The sequencing engine

A claim walks in.
A cited number
walks out.

Not a rules engine — rules are why the system is stuck. The Claims Genomics Model is a learning system: it turns every claim into a 48-feature genome, learns what normal looks like from your own data, and argues both sides before a human signs.

19µs per claim, pre-payment※enterprise pre-payment engine · production telemetry 95.2% accurate vs. paid history※validated against adjudicated claims history ~14% of our own work self-blocked※self-review gate · engineering telemetry

Step 01 — Sequence

Every claim becomes a genome.

48 features.
Two strands.
One vector.

The care strand carries the clinical truth — diagnoses, trajectory, dose plausibility. The claims strand carries the financial truth — codes, charges, payer behavior. Most systems read one. The genome reads both, together.

dx cluster · representative charge vs. ASP treatment trajectory MUE practitioner limit dose plausibility charge vs. MPFS episode coherence payer 835 pay-rate chart-note proximity ±3d timely-filing posture units · decimal pattern …37 more per claim

An autoencoder learns normal from tens of millions of your own claims — then flags what doesn't reconstruct. No hand-written rules. 28 novel patterns※unsupervised discovery · integrated-payer engagement found this way that no rulebook contained.

Step 02 — Argue

Both sides, against ourselves, on every claim.

A claim's path across the desk.

The same handoff a denied claim walks in a real revenue-cycle shop — each stage has one owner, and payer intelligence feeds the routing the whole way.

◎

surfaced

The genome flags it

The sensor finds the claim and its dollars.

coded

The Coder

Chart vs. billed line — dose & units plausibility.

adjudicated

The Adjudicator

Adjudicable? Cleanest legal posture; timely-filing.

routed

The Router + desk

Right patient account center, signatory & address; desk tailors posture.

audited

The Auditor

No claim without a quote. CLEARED / FIX / HELD.

decided

The Director

One payer-tailored plan; recommends go / no-go.

✓

approved

You

A person clicks Approve & file. Nothing auto-mails.

adversarial by design — CCPRA argues the provider · CCPVA argues the payer · a human rules

Step 03 — Show the work

Glass-box, or it doesn't ship.

Every determination shows its receipts.

A risk score is an opinion. A determination is a case — cited to the contract clause, the code, the regulation in force on the date of service, and the chart. Defensible to provider, payer, and regulator alike.

The self-review gate blocks ~14% of our own work before it ships. Trust is built by what you refuse to send.

Objective value$2,847.50
Variance vs. billed−$1,113.20

Seven pillars — each cited, each independent

  • Contract — rate sheet §4.2, in force on DOScited
  • Code — CPT 99291 + MUE limitcited
  • Regulation — prudent-layperson standardcited
  • Chart — TIU note within ±3 days of DOSquoted
  • Payer policy — versioned by date of serviceon file
  • Human authority — reviewer signs the determinationsigned
Benefit of the doubt · never deny on ambiguity — route to a human

Step 04 — Move first

Pre-payment, not pay-and-chase.

19 microseconds.
Before the dollar moves.

Recovery is the apology; prevention is the product. The same genome that wins appeals scores every claim pre-payment — so gaming stops paying and pay-and-chase ends.

The engine earns automation one mode at a time: shadow, then recommend, then automate
EARNED AUTONOMY — shadow → recommend → automatethe engine earns each mode with evidence — the org stays in control

Step 05 — Hunt where the waste lives

High-volume, low-value — that's where a genomic profile pays.

Everyone audits the whales.
The waste is in the krill.

Inpatient is high-dollar and well-policed — ~2% improper※CMS CERT FY2024. The waste concentrates in millions of small claims a day — where rules engines can't tell a justified course of care from a non-tapering episode. Clinical signal and billing signal have to be read together.

servicebilling patternclinical signal that decides it
Behavioral healthSession-length upcoding · 90837→90834Flat functional scores; short sessions billed long
Physical therapyNon-tapering, flat trajectory · 97110AM-PAC plateau past week 16
LabComponent billing vs. panel · 80048→80053Same-day draws; 14 tests unbundled

improper-payment rate by service family · sources※CMS CERT FY2024 · OIG A-05-14-00041 · A-09-21-03006 · A-06-23-01002

Inpatient IPPS
~2%
Home health
6.7%
Skilled nursing
15.1%
Behavioral health
58%
Physical therapy
61%
ABA (Medicaid)
100%*

Medicare FFS average 7.66% · *sampled enrollee-months with any improper line

The provider sees it before the claim goes out — not after a recoupment letter. The patient gets the right service at the right intensity. Abrasion goes down, not up.

Enterprise-grade, by construction

Built where the bar is highest.

Built and assessed against the most demanding security baseline in U.S. healthcare, running against Cerner and Epic in production. First enterprise-grade production deployment (ATU) in under 18 months※production authorization record.

FedRAMP High Ready Enterprise-grade production · ATO in process 421 NIST controls 100% HIPAA Cerner · Epic Glass-box by design

See it on your data

Bring your 837s and 835s.
We'll show you the DNA.

A scoped read of your claims — the recoverable pool by path, every number with its provenance, in weeks not quarters.