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Compare the published Medicare service mix of Mary Mulqueen, M.D. with clinicians in the same registry specialty: Internal Medicine.

NY · Exact areaEdit location

2024 published service data · 500 eligible profiles compared. This search reached its 500-profile comparison limit, using NPI order. Narrow the location for a more focused comparison. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Anjni Bhagat, MD

Internal Medicine · Malone, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
75%Service-mix similarityView profile →

Zinaida Khodosh, M.D.

Internal Medicine · Brooklyn, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
54%Service-mix similarityView profile →

Bella Sandler, MD

Internal Medicine · Forest Hills, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
45%Service-mix similarityView profile →

Kinga Marta Riccobono, M.D.

Internal Medicine · Garden City, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
43%Service-mix similarityView profile →

Mohammad Rao

Internal Medicine · Far Rockaway, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
41%Service-mix similarityView profile →

Bradley K Adler, M.D.

Internal Medicine · Armonk, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
41%Service-mix similarityView profile →

Neal Ringel, MD

Internal Medicine · Brooklyn, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
40%Service-mix similarityView profile →

Clarissa Andre

Internal Medicine · New York, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
40%Service-mix similarityView profile →

Joseph Mackey, MD

Internal Medicine · East Meadow, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
39%Service-mix similarityView profile →

Anitha Sara Mathew-Shaji, D.O.

Internal Medicine · Roslyn Heights, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
39%Service-mix similarityView profile →

Chi Ching Shum, MD

Internal Medicine · New York, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
38%Service-mix similarityView profile →

Lili Ren, M.D.

Internal Medicine · Flushing, NY

Shared published services
1 shared services · view billing descriptions
  • Routine electrocardiogram (ecg) using at least 12 leads with interpretation and report (93000)
38%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.