Branta, Jeffrey

Branta, Jeffrey was paid $148K by Medicaid between Jan 2018 and Nov 2024, across 9 billing codes. Its largest line is 99214, doctor's office visit, returning patient (more involved) — 95% of everything it billed.

33Billing provider infoBRANTA, JEFFREY
SOUTH HOLLAND, IL 60473

33aNPI1083933261assigned 05/27/2010

33bProvider typeFamily Medicine Physician

28Total paid$148K

24GClaims2,746

24DCodes billed9

24AFirst – last monthJan 2018 – Nov 2024

Compared with peers

Next to other Family Medicine Physician providers in Illinois

Rank by total paid#732 of 2,947

Median peer was paid$43K

This provider vs. median3.5×

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.

Box 24A · Dates of service

Paid by month

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

Year	Claims	Paid
2018	553	$20K
2019	421	$23K
2020	510	$31K
2021	368	$21K
2022	310	$18K
2023	325	$17K
2024incomplete	259	$17K

Box 24 · Service lines

What it billed for

Code	Service	Share	Claims	Bene. records	Paid
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	95%	2,397	2,082	$141K
99213	Doctor's office visit, returning patient (routine)Office or other outpatient visit for the evaluation and management of an established patient, low complexity	1.7%	64	62	$2K
99396	Periodic comprehensive preventive medicine reevaluation, established patient, 40-64 years	1.4%	26	24	$2K
90686		<1%	70	56	$1K
80053	Comprehensive metabolic panel	<1%	71	68	$720.20
84443	Thyroid stimulating hormone (TSH)	<1%	26	26	$377.66
85025	Blood count; complete (CBC), automated, and automated differential WBC count	<1%	66	63	$355.88
80061	Lipid panel	<1%	12	12	$68.42
36415	Collection of venous blood by venipuncture	<1%	14	12	$45.10

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.