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Compare the published Medicare service mix of Albert Kim Feeny with clinicians in the same registry specialty: Specialty details in registry.

SAN FRANCISCO, CA · Exact areaEdit location

2024 published service data · 102 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Ari David Johnson, M.D.

Internal Medicine (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
100%Service-mix similarityView profile →

Kala Ghooray

Hospitalist (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
83%Service-mix similarityView profile →

Daniel Reiss

Hospitalist (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
76%Service-mix similarityView profile →

Laila Fozouni

Specialty details in registry · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
56%Service-mix similarityView profile →

Karena Puldon

Specialty details in registry · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
50%Service-mix similarityView profile →

Hilary Bowman

Specialty details in registry · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
50%Service-mix similarityView profile →

Smitha Ganeshan

Hospitalist · Internal Medicine (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
47%Service-mix similarityView profile →

Neil Maluste, M.D.

Neurology (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
44%Service-mix similarityView profile →

Kelly Anne Johnson, MPH/MD EXPECTED 2015

Infectious Disease · Internal Medicine (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
43%Service-mix similarityView profile →

Bingyan Shi

Hospitalist · Internal Medicine (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
42%Service-mix similarityView profile →

Rashi Agarwal, M.B.B.S.

Psychiatry (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
37%Service-mix similarityView profile →

Tony Wang

Hospitalist · Internal Medicine (CMS) · San Francisco, CA

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with moderate level of medical decision making, if using time, at least 75 minutes (99223)
37%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.