Mary Virginia Iacocca, MD
Pathology (CMS) · Newark, DE
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 Shiyama Mudali, M.D. with clinicians in the same registry specialty: Pathology (CMS).
NEWARK, DE · Exact areaEdit location
2024 published service data · 9 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
Christine Elizabeth Burgert-Lon, DO
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
68%Service-mix similarityView profile →
Ming Zhang, M.D.
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
66%Service-mix similarityView profile →
Randi Jill Lapoint, MD
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
66%Service-mix similarityView profile →
Phoebe Jeanette Holmes, M.D.
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
65%Service-mix similarityView profile →
Steven Todd Kramer, M.D.
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
62%Service-mix similarityView profile →
Cynthia Ellen Flynn, MD
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
61%Service-mix similarityView profile →
Thomas Chou, M.D.
Pathology (CMS) · Newark, DE
Shared published services3 shared services · view billing descriptions
60%Service-mix similarityView profile →
William Macleod Kirby, MD
Specialty details in registry · Newark, DE
Shared published services3 shared services · view billing descriptions
60%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.