SUT billing rule intelligence

The reimbursement rulebook, made traceable

Bilun reads the SUT the way an audit does — surfacing recoverable revenue, flagging compliance gaps, and turning rejections into corrective playbooks.

Launch app → See the product

Safa Oksuz — Founder & CEO · built for hospital billing teams

app.bilun.tech
Bilun patient workspace with SUT billing analysis

What Bilun does

A working layer of rule intelligence over your claim data — connecting clinical activity, invoice lines, and the official tariff so finance, coding, and clinical teams see exactly where money is at risk and why.

Revenue recovery

Finds underpayments, copay-rate errors, lab bundling gaps, and package-adequacy misses at both the patient and cohort level — each amount traced to the SUT clause that supports it.

Pre-submission compliance

Flags surcharge prohibitions (EK-2G, §1.9.3), copay exemptions (EK-1A), and EK-2C-1 rate mismatches before claims leave the building — not after MEDULA rejects them.

MEDULA rejection triage

Maps each rejection code to the offending claim line and a SUT-anchored corrective playbook — report missing, ÜTS barcode, package bundling, duplicate procedure — so rebills go out correct the first time.

Rule database

A searchable corpus of SUT clauses, material-bundling rules, and drug-indication constraints — with the source text behind every recommendation, verifiable on demand.

Inside the workspace

A single surface for the people who review hundreds of cases — dense, source-cited, and built for the audit, not the demo.

app.bilun.tech/patient
Per-patient SUT billing report
Patient workspace — copay, surcharge, and package findings per claim line.
app.bilun.tech/?tab=operations
MEDULA rejection queue with corrective playbooks
MEDULA rejection queue — each red points at the offending line + a rebill playbook.
app.bilun.tech/?tab=rule-database
SUT rule database with source clauses
Rule database — every recommendation traceable to its SUT clause.

When the inputs are missing, Bilun says unavailable — it never invents a number that won't survive an audit.

That distinction is the whole product. Estimates that look precise but aren't defensible cost hospitals more than the gaps they pretend to close.

See it on your data

The product is live. Sign in with your credentials to explore the workspace, or get in touch to discuss a pilot on your claim cohort.

Launch app → Contact Bilun