Physician
Ayyanar, Kanyalakshmi
Ayyanar, Kanyalakshmi was paid $64K by Medicaid between Jan 2018 and Dec 2018, across 8 billing codes. Its largest line is 99214, doctor's office visit, returning patient (more involved) — 83% of everything it billed.
33Billing provider infoAYYANAR, KANYALAKSHMI
MADERA, CA 93636
MADERA, CA 93636
33aNPI1184656613assigned 07/07/2006
33bProvider typePediatric Hematology & Oncology Physician
28Total paid$64K
24GClaims1,749
24DCodes billed8
24AFirst – last monthJan 2018 – Dec 2018
Compared with peers
Next to other Pediatric Hematology & Oncology Physician providers in California
Rank by total paid#10 of 17
Median peer was paid$106K
This provider vs. median0.6×
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 | 1,749 | $64K |
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 | 83% | 528 | 405 | $53K |
| 85025 | Blood count; complete (CBC), automated, and automated differential WBC count | 6.3% | 583 | 459 | $4K |
| 99233 | Hospital visit by a doctor, follow-up day (complex)Prolong inpt eval add15 m | 4.8% | 15 | 14 | $3K |
| 99245 | 2.8% | 14 | 13 | $2K | |
| 99070 | 2.3% | 236 | 144 | $1K | |
| 36415 | Collection of venous blood by venipuncture | <1% | 347 | 317 | $283.38 |
| A4222 | Infusion supplies for external drug infusion pump, per cassette or bag (list drugs separately) | <1% | 14 | 13 | $265.02 |
| J7050 | Infusion, normal saline solution, 250 cc | <1% | 12 | 12 | $26.74 |
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.