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RCM Glossary

First-Pass Resolution Rate (FPRR)

Reviewed by the ImmediCare RCM team Updated 4 min read
Quick answer

First-pass resolution rate (FPRR) is the percentage of claims paid in full on the first submission, with no rework, resubmission, or appeal. Well-run billing teams target 90%+ FPRR; every claim that misses first pass costs roughly $25 in rework labor before it pays.

Target
90%+ ; elite teams 95%+
Formula
Claims paid on first submission ÷ total claims submitted
Cost of a miss
~$25 rework cost per claim
Measured
Monthly, by payer and by denial reason

What does first-pass resolution rate actually measure?

FPRR measures the share of claims that get paid correctly the first time you submit them — no clearinghouse rejection, no denial, no resubmission, no appeal, no phone call. It is the single best summary metric for how healthy your whole front end is, because a first-pass failure can come from anywhere: registration, eligibility, coding, authorization, or the claim file itself.

That is also why it matters more than any one department's numbers. Your coders can be perfect and your FPRR can still crater because the front desk keyed the subscriber ID wrong.

How do you calculate FPRR?

Divide claims paid on first submission by total claims submitted in the same period. Run it monthly, and break it out by payer.

Quick example: you submit 1,200 claims in March. 1,062 pay with no touches; 138 reject, deny, or underpay and need rework. FPRR = 1,062 ÷ 1,200 = 88.5%. At roughly $25 of rework labor per failed claim, those 138 claims cost about $3,450 in payroll that month — before you count the ones you never collect.

Common mistake: counting clearinghouse "accepted" as first-pass success. Acceptance means the file format was valid, nothing more. Measure against paid claims, or your FPRR will look 5–10 points better than reality.

How is FPRR different from clean claim rate?

A clean claim describes the input: the claim had no defects when it left your system. FPRR describes the output: the payer actually paid it, first try. The gap between the two is where coverage-based denials live — eligibility, coordination of benefits, medical necessity. A practice can run a 96% clean claim rate and an 87% FPRR, and that 9-point gap tells you the problem is verification and coverage, not claim formatting.

How do you raise first-pass resolution?

  1. Verify eligibility twice — at scheduling and at check-in. Plan changes between booking and visit are a top first-pass killer.
  2. Tighten claim scrubbing with payer-specific edits, and review your top rejection reasons every month.
  3. Work the denial data backward. Pull your top 5 denial codes in the denial code lookup, find the root cause, and fix the upstream process instead of just reworking claims.
  4. Track FPRR by payer. One Medicaid MCO with a 70% first-pass rate can drag your blended number down two full points while every other payer looks fine.

Each point of FPRR improvement shows up directly in lower A/R days and a smaller 90+ bucket on your aging report.

Frequently asked questions

90% or higher is the working target for most practices; high-performing revenue cycle teams sustain 95%+. If your FPRR is under 85%, more than one claim in seven needs manual touches before it pays, and that rework cost is coming straight out of margin.

No. Clean claim rate measures claims that pass edits without errors when submitted. FPRR measures the outcome — claims actually paid on first submission. A claim can be technically clean and still fail first pass because eligibility lapsed or the payer disputes medical necessity.

Most teams count a claim as first-pass resolved only if it pays at the expected contracted amount without follow-up. A claim paid at 50% of expected that requires an appeal for the balance failed first pass, even though money moved.

IC

Reviewed by the ImmediCare Solutions RCM team

Certified billers and coders handling claims across 50+ specialties nationwide. This entry is reviewed against current payer policy and CMS rules. Last review: Jul 5, 2026.

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