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Compare the published Medicare service mix of Ercole John Petrungaro, PA-C with clinicians in the same registry specialty: Physician Assistant.

SAN FRANCISCO, CA · Exact areaEdit location

2024 published service data · 180 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Jessica Gayle Irwin Stark, PA-C

Physician Assistant · San Francisco, CA

Shared published services
2 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
85%Service-mix similarityView profile →

Theresa Ann Sofarelli, P.A.-C

Physician Assistant · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
61%Service-mix similarityView profile →

Chialin Lee, PA-C

Physician Assistant · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
33%Service-mix similarityView profile →

Kyle Kurt Abraham, PA-C

Physician Assistant · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
29%Service-mix similarityView profile →

Seo Ho Kim

Physician Assistant · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Ultrasonic guidance for blood vessel access (76937)
19%Service-mix similarityView profile →
How this comparison works

We use the same calendar year of CMS Medicare Physician & Other Practitioners data for both providers. Published non-drug service counts are combined by HCPCS code across places of service. We apply log(1 + count), normalize the vectors, and compare them using cosine similarity.

Candidates share the reference provider’s current NPPES primary taxonomy and match the location you enter. We examine up to 500 candidates in NPI order, then show up to 12 with the highest positive similarity within that set. The score is not a percentile, medical recommendation, or prediction. Suppressed services are not estimated. Medicare fee-for-service data does not describe a provider’s entire practice.

Source: CMS Medicare Physician & Other Practitioners - by Provider and Service : 2024-12-01 · Published May 21, 2026.