Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
Home › ID › Garden City › NPI 1053392548
Supplier

The Evangelical Lutheran Good Samaritan Society

The Evangelical Lutheran Good Samaritan Society was paid $13.54M by Medicaid between Jan 2018 and Oct 2024, across 4 billing codes. Its largest line is H2022, Community-based wrap-around services, per diem — 100% of everything it billed.

33Billing provider infoTHE EVANGELICAL LUTHERAN GOOD SAMARITAN SOCIETY
GARDEN CITY, ID 83714
33aNPI1053392548assigned 11/10/2005
28Total paid$13.54M
24GClaims4,664
24DCodes billed4
24AFirst – last monthJan 2018 – Oct 2024

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$100K$200K$300K2018201920202021202220232024
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
20181,230$1.85M
2019977$1.92M
2020574$1.70M
2021865$2.00M
2022614$2.20M
2023229$2.07M
2024incomplete175$1.80M
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
H2022 Community-based wrap-around services, per diem 100% 4,357 1,505 $13.54M
97530 Therapeutic activities, direct patient contact, each 15 minutes <1% 179 27 $777.46
Q3014 Telehealth originating site facility fee <1% 46 38 $109.62
97116 <1% 82 12 $90.39

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.