Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Residential

Thrive Behavioral Network III, LLC

Thrive Behavioral Network III, LLC was paid $77K by Medicaid between Nov 2022 and Nov 2022, across 1 billing code. Its largest line is H0019, Behavioral health; long-term residential (non-medical, non-acute care in a residential treatment program where stay is typically longer than 30 days), without room and board, per diem — 100% of everything it billed.

33Billing provider infoTHRIVE BEHAVIORAL NETWORK III, LLC
LAKE ELMO, MN 55042
33aNPI1184840639assigned 04/17/2007
28Total paid$77K
24GClaims170
24DCodes billed1
24AFirst – last monthNov 2022 – Nov 2022
Compared with peers

Next to other Mental Illness Community Based Residential Treatment Facility providers in Minnesota

Rank by total paid#42 of 43
Median peer was paid$3.56M
This provider vs. median0.0×

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$50K$100K2018201920202021202220232024
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
2022170$77K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
H0019 Behavioral health; long-term residential (non-medical, non-acute care in a residential treatment program where stay is typically longer than 30 days), without room and board, per diem 100% 170 13 $77K

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 officialBRADLEY, JEFF (PRESIDENT)
Same official

Other billing entities under BRADLEY, JEFF

Full network →

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