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

Happyhouse Staten Island Adult Day Care Center INC

Happyhouse Staten Island Adult Day Care Center INC was paid $46K by Medicaid between Jan 2024 and Oct 2024, across 2 billing codes. Its largest line is S5105, Day care services, center-based; services not included in program fee, per diem — 77% of everything it billed.

33Billing provider infoHAPPYHOUSE STATEN ISLAND ADULT DAY CARE CENTER INC
STATEN ISLAND, NY 10306
33aNPI1730757543assigned 06/16/2021
28Total paid$46K
24GClaims1,237
24DCodes billed2
24AFirst – last monthJan 2024 – Oct 2024
Compared with peers

Next to other Adult Day Care Clinic/Center providers in New York

Rank by total paid#374 of 394
Median peer was paid$3.44M
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$5.0K$10K$15K2018201920202021202220232024
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
2024incomplete1,237$46K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
S5105 Day care services, center-based; services not included in program fee, per diem 77% 643 58 $36K
T2003 Non-emergency transportation, per tripNon-emergency transportation; encounter/trip 23% 594 54 $11K

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 officialCHEN, LINA (PRESIDENT)
Same official

Other billing entities under CHEN, LINA

Full network →
ProviderLocationPaid
Happyhouse Adult Day Care Center INC.Brooklyn, NY$12.34M

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