Karen Wiedemann Eldin, MD
Pathology (CMS) · Boston, MA
Shared published services3 shared services · view billing descriptions
97%Service-mix similarityView profile →
Similar work.
More providers to explore.
Compare the published Medicare service mix of Lynne Uhl, MD with clinicians in the same registry specialty: Pathology (CMS).
BOSTON, MA · Exact areaEdit location
2024 published service data · 155 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
Austin G Turner, M.D.
Hematology · Pathology (CMS) · Boston, MA
Shared published services3 shared services · view billing descriptions
51%Service-mix similarityView profile →
Kenan Joel Sauder, M.D.
Pathology (CMS) · Boston, MA
Shared published services3 shared services · view billing descriptions
48%Service-mix similarityView profile →
Eric Jason Burks, MD
Pathology (CMS) · Boston, MA
Shared published services3 shared services · view billing descriptions
36%Service-mix similarityView profile →
Cindy Wepy, MD
Pathology (CMS) · Boston, MA
Shared published services2 shared services · view billing descriptions
34%Service-mix similarityView profile →
Jacqueline Marie Cortazar, M.D.
Pathology (CMS) · Boston, MA
Shared published services2 shared services · view billing descriptions
26%Service-mix similarityView profile →
Anand S Dighe, MD PHD
Pathology (CMS) · Boston, MA
Shared published services1 shared services · view billing descriptions
17%Service-mix similarityView profile →
Jakob Michael Tu Moran, MD
Pathology (CMS) · Boston, MA
Shared published services1 shared services · view billing descriptions
17%Service-mix similarityView profile →
Svetlana Kondratiev, MD
Pathology (CMS) · Boston, MA
Shared published services1 shared services · view billing descriptions
9%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.