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

City Medical of Upper East Side, PLLC

City Medical of Upper East Side, PLLC was paid $260K by Medicaid between Nov 2021 and May 2024, across 1 billing code. Its largest line is S9083, Global fee urgent care centers — 100% of everything it billed.

33Billing provider infoCITY MEDICAL OF UPPER EAST SIDE, PLLC
NEW YORK, NY 10007
33aNPI1801277629assigned 06/17/2015
28Total paid$260K
24GClaims1,315
24DCodes billed1
24AFirst – last monthNov 2021 – May 2024
Compared with peers

Next to other Urgent Care Clinic/Center providers in New York

Rank by total paid#80 of 138
Median peer was paid$576K
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 HENRY, SWAHILI controls 15+ related entities in our dataset. Read more
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
202126$5K
2022807$160K
2023157$30K
2024incomplete325$65K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
S9083 Global fee urgent care centers 100% 1,315 1,241 $260K

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 officialHENRY, SWAHILI (DIRECTOR OF PAYMENT SOLUTIONS)
Parent organizationCITY MEDICAL OF UPPER EAST SIDE, PLLC
Same official

Other billing entities under HENRY, SWAHILI

Full network →

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