Physician
MG H2 LLC
MG H2 LLC was paid $495K by Medicaid between Jan 2022 and Oct 2024, across 5 billing codes. Its largest line is 99221, — 31% of everything it billed.
33Billing provider infoMG H2 LLC
MIAMI, FL 33131
MIAMI, FL 33131
33aNPI1710583976assigned 12/11/2020
33bProvider typeHospitalist Physician
28Total paid$495K
24GClaims2,520
24DCodes billed5
24AFirst – last monthJan 2022 – Oct 2024
Compared with peers
Next to other Hospitalist Physician providers in Florida
Rank by total paid#19 of 123
Median peer was paid$32K
This provider vs. median15×
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 | |
|---|---|---|---|
| 2022 | 738 | $180K | |
| 2023 | 1,309 | $235K | |
| 2024incomplete | 473 | $80K |
Box 24 · Service lines
What it billed for
| Code | Service | Share | Claims | Bene. records | Paid |
|---|---|---|---|---|---|
| 99221 | 31% | 849 | 574 | $151K | |
| 99234 | 30% | 800 | 496 | $149K | |
| 99222 | Initial hospital care, per day, moderate complexity | 26% | 437 | 395 | $129K |
| 99235 | 13% | 283 | 194 | $65K | |
| 99308 | Subsequent nursing facility care, per day, straightforward | <1% | 151 | 71 | $576.94 |
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 officialPUTNAM, ASHLEY (CREDENTIALING MANAGER)
| Provider | Location | Paid |
|---|---|---|
| QMC LLC | Miami, FL | $8.21M |
| National Health Rehabilitation LLC | Edgewater, NJ | $1.95M |
| Hospitalists One, LLC | Plantation, FL | $1.57M |
Matched on the authorized-official name exactly as entered in NPPES. A common name can match unrelated people.