AI admissions analysis for skilled nursing referral packets.
AdmitScore™ helps SNF admissions teams turn referral packets into a structured review of payer risk, Medicare Advantage authorization readiness, documentation gaps, high-cost medication concerns, operational fit, and financial planning context.
- Referral packet analysis
- Organizes admissions-relevant facts from the packet for staff review.
- Payer and authorization signals
- Flags MA, network, authorized days, and missing verification questions.
- Documentation and care fit
- Highlights possible missing notes, orders, medication, and staffing concerns.
- Human final decision
- AdmitScore supports review; facility staff verify and decide.
Built for the exact SNF admissions analysis workflow.
General AI summaries can miss the admissions decision context. AdmitScore is focused on the questions SNF teams ask before holding a bed.
What payer is documented?
Surfaces payer type, Medicare Advantage indicators, network questions, and authorization details that may need confirmation.
What is missing?
Calls attention to possible missing therapy notes, skilled-need support, orders, med lists, or history-and-physical documentation.
What could change cost or fit?
Highlights high-cost medications, isolation, wounds, therapy intensity, and service line fit for facility review.
What should staff verify?
Produces follow-up questions for the hospital, payer, family, pharmacy, or internal clinical team.
What can clinical roles see?
Referral Fit is financial-free for admissions and clinical review, so payer and margin context does not leak into clinical judgment.
What can administrators review?
Margin Score adds PDPM, denial-risk, payer assumptions, and cost-driver planning context. Estimates are planning aids, not reimbursement guarantees.
Review Before Acceptance
Packet contains payer and medication signals that should be verified by facility staff.
- Confirm approved SNF level of care and authorized days.
- Request missing therapy note or skilled-need support.
- Verify whether high-cost medications are carved out.
- Check staffing and service line fit before acceptance.
Admissions teams need a review-ready answer, not a generic summary.
AdmitScore keeps the workflow narrow: referral packet review, payer questions, documentation gaps, operational fit, and planning context before the facility makes the final admission decision.
- Cautious by design: outputs use verify and needs-review language.
- Source-oriented: staff can check findings against referral documents.
- SNF-specific: built around MA, skilled need, PDPM, and margin signals, including MDS Section GG review questions.
Evaluate AI admissions analysis with synthetic-first, owner-supported setup.
Public website forms should never receive PHI. Any live-packet workflow is scoped through a secure pilot process with the right agreements in place.