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Compare the published Medicare service mix of Teresa Joseph, D.O. with clinicians in the same registry specialty: Internal Medicine · Nephrology (CMS).

NEW HAVEN, CT · Exact areaEdit location

2024 published service data · 29 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Emily Morgan Moss, MD

Specialty details in registry · New Haven, CT

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)
100%Service-mix similarityView profile →

Abinet Aklilu, MD

Nephrology (CMS) · New Haven, CT

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)
75%Service-mix similarityView profile →

Irene Chernova, MD, PHD

Nephrology (CMS) · New Haven, CT

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)
68%Service-mix similarityView profile →

Whitney Besse, M.D.

Internal Medicine · Nephrology (CMS) · New Haven, CT

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)
68%Service-mix similarityView profile →

Ursula Constant Brewster, MD

Internal Medicine · Nephrology (CMS) · New Haven, CT

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)
67%Service-mix similarityView profile →

Dennis Moledina, MBBS

Internal Medicine · Nephrology (CMS) · New Haven, CT

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 →

Marzuq Mohammad Billah, M.D.

Internal Medicine · Nephrology (CMS) · New Haven, CT

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)
55%Service-mix similarityView profile →

William Stuart Asch, M.D., PH.D.

Nephrology (CMS) · New Haven, CT

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)
55%Service-mix similarityView profile →

Jeffrey Turner, M.D.

Nephrology (CMS) · New Haven, CT

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)
54%Service-mix similarityView profile →

Deepa R Jayaram, M.D.

Nephrology (CMS) · New Haven, CT

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 →

Shirin Shirani, MD

Nephrology (CMS) · New Haven, CT

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)
51%Service-mix similarityView profile →

Ladan Golestaneh, MD

Internal Medicine · Nephrology (CMS) · New Haven, CT

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)
50%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.