Gregory L. Mcdonough
Internal Medicine · Philadelphia, PA
Shared published services2 shared services · view billing descriptions
20%Service-mix similarity~2.8 milesView profile →
Similar work.
More providers to explore.
Compare the published Medicare service mix of Ami Arvind Naik, M.D. with clinicians in the same registry specialty: Internal Medicine.
CAMDEN, NJ · 10 milesEdit location
Within 10 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 · 500 eligible profiles compared. This search reached its 500-profile comparison limit, using approximate distance order. Narrow the location for a more focused comparison. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
Muhammad Ahmad, M.D
Internal Medicine · Philadelphia, PA
Shared published services1 shared services · view billing descriptions
10%Service-mix similarity~3.2 milesView profile →
Benjamin Khazan, MD
Internal Medicine · Philadelphia, PA
Shared published services1 shared services · view billing descriptions
5%Service-mix similarity~2.8 milesView profile →
Malgorzata Halina Mysliwiec, MD
Internal Medicine · Philadelphia, PA
Shared published services1 shared services · view billing descriptions
5%Service-mix similarity~5.2 milesView profile →
Rupal O'quinn, M.D.
Internal Medicine · Philadelphia, PA
Shared published services1 shared services · view billing descriptions
5%Service-mix similarity~5.2 milesView profile →
Neel Roshan Parikh, M.D.
Internal Medicine · Philadelphia, PA
Shared published services1 shared services · view billing descriptions
3%Service-mix similarity~3.2 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.