NEVVI Medicare utilization intelligence
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Market snapshot

Nationwide CY2024

Medicare Part B FFS · CY2024 · as published by CMS
88262 Chromosome analysis for genetic defects, count 15-20 cells CPT · Molecular Testing
Classification Test › Molecular Testing › Genetic Analysis (CMS RBCS)
First observed 2013 — start of our 12-year window; the code predates it
National scale 6,674 services · est. ▼ 1.2% YoY · 3,135 FFS beneficiaries (CY2024, all-Medicare estimate) — 3,329 observed fee-for-service services
Medicare paid $818K · est. · $122.52 avg / service, national — $408K observed FFS
CMS descriptor · RBCS classification · Medicare Part B physician/supplier claims, 12-year window
Billing groups

5

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

720

Scaled from 359 observed FFS services.
FFS of Medicare

49%

Payer-mix frame
Services · year over year
Services YoY

-1.2%

All-Medicare est. · observed FFS -4.6%
Volume, not care. A shrinking fee-for-service denominator is not a shrinking market.
Estimated all-Medicare volume estimate
FFS + estimated MA

~720 services

359 observed fee-for-service (50%) · ~361 estimated Medicare Advantage.

Billing for this code concentrates in one state — scaled by the national payer mix (FFS share as of 2024) — scaled estimate — assumes MA utilization mirrors FFS; not an observation. How we scale
Top states — 88262 (CY2024)
NJ 2,898 TX 1,219 CT 907 CA 562 AL 544

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
$263K
Named-group allowed amount
$44K
Named-group Medicare payments
$88K · est.
— $44K observed FFS
Avg charge / svc
$731
Avg allowed / svc
$123
Avg payment / svc
$123
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
$411 5 groups · avg submitted charge / service $829
Market analyticsPlatform Methods →

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

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Data year: CY2024 CY2023 CY2022  CY2021  CY2020 
# Physician group City St Specialty Providers 88262 svcs Submitted charges Avg charge Medicare $ Share of state* Phone
1 UCLA PATHOLOGY AND LABORATORY MEDICINE GROUP LOS ANGELES CA PATHOLOGY 65 208 $172,334 $829 75.1% (310) 267-2625
2 SOUTHERN CALIFORNIA PERMANENTE MEDICAL GROUP LOS ANGELES CA INTERNAL MEDICINE 11157 42 $34,676 $826 15.2% (800) 954-8000
3 WEILL MEDICAL COLLEGE OF CORNELL NEW YORK NY INTERNAL MEDICINE 2053 40 $18,360 $459 54.8% (212) 746-5454
4 TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK NEW YORK NY NURSE PRACTITIONER 2273 33 $21,780 $660 45.2% (212) 305-8559
5 TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER LUBBOCK LUBBOCK TX CERTIFIED REGISTERED NURSE ANESTHETIST (CRNA) 374 24 $9,864 $411 4.2% (806) 743-2800
That's the top 5 of 5 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 →