Stevanovic, Tatjana
Stevanovic, Tatjana was paid $736K by Medicaid between Jun 2018 and Dec 2024, across 7 billing codes. Its largest line is G0481, Drug test(s), definitive, utilizing (1) drug identification methods able to identify individual drugs and distinguish between structural isomers (but not necessarily stereoisomers), including, but not limited to gc/ms (any type, single or tandem) and lc/ms (any type, single or tandem and excluding immunoassays (e.g., ia, eia, elisa, emit, fpia) and enzymatic methods (e.g., alcohol dehydrogenase)), (2) stable isotope or other universally recognized internal standards in all samples (e.g., to control for matrix effects, interferences and variations in signal strength), and (3) method or drug-specific calibration and matrix-matched quality control material (e.g., to control for instrument variations and mass spectral drift); qualitative or quantitative, all sources, includes specimen validity testing, per day; 8-14 drug class(es), including metabolite(s) if performed — 61% of everything it billed.
WEST ALLIS, WI 53227
Next to other Adult Health Nurse Practitioner providers in Wisconsin
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.
Paid by month
By year, as a table
| Year | Claims | Paid | |
|---|---|---|---|
| 2018 | 2,333 | $56K | |
| 2019 | 2,370 | $67K | |
| 2020 | 3,765 | $191K | |
| 2021 | 2,820 | $136K | |
| 2022 | 2,701 | $122K | |
| 2023 | 2,002 | $89K | |
| 2024incomplete | 1,370 | $76K |
What it billed for
| Code | Service | Share | Claims | Bene. records | Paid |
|---|---|---|---|---|---|
| G0481 | Drug test(s), definitive, utilizing (1) drug identification methods able to identify individual drugs and distinguish between structural isomers (but not necessarily stereoisomers), including, but not limited to gc/ms (any type, single or tandem) and lc/ms (any type, single or tandem and excluding immunoassays (e.g., ia, eia, elisa, emit, fpia) and enzymatic methods (e.g., alcohol dehydrogenase)), (2) stable isotope or other universally recognized internal standards in all samples (e.g., to control for matrix effects, interferences and variations in signal strength), and (3) method or drug-specific calibration and matrix-matched quality control material (e.g., to control for instrument variations and mass spectral drift); qualitative or quantitative, all sources, includes specimen validity testing, per day; 8-14 drug class(es), including metabolite(s) if performed | 61% | 5,880 | 4,027 | $448K |
| 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 | 21% | 3,523 | 2,721 | $151K |
| 99213 | Doctor's office visit, returning patient (routine)Office or other outpatient visit for the evaluation and management of an established patient, low complexity | 8.5% | 2,244 | 1,782 | $63K |
| 80299 | 8.4% | 3,694 | 2,822 | $62K | |
| 99000 | <1% | 1,875 | 1,144 | $6K | |
| 99204 | Doctor's office visit, new patient (more involved)Office or other outpatient visit for the evaluation and management of a new patient, moderate complexity | <1% | 91 | 73 | $6K |
| G0659 | Drug test(s), definitive, utilizing drug identification methods able to identify individual drugs and distinguish between structural isomers (but not necessarily stereoisomers), including but not limited to gc/ms (any type, single or tandem) and lc/ms (any type, single or tandem), excluding immunoassays (e.g., ia, eia, elisa, emit, fpia) and enzymatic methods (e.g., alcohol dehydrogenase), performed without method or drug-specific calibration, without matrix-matched quality control material, or without use of stable isotope or other universally recognized internal standard(s) for each drug, drug metabolite or drug class per specimen; qualitative or quantitative, all sources, includes specimen validity testing, per day, any number of drug classes | <1% | 54 | 36 | $1K |
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.