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Compare the published Medicare service mix of Neera Khilnani Ahuja, MD with clinicians in the same registry specialty: Internal Medicine.

STANFORD, CA · Exact areaEdit location

2024 published service data · 213 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Michael Adam Pfeffer, M.D.

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
100%Service-mix similarityView profile →

Byron Dan Crowe, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
86%Service-mix similarityView profile →

Roopa Dhatt, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
85%Service-mix similarityView profile →

Lily Ming-Sha Horng, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
82%Service-mix similarityView profile →

Isaac Omolade Ogunmola, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
81%Service-mix similarityView profile →

Mugdha Joshi

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
81%Service-mix similarityView profile →

Mitchell Ryan Lunn, M.D.

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
78%Service-mix similarityView profile →

Hayley Alexis Hranicky Galitzer, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
78%Service-mix similarityView profile →

Mark Evan Heslin, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
76%Service-mix similarityView profile →

Mingwei Yu, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
76%Service-mix similarityView profile →

Nidhi Rohatgi, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
76%Service-mix similarityView profile →

Susanna Yanqing Miao, MD

Internal Medicine · Stanford, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 50 minutes (99233)
73%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.