Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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NP / PA

Grayling Anesthesia Associates PC

Grayling Anesthesia Associates PC was paid $14K by Medicaid between Mar 2018 and Apr 2024, across 4 billing codes. Its largest line is 00812, — 48% of everything it billed.

33Billing provider infoGRAYLING ANESTHESIA ASSOCIATES PC
GRAYLING, MI 49738
33aNPI1710313648assigned 09/24/2013
28Total paid$14K
24GClaims368
24DCodes billed4
24AFirst – last monthMar 2018 – Apr 2024
Compared with peers

Next to other Certified Registered Nurse Anesthetist providers in Michigan

Rank by total paid#55 of 80
Median peer was paid$87K
This provider vs. median0.2×

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 KOCH, MARC controls 16+ related entities in our dataset. Read more
Box 24A · Dates of service

Paid by month

$0$1.0K$2.0K$3.0K2018201920202021202220232024
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
201854$2K
201922$1K
202012$955.32
202158$5K
202278$2K
202353$1K
2024incomplete91$2K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
00812 48% 276 143 $7K
01967 Neuraxial labor analgesia/anesthesia for planned vaginal delivery 32% 46 43 $5K
01961 10% 24 13 $1K
00840 9.7% 22 12 $1K

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 officialKOCH, MARC (PRESIDENT)
Same official

Other billing entities under KOCH, MARC

Full network →

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