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.
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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 Percentile
Offices
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
ROD
Offices
TTM gross
Upside @ target
Approved $
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
Office
Type
TTM gross
Coll %
Net @70
Net @75
Net @80
Net @ 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.