Clean claim rate: the metric that decides how fast you get paid.
Clean claim rate is the share of claims that pay on first submission without correction. It is the single most controllable driver of cash-flow speed in home care, and it is measurable by payer with data you already have.
What counts as a clean claim
Under federal Medicaid law at 42 USC 1396a(a)(37)(A) and 42 CFR 447.45, states must pay 90 percent of clean claims within 30 days and 99 percent within 90 days. The clock only runs on clean claims, so the definition matters.
A clean home-care claim needs a valid authorization with matching service code and dates, correct procedure codes and payer-specific modifiers, valid EVV data at the aggregator, submission inside the timely-filing window, correct payer ID and verified member enrollment on the date of service, and every required field on the 837P populated. Any one of these missing bumps the claim off the clean count.
Why home-care clean rates run structurally lower
A home-care claim has more prerequisites than a physician visit. An authorization, an EVV record, and a visit note all have to match before the claim can go out clean.
The work sits across fragmented systems: scheduling, delivery, EVV capture, documentation, and billing, often in different tools with different owners. Any handoff can drop a field, and the field is invisible until the payer flags it.
Root causes by category
- ›Authorization failures. Missing, expired, or unit-exhausted authorizations that show up as CO-197.
- ›EVV gaps. Transmission failures between the EMR and the state aggregator, and paper backups not reconciled in the payer's window.
- ›Procedure-code and modifier errors. CO-4 for missing or invalid modifiers and CO-11 for diagnosis-procedure mismatches, usually driven by an out-of-date code set in the EMR.
- ›Member eligibility errors. Monthly Medicaid enrollment changes that leave the member with a different plan ID than the one on file.
Measure it by payer
An aggregate clean claim rate hides the variation that would actually let you fix something. Calculate claims paid on first submission divided by claims submitted, per payer, monthly. Then cluster the first-pass denials by CARC to find the root cause on each payer.
A 92 percent aggregate rate that includes two payers at 98 percent and one at 74 percent is not a 92 percent problem. It is a 74 percent problem hiding inside good average math.
Clean claim rate versus net collection rate
Clean claim rate measures the process, how often the claim goes out right the first time. Net collection rate measures the outcome, what share of allowable revenue was ultimately collected.
You need both. Strong follow-up can rescue a low clean rate, but only at the cost of billing labor and a longer DSO. Improving clean rate reduces the rework that follow-up is compensating for.
Plain answers, on the record.
Collect is money you never captured. Cover is money a payer can still take back.
Reeve reports the two separately and never adds them together, because only one of them is yours to go and get. The Margin Review reads both on your own export and costs nothing.
One pass over your own export, in your browser. The findings are yours to keep, with no obligation.
The recovery lane. Care you delivered and never billed, units short of what was authorized, lines paid under the published rate.
Everything in Collect, plus the exposure lane. Retired codes, authorizations at the end of their period, care delivered past what was approved.
Month to month, no annual contract. Read-only in every tier. Run the free review.
See your clean claim rate by payer.
The Margin Review calculates first-pass clean rate per payer from your own submissions and remittances, then clusters the first-pass denials by cause.