Physician
Ruohoniemi, Lisa
Ruohoniemi, Lisa was paid $16K by Medicaid between Aug 2019 and Feb 2020, across 7 billing codes. Its largest line is 99213, doctor's office visit, returning patient (routine) — 80% of everything it billed.
33Billing provider infoRUOHONIEMI, LISA
SENECA, SC 29678
SENECA, SC 29678
33aNPI1679819965assigned 12/14/2012
33bProvider typePediatrics Physician
28Total paid$16K
24GClaims386
24DCodes billed7
24AFirst – last monthAug 2019 – Feb 2020
Compared with peers
Next to other Pediatrics Physician providers in South Carolina
Rank by total paid#245 of 471
Median peer was paid$18K
This provider vs. median0.9×
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 | |
|---|---|---|---|
| 2019 | 282 | $12K | |
| 2020 | 104 | $4K |
Box 24 · Service lines
What it billed for
| Code | Service | Share | Claims | Bene. records | Paid |
|---|---|---|---|---|---|
| 99213 | Doctor's office visit, returning patient (routine)Office or other outpatient visit for the evaluation and management of an established patient, low complexity | 80% | 191 | 174 | $13K |
| 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 | 8.9% | 14 | 13 | $1K |
| 90460 | Immunization administration through 18 years of age via any route, first or only component | 5.5% | 73 | 73 | $909.81 |
| 87804 | Infectious agent antigen detection by immunoassay; Influenza, each type | 2.6% | 40 | 17 | $422.35 |
| 90461 | 1.8% | 17 | 17 | $304.53 | |
| 87880 | Infectious agent antigen detection by immunoassay; Streptococcus, group A | <1% | 12 | 12 | $146.40 |
| 90686 | 0% | 39 | 39 | $0.00 |
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.