NP / PA
Kendrick, Natalie
Kendrick, Natalie was paid $23K by Medicaid between Jan 2018 and Feb 2020, across 5 billing codes. Its largest line is 99214, doctor's office visit, returning patient (more involved) — 75% of everything it billed.
33Billing provider infoKENDRICK, NATALIE
BRANSON, MO 65616
BRANSON, MO 65616
33aNPI1376936203assigned 03/17/2015
33bProvider typePhysician Assistant
28Total paid$23K
24GClaims374
24DCodes billed5
24AFirst – last monthJan 2018 – Feb 2020
Compared with peers
Next to other Physician Assistant providers in Missouri
Rank by total paid#47 of 136
Median peer was paid$12K
This provider vs. median2.0×
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 | 184 | $11K | |
| 2019 | 156 | $10K | |
| 2020 | 34 | $3K |
Box 24 · Service lines
What it billed for
| Code | Service | Share | Claims | Bene. records | Paid |
|---|---|---|---|---|---|
| 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 | 75% | 237 | 232 | $17K |
| 99203 | Doctor's office visit, new patient (routine)Office or other outpatient visit for the evaluation and management of a new patient, low complexity | 15% | 43 | 43 | $3K |
| 87804 | Infectious agent antigen detection by immunoassay; Influenza, each type | 6.1% | 63 | 42 | $1K |
| 99213 | Doctor's office visit, returning patient (routine)Office or other outpatient visit for the evaluation and management of an established patient, low complexity | 2.8% | 17 | 14 | $652.84 |
| 87880 | Infectious agent antigen detection by immunoassay; Streptococcus, group A | 1.0% | 14 | 14 | $235.51 |
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.