Compare the published Medicare service mix of Benjamin Neil Blond, MD with clinicians in the same registry specialty: Neurology (CMS).
STONY BROOK, NY · 50 milesEdit locationWithin 50 miles · Approximate ZIP-area distance
Approximate straight-line distances between ZIP-area centers; a city search starts from the average of its ZIP centers. Uses the primary reported practice ZIP, not an exact office address or driving distance. Records without matched coordinates are excluded. How distance works
2024 published service data · 19 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.
Shared published services3 shared services · view billing descriptions
Established patient office or other outpatient visit with moderate level of decision making, if using time, 30 minutes or more (99214)
Established patient office or other outpatient visit with high level of medical decision making, if using time, 40 minutes or more (99215)
Visit complexity inherent to evaluation and management associated with medical care services that serve as the continuing focal point for all needed health care services and/or with medical care services that are part of ongoing care related to a patient's (G2211)
Shared published services3 shared services · view billing descriptions
Established patient office or other outpatient visit with moderate level of decision making, if using time, 30 minutes or more (99214)
Established patient office or other outpatient visit with high level of medical decision making, if using time, 40 minutes or more (99215)
Visit complexity inherent to evaluation and management associated with medical care services that serve as the continuing focal point for all needed health care services and/or with medical care services that are part of ongoing care related to a patient's (G2211)
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 approximate distance 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.
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