HCPList Know more before you call. About
A DIFFERENT WAY TO EXPLORE

Similar work.
More providers to explore.

Compare the published Medicare service mix of Ann Chen, PA with clinicians in the same registry specialty: Physician Assistant.

PRINCE FREDERICK, MD · Exact areaEdit location

2024 published service data · 17 eligible profiles compared. Similarity describes billing patterns, not quality, outcomes, or suitability for your care.

Allison Nicole Frere, PA-C

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • Insertion of needle into vein for collection of blood sample (36415)
  • Complete blood cell count (red cells, white blood cell, platelets), automated test and automated differential white blood cell count (85025)
63%Service-mix similarityView profile →

Lori E. Maddox, P.A.-C.

Physician Assistant · Prince Frederick, MD

Shared published services
1 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)
56%Service-mix similarityView profile →

Tammy J Zemke, PA

Physician Assistant · Prince Frederick, MD

Shared published services
1 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)
56%Service-mix similarityView profile →

Brittanie Lee Eggan, P.A.

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • Insertion of needle into vein for collection of blood sample (36415)
  • Complete blood cell count (red cells, white blood cell, platelets), automated test and automated differential white blood cell count (85025)
54%Service-mix similarityView profile →

Lauren E Brendel, PA-C

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • Insertion of needle into vein for collection of blood sample (36415)
  • Complete blood cell count (red cells, white blood cell, platelets), automated test and automated differential white blood cell count (85025)
51%Service-mix similarityView profile →

Taylor Edmond Stofft, PA-C

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • Insertion of needle into vein for collection of blood sample (36415)
  • Complete blood cell count (red cells, white blood cell, platelets), automated test and automated differential white blood cell count (85025)
47%Service-mix similarityView profile →

Sarah E Rothhaas, P.A.

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • Insertion of needle into vein for collection of blood sample (36415)
  • Complete blood cell count (red cells, white blood cell, platelets), automated test and automated differential white blood cell count (85025)
45%Service-mix similarityView profile →

Jessica Lynn Jones, PAC

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • Insertion of needle into vein for collection of blood sample (36415)
  • Complete blood cell count (red cells, white blood cell, platelets), automated test and automated differential white blood cell count (85025)
41%Service-mix similarityView profile →

Deven J. Fetzek, PA-C

Physician Assistant · Prince Frederick, MD

Shared published services
3 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)
  • New patient office or other outpatient visit with moderate level of medical decision making, if using time, 45 minutes or more (99204)
  • New patient office or other outpatient visit with low level of medical decision making, if using time, 30 minutes or more (99203)
30%Service-mix similarityView profile →

Amy Elizabeth Larson, P.A.

Physician Assistant · Prince Frederick, MD

Shared published services
1 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)
29%Service-mix similarityView profile →

Amber L Spradlin, PA-C

Physician Assistant · Prince Frederick, MD

Shared published services
1 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)
28%Service-mix similarityView profile →

Lavonne Edwards, PA

Physician Assistant · Prince Frederick, MD

Shared published services
1 shared services · view billing descriptions
  • New patient office or other outpatient visit with low level of medical decision making, if using time, 30 minutes or more (99203)
9%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.