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

Michael E. Green

Michael E. Green was paid $7K by Medicaid between Oct 2018 and Oct 2023, across 2 billing codes. Its largest line is 92015, Determination of refractive state — 90% of everything it billed.

33Billing provider infoMICHAEL E. GREEN
GALLATIN, TN 37066
33aNPI1104025246assigned 07/17/2007
33bProvider typeOphthalmology Physician
28Total paid$7K
24GClaims308
24DCodes billed2
24AFirst – last monthOct 2018 – Oct 2023
Compared with peers

Next to other Ophthalmology Physician providers in Tennessee

Rank by total paid#68 of 114
Median peer was paid$15K
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 BURTON, AMY controls 13+ related entities in our dataset. Read more
Box 24A · Dates of service

Paid by month

$0$250$500$7502018201920202021202220232024
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
201858$641.77
201975$2K
202046$1K
202127$682.12
202256$1K
202346$1K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
92015 Determination of refractive state 90% 232 204 $6K
99215 Doctor's office visit, returning patient (complex)Prolong outpt/office vis 9.9% 76 63 $668.81

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 officialBURTON, AMY (DIRECTOR)
Same official

Other billing entities under BURTON, AMY

Full network →

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