The denial report is open, and the instinct is instant: work the pile, call on the first one, rebill the second, clear the red before lunch.
Honest work, but usually the wrong first move.
Here’s the answer: a denial (the insurance company’s refusal to pay, with a reason code) was made long before it hit that list, at a specific step, by a specific gap.
The same few gaps make most of your denials, so start where the same gaps keep creating refusals, not where they stack.
Working the pile treats smoke. Find the fire.
A visit becomes a charge (the visit written as a billable line), then a claim (the bill sent to the insurer), and the insurer pays, refuses, or goes quiet.
The refusal lands in a report that begs to be worked line by line, but that report is downstream.
Coverage not checked, wrong code, missing info, wrong payer (insurance company), or a takeback later: those are the same causes over and over.
Name the denial cause that produces most of yours, or you will fix the same denial again next month.
Nearby maps: where claims get stuck, unpaid appointments, and the note-to-claim gap.
The five places a denial is usually made
- Before the visit: coverage or prior authorization (the insurer’s advance approval) never confirmed.
- At charge entry (entering the billable line): wrong code, wrong units, wrong provider setup.
- At claim build: missing data the insurer requires.
- At routing: sent to the wrong payer or insurance plan.
- After pay: money paid, then pulled back (a takeback, or recoupment).
Most practices don’t have “random denials.” They have one or two denial causes on repeat.
Count denials by cause before you dial.
Count your denials honestly before you judge them
You can’t manage a number you’re measuring wrong.
Most practices quote a denial rate their own system can’t actually support, because it counts only the denials someone wrote down, or it mixes the first refusal with the final outcome.
Count every claim the insurance company refused on first pass, against every claim you sent, in the same window, and the honest number is usually higher than the quoted one.
That gap is the first thing worth knowing, because it tells you how big the problem really is before you spend an hour on it.
Work the pile you have as an owned list
The denials already sitting there are cash with a deadline, not busywork.
Turn the pile into an owned list that shrinks, sorted by dollars and by the appeal window (the time you have to challenge a denial before it closes for good).
Work the biggest, closest-to-expiring ones first. A denial has a clock on it, and a claim left too long passes the point where the insurance company will hear an appeal at all.
Every day the pile sits untouched, some of it crosses that line and stops being reachable.
Inventory is a job and prevention is a job, so don’t pretend one replaces the other.
Match the prevention to the cause
- Eligibility denials (refusals because coverage wasn’t active or not checked): fix the check before the visit.
- Auth denials: confirm prior authorization before the service, not after the refusal.
- Coding or charge denials: fix charge entry and the note that supports it.
- Build / scrub denials: run a claim scrub before send (a prevention checklist against known rules).
- Routing denials: confirm the payer and plan before the claim leaves.
- Takebacks: fix the root that made the original payment unstable (coding, auth, eligibility).
Prevention that ignores the cause is theater, but prevention matched to the cause shrinks next month’s pile.
The denials a machine makes in seconds
Some denials are no longer a person’s decision at all.
Insurance companies refuse claims automatically, in seconds, and the machine behind it applies the same rules to every claim it sees.
That cuts both ways: if a rule is denying your claims, it’s denying all of them the same way, so the fix is systematic too.
Find the pattern the machine is matching, correct it once at the source, and the automatic denials stop as fast as they started.
Start here: stop the denial before it is submitted
The one place that shrinks the pile for good is before the claim is sent.
Check each claim against the coverage, the codes, and your own history of what this insurance company has refused before. A claim that matches a past denial is a denial waiting to happen, and catching it now costs nothing.
Everything before submission is prevention, and everything after it is cleanup.
Why sorting by age misleads you
Oldest first feels fair, but it’s a poor ranking for cash.
A small old denial and a large new denial from the same cause aren’t equal work, so dollars and appeal window beat age alone.
Age-sorted piles also hide the same cause on repeat: you work twenty different reasons and never see that twelve came from one missing check.
Sort by cause and dollars first, with age as a tiebreaker.
Real situations that refill the same pile
A practice clears eligibility denials all month, then books next month’s visits without checking coverage again, so the pile refills from the same gap.
Another practice wins coding appeals and never fixes the charge entry habit that produced them: same codes, same refusals, same week next month.
A third posts takebacks as “payer noise” and never asks which upstream gap made the original payment unstable.
Inventory vs prevention (both jobs)
Inventory: the owned list of denials you already have, ranked by dollars and appeal window.
Prevention: the upstream check that stops the next claim from becoming a denial.
Do inventory this week so cash doesn’t expire, and do prevention this week so next week’s inventory is smaller.
If you only inventory, you forever mop, but if you only prevent, old cash dies on the floor.
What to do this week (simple check)
- Pull last month’s denials.
- Tag each one with the cause (eligibility, auth, charge/code, build, routing, takeback).
- Count dollars by cause. Name the hottest one.
- Build an owned list for the current pile: dollars and appeal window first.
- Add one prevention check that matches the hottest cause before claims leave this week.
Why this belongs to whoever watches the money path
Billers work the pile, and that’s necessary, but it isn’t sufficient.
Whoever watches the path from visit to bank owns the cause count and the prevention match, and without that owner, every month looks like a new pile of unrelated refusals.
What this means next to the claims map
Denials are one reason claims stall on the claims path map. The map shows where money stopped, and this piece shows which upstream gap keeps creating the refusal.
Use both: map for location, cause count for why.
What this means for you
Pull last quarter’s denials and sort them two ways: by the place they were made and by dollars.
The place tells you where to fix the cause, and the dollars tell you which cause to fix first.
Then pick the single biggest category and trace one claim back to the step that produced it. Fix that step, and you stop a stream of denials instead of working them one at a time.
Grab 30 minutes with us. Prep nothing. You will see where your denials are being made, and which fixed step would stop the most of them.
Questions people ask
Why do medical claims get denied?
Medical claims get denied at five points, and the same few causes repeat. Coverage or prior authorization (the insurer’s advance approval) wasn’t confirmed, the code or charge was wrong, or the claim was missing data. Or it went to the wrong insurer or plan, or it was paid and later taken back. Count your denials (refusals to pay) by cause before you work them.
What’s a good denial rate for a medical practice?
Under 5% is good. The typical practice has 7 to 8% of claims denied, refused by the insurer, on first submission, and MGMA’s July 2026 data shows it stuck there for four years. That’s the status quo, and ‘that’s just the way healthcare is’ isn’t a reason to accept it. We held 95% or more of claims paid on the first try. Count yours honestly before you compare.
Should I work old denials or prevent new ones?
Do both this week. The denials already sitting there are cash with a deadline, so work them by dollars and by how close each is to its appeal window (the time you have to challenge a denial). At the same time, add one check that stops your most common cause before claims leave. If you only work the pile, you mop forever.
Can denials be prevented before the claim goes out?
Yes, and that’s the one place the pile shrinks for good. Before a claim (the bill to the insurer) leaves, check it against the patient’s coverage, the codes, and your own history of what this insurance company refused before. A claim that matches a past denial is a denial waiting to happen, and catching it then costs nothing.
Are insurance claim denials automatic now?
Some are. Insurance companies refuse some claims automatically, in seconds, applying the same rules to every claim they see. That cuts both ways, because a rule denying your claims denies them all the same way. Find the pattern it’s matching and correct it once at the source, and those denials (refusals to pay) stop as fast as they started.