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Compare the published Medicare service mix of Daniel P Mundt with clinicians in the same registry specialty: Hematology/Oncology (CMS).

MN · Exact areaEdit location

2024 published service data · 171 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Sanggyu Bae, MD

Hematology · Hematology/Oncology · Medical Oncology (CMS) · Bemidji, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
47%Service-mix similarityView profile →

Marshall A. Mazepa, M.D.

Hematology/Oncology (CMS) · Minneapolis, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
46%Service-mix similarityView profile →

Nicholas K Torgerson, DO

Hematology/Oncology · Internal Medicine (CMS) · Minneapolis, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
41%Service-mix similarityView profile →

Jane C Tolkinen, DO

Hematology/Oncology (CMS) · St Louis Park, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
34%Service-mix similarityView profile →

Charlene Marie Fares, M.D.

Hematology/Oncology (CMS) · Saint Paul, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
30%Service-mix similarityView profile →

Zeeshan Ahmad, M. D.

Hematology/Oncology (CMS) · Fridley, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
30%Service-mix similarityView profile →

Sarah Young, MD

Hematology/Oncology · Internal Medicine · Medical Oncology (CMS) · Minneapolis, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
29%Service-mix similarityView profile →

Daniel Fellows Pease, M.D.

Hematology/Oncology (CMS) · Minneapolis, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
29%Service-mix similarityView profile →

Yucai Wang, MD, PHD

Hematology/Oncology (CMS) · Rochester, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
28%Service-mix similarityView profile →

Donald James Jurgens, M.D.

Hematology/Oncology · Internal Medicine (CMS) · Saint Cloud, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
28%Service-mix similarityView profile →

Evan Mariash, M.D.

Hematology/Oncology (CMS) · Robbinsdale, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
28%Service-mix similarityView profile →

Abigael Luke, M.D.

Internal Medicine (CMS) · St. Cloud, MN

Shared published services
1 shared services · view billing descriptions
  • Initial hospital care with straightforward or low-level medical decision making, if using time, at least 55 minutes (99222)
27%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.