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You're owed more than you're collecting.

A practical guide to finding revenue you already earned: recovering denied and underpaid claims, and building the pricing accuracy that stops the leak at the source.

  • Both leaks — the visible one and the invisible one

  • A repeatable six-step recovery workflow

  • The KPIs that expose lost revenue, with benchmarks

  • An appeal e-book matched to denial type and payer

Download the E-Book

Free, no cost. We'll email you the PDF and the recovery-workflow summary.

Your team

Educational material only. It isn't legal, compliance, coding, or reimbursement advice.

$48.4B

Net revenue lost to
denials & bad debt, 2025

11.6%

Average initial
denial rate

$43.84

Average cost to
rework a denial

42.1%

Initial denials
overturned

Recoverable revenue escapes through two very different holes.

Most teams watch one closely and barely see the other. Providers lost roughly $48.4 billion in net revenue to denials and bad debt in 2025 — up about 25% in a single year — and the rate at which they win it back is slipping.

Denials

01 · Visible

A claim is rejected outright. You get a remittance code, a work-queue entry, and a clear signal that something needs attention. Denials are painful, but they announce themselves — and they come with a defined appeal path and a measurable rate.

02 · Invisible

Underpayments

The claim is paid, just for less than it should be. No denial code, no queue, no alarm. Unless you calculated what the claim should have paid, a short payment looks exactly like a correct one — and surfaces only by comparing expected to actual.

Signal

Denials arrive with a code. Underpayments arrive with nothing.

Queue

Denials land in a work queue. Underpayments never get one.

Proof

Both are recoverable — but only with an expected amount.

Denials and underpayments are symptoms. The causes sit across the revenue cycle.

Front-end issues cause 44% of denials, with registration and eligibility errors alone accounting for 24.3% — the single largest category. But the underpayment leak concentrates at the back end and the contract layer.

Root causes don't misfire once. A stale contract rate or an expired-auth workflow gap repeats on every matching claim until someone fixes the source — which is what makes root-cause analysis the highest-leverage step in recovery.

You can't recover what you don't measure.

The KPIs that expose lost revenue, with current measured values and, where they differ, the industry target.

Ask your team for last quarter's underpayment recovery in dollars. If the answer is "we don't track that," you've found the invisible leak.

A six-step loop that works for both leaks.

The KPIs that expose lost revenue, with current measured values and, where they differ, the industry target.

Steps 01 and 03 are highlighted: they're where software earns its keep. Calculating an expected payment for every claim isn't realistic by hand at volume.

Denial rates vary sharply by payer.

Where you focus should follow where denials concentrate. Denial and overturn rates differ by payer type, which tells you where appeals are most needed and most winnable.

Where denials cluster at the front end, fix the cause instead of appealing later: half of avoidable registration and eligibility denials are nonrecoverable.

Table of contents

Eight parts, plus a fully sourced appendix.

Every benchmark in the e-book is matched to its published research, with the sample size and reporting period where the publisher states them.

Who wrote it

Every step depends on one number: what the claim should have paid.

That's what Micro-Dyn has done for more than 30 years. More than 200 organizations use our engines to price every claim under current CMS rules and their actual contract terms — the expected number that makes underpayments visible and appeals defensible.

Contract Manager turns complex payer contracts into executable pricing rules with full audit trails, so expected pay reflects the real contract rather than a guess.

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Get the playbook

Find the revenue you're already owed.

The full 14-page playbook, free. Or start with your own data and see the variance in your own claims.

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