Every denied claim is a small decision a practice has to make twice: once when the payer says no, and again when someone on the team decides whether it is worth fighting for. Most practices lose money on the second decision, not the first. Denials pile up in a queue, the queue gets old, and the claims that could have been recovered quietly become write-offs.
Denial management is the system that stops that from happening. It is not a single task, and it is not a report you check at the end of the month. It is a workflow with four stages that run in a loop: identify every denial quickly, find the real root cause, appeal or correct it properly, and then fix the process so the same denial does not come back next month. Practices that treat it as a loop recover more revenue than practices that treat it as a cleanup job, because most denials are not random. They repeat.
This guide follows that loop. It covers what denial management actually includes, how a rejection differs from a denial, what current denial rates look like, the six categories every denial falls into with a fix for each, how to build a root-cause worksheet your team will actually use, the numbers that prove the work is paying off, and when it makes sense to hand the whole function to a dedicated team. Every statistic below is cited to its source, and no figure in this article is a claim about Netix itself.
What denial management actually covers
Denial management has four stages, and skipping any one of them is how backlogs form. A practice that only appeals, without finding root causes, will appeal the same denials forever. A practice that only tracks denials, without appealing, is just watching money leave.
1. Identify. Every denial is captured the day it arrives, from every payer, in one queue. Nothing sits in an inbox, a portal, or one person’s memory. If a denial is not in the queue, it does not exist to the team, and that is usually the claim that ages past its appeal deadline.
2. Root-cause. Each denial is categorized by its real cause, not just its code. A code tells you what the payer objected to. The root cause tells you why it happened: an eligibility check that was skipped, a code that did not match the diagnosis, an authorization that expired before the visit. This distinction matters, because you cannot fix a code. You can only fix a process.
3. Appeal or correct. The claim is appealed with the documentation the payer actually asked for, or corrected and resubmitted when the error was yours. Appeals are tracked to a decision, not just sent. An appeal with no follow-up date is a denial with extra steps.
4. Prevent. The patterns from the root-cause data feed back into the front end: eligibility checks, authorization workflows, coding review, and claim scrubbing. This is the stage that makes the other three cheaper over time, because each prevented denial is one fewer appeal to work. A denial management service should be judged on this loop, not on how many appeals it files.
Rejection vs denial: the distinction that changes the response
Staff often use rejection and denial as if they meant the same thing. They do not, and confusing them costs time, because the fix for each is different.
| Claim rejection | Claim denial | |
|---|---|---|
| When it happens | Before adjudication, usually at the clearinghouse | After adjudication, by the payer |
| What it means | The claim was never accepted for processing | The claim was processed and payment was refused |
| Typical causes | Missing or invalid data, wrong member ID, formatting errors | Coverage, medical necessity, authorization, coding, timely filing |
| How you fix it | Correct the data and resubmit as a new claim | Appeal with documentation, or correct and resubmit per payer rules |
| Deadline risk | Low, the claim has not entered the payer system yet | High, appeal and timely filing clocks are running |
A rejection is a data problem. A denial is a payment decision. If your team treats denials like rejections, it will resubmit claims that needed an appeal, and the payer will deny them again. Getting clean claims out the door reduces rejections. It does not, on its own, solve denials, because a technically perfect claim can still be denied for coverage or medical necessity reasons.
Denial rates in 2026: what the data actually says
Denials are getting worse across the industry, and the numbers are consistent enough that a practice can use them as a reality check. According to Experian Health’s State of Claims report, the initial denial rate across US providers rose from 10.2 percent in 2020 to 11.8 percent in 2024. Kodiak Solutions reported the same 11.8 percent figure for 2024. That means roughly one in nine submitted claims now comes back denied on first submission.
The marketplace data tells a similar story. KFF’s analysis of HealthCare.gov insurers found that 19 percent of in-network claims were denied in 2023, and 37 percent of out-of-network claims. The reasons insurers gave are instructive: a vague “other” reason accounted for 34 percent, administrative issues for 18 percent, excluded services for 16 percent, benefit limits for 12 percent, lack of prior authorization or referral for 9 percent, and medical necessity for only 6 percent. In other words, most denials are not clinical disagreements. They are administrative and process failures, which is exactly what a good workflow fixes.
Two more figures frame the stakes. Premier Inc. found that providers spent 25.7 billion dollars on claim adjudication in 2023, up 23 percent in a single year, with the average administrative cost per denied claim rising from 43.84 dollars in 2022 to 57.23 dollars in 2023. And in June 2026, the HHS Office of Inspector General reported that Medicare Advantage organizations overturned 95 percent of appealed skilled nursing facility prior authorization denials. Read that carefully: it is 95 percent of appealed denials in that specific category, not all denials, and only 18 percent of those denials were appealed at all. The lesson is not that payers always lose appeals. It is that a large share of denials are worth appealing, and most of them never get appealed.
Against that background, here are the benchmark ranges practices commonly use to judge their own performance. These are industry targets compiled from MGMA and HFMA survey data, not guarantees, and they move with specialty and payer mix.
| Metric | Healthy | Warning | Critical |
|---|---|---|---|
| Initial denial rate | Under 5% | 5 to 10% | Above 10% |
| Clean claim rate | 95% or higher | 90 to 95% | Below 90% |
| Days in accounts receivable | Under 35 | 35 to 50 | Above 50 |
| AR over 90 days | Under 15% of total AR | 15 to 25% | Above 25% |
| First-pass resolution rate | Above 90% | 85 to 90% | Below 85% |
If your denial rate sits in the warning zone, the problem is usually fixable inside your current workflow. If it sits above 10 percent, something structural is wrong, and the six categories below are where to look first.
The 6 denial categories, and the fix for each
Every denial a practice receives falls into one of six categories. Sorting denials this way is the single most useful habit a billing team can build, because each category has a different owner and a different fix.
1. Eligibility and coverage denials. The patient was not covered on the date of service, the policy had changed, or the service was out of network. Typical codes include CO-11 and PR-1. The fix sits before the visit, not after it: verify eligibility at scheduling and again at check-in, and confirm the subscriber ID and plan details rather than copying them from an old record. A strong eligibility verification process prevents more denials than any appeal workflow ever recovers.
2. Authorization denials. The service required prior authorization and it was missing, expired, or did not cover the procedure performed. Typical code: CO-197. The fix is a tracking discipline: every authorization gets a number, a validity window, and a check before the appointment, not after. Authorization denials are also the category most worth appealing, because the OIG data above shows how often payers reverse themselves when the documentation is complete. See our prior authorization service for how this workflow runs day to day.
3. Coding denials. The code did not match the diagnosis, a modifier was missing or misused, or the claim was unbundled. Typical codes include CO-16 and CO-97. The fix is twofold: claim scrubbing before submission that checks code-to-diagnosis logic, and a coding review loop that feeds the most common coding denials back to the coders who made them. Accurate medical billing and coding is the cheapest denial prevention there is.
4. Documentation and medical necessity denials. The payer decided the record did not support the service, or the documentation was incomplete. Typical codes include CO-50 and CO-96. The fix is clinical, not administrative: the note must show why the service was needed, not just that it happened. Appeals in this category live or die on the documentation attached, so never appeal one without reviewing the note first.
5. Timely filing denials. The claim arrived after the payer’s deadline. Original Medicare allows 12 months from the date of service, but commercial plans commonly allow only 90 days, and some allow less. The fix is a submission calendar with hard deadlines per payer and a daily exception report for claims approaching their limit. Our timely filing limits by payer guide lists the deadlines that matter most.
6. Credentialing and enrollment denials. The provider was not enrolled with the payer, or enrollment had lapsed. Typical code: CO-B7. The fix is enrollment tracking: every provider’s status with every payer, with renewal dates flagged months in advance. These denials are painful because the services were already delivered and cannot simply be rebilled once enrollment is fixed. Credentialing problems are best solved before they become denials, which is why credentialing services and denial management belong in the same conversation.
Once denials are sorted into these six buckets, the pattern usually becomes obvious within a month. One bucket will hold most of the volume, and that bucket is where the next quarter of prevention work belongs.
Building a denial root-cause worksheet
A root-cause worksheet is a simple tracking sheet with one row per denial and one job: to turn a pile of denials into a pattern you can act on. It needs eight columns and nothing more.
- Date received: the day the denial arrived, so aging is visible.
- Payer: which payer denied it, so payer-specific patterns show up.
- Claim and amount: the claim number and the dollars at stake, so the team works the largest amounts first.
- Denial code (CARC): the code the payer sent, such as CO-16 or CO-197.
- Category: one of the six categories above.
- Root cause: the real reason, in plain words, such as “authorization expired two days before visit” rather than just “no auth.”
- Owner: the person responsible for the appeal or the fix.
- Action and deadline: what happens next and by when, including the appeal deadline.
Review the sheet once a week, not once a month. The review has three questions: which category grew this week, which payer drove the growth, and which process change would prevent the top ten denials from recurring. A worksheet that nobody reviews is just a nicer way to store denials. The review is the product.
We built a one-page version of this worksheet that any practice can start using immediately. You can download it here: Denial Root-Cause Worksheet (PDF). Use it as-is, or adapt the columns to your own system. The format matters less than the discipline of filling it in every day.
KPIs that prove denial management is working
Five numbers tell you whether the workflow is improving or just busy. Calculate them monthly, from the same definitions every time, or the trend will lie to you.
Initial denial rate. Denied claims divided by total claims submitted, by count or by dollars. The industry target is under 5 percent. This is the headline number, but it moves slowly, so do not judge a new process on one month of it.
First-pass resolution rate. Claims paid on first submission divided by total claims submitted. This is the number that shows whether prevention is working. When it rises, appeals fall, and the team gets its time back.
Appeal success rate. Appeals overturned divided by appeals filed, tracked by payer and by category. A low rate in one category usually means appeals are being filed without the right documentation. A high rate in another means the payer is denying claims it should have paid, which is useful leverage in payer conversations.
Denial-related days in AR. Denied claims age fast, and aged denials become write-offs. If your accounts receivable aging report shows denied claims drifting past 90 days, the appeal process is too slow, whatever the appeal success rate says. Denied claims that are never worked do not stay denied. They become accounts receivable problems, and then they become lost revenue.
Cost per denial worked. Staff time and vendor cost per denial, tracked against the dollars recovered. Premier’s data put the average administrative cost per denied claim at 57.23 dollars in 2023. If your cost per denial worked is climbing while recovery stays flat, the workflow needs fixing, not more staff.
Watch these five together. A falling denial rate with a falling appeal success rate usually means the team is only appealing easy claims. A rising first-pass rate with rising days in AR usually means new denials are prevented but old ones are ignored. The numbers only tell the truth in combination.
When to outsource denial management
Most practices can handle denial management in-house up to a point. That point is usually visible before the revenue damage is. Consider outsourcing when several of these are true: your denial rate sits above 10 percent for more than a quarter, denied claims regularly age past 90 days, appeals are filed late or not at all, no single person owns the denial queue, or your billers are choosing between working denials and submitting new claims. That last one is the quiet killer. New claims always feel more urgent than old denials, so denials lose every time, and the backlog grows while everyone is busy.
Outsourcing works when the partner is measured on the same five KPIs above, not on activity. Ask any vendor how it categorizes root causes, how fast it works a denial after receipt, and what its appeal success rate is by payer. If the answers are vague, the vendor is selling effort, not outcomes. Our denial management service is built around the workflow in this guide, with systematic follow-up until each claim is paid or resolved, and if you are comparing vendors, our guide to choosing a medical billing company lists the questions worth asking before you sign anything.
If you want a clear picture of where your own denials stand, the fastest next step is a billing audit. It reviews your denial rate, your top categories, and your appeal backlog, and shows you which fixes would recover the most revenue first. Get your free billing audit and bring your last three months of denial data if you have it. The audit is more useful with real numbers than with guesses.
Frequently asked questions
What is a good denial rate for a medical practice?
Under 5 percent is the commonly cited healthy target, with 5 to 10 percent as a warning zone and above 10 percent as critical. These are industry benchmarks from MGMA and HFMA survey data, and they vary by specialty and payer mix. A practice at 12 percent is not necessarily badly run, but it is leaving recoverable revenue on the table.
What percentage of denied claims are recoverable?
Change Healthcare’s data puts recoverability at around 63 percent of denied claims, and Premier’s survey found 54.3 percent of private-payer denials were ultimately overturned and paid after appeals. The exact share depends on the denial category. Eligibility and coding denials are usually correctable. Medical necessity denials depend on documentation. Timely filing denials are often final, which is why prevention matters most there.
What is the difference between a rejected claim and a denied claim?
A rejected claim never entered the payer’s system. It was bounced by the clearinghouse for a data or formatting error, and you correct and resubmit it as a new claim. A denied claim was processed by the payer and payment was refused for a substantive reason, and you appeal it or correct it under the payer’s rules. The fix is different, so the distinction matters.
How long do you have to appeal a denied claim?
It depends on the payer and the contract. Original Medicare generally allows 120 days from the remittance notice for a redetermination. Commercial payers commonly allow 90 to 180 days, but the window varies widely by contract and by state law. Track the deadline from the date of the denial notice, not from the date of service, and file early, because an appeal filed on the last day leaves no room to fix a documentation gap.
Should a small practice outsource denial management?
It depends on volume and staffing, not size alone. A small practice with a low denial rate and one capable biller may do fine in-house. A small practice with a denial rate above 10 percent, a growing appeal backlog, or no dedicated owner for the denial queue will usually recover more by outsourcing than the service costs, because the recovered claims fund the fee. Measure it on appeal success rate and recovered dollars, not on the monthly invoice.
Sources
- HHS Office of Inspector General, “Medicare Advantage Organizations Overturned Nearly All Appealed Prior Authorization Denials for Skilled Nursing Facility Admission, Raising Concerns About Initial Denials,” June 2026.
- KFF, “HealthCare.gov Insurers Denied Nearly 1 in 5 In-Network Claims in 2023, but Information About Reasons is Limited in Public Data,” 2025.
- Experian Health, “State of Claims” report, 2025 edition (initial denial rate trend 2020 to 2024).
- Premier Inc., survey of hospital and health system leaders on claim denial costs, 2023 data.
- Change Healthcare, Revenue Cycle Denials Index (denied claim recoverability).
- MGMA and HFMA revenue cycle benchmark data, as compiled in 2026 benchmark roundups (denial rate, clean claim rate, days in AR targets).
