Xiao-He Yang, MD
Pathology (CMS) · Schenectady, NY
Shared published services3 shared services · view billing descriptions
85%Service-mix similarity~15.9 milesView profile →
Similar work.
More providers to explore.
Compare the published Medicare service mix of Charles F Schwartz, DO with clinicians in the same registry specialty: Pathology (CMS).
AMSTERDAM, NY · 25 milesEdit location
Within 25 miles · Approximate ZIP-area distance
Approximate straight-line distances between ZIP-area centers; a city search starts from the average of its ZIP centers. Uses the primary reported practice ZIP, not an exact office address or driving distance. Records without matched coordinates are excluded. How distance works
2024 published service data · 7 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
Bernard T Ng
Pathology (CMS) · Saratoga Springs, NY
Shared published services3 shared services · view billing descriptions
82%Service-mix similarity~24.4 milesView profile →
Daniel Cho, M.D.
Pathology (CMS) · Schenectady, NY
Shared published services3 shared services · view billing descriptions
81%Service-mix similarity~15.9 milesView profile →
Nader Okby, MD
Pathology (CMS) · Schenectady, NY
Shared published services3 shared services · view billing descriptions
81%Service-mix similarity~15.9 milesView profile →
Janne Victoria Rand, M.D.
Pathology (CMS) · Saratoga Springs, NY
Shared published services3 shared services · view billing descriptions
77%Service-mix similarity~24.4 milesView profile →
Lisle A Eaton, MD
Pathology (CMS) · Burnt Hills, NY
Shared published services2 shared services · view billing descriptions
56%Service-mix similarity~14.8 milesView profile →
William E Field, MD
Pathology (CMS) · Saratoga Springs, NY
Shared published services3 shared services · view billing descriptions
47%Service-mix similarity~24.4 milesView 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 approximate distance 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.