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

Accredo Health Group INC

Accredo Health Group INC was paid $10.19M by Medicaid between Dec 2019 and Oct 2024, across 7 billing codes. Its largest line is J2357, Injection, omalizumab, 5 mg — 55% of everything it billed.

33Billing provider infoACCREDO HEALTH GROUP INC
NEWARK, DE 19702
33aNPI1538281837assigned 04/06/2007
33bProvider typeSpecialty Pharmacy
28Total paid$10.19M
24GClaims6,226
24DCodes billed7
24AFirst – last monthDec 2019 – Oct 2024
Box 24A · Dates of service

Paid by month

$0$200K$400K2018201920202021202220232024
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
201916$26K
2020374$655K
2021947$1.59M
20221,675$3.11M
20231,925$2.98M
2024incomplete1,289$1.84M
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
J2357 Injection, omalizumab, 5 mg 55% 2,508 2,048 $5.64M
J0585 Injection, onabotulinumtoxina, 1 unit 33% 3,173 3,116 $3.38M
90378 5.7% 161 146 $586K
Q9992 Injection, buprenorphine extended-release (sublocade), greater than 100 mg 2.5% 154 146 $255K
Q9991 Injection, buprenorphine extended-release (sublocade), less than or equal to 100 mg 1.7% 100 95 $170K
J0897 Injection, denosumab, 1 mg <1% 71 71 $97K
J7307 Etonogestrel (contraceptive) implant system, including implant and supplies <1% 59 56 $68K

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 officialPERINI, VICTOR (ASSISTANT SECRETARY)
Same official

Other billing entities under PERINI, VICTOR

Full network →
ProviderLocationPaid
Accredo Health Group INCOrlando, FL$18.05M
Ahg of New York INCElmsford, NY$1.71M
Accredo Health Group INCHonolulu, HI$549K

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