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

The Evangelical Lutheran Good Samaritan Society

The Evangelical Lutheran Good Samaritan Society was paid $3K by Medicaid between Oct 2018 and Oct 2020, across 2 billing codes. Its largest line is 90662, — 84% of everything it billed.

33Billing provider infoTHE EVANGELICAL LUTHERAN GOOD SAMARITAN SOCIETY
MOUNTAIN LAKE, MN 56159
33aNPI1265423990assigned 11/02/2005
28Total paid$3K
24GClaims60
24DCodes billed2
24AFirst – last monthOct 2018 – Oct 2020
Compared with peers

Next to other Nursing Facility Supplies (DME) providers in Minnesota

Rank by total paid#12 of 16
Median peer was paid$7K
This provider vs. median0.5×

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.

Entity ProliferationAuthorized official NYLANDER, RAYE NAE controls 20+ related entities in our dataset. Read more
Box 24A · Dates of service

Paid by month

$0$1.0K$2.0K$3.0K2018201920202021202220232024
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
201834$943.82
202026$2K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
90662 84% 30 29 $3K
G0008 Administration of influenza virus vaccine 16% 30 29 $523.02

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 officialNYLANDER, RAYE NAE (CFO)
Parent organizationTHE EVANGELICAL LUTHERAN GOOD SAMARITAN SOCIETY
Same official

Other billing entities under NYLANDER, RAYE NAE

Full network →

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