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Similar work.
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Compare the published Medicare service mix of Michelle S. Tam, M.D. with clinicians in the same registry specialty: Internal Medicine.

SAN JOSE, CA · Exact areaEdit location

2024 published service data · 168 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Kim T Nguyen, M.D.

Internal Medicine · San Jose, CA

Shared published services
1 shared services · view billing descriptions
  • Hemoglobin a1c level (83036)
32%Service-mix similarityView profile →

Arunasri Kelleti, M.D.,

Internal Medicine · San Jose, CA

Shared published services
1 shared services · view billing descriptions
  • Hemoglobin a1c level (83036)
26%Service-mix similarityView profile →

Leah Weinstein, M.D.

Internal Medicine · San Jose, CA

Shared published services
1 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
22%Service-mix similarityView profile →

Osama Lam, M.D.

Internal Medicine · San Jose, CA

Shared published services
1 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
18%Service-mix similarityView profile →

George K Yeh, M.D.

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
16%Service-mix similarityView profile →

Josephine Diem Pham, M.D.

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
15%Service-mix similarityView profile →

Thinh Van Nguyen, M.D.

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
14%Service-mix similarityView profile →

Richard Angel Ornelas

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Hemoglobin a1c level (83036)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
13%Service-mix similarityView profile →

Chistopher Nguyen Do, M.D.

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
11%Service-mix similarityView profile →

Minh Quan Huynh, M.D.

Internal Medicine · San Jose, CA

Shared published services
1 shared services · view billing descriptions
  • Insertion of needle into vein for collection of blood sample (36415)
10%Service-mix similarityView profile →

Chia-Yi Selena Hung, D.O.

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Hemoglobin a1c level (83036)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
10%Service-mix similarityView profile →

Jack Ackerman, DO

Internal Medicine · San Jose, CA

Shared published services
2 shared services · view billing descriptions
  • Hemoglobin a1c level (83036)
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
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.