Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Laboratory Corporation of America

Laboratory Corporation of America was paid $408.18 by Medicaid between Apr 2018 and Jun 2021, across 1 billing code. Its largest line is 85025, Blood count; complete (CBC), automated, and automated differential WBC count — 100% of everything it billed.

33Billing provider infoLABORATORY CORPORATION OF AMERICA
FAIRFAX, VA 22031
33aNPI1073857231assigned 11/12/2012
28Total paid$408.18
24GClaims845
24DCodes billed1
24AFirst – last monthApr 2018 – Jun 2021
Compared with peers

Next to other Clinical Medical Laboratory providers in Virginia

Rank by total paid#70 of 78
Median peer was paid$37K
This provider vs. median0.0×

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

Paid by month

$0$25$50$752018201920202021202220232024
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
2018181$0.00
2019475$130.49
2020122$159.01
202167$118.68
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
85025 Blood count; complete (CBC), automated, and automated differential WBC count 100% 845 306 $408.18

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 officialWILLIAMS, KIMBERLY (VP)
Same official

Other billing entities under WILLIAMS, KIMBERLY

Full network →

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