NEVVI Medicare utilization intelligence
+ Build a code basket
Market snapshot

Nationwide CY2024

Medicare Part B FFS · CY2024 · as published by CMS
33880 Repair of descending aorta and subclavian artery with insertion of graft and extensions CPT · Cardiovascular procedure
Classification Procedure Cardiovascular Percutaneous Transcatheterization (CMS RBCS)
First observed 2013 — start of our 12-year window; the code predates it
National scale 89 services · est. · 40 FFS beneficiaries (CY2024, all-Medicare estimate) — 40 observed fee-for-service services
Medicare paid $108K · est. · $1213.72 avg / service, national — $49K observed FFS
CMS descriptor · RBCS classification · Medicare Part B physician/supplier claims, 12-year window
Billing groups

3

Named groups billing this code
Named-group all-Medicare svcs · est.

89

Scaled from 40 observed FFS services.
FFS of Medicare

49%

Payer-mix frame
Services YoY

Estimated all-Medicare volume estimate
FFS + estimated MA

~89 services

40 observed fee-for-service (45%) · ~49 estimated Medicare Advantage.

Scaled from the observed floor by each state’s fee-for-service share (FFS share as of 2024) — scaled estimate — assumes MA utilization mirrors FFS; not an observation. How we scale
Top states — 33880 (CY2024)

Est. all-Medicare services by billing state (scaled estimate — assumes MA utilization mirrors FFS); open a bar for that state's ranked market.

Billed → allowed → paid
Named-group submitted charges
$250K
Named-group allowed amount
$61K
Named-group Medicare payments
$108K · est.
— $49K observed FFS
Avg charge / svc
$6,243
Avg allowed / svc
$1,516
Avg payment / svc
$1,214
Totals are named-group (attributable) sums. Allowed is Medicare’s fee-schedule recognized price — what CMS recognizes, before the 80% Medicare pays.
Average charge per group
$4,158 3 groups · avg submitted charge / service $8,492
Market analyticsPlatform Methods →

Search a single state to see that market's full analytics — each panel renders gated on the free tier.

See it in full: nuclear heart imaging (78452) in Arizona is open as a live example — every paid panel, on real data.

View the live example →
See the Platform — the full read, every number below, code baskets, and export. Notify me at launch →
Refine: group size any 5+ locked column25+ locked column100+ locked column independent only locked column
Filter results:

Email me this CSV

Data year: CY2024 CY2023 CY2022 locked column CY2021 locked column CY2020 locked column
Physician groups ranked by 33880 services, highest first, CY2024
# Physician group locked column City locked column St locked column Specialty locked column Providers locked column 33880 svcs Submitted charges locked column Avg charge locked column Medicare $ locked column Share of state* locked column Phone
1 FLORIDA CLINICAL PRACTICE ASSOCIATION INC GAINESVILLE FL NURSE PRACTITIONER 1912 16 $135,866 $8,492 premium 100.0% (352) 265-8990
2 NUVANCE HEALTH MEDICAL PRACTICE CT INC DANBURY CT PHYSICIAN ASSISTANT 748 12 $49,891 $4,158 premium 100.0% (203) 739-7118
3 ALBANY MEDICAL COLLEGE ALBANY NY PHYSICIAN ASSISTANT 1070 12 $63,948 $5,329 premium 100.0% (518) 262-3277

*Share of the state's disclosed Medicare-FFS services for the primary code, counted once per clinician. "St" is the state the volume was billed from: a group appears in each state where its clinicians bill Medicare, with that state's volume and share ("City" is the group's registered location). Group figures sum clinicians affiliated with exactly one group; clinicians in several groups are listed in each group's drill-down but not volume-attributed to any single group, so shares reflect attributable volume. See Methods.

Comparing against an all-payer estimate?

These are exact counts from Medicare fee-for-service claims — roughly a third to half of most procedure markets, depending on payer mix — and the observed foundation every market figure here builds on. Market totals anchor on a labeled all-Medicare estimate scaled from that foundation, with the observed count disclosed beside it — Medicare only, never all-payer. Modeled all-payer databases project every payer statistically and typically run higher. Same market, different denominator. How the numbers reconcile →