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

North Homes, INC.

North Homes, INC. was paid $1.84M by Medicaid between Jan 2018 and Nov 2024, across 1 billing code. Its largest line is T2023, Targeted case management; per month — 100% of everything it billed.

33Billing provider infoNORTH HOMES, INC.
GRAND RAPIDS, MN 55744
33aNPI1194052498assigned 11/06/2009
33bProvider typeCase Management Agency
28Total paid$1.84M
24GClaims7,071
24DCodes billed1
24AFirst – last monthJan 2018 – Nov 2024
Compared with peers

Next to other Case Management Agency providers in Minnesota

Rank by total paid#62 of 134
Median peer was paid$1.47M
This provider vs. median1.2×

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.

Auditor's notes

Automated statistical signals. Not evidence of fraud — how these are computed.

Single-Code Concentration100% of spending on code T2023 with only 1 total codes billed. Highly concentrated billing profile.
Box 24A · Dates of service

Paid by month

$0$20K$40K2018201920202021202220232024
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
2018783$150K
2019945$273K
20201,295$330K
20211,294$376K
20221,046$321K
2023991$285K
2024incomplete717$102K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
T2023 Targeted case management; per month 100% 7,071 6,646 $1.84M

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 officialCHRISTMAS, JAMES (CHEIF EXECUTIVE OFFICER)
Same official

Other billing entities under CHRISTMAS, JAMES

Full network →

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