Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Bradley Bourbonnais School Distrist 307

Bradley Bourbonnais School Distrist 307 was paid $9K by Medicaid between Aug 2018 and Dec 2024, across 4 billing codes. Its largest line is 96158, — 62% of everything it billed.

33Billing provider infoBRADLEY BOURBONNAIS SCHOOL DISTRIST 307
BRADLEY, IL 60915
33aNPI1215149968assigned 05/04/2007
28Total paid$9K
24GClaims1,865
24DCodes billed4
24AFirst – last monthAug 2018 – Dec 2024
Compared with peers

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

Rank by total paid#569 of 694
Median peer was paid$109K
This provider vs. median0.1×

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$250$500$7502018201920202021202220232024
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
2018106$632.02
2019569$2K
2020315$1K
202149$373.34
2023276$2K
2024incomplete550$3K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
96158 62% 785 450 $6K
96152 27% 545 309 $2K
96164 6.4% 253 138 $571.50
96153 4.8% 282 149 $428.06

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 officialHOGAN, MIKE (SUPERINTENDENT)
Same official

Other billing entities under HOGAN, MIKE

Full network →
ProviderLocationPaid
Visionary Enterprises INCIndianapolis, IN$459K
Visionary Enterprises INCIndianapolis, IN$203K
Visionary Enterprises INCIndianapolis, IN$107K
Visionary Enterprises INCIndianapolis, IN$6K
Visionary Enterprises INCIndianapolis, IN$4K

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