Lombardo, Joseph
Lombardo, Joseph was paid $22K by Medicaid between Aug 2019 and Apr 2023, across 15 billing codes. Its largest line is U0003, Infectious agent detection by nucleic acid (dna or rna); severe acute respiratory syndrome coronavirus 2 (sars-cov-2) (coronavirus disease [covid-19]), amplified probe technique, making use of high throughput technologies as described by cms-2020-01-r — 55% of everything it billed.
SAINT CHARLES, MO 63301
Next to other Anatomic Pathology & Clinical Pathology Physician providers in Missouri
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 | |
|---|---|---|---|
| 2019 | 353 | $2K | |
| 2020 | 2,292 | $9K | |
| 2021 | 157 | $7K | |
| 2022 | 135 | $2K | |
| 2023 | 136 | $1K |
What it billed for
| Code | Service | Share | Claims | Bene. records | Paid |
|---|---|---|---|---|---|
| U0003 | Infectious agent detection by nucleic acid (dna or rna); severe acute respiratory syndrome coronavirus 2 (sars-cov-2) (coronavirus disease [covid-19]), amplified probe technique, making use of high throughput technologies as described by cms-2020-01-r | 55% | 286 | 274 | $12K |
| 87040 | 19% | 620 | 325 | $4K | |
| 87086 | Culture, bacterial; quantitative colony count, urine | 9.0% | 684 | 499 | $2K |
| 87486 | 3.0% | 98 | 67 | $664.10 | |
| 87798 | Infectious agent detection by nucleic acid; not otherwise specified, amplified probe, each organism | 2.9% | 97 | 66 | $641.65 |
| 87581 | 2.9% | 97 | 66 | $641.20 | |
| 87631 | 2.7% | 99 | 68 | $600.00 | |
| 87186 | 2.6% | 287 | 186 | $570.65 | |
| 87205 | 1.1% | 315 | 175 | $238.00 | |
| 87070 | <1% | 185 | 119 | $179.80 | |
| 87591 | Infectious agent detection by nucleic acid; Neisseria gonorrhoeae, amplified probe | <1% | 15 | 12 | $68.70 |
| 87491 | Infectious agent detection by nucleic acid; Chlamydia trachomatis, amplified probe | <1% | 16 | 13 | $68.70 |
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.