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

BURLINGAME, CA · Exact areaEdit location

2024 published service data · 40 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Sagar Prakash Shah, MD, MPH

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
81%Service-mix similarityView profile →

Jinesh Raj Patel, MD

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
59%Service-mix similarityView profile →

Jennifer Funk, M.D.

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
53%Service-mix similarityView profile →

Matthew Raymond Yee

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
52%Service-mix similarityView profile →

Aileen Nguyen, MD

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
52%Service-mix similarityView profile →

Laureen Paraguya, M.D.

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
49%Service-mix similarityView profile →

Justin Yu, M.D.

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
48%Service-mix similarityView profile →

Rachit Kumar Anand, DO

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
48%Service-mix similarityView profile →

Khushdeep Kaur Grewal, M.D.

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
44%Service-mix similarityView profile →

Kacy A Church, M.D.

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
40%Service-mix similarityView profile →

Laura Haagenson Dipaolo, M.D.

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
36%Service-mix similarityView profile →

Shamsuddin Alamgir, M.D

Internal Medicine · Burlingame, CA

Shared published services
1 shared services · view billing descriptions
  • Subsequent hospital care with moderate levelof medical decision making, if using time, at least 35 minutes (99232)
36%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.