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Denials

How to reduce claim denials.

Most denials are preventable. The practices with low denial rates are not lucky. They fix the front end and work the patterns.

June 2026 ยท 5 min read

Reducing claim denials starts with measuring your denial rate by payer, reason code, and service line, since a healthy target is under 5 percent and most practices sit above it without realizing it. From there, fixing eligibility checks, prior authorization, and documentation up front prevents the majority of denials, and grouping the rest by root cause fixes the pattern instead of working claims one by one.

A denial is not the end of a claim. It is rework. Someone has to read the reason code, find what was missing, correct it, and resubmit, often weeks after the visit. Industry benchmarks put the cost of reworking a single denied claim around $181, and a large share are never reworked at all. The goal is not to get better at appeals. It is to send fewer claims that get denied in the first place.

Start by measuring your denial rate

You cannot improve what you do not track. Your denial rate is the share of claims rejected or denied on first submission. A healthy target is under 5 percent, though many practices sit well above that without realizing it. Break the number down by payer, by reason code, and by service line. The point is not one number. It is finding where the number is worst.

Fix the front end first

Most denials are decided before a claim is ever sent. Three checks prevent the majority of them:

  • Eligibility and benefits. Verify active coverage before the visit, not after the denial. Coverage lapses and plan changes are a leading cause of avoidable rejections.
  • Prior authorization. Confirm that required authorizations are in place and that the auth matches the service and code being billed.
  • Clean documentation and coding. Make sure the note supports the codes, the referral is attached, and the demographics are correct.

None of this is glamorous. All of it is cheaper than an appeal.

Work the patterns, not the pile

A worklist of 400 denials feels like 400 problems. It is usually four or five. One payer, one reason code, one service line tends to drive most of the loss. Group your denials by root cause and fix the cause, so the same denial stops happening next week. Working claims one at a time is how teams stay busy and still fall behind.

Track first-pass approval over time

First-pass rate is the share of claims that clear on the first try. It is the cleanest signal that your front-end fixes are working. Watch it weekly. When it climbs, your denial rate falls and your cash arrives sooner, with less rework along the way.

Where Heron fits

Heron runs these checks for you, alongside the team and EMR you already use. It scores risky claims before they ship, names what is missing in plain language, and groups denials by root cause so leadership sees the patterns, not the noise. You can read more about denial prevention and denial intelligence.

Common questions, answered plainly.

What is a healthy claim denial rate?

A healthy target is under 5 percent of claims rejected or denied on first submission, though many practices sit well above that without realizing it because they aren't tracking the number by payer, reason code, and service line.

What's the fastest way to lower a denial rate?

Fix the front end first: verify eligibility and benefits before the visit, confirm prior authorizations match the service being billed, and make sure documentation and coding are clean before the claim goes out. Most denials are decided before a claim is ever sent.

Should denials be worked one at a time or by pattern?

By pattern. A worklist of hundreds of denials usually traces back to four or five root causes, one payer, one reason code, one service line. Fixing the cause stops the same denial from recurring, instead of working each claim individually and falling behind.

Catch the denial before it costs you.

A free audit of your last 90 days shows which denials were preventable and what is still inside timely filing.