NP / PA
Ferrill, Nicole
Ferrill, Nicole was paid $31K by Medicaid between Jan 2018 and Feb 2020, across 6 billing codes. Its largest line is 99213, doctor's office visit, returning patient (routine) — 63% of everything it billed.
33Billing provider infoFERRILL, NICOLE
WEST BURLINGTON, IA 52655
WEST BURLINGTON, IA 52655
33aNPI1083021372assigned 07/18/2014
33bProvider typeFamily Nurse Practitioner
28Total paid$31K
24GClaims893
24DCodes billed6
24AFirst – last monthJan 2018 – Feb 2020
Compared with peers
Next to other Family Nurse Practitioner providers in Iowa
Rank by total paid#51 of 144
Median peer was paid$15K
This provider vs. median2.1×
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 | 518 | $18K | |
| 2019 | 362 | $12K | |
| 2020 | 13 | $412.39 |
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 | 63% | 596 | 550 | $19K |
| 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 | 32% | 193 | 186 | $10K |
| 87502 | Infectious agent detection by nucleic acid, influenza virus, for multiple types or subtypes, includes all targets | 3.2% | 15 | 14 | $976.60 |
| 87651 | Infectious agent detection by nucleic acid; Streptococcus, group A, amplified probe | 1.1% | 12 | 12 | $338.96 |
| 36415 | Collection of venous blood by venipuncture | <1% | 62 | 59 | $151.33 |
| 81001 | <1% | 15 | 12 | $49.66 |
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.