UCR Fee Strategy Console V2

Procedure-level opportunity, peer-cohort benchmarking, and a prescriptive action plan over FairHealth percentile modeling — built so a payer-strategy lead can standardize fee schedules network-wide, not just office by office.

AI Action Plan prescriptive worklist

A ranked, do-this-Monday queue. Each office is scored on net dollars at goal (gain × collection rate), collection efficiency, review status, and fee vintage — then assigned an explicit next action. Click any card for the full office detail and peer position.

Code Targets procedure-level

Every live office's per-code opportunity, flattened to the network. Ranked by aggregate upside at the selected target percentile. The mini-bar shows how many offices fall in each band for that code. Click a code to see the specific offices most under-market on it — fix one code across all of them.

How concentrated is the opportunity?

A handful of high-volume procedures carry most of the network's recapture. This is the case for standardizing those codes first.

Where do our offices sit?

Share of offices by the FairHealth percentile band their approved fees landed in. The DSO-level view: "what % of offices fall within the Nth percentile."

Distribution detail

Landed PercentileOffices Approved Gross Increase% of Org

Offices ranked by upside

Gross-production gain at the selected target percentile, with a cohort dot showing whether this office is a true laggard (red) or just typical for its market (green). Click an office to open its per-code workspace (live offices) or detail rail. live offices have per-code data.

Capture rate by ROD realized vs remaining

What each ROD has already approved (doc-approved increase) versus what's still modeled and on the table at goal. A short green bar = lots of upside left to push.

ROD rollup

Per-Regional-Ops-Director: office count, total upside at the target percentile, and review completion.

ROD table

RODOfficesTTM gross Upside @ targetApproved $Capture %

Collection-leak map raise-now vs fix-first

Upside (x) against gross-collection rate (y). Bubble size = TTM gross. Red bubbles = collection rate is falling. Top-right = raise fees now; bottom-right = fix collections first, a fee increase won't fully land.

Expected net revenue by target

Gross gain × gross-collection rate at each target. GP goal = 75th, Specialty goal = 85th. Net rev is what lands after collections.
Net rev @ goal (GP 75 / Spec 85)
$0
expected, at current coll rates
Net rev @ 70th
$0
conservative
Net rev @ 80th
$0
stretch
Gross gain @ goal
$0
before collections

Per office

OfficeTypeTTM grossColl % Net @70Net @75Net @80Net @ goal

Gross collection % trend

Monthly gross-collection rate per office (Feb '25 → Jan '26). The rate that converts gross gain into net revenue. Low + falling = margin leak.

By office (lowest first · click for monthly detail)

Set target percentiles by practice type, then fine-tune the approved increase per office. Edits persist in this browser only.

Scenario planner

Set target percentiles by practice type, then fine-tune the approved increase per office. Network totals update live.


Modeled gross gain
$0
across filtered offices
Expected net rev
$0
gain × gross-collection rate
Offices in scope
0
OfficeTypeTTM grossAuto upside Approved $ (editable)Net rev
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