Cindy Wang, MD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
77%Service-mix similarityView profile →
Similar work.
More providers to explore.
Compare the published Medicare service mix of Otto Hannes Vogel, MD with clinicians in the same registry specialty: Pathology · Pediatric Medicine (CMS).
STANFORD, CA · Exact areaEdit location
2024 published service data · 11 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
Cansu Karakas, MD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
70%Service-mix similarityView profile →
Xiaoming Zhang, MD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
69%Service-mix similarityView profile →
Megan Leigh Troxell, MD, PHD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
68%Service-mix similarityView profile →
Maria Inmaculada Cobos Sillero, MD, PHD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
67%Service-mix similarityView profile →
Jesse Mckenney, MD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
59%Service-mix similarityView profile →
Andrew Connolly
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
58%Service-mix similarityView profile →
Brent Thomas Tan, M.D., PHD
Hematology · Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
55%Service-mix similarityView profile →
Oscar Silva, MD
Pathology (CMS) · Stanford, CA
Shared published services3 shared services · view billing descriptions
54%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.