Referral packet review built for skilled nursing admissions.
AdmitScore™ turns a discharge packet into a structured review of payer risk, authorization readiness, documentation gaps, high-cost medication concerns, operational fit, and financial planning context.
- Six review surfaces
- Payer, authorization, documentation, medications, operational fit, financial.
- Scores by role
- Referral Fit (financial-free, all roles), plus admin-only Financial Fit and Margin.
- Staff verify every output
- Estimates and planning aids only; admissions teams make the final call.
- BAA before PHI
- Public forms PHI-free; secure intake scoped under signed BAA at kickoff.
AdmitScore supports the business and clinical review around the decision.
It does not replace the decision. It helps staff see what needs verification before saying yes.
Referral packet review
Summarizes the admissions-relevant details staff need to verify from source documents.
Payer risk
Flags payer signals, Medicare Advantage indicators, and plan details that may require follow-up.
Authorization readiness
Helps identify whether prior authorization support appears complete or needs more documentation.
Documentation gaps
Calls out missing therapy notes, orders, medication records, or skilled need support. MDS and PDPM clues stay inside the admissions workflow as Section GG review signals.
Medication and service fit
Surfaces high-cost medication and care needs that may affect operational or financial fit.
Scores by role
Referral Fit (financial-free, all roles), plus admin-only Financial Fit and Margin. PDPM, denial-risk, and revenue context are layered in so financial pressure stays out of the clinical conversation. Outputs are estimates, not guarantees.
Review Before Acceptance
Packet contains payer and medication signals that should be verified by facility staff.
What the team gets
- Structured referral summary for staff review.
- Risk flags with source-document verification prompts.
- Questions to ask before acceptance.
- Decision and outcome tracking for leadership review.
Estimate review load and verification capacity.
Use your own workflow inputs to baseline current staff review load. This calculator makes no time-savings promise: a pilot should measure actual assisted review time, verification quality, and follow-up effort for your packets. Modeling dollars instead of hours? Use the PDPM margin calculator.
Evaluate admissions intelligence with a focused pilot.
Review fit, packet volume, implementation scope, and pilot pricing.
For teams comparing AI options, see SNF admissions software. Related workflows cover managing inbound referrals across referral sources, denial-risk review before admission, and hospital-to-SNF referral triage.
Request a PilotCommon questions about SNF admissions intelligence
What is SNF admissions intelligence?
SNF admissions intelligence is decision-support software that reviews a skilled nursing referral packet before admission. It surfaces possible payer risk, Medicare Advantage authorization readiness, documentation gaps, and financial context so staff can verify them and decide. AdmitScore by VeriSight Analytics™ is one example, and facility staff make the final decision.
How does AI referral packet review work?
AI referral packet review reads the documents in a SNF referral, then flags items that need review: unclear skilled need, missing therapy documentation, possible authorization gaps, and high-cost medication questions. It does not approve payers or replace clinical judgment. Staff verify packet-derived findings against source documents and check modeled signals against their stated inputs.
Is admissions intelligence the same as a referral CRM or bed board?
No. AdmitScore is a focused review layer, not an EHR, CRM, bed board, or payer-approval engine. It reviews the referral packet for possible risk signals and leaves intake workflow, clinical records, and final decisions to the facility and its existing systems.
Does AdmitScore handle PHI on this website?
No. The public VeriSight Analytics website never receives PHI, and public examples are synthetic. Any review of real protected health information happens only inside a BAA-bound pilot workflow, not through the marketing site.