Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Pinellas County Schools

Pinellas County Schools was paid $328K by Medicaid between Jan 2018 and May 2024, across 5 billing codes. Its largest line is 96150, — 49% of everything it billed.

33Billing provider infoPINELLAS COUNTY SCHOOLS
LARGO, FL 33770
33aNPI1376607648assigned 12/21/2006
28Total paid$328K
24GClaims15,915
24DCodes billed5
24AFirst – last monthJan 2018 – May 2024
Compared with peers

Next to other Local Education Agency (LEA) providers in Florida

Rank by total paid#54 of 213
Median peer was paid$87K
This provider vs. median3.8×

Peers share this provider's primary NPPES type and state. Size alone says nothing about billing quality: a big agency or a hospital system is expected to sit far above the median.

Box 24A · Dates of service

Paid by month

$0$5.0K$10K$15K2018201920202021202220232024
Paid that monthNov–Dec 2024: claims still arriving when the file was cut, so these months run low for every provider
By year, as a table
YearClaimsPaid
20182,693$61K
20192,636$65K
20201,550$32K
20212,681$44K
20222,628$56K
20232,338$46K
2024incomplete1,389$23K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
96150 49% 6,646 4,051 $162K
H0031 Mental health assessment, by non-physician 40% 6,095 3,632 $132K
H0046 Mental health services, not otherwise specified 5.9% 2,018 1,108 $19K
96152 4.5% 1,076 645 $15K
96153 <1% 80 55 $679.07

Claims and beneficiary counts add up across code × month rows, so one patient seen every month counts many times. Rows with fewer than 12 claims are suppressed by HHS, so small lines can be missing.

From NPPES

Who's on the registration

Authorized officialMATZ, FRED (ASST SUPERINTENDENT FINANCE)
Same official

Other billing entities under MATZ, FRED

Full network →
ProviderLocationPaid
Pinellas County SchoolsLargo, FL$3.29M
Pinellas County SchoolwLargo, FL$402K
Pinellas County SchoolsLargo, FL$337K

Matched on the authorized-official name exactly as entered in NPPES. A common name can match unrelated people.