One platform, running the
whole operation.
OMNARA sits above the systems a provider already runs — EHR, intake, payer portals — and coordinates the administrative and operational work across them. It is not an EHR and not a chatbot. This is how it works, end to end.
A day on OMNARA
An owner or operator signs in once. OMNARA is the only app they need to run the operation.
Command Center
The day's readiness funnel — Scheduled → Intake → Eligibility → Auth → Ready — with dollars at stake and an attention queue. "Run tomorrow" cascades the day's work through every module at once.
Procedure readiness
Each procedure is the connective spine: prior auth, eligibility, intake, scheduling, estimate, referral, documents, communications, and clinical items each feed its readiness — with one-click inline actions. Acting on a lane re-computes readiness live.
Revenue operations
Estimates, claims, denials with specific reasons, appeals, and ROI — the financial workflow that turns readiness into collected revenue.
The whole business
HR & payroll, credentialing & payer enrollment, procurement & supply, and the finance close — trial balance, statements, budgets, period close, reconciliation. Money-moving steps run through an approval → paid loop that posts balanced double-entry journals.
Compliance Command Center
A live posture against HIPAA and CMS-0057-F with a Jan 1 2027 countdown, prior-authorization decision-timeframe SLAs, and FHIR Da Vinci readiness.
Export & compliance
Export any or all data, including the immutable audit trail, to prove compliance. Every export is tamper-evident and itself logged.
How it works
A control plane, not a point tool. The same pipeline runs under every workflow:
The AI proposes and classifies. It is never the authority and never the system of record. Policy is deterministic; the ledger and the canonical model are the truth. That is what makes operational autonomy safe to trust.
The modules
One architecture, seven ways in — all sharing one context engine, one policy layer, and one governed guard.
Intelligence
Context, agents, and copilots — the reasoning layer across every module.
Clinical
Clinician workspace and clinical readiness. AI drafts; a licensed clinician commits every clinical action.
Operations
Readiness orchestration, scheduling, intake, work queues, exceptions.
Finance
Estimates, claims, denials, the finance close, payroll, procurement — with a human-approved money-movement loop.
Patient
Front door, communications, and portal — the patient-facing experience.
Data
Immutable audit, tamper-evident exports, and the compliance command center.
Connect
Integrations and FHIR interoperability — the universal adapter to the systems you run.
Built for scale & real-time
The data paths are designed to stay flat as data grows into the millions. Offset pagination scans and discards every skipped row; keyset pagination seeks straight to a cursor through an index — constant cost at any depth.
| Page depth (500,000 rows) | Offset | Keyset | Speed-up |
|---|---|---|---|
| Page 1 | 4.2 ms | 1.4 ms | 3× |
| Row 250,000 | 18.3 ms | 1.4 ms | 13× |
| Deepest page | 47.8 ms | 1.3 ms | 37× |
- Streaming exports with bounded memory — a multi-million-row export streams row by row and never buffers in server memory.
- Tenant isolation enforced in the database (row-level security) on every query, so data never crosses organizations.
- Operational posture — connection pooling, rate limiting, request-id correlation, and liveness/readiness probes.
The 500k-row benchmark shows the shape of the two curves — a property of the query plans, not the hardware. Sustained multi-million-row throughput is validated on production-sized infrastructure as part of a deployment.
The safety model
Why an owner can trust operational autonomy here.
No autonomous money movement
Payroll, purchase orders, and vendor payments require human approval; approval posts balanced double-entry journals. The system of record is the ledger, never the AI.
Deterministic action guard
Every external side effect is risk-classed. HIGH requires human approval, CRITICAL is rejected, and in simulation external actions are intercepted and recorded, never sent.
PHI hygiene & isolation
PHI stays out of logs, URLs, and model prompts. Row-level security scopes every query to one tenant, and all PHI access is audited.
Fail safe, never silent
After a critical failure the system stops and escalates to a human rather than continuing a workflow.
What's live vs. what's next
Stated plainly, because trust is the product. Nothing that needs a credentialed environment is faked.
Working today
- End-to-end readiness, revenue, back-office, and the finance close on synthetic data
- Compliance posture, prior-auth SLA, and tamper-evident exports
- Complete, governed integration abstractions running in simulation
- The scale paths (keyset pagination, streaming exports) and edge hardening
Turns on with a contract
- Live connectors — payer FHIR, clearinghouse/X12, bank/ACH, distributor EDI, SSO/SCIM
- Production TLS, KMS / PHI-at-rest encryption, managed event broker
- A formal WCAG 2.1 AA audit and a third-party HIPAA assessment before any external certification claim
- Scale validation on production-sized infrastructure
See it run your operation, end to end.