A DIFFERENT WAY TO EXPLORE

Similar work.
More providers to explore.

Compare the published Medicare service mix of Joel Panthappattu, M.D. with clinicians in the same registry specialty: Family Medicine.

NEW PALTZ, NY · Exact areaEdit location

2024 published service data · 9 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Bridget Foy, DO

Family Medicine · New Paltz, NY

Shared published services
3 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
  • Blood glucose (sugar) level (82947)
  • Hemoglobin a1c level (83036)
93%Service-mix similarityView profile →

Susruth Pinnamaneni, D.O.

Family Medicine · New Paltz, NY

Shared published services
3 shared services · view billing descriptions
  • Blood glucose (sugar) level (82947)
  • Hemoglobin a1c level (83036)
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
69%Service-mix similarityView profile →

Marek Balutowski, MD

Family Medicine · New Paltz, NY

Shared published services
2 shared services · view billing descriptions
  • Blood glucose (sugar) level (82947)
  • Hemoglobin a1c level (83036)
58%Service-mix similarityView profile →

Carolyn Kwa, DO

Family Medicine · New Paltz, NY

Shared published services
2 shared services · view billing descriptions
  • Blood glucose (sugar) level (82947)
  • Hemoglobin a1c level (83036)
53%Service-mix similarityView profile →

Matthew L. Denno, M.D.

Family Medicine · New Paltz, NY

Shared published services
1 shared services · view billing descriptions
  • Hemoglobin a1c level (83036)
10%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.