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Remittance & Recovery

Which payer denies you more than your peers?

Benchmark your first-pass denial rate against your local-peer median, then see exactly which reasons and payers are bleeding you and how much comes back if you appeal. Your own 835 remits, parsed on-device, no PHI leaves your browser.

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No PHI required. No card. Modeled, not guaranteed.
44%
of internal appeals reverse the denial, yet almost no one files one.
KFF analysis of in-network claim denials
Why it exists

Winnable denials get written off, not appealed.

About 1 in 5 in-network claims is denied, yet fewer than 0.2% of denials are ever appealed, so winnable dollars get quietly written off as a cost of doing business. The catch is you cannot see whether a payer is denying you harder than your local peers, or which reasons are actually overturnable. Denial Radar turns your remits into a ranked, appeal-ready view.

See it on a real code
Pulling the local-peer benchmark...
Live from Reddenda's dataset - public federal Transparency-in-Coverage + CMS. Local-peer median, never national. No PHI. Modeled, not guaranteed.
How it works

How Denial Radar works

STEP 1

Drop your 835 remits

Your x12-835 remittance files are parsed on-device in your browser, CARC/RARC denial codes read out, no PHI ever leaving the machine.

STEP 2

Benchmark vs local peers

Your first-pass denial rate is scored against the local-peer median for your geography and specialty, with your exact percentile on the curve.

STEP 3

Rank the winnable dollars

Each reason's tied-up dollars times its documented overturn rate ranks the winnable-on-appeal queue, with the ERISA 2560.503 appeal basis and filing-window age so you work the winners first.

What it does for you

Why it matters

44%
of internal appeals reverse the denial (KFF)
<0.2%
of denied claims are ever appealed
on-device
835s parsed in your browser, no PHI
Independent practiceSee if a single payer is denying you above your local-peer median, and which reasons are worth appealing first.
Billing & RCMTriage a book of clients by denial rate and winnable-on-appeal dollars, then work the winnable queue instead of the whole pile.
DMECatch the CO-197 prior-auth and CO-50 medical-necessity denials that dominate DME first-pass rejections, each tagged with its documented overturn rate.
Behavioral healthFlag prior-auth and medical-necessity denials that often signal an MHPAEA parity issue, with high documented overturn rates on appeal.

Turn your remits into an appeal-ready queue.

Open Denial Radar with the sample data, then contribute your own 835s on-device to see your real breakdown. Documented opportunity, modeled, not guaranteed.

Open in the app →Book a call
Multi-NPI or a whole book? Schedule a call - never a listed price.