πŸ§ͺ CONCEPT BUILD β€” unofficial redesign specimen for Mike. Real copy remixed; synthetic bits marked.
For hospital systems

Your EHR ends at the parking lot. Your readmissions don't.

Under HRRP, Medicare withholds up to 3% of inpatient payments for excess readmissions β€” and the drivers live outside your walls, where clinical systems can't see. Variate adds the field layer: the neighborhoods your discharges go home to, and which ones can't support recovery.

~$17,700
direct cost per readmission (AHRQ HCUP)
75–82%
of hospitals projected in penalty territory, FY2027
30 days
to live deployment

Three problems, one blind spot.

Pain 1 β€” the penalty math

Every excess readmission compounds

  • ~$17,700 direct cost per readmission β€” before HRRP multiplies the damage across your Medicare book.
  • FY2027: Medicare Advantage patients enter readmission cohorts for the first time.
Pain 2 β€” the blind spot

The drivers aren't in the chart

  • Transportation, housing, distance to pharmacy, who's home to help.
  • The forces that bounce a patient back live in the field, where clinical systems can't see.
Pain 3 β€” the stack gap

Nothing you own builds the list

  • Care-transition software works the list you already have.
  • Your stack has nothing that builds the list from the field β€” that layer doesn't exist in it.

We don't promise a percentage. We show you the field β€” with receipts.

The engine composites 200+ federal health variables into precision maps of the neighborhoods your discharges go home to. Every answer ships with a decision receipt: the variables, the weights, the data vintages, the human who approved. Inspect the proof layer β†’

One page, every seat at your table.

The forwardable page: send this one URL to whoever needs to evaluate us β€” each block answers a different room.

For your CFO

The penalty math, in your market

  • Name your market β€” get your exposure number, free, usually same day.
  • Leading indicators (field visits, follow-up completion) move in weeks; HRRP cohorts move on multi-year windows. We'll say which is which, unprompted.
For population health

Ask in plain English, challenge the weights

  • β€œWhere are dual-eligible seniors with high heart-failure risk and no transit access?” β€” answered in ~10 seconds, census-tract level.
  • Freshness table on every layer: source, vintage, refresh cadence. See the data dictionary β†’
For your data science team

Weighted overlay you can audit

  • Deterministic MCDA, not a model mood: same question + same weights + same vintage = same map, forever.
  • Full data dictionary with 200+ variables. Per-tract decomposition: which variables drove this score is arithmetic, and we show it.
  • Population math done properly β€” never county averages smeared across empty space.
For your security review

We don't want your PHI

  • Analysis starts from public federal datasets, not patient records.
  • Google Cloud under a signed BAA; Vertex AI, Cloud Run, Cloud SQL.
  • Governed agents with receipts: every decision logs actor type (HUMAN / AGENT / SYSTEM), state, and confidence. Security & procurement docs β†’