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Compare the published Medicare service mix of Hye Won Chang, PA-C with clinicians in the same registry specialty: Physician Assistant.

MESA, AZ · Exact areaEdit location

2024 published service data · 134 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Michelle Wood, PA-C

Physician Assistant · Mesa, AZ

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
68%Service-mix similarityView profile →

Danielle Marie France, PA-C

Physician Assistant · Mesa, AZ

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
59%Service-mix similarityView profile →

Katarzyna Mosio, PA-C

Physician Assistant · Mesa, AZ

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
48%Service-mix similarityView profile →

Kimberly Jean Hanners, PA-C

Physician Assistant · Mesa, AZ

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
40%Service-mix similarityView profile →

Anna Kathryn Christensen, PA-C, MPH

Physician Assistant · Mesa, AZ

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
36%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.