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

Trustees of Columbia University in the City of NY

Trustees of Columbia University in the City of NY was paid $9K by Medicaid between Oct 2021 and Dec 2023, across 2 billing codes. Its largest line is 99214, doctor's office visit, returning patient (more involved) — 68% of everything it billed.

33Billing provider infoTRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NY
NEW YORK, NY 10032
33aNPI1043447253assigned 06/15/2009
28Total paid$9K
24GClaims56
24DCodes billed2
24AFirst – last monthOct 2021 – Dec 2023
Compared with peers

Next to other Internal Medicine Physician providers in New York

Rank by total paid#3,291 of 6,049
Median peer was paid$11K
This provider vs. median0.8×

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.

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
202129$5K
202214$2K
202313$2K
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
99214 Doctor's office visit, returning patient (more involved)Office or other outpatient visit for the evaluation and management of an established patient, moderate complexity 68% 41 41 $6K
99215 Doctor's office visit, returning patient (complex)Prolong outpt/office vis 32% 15 15 $3K

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 officialMCKIERNAN, JAMES (CEO AND SENIOR VICE DEAN)
Same official

Other billing entities under MCKIERNAN, JAMES

Full network →

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