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

Children's Anesthesiology Associates of New Jersey, INC

Children's Anesthesiology Associates of New Jersey, INC was paid $31K by Medicaid between Jan 2018 and Nov 2018, across 2 billing codes. Its largest line is 00126, — 68% of everything it billed.

33Billing provider infoCHILDREN'S ANESTHESIOLOGY ASSOCIATES OF NEW JERSEY, INC
VOORHEES, NJ 08043
33aNPI1053615476assigned 12/28/2010
33bProvider typeAnesthesiology Physician
28Total paid$31K
24GClaims229
24DCodes billed2
24AFirst – last monthJan 2018 – Nov 2018
Compared with peers

Next to other Anesthesiology Physician providers in New Jersey

Rank by total paid#38 of 85
Median peer was paid$20K
This provider vs. median1.5×

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 FLOWERS, CHERISH controls 20+ related entities in our dataset. Read more
Box 24A · Dates of service

Paid by month

$0$2.0K$4.0K$6.0K2018201920202021202220232024
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
2018229$31K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
00126 68% 174 174 $21K
00170 Anesthesia for intraoral procedures, including biopsy 32% 55 55 $10K

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 officialFLOWERS, CHERISH (ENROLLMENT MANAGER)
Same official

Other billing entities under FLOWERS, CHERISH

Full network →

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