NEVVI Medicare utilization intelligence
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Market snapshot

Nationwide CY2024

Medicare Part B FFS · CY2024 · as published by CMS
33509 Harvest of artery from arm for heart bypass graft using an endoscope CPT · Cardiovascular procedure
Classification Procedure Cardiovascular (CMS RBCS)
First observed 2022
National scale 1,372 services · est. ▲ 36.4% YoY · 699 FFS beneficiaries (CY2024, all-Medicare estimate) — 701 observed fee-for-service services
Medicare paid $145K · est. · $105.54 avg / service, national — $74K observed FFS
CMS descriptor · RBCS classification · Medicare Part B physician/supplier claims, 12-year window
Billing groups

17

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

1,044

Scaled from 552 observed FFS services.
FFS of Medicare

49%

Payer-mix frame
Services · year over year
Services YoY

+36.4%

All-Medicare est. · observed FFS +28.6%
Volume, not care. A shrinking fee-for-service denominator is not a shrinking market.
Estimated all-Medicare volume estimate
FFS + estimated MA

~1,044 services

552 observed fee-for-service (53%) · ~492 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 — 33509 (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
$315K
Named-group allowed amount
$71K
Named-group Medicare payments
$106K · est.
— $56K observed FFS
Avg charge / svc
$571
Avg allowed / svc
$128
Avg payment / svc
$102
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
$212 17 groups · avg submitted charge / service $2,298
Market analyticsPlatform Methods →

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Data year: CY2024 CY2023 CY2022 locked column CY2021 locked column CY2020 locked column
Physician groups ranked by 33509 services, highest first, CY2024
# Physician group locked column City locked column St locked column Specialty locked column Providers locked column 33509 svcs Submitted charges locked column Avg charge locked column Medicare $ locked column Share of state* locked column Phone
1 SANFORD MEDICAL CENTER FARGO FARGO ND NURSE PRACTITIONER 1198 117 $36,193 $309 premium 100.0% (701) 234-2000
2 NOVANT HEALTH MEDICAL GROUP COASTAL REGION LLC WILMINGTON NC PHYSICIAN ASSISTANT 560 66 $15,626 $237 premium 50.8% (910) 662-6000
3 BAYSTATE MEDICAL PRACTICES INC SPRINGFIELD MA PHYSICIAN ASSISTANT 1326 59 $19,755 $335 premium 73.8%
4 INOVA HEALTH CARE SERVICES FALLS CHURCH VA NURSE PRACTITIONER 1818 57 $26,562 $466 premium 100.0%
5 NEW YORK UNIVERSITY NEW YORK NY DIAGNOSTIC RADIOLOGY 5704 48 $110,304 $2,298 premium 100.0% (212) 263-9700
That's the top 5 of 17 groups. The platform ranks the whole market — code baskets, benchmarks, and the full ranked list. the full ranking is part of the market analytics platform — built, not launched yet. Notify me at launch →

*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 →