AI referral review for skilled nursing admissions teams.
AdmitScore applies AI to the narrow admissions review problem: what is in the packet, what appears missing, what may affect payer or care fit, and what staff should verify before saying yes.
Use AI for the first-pass structure, not the final admission decision.
Skilled nursing referral review is too operationally sensitive for black-box recommendations. AdmitScore keeps findings reviewable, cautious, and tied to staff verification.
Structured packet summary
AI helps organize payer, clinical, medication, documentation, and operational fit details.
Clarification questions
Missing or ambiguous details become follow-up questions for hospitals, payers, pharmacy, or internal reviewers.
Role-aware review
Clinical users see financial-free Referral Fit; administrators can separately review planning context.
Human verification
Facility staff verify findings, check source documents, and make the final decision.
AI referral review is most useful when it matches the SNF workflow.
AdmitScore is intentionally scoped around referral packet intake and pre-admission review. It is not positioned as an EHR integration or a full operating system.
Before acceptance
Pre-admission review helps teams decide what needs verification before holding a bed.
Medication concerns
High-cost medication review flags possible pharmacy and carve-out questions.
MA authorization
MA authorization review keeps payer and documentation questions visible.
Sample output
The sample report shows the public, synthetic version of the review structure.
The AI layer should make review easier to audit, not harder to trust.
SNF teams need outputs that are specific enough to act on and cautious enough to keep final judgment with facility staff.
Source-oriented output
Findings should point staff back to referral documents or identify where source support appears missing.
Unclear details stay visible
Ambiguous diagnoses, orders, payer terms, or medication responsibilities should become clarification questions instead of confident claims.
Role-aware review surfaces
Clinical and admissions users need financial-free Referral Fit while administrators separately review planning context.
PHI-safe intake path
Public forms stay PHI-free. Live referral review uses the secure pilot workflow scoped before any real packet is reviewed.
Start with a controlled pilot and explicit review expectations.
Public forms should never receive PHI. Live-packet workflows require secure pilot setup.