A DIFFERENT WAY TO EXPLORE

Similar work.
More providers to explore.

Compare the published Medicare service mix of Elizabeth Katherine Koch, MD with clinicians in the same registry specialty: Anesthesiology.

STANFORD, CA · Exact areaEdit location

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

Michael Siyuan Huang, MD

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
100%Service-mix similarityView profile →

Suma Dutta Ramzan, MD

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
84%Service-mix similarityView profile →

Tara Marie Sullivan, MD

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
83%Service-mix similarityView profile →

Veronica Nicole Orr, MD

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
79%Service-mix similarityView profile →

Adam Craig Schlifke, MD

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
71%Service-mix similarityView profile →

Priya Agrawal, DO

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
61%Service-mix similarityView profile →

Chul-Kyun Park, M.D.

Anesthesiology · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Anesthesia for lens surgery (00142)
59%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.