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One claim in. One denial that never happens.

ClearClaim is a single-purpose system: predict the denial, name the CARC, price the risk, and fix the claim — before it leaves for the clearinghouse.

CLEARCLAIM · PRE-BILL AUDIT
$ intake CLM-48211 · HCFA-1500 · ANTHEM PPO … OK $ deidentify phi=removed kept=prefix,age,payer … OK $ scrub 214 rules · 212 PASS · 2 FAIL $ score 87 HIGH · CO-97 CO-242 · $486.20 at risk $ review biller ✓ agree · ✎ disagree+note $ fix applied in eCW · re-score 4 LOW · RELEASED
How it works

From any intake channel to a validated outcome

01

Intake — API, RPA bot, or report export

HCFA 1500 and UB-04 claims flow in however your systems can send them. No IT project required — claims are reviewed in seconds at enterprise volume.

02

De-identification — PHI-free by design

Patient name, DOB, SSN, address, and full member ID are stripped before analysis. We keep the member prefix, age, payer details, and the full clinical/billing picture — everything adjudication actually depends on.

03

Scrub — four rule libraries, fully transparent

Every rule shows pass or fail. No black box.

04

Score — risk, CARC, and dollars

High / Medium / Low risk with the predicted CARC/RARC codes and the exact dollars at risk.

05

Biller review — your judgment trains the model

Billers agree or disagree with every finding and annotate why. Annotations become validation data that tunes the model to your book of business.

06

Fix & ship — optionally hands-free

The fix bot applies biller-approved corrections inside your EMR/PM, every action logged. First-pass yield climbs.

07

835 closed loop — learn or appeal

Every remittance grades the model. Missed valid denials become new custom rules automatically; incorrect payer denials trigger evidence-backed auto-appeals.

PLATFORM / 01

The 4 rule libraries

Every claim is audited against payer medical & reimbursement policies, government guidelines (NCD & LCD), governing billing rules — CCI/PTP edits, MUE units, timely filing, POS validity, ICD-10 specificity — and custom rules your team writes in plain English, like "Dr. Patel isn't contracted with Aetna."

  • Rules added from your 835 denial history automatically
  • Every pass/fail visible per claim — auditable end to end
LIB 01 · PAYERMedical & reimbursement policies per payer and plan type
LIB 02 · NCD / LCDMedicare national & local coverage determinations
LIB 03 · GOVERNINGCCI/PTP, MUE, timely filing, POS, ICD-10 specificity
LIB 04 · CUSTOMYour denial history + plain-English rules from your team
PLATFORM / 02

Risk scoring & the flagged worklist

Every claim gets a 0–100 risk score, a High/Medium/Low band, the predicted CARC/RARC, and the dollars at risk. High-risk claims drop into a worklist sorted by revenue impact — so your team works the $31,940 DRG claim before the $48 office visit.

  • Payer behavior context: "Anthem denied 78% of modifier-25 claims from this practice"
  • Recommended fixes attached to every finding
CLM-48211MOD-25 / CO-97HIGH$486
CLM-48212DRG 470 / CO-50HIGH$31,940
CLM-4821697110 / CO-151MED$214
CLM-48219G0439 / —LOW$112
PLATFORM / 03

Fix bot — hands-free corrections in your EMR/PM

Approved a fix? The bot logs into eClinicalWorks, Athena, and other PM systems, makes the biller-approved correction itself, and re-scores the claim. Every action is logged — who approved it, what changed, when it shipped.

  • Optional — your team can always apply fixes by hand
  • Nothing changes without a biller's explicit approval
14:02:11 login eCW
14:02:19 open CLM-48211
14:02:24 attach E/M addendum [approved: J.Martinez]
14:02:31 re-score → 4 LOW · release
PLATFORM / 04

The 835 learning loop

When the remittance comes back, the system grades its own homework. A valid denial we missed? A new custom rule is generated automatically. A payer denial that's wrong? An evidence-backed appeal is drafted — and your rule set is protected from learning the payer's mistake.

  • Accuracy, precision, and recall computed on your real outcomes
  • Onboarding starts with a 6-month lookback, so rules exist on day one
835 INVALIDATEMISSED? NEW RULEWRONG? AUTO-APPEAL
Measured on your dashboard

Every prediction, measured in the open

Customized KPI dashboards for billers and leadership — computed from your claims and your remittances, not a benchmark deck.

Expected reimbursements by code Claim volume & throughput Predicted vs. annotated denials Denials caught pre-bill Top denial reasons (CARC) Highest-risk providers & clinics Denial types & trends Model accuracy · precision · recall Payable vs. non-payable amounts Denial rate over time

Your denial rate, cut in half.

Bring six months of claims and remittance data — we'll show you exactly which denials we would have predicted, and what they cost you.