A DIFFERENT WAY TO EXPLORE

Similar work.
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Compare the published Medicare service mix of Larry Le, PA with clinicians in the same registry specialty: Physician Assistant.

LONG BEACH, CA · Exact areaEdit location

2024 published service data · 45 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Samantha Carolyn Minkewicz

Physician Assistant · Long Beach, CA

Shared published services
3 shared services · view billing descriptions
  • Removal of skin and tissue, each additional 20.0 sq cm or less (11045)
  • Removal of muscle and/or tissue, each additional 20.0 sq cm or less (11046)
  • Removal of muscle and/or tissue, 20.0 sq cm or less (11043)
82%Service-mix similarityView profile →

Evan Alfred Bailon

Physician Assistant · Long Beach, CA

Shared published services
3 shared services · view billing descriptions
  • Removal of muscle and/or tissue, each additional 20.0 sq cm or less (11046)
  • Removal of muscle and/or tissue, 20.0 sq cm or less (11043)
  • Removal of skin and tissue, 20.0 sq cm or less (11042)
67%Service-mix similarityView profile →

Ngawina Veronica Komen

Physician Assistant · Long Beach, CA

Shared published services
3 shared services · view billing descriptions
  • Removal of skin and tissue, each additional 20.0 sq cm or less (11045)
  • Removal of skin and tissue, 20.0 sq cm or less (11042)
  • Residence visit for established patient with low level of medical decision making, per day, if using time, at least 30 minutes (99348)
55%Service-mix similarityView profile →

Jeffrey Allen Zhan, PA-C

Physician Assistant · Long Beach, CA

Shared published services
2 shared services · view billing descriptions
  • Removal of skin and tissue, 20.0 sq cm or less (11042)
  • Application of chemical to stop tissue regrowth in wound (17250)
23%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.