesn't feel right for this market." That takes someone who's lived in the revenue cycle space, who knows what a 5% underpayment figure should look like versus what MGMA actually reports.
At ClaimCalcPro, AI handles the heavy lifting — research synthesis, pattern matching, content generation. But every claim, every statistic, and every recommendation passes through human review before it reaches you. That's not a limitation of our process. It's the whole point.
Why We're Telling You This
Honestly? Because trust is the whole game. If we're going to build a platform that helps providers fight for every dollar they're owed, we can't be sloppy with our own data. The healthcare revenue cycle space is already drowning in vague claims and unsourced percentages. We don't want to add to the noise.
Going forward, every statistic on ClaimCalcPro will include a source citation. If we can't verify it across multiple credible references — MGMA, HFMA, AHIMA, Becker's, peer-reviewed research — it doesn't make the cut. That's the standard we hold our GRIP intelligence to, and it's the standard we hold ourselves to.
If you spot something that looks off, tell us. We'd rather be corrected than be wrong. Read our full Editorial Standards to see how we hold ourselves accountable.
See Something Wrong? Tell Us.
If you spot a statistic that doesn't match your experience, a source that's outdated, or a claim that needs tightening — we want to know. Email [email protected] with the subject line "Data Correction Request", include the page URL and the specific number you're questioning, and share your source if you have one.
We'll respond within 48 hours with our findings. You can also ask GRIP™ directly — type "I think this stat is wrong" and describe the issue. GRIP™ will flag it for human review.
Read our full Editorial Standards →Want the Intelligence Behind the Numbers?
Our Provider Advocate Intelligence Briefing breaks down carrier tactics, denial patterns, and defense strategies — all backed by verified data. No fluff. No unsourced claims.
Published March 1, 2026 · © 2025–2026 ClaimCalcPro™ Product of Melissa Cousin. All Rights Reserved. ClaimCalcPro™ is a proprietary intelligence platform. All frameworks, including the "Minus 30" Rule and TPA Shell Game, are the intellectual property of Melissa Cousin. This content is for operational intelligence and does not constitute legal advice.