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

Iha Health Services Corporation

Iha Health Services Corporation was paid $1.26M by Medicaid between Jan 2018 and Nov 2024, across 12 billing codes. Its largest line is 88305, Level IV - Surgical pathology, gross and microscopic examination — 63% of everything it billed.

33Billing provider infoIHA HEALTH SERVICES CORPORATION
ANN ARBOR, MI 48106
33aNPI1760723340assigned 03/07/2013
28Total paid$1.26M
24GClaims43,801
24DCodes billed12
24AFirst – last monthJan 2018 – Nov 2024

Auditor's notes

Automated statistical signals. Not evidence of fraud — how these are computed.

Entity ProliferationAuthorized official ELLIOTT, CYNTHIA controls 20+ related entities in our dataset. Read more
Box 24A · Dates of service

Paid by month

$0$10K$20K$30K2018201920202021202220232024
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
20183,887$111K
20195,589$159K
20205,211$150K
20217,255$210K
20227,354$206K
20238,424$230K
2024incomplete6,081$191K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
88305 Level IV - Surgical pathology, gross and microscopic examination 63% 23,900 22,514 $790K
88307 18% 4,098 4,024 $228K
88141 4.9% 4,309 4,306 $62K
88342 3.0% 1,911 1,832 $38K
88341 2.9% 882 832 $37K
88304 2.6% 4,537 4,493 $33K
88112 2.4% 1,925 1,792 $30K
88312 1.4% 924 899 $17K
88173 <1% 216 209 $11K
85060 <1% 962 914 $11K
88311 <1% 113 104 $904.45
88302 <1% 24 24 $148.72

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 officialELLIOTT, CYNTHIA (CHIEF OPERATING OFFICER)
Same official

Other billing entities under ELLIOTT, CYNTHIA

Full network →

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