Synthetic, PHI-free capability demo

See AdmitScore™ analyze a synthetic SNF referral packet.

This public example uses synthetic data only. See the actual application review a referral: authorization readiness, missing documentation, a denial-risk signal, and packet-derived findings linked to source quotes and pages.

The tool, working

Watch the review run, then scroll it at your own pace.

Screen recording of the actual AdmitScore™ application in demo mode. Synthetic data only; public materials never process real referral packets.

Scroll the review. Follow the recommendation, verification steps, medication review, and source-linked flags at your own pace.

The AdmitScore application reviewing a synthetic referral in demo mode: recommended action ACCEPT WITH CAUTION with Referral Fit 70 out of 100 and Financial Fit 83 out of 100, projected margin, verification steps, medication review, and clinical flags
The AdmitScore™ application in demo mode. Synthetic data only; public materials never process real referral packets. Use touch, a mouse wheel, or arrow keys to inspect the full review.

Want this run beside your own referral workflow?

Request a pilot
Input
Synthetic referral packet with payer, therapy, medication, and care notes.
Output
Accept with caution, Referral Fit, denial-risk signal, and review items.
Evidence
Packet-derived flags show a quote and page; modeled signals show their inputs.
Guardrail
Facility staff verify outputs and make the final admission decision.
What the team sees

Each flag becomes a verification step, not a hidden AI assertion.

  • Auth gap: confirm approval, reference number, approved days, next review date, and network status.
  • Missing-doc list: request current therapy details, final signed orders, medication reconciliation, and discharge instructions.
  • Denial-risk signal: use payer and authorization evidence as planning context, not a payer or reimbursement determination.
  • Source evidence: reviewers can inspect the exact quote and jump to the packet page before relying on a flag.
The AdmitScore application reviewing a synthetic referral: recommended action ACCEPT WITH CAUTION, Referral Fit 70 out of 100 with confidence indicators, verification steps, outcome recording, and a decision summary narrative
The actual AdmitScore™ application reviewing a synthetic referral packet. Public materials do not process or publish real referral packets.
Pilot guardrails

Public proof first. Secure pilot workflow second.

This page is intentionally synthetic. Live referral review requires scoped pilot setup, secure intake, facility access controls, and staff verification.

No public PHI intake

Public website forms should not receive patient records or identifying details. The demo above is static and synthetic.

Decision support only

AdmitScore helps staff review evidence, ask clarifying questions, and document risks. Facility staff make the final decision.

No outcome claims

The example demonstrates capability and evidence depth. It does not present payer, reimbursement, cost, or denial outcomes as promised results.

Want to see this against your referral workflow?

Start with a synthetic packet readout or the longer AdmitScore™ sample report, then scope the secure pilot path for real referral review only after the right agreements and controls are in place.