Most Practices Don’t Know Their Real Number
Ask three people in the same practice for the denial rate, meaning the share of bills an insurer refuses to pay, and you’ll get three numbers, all sincere, none comparable. One counted clearinghouse rejections (bounced before reaching the insurer) as denials; one didn’t. One counted line-level denials; one counted claims (whole bills to insurers). One quietly excluded the resubmissions, which flatters everything.
A denial rate you can’t define is a number you can’t manage, and it’s why practices believe they’re fine right up until the cash says otherwise. Finding the real denial rate for a medical practice starts with writing the definitions down.
Count It Honestly
Pick definitions once, write them down, and never let the counting flatter you. Separate the three species: clearinghouse rejections, which never reached the payer; payer denials, which reached the payer and were refused; and underpayments, which were paid wrong and are denials wearing a disguise. Then fix the two ratios that matter.
First-pass rate: of claims submitted, how many paid without any human touching them again; count a resubmission as a first-pass failure even if it eventually paid, because the rework was real. Denial rate: denied lines against submitted lines for the same period, with zero exclusions. The honest version of these numbers is usually worse than the believed version, which is exactly why it’s worth computing.
The gap between them is the size of the invisible rework operation your team is quietly running.
What the High First-Pass Practices Do Differently
Practices that hold first-pass rates of 95% and above aren’t lucky with payers and don’t employ superhuman billers. The pattern is structural and boringly consistent. They submit daily instead of weekly, so defects surface in days. They run edits before the payer ever sees the claim. They’ve fixed the upstream causes that repeat: registration, eligibility timing (confirming coverage before the visit), auth runway, coding thresholds, covered in the prevention guide.
And they treat every denial that still gets through as a defect report to trace, not just a claim to rescue, which is the working-denials system. High first-pass isn’t a talent. It’s a supply chain with quality control at every station.
Watch the Trend, Not the Snapshot
The single number matters less than its movement and its splits. Weekly first-pass by payer catches a payer’s rule change while it’s days old. Denial reasons trended over months show whether prevention work is actually fixing the causes or just relabeling them. And the split by clinician, handled with care and context, turns coding feedback from an annual awkwardness into a normal metric.
The reporting rhythm belongs on the same page as the rest of the owner’s ten numbers: weekly, named, and boring, which is what good looks like.
Check Yours This Week
Compute the honest version once: one month, definitions written first, rejections and denials and underpayments counted separately, resubmissions scored as first-pass failures. Then compare it to the number the practice believed. The distance between those two figures is your starting point, and it’s the last time the counting will surprise you if you keep the definitions.
Where to Start
If the honest number is worse than the believed one, the denial prevention guide shows which causes keep creating the difference. If you want to see what the measured version looks like running live, grab 30 minutes with us: prep nothing, and you’ll see the splits that make the number movable.
Questions people ask
How do I calculate my real denial rate?
Count every claim that did not pay in full on first submission, not just the ones that came back with a denial code. Underpayments, partial payments, and claims that needed rework all belong in the number. Most practices quote a figure their own system cannot support.
What is a good denial rate for a medical practice?
Under 5 percent is generally considered healthy, while industry averages have climbed above 11 percent. The comparison matters less than the trend, because how you count it varies enough between practices that benchmarking against somebody else means very little.
Why is my denial rate different from my billing company’s number?
Usually because you are counting different things. A billing company may count only formal denials. A practice cares about every claim that did not pay correctly the first time. Agree the definition before comparing the figures.
Should I watch my denial rate as a snapshot or a trend?
A trend. A single month moves with payer mix, volume, and timing enough that the absolute number tells you little. The direction across four or five months is what shows whether anything is actually changing.