A DIFFERENT WAY TO EXPLORE

Similar work.
More providers to explore.

Compare the published Medicare service mix of Linda M Yee, OD with clinicians in the same registry specialty: Optometry (CMS).

CA · Exact areaEdit location

2024 published service data · 14 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Nina Coleen Getz, OD

Optometry (CMS) · Arcadia, CA

Shared published services
1 shared services · view billing descriptions
  • Established patient complete exam of visual system (92014)
76%Service-mix similarityView profile →

Janet Caddell, O.D.

Specialty details in registry · Santa Rosa, CA

Shared published services
1 shared services · view billing descriptions
  • Established patient complete exam of visual system (92014)
55%Service-mix similarityView profile →

Eric Drew Yoshinaga, O.D.

Optometry (CMS) · Santa Monica, CA

Shared published services
1 shared services · view billing descriptions
  • Established patient complete exam of visual system (92014)
41%Service-mix similarityView profile →

Richard Arthur Martin, O.D.

Specialty details in registry · Shasta Lake, CA

Shared published services
1 shared services · view billing descriptions
  • Established patient complete exam of visual system (92014)
41%Service-mix similarityView profile →

Tiffany Lauren Chan, O.D.

Optometry (CMS) · Grass Valley, CA

Shared published services
1 shared services · view billing descriptions
  • Established patient complete exam of visual system (92014)
36%Service-mix similarityView profile →

Joseph William Laya, O.D.

Optometry (CMS) · Redding, CA

Shared published services
1 shared services · view billing descriptions
  • Established patient complete exam of visual system (92014)
30%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.