↩ Walk-through
Concinna  ·  A Federal Data Layer for Value-Based Care

The federal ground truth around every physician and market — seven years deep.

Prepared for agilon health · June 2026
What it is

A 3.11-billion-row governed data lake — 280 datasets, at physician grain.

3.11B+
Governed records
216
Public data sources · 10 authorities
12,700+
Physician groups scored · 9-factor
328
Queryable analytic views
7 yr
Medicare depth · NPI × drug × procedure × year
9.5M
Providers · public · no PHI
The value to Agilon

Your data lives where you have contracts. We're the layer around it.

The federal ground truth on every physician and market — including the groups you haven't signed and the members you can't see. Additive, alongside the pipeline you've built. Not a replacement.

Your screening rubric, answered

The nine inputs you grade a group on — from public data, before the first call.

1 · MA Market Penetration50.9%6 · Group # of PCPs39
2 · MA Market Growth+19%7 · Group MA RAF (proxy)0.91 → 3.92
3 · Payer Market Dynamicslead ≈43%8 · Group MA Revenue (proxy)$6.6M
4 · Benchmark Rate$1,2369 · Group MA MedEx (proxy)$5.2M + $25.0M Rx
5 · Group MA Members (proxy)~14,500
All nine — worked live on a real 39-PCP independent group · every figure a live query · five run on the MFFS proxy the industry uses.
The differentiator · the RAF engine

An independent read on risk capture — from data no single source holds.

Part D
Prescribing
FDA
DailyMed
CMS-HCC
V28 crosswalk
Model
Coefficients

Where prescribing suggests chronic disease coding may not yet reflect — surfaced as opportunity, not audit. We don't see your coding; we point to where to look.

Market intelligence · your anchor market

Columbus, mapped from public data alone.

62%
MA penetration · now plateauing
$1,316
County benchmark PMPM
CVS · Humana · UHG
Payer mix, parent-level
29,878
Central Ohio Primary Care — largest independent panel in OH
agilon.runtalon.ai/columbus.html — read it against what you know cold.
The same lake serves your #1 margin lever

Post-acute steering — cost and quality, mapped.

57
Skilled-nursing facilities in Franklin County
15
At 4–5 stars
31
At 1–2 stars
2.7★
County average

Same county, same Medicare dollars — very different outcomes. The lake ranks every SNF, home-health agency and hospital in a market by cost and quality together — so high-cost episodes get steered to the right facilities. Inpatient and post-acute spend is the lever you've named; here it's served from public data.

The ranked target model

Every independent group, scored — with a filter for who's still uncaptured.

12,412
Independent PCP groups scored nationally
6 signals
Panel · chronic burden · VBC · independence · OIG-clean · geography

It independently surfaced your own partners — Pioneer, Toledo Clinic, COPC — before being told anything.

Across your whole P&L

Built around the levers you've named.

Risk capture
External RAF read · ~$900/member · 0.1 RAF
Part D
6-yr + RxHCC, ahead of Q3 reconciliation
Cost trend
External FFS benchmark by market
Contracting
Payer share × benchmark × Stars
Expansion
Underwrite a group before you sign
Population
Chronic burden, predicted by market
The honest boundary

An external reference layer — not a replacement.

The ask

"Give us a panel you already have the coding for. We'll surface where risk looks uncaptured. You grade us."

One working session · on your data · an hour. If it doesn't earn its keep, you've lost nothing.
Beyond your current footprint

The same engine finds where you look next.

186
Independent groups scored in a single example market
screened
System- and competitor-owned filtered out automatically
1 day
A first-pass scan to a full market dossier

Point it at any market you're weighing — it ranks the independent, physician-owned panels and screens out the system-owned, so you walk in knowing the landscape. A working example is live at agilon.runtalon.ai/colorado.html

Concinna

Here to extend the advantage you've already built.

agilon.runtalon.ai · every figure reproducible live · powered by Talon AI LLC
Concinna × Agilon
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