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

James River Hospitalist Group, LLC

James River Hospitalist Group, LLC was paid $4K by Medicaid between Apr 2018 and Oct 2018, across 2 billing codes. Its largest line is 99223, Prolong inpt eval add15 m — 74% of everything it billed.

33Billing provider infoJAMES RIVER HOSPITALIST GROUP, LLC
RICHMOND, VA 23220
33aNPI1316340698assigned 10/01/2014
33bProvider typeHospitalist Physician
28Total paid$4K
24GClaims82
24DCodes billed2
24AFirst – last monthApr 2018 – Oct 2018
Compared with peers

Next to other Hospitalist Physician providers in Virginia

Rank by total paid#39 of 56
Median peer was paid$28K
This provider vs. median0.1×

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 DURHAM, CHRISTOPHER controls 20+ 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
201882$4K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
99223 Prolong inpt eval add15 m 74% 43 32 $3K
99233 Hospital visit by a doctor, follow-up day (complex)Prolong inpt eval add15 m 26% 39 13 $895.23

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 officialDURHAM, CHRISTOPHER (PRESIDENT)
Same official

Other billing entities under DURHAM, CHRISTOPHER

Full network →

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