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INOVA HEALTH CARE SERVICES - PATHOLOGY

PAC 8426241647 Provider group
PATHOLOGY · FAIRFAX, VA · hospital-affiliated
Specialty PATHOLOGY — most common member specialty (multi-specialty groups carry one label; see Methods)
Footprint Registered in FAIRFAX, VA · bills Medicare in 16 states
Scale 45 providers on the CMS registry roster · 63 codes billed (five-year data window) · 81,877 services (all billed codes, CY2024)
Medicare paid $2.9M · across all billed codes, CY2024, attributed & disclosed
Affiliation Hospital-affiliated — at least one member holds a hospital affiliation in the CMS registry
Contact (703) 391-3600 — CMS registry listing
CMS Doctors & Clinicians registry · Medicare Part B physician/supplier claims · figures are attributed (single-group clinicians) and disclosed fee-for-service — a subset, never complete totals · group series shown over the most recent 5 years (rosters archived from 2019)
Group analytics

Who's billing in this group, plus the paid volume analytics · CY2024

Clinician makeup · CY2024
Physicians 42Advanced-practice 0Other clinicians 0= 42 clinicians billed · CY2024
By clinician headcount, CY2024. 'Physician' follows Medicare's §1861(r) definition (MD/DO, podiatry, optometry, dental medicine, chiropractic); facility and supplier enrollments are not counted as clinicians. These 42 are the clinicians who billed in CY2024 — a subset of the all-time registry roster shown on the group's identity card.

Billed 49 of the group's 63 codes this year, across 10 states (CY2024).

The full analytics for this group

Premium

The billed-volume rank, trajectory, and economics behind this group — computed on the same disclosed Medicare Part B data.

What Medicare paid this group in CY2024 is on the group's identity card — free, on every tier. Premium breaks that figure down per code and per service, and puts the volume behind it in national and peer context.

  • Per-code payment breakdown & avg $/service — dollars behind the volume
  • Beneficiary-episode volume — reach, not just service counts
  • Office vs. facility setting mix — place-of-service code split
  • National billed-volume rank — percentile, cohort & year disclosed
  • Size-peer billed-volume benchmark — vs. groups of similar size
  • Top-3 clinician share — how volume distributes
  • 5-year volume trend — direction across the window
  • Business mix — largest codes by payment

Rank and benchmark figures are billed-volume positions among peers, not measures of care. All figures attributed (single-group clinicians) and disclosed Medicare Part B fee-for-service.

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Medicare Part B FFS · CY2024 · as published by CMS

Provider volumes, all codes · CY2024

NPIProviderCredentialsTypeCitySt Services (all codes) locked column
1437365434 Zhou, Xiaoping M.D. Pathology Lakewood RanchFL premium
1780864678 Backus, Scott MD Pathology RockvilleMD premium
1376868331 Mani, Haresh MD Pathology Falls ChurchVA premium
1336389923 Zeng, Weifen MD Pathology LeesburgVA premium
1043417728 Ali, Sharif M.D Pathology HagerstownMD premium
1609199454 Heath, Andrea M.D. Pathology AlexandriaVA premium
1366705782 Thomas, Cheddhi M.D. Pathology Falls ChurchVA premium
1093058570 Golden, Andrew D.O. Pathology MemphisTN premium
1306209325 Coppock, Joseph M.D., PH.D. Pathology MadisonWI premium
1477537165 Liu, Wei M.D. Pathology IndianapolisIN premium
1770584476 Nam, Myong MD Pathology Falls ChurchVA premium
1285046920 Wang, Hai MD Pathology Middleburg HeightsOH premium
1780685560 Qi, Dan MD Pathology Falls ChurchVA premium
1396182218 Timsar, Ali M.D. Pathology Falls ChurchVA premium
1710304761 Mustafa, Sara M.D. Pathology AnnandaleVA premium
1417111238 Li, Wenping MD Pathology Falls ChurchVA premium
1942357082 Mcafee, Rebecca M.D. Pathology Falls ChurchVA premium
1912340589 Li, Guangyuan M.D. Pathology LeesburgVA premium
1942365010 He, Rui MD Pathology Falls ChurchVA premium
1174902308 Lombardo, Jamie MD Pathology Fort Sam HoustonTX premium
1164608451 Friedman, Theodore M.D. Pathology FairfaxVA premium
1982667143 Harvell, Jeffrey M.D. Pathology Falls ChurchVA premium
1659574663 Kelleher, Janna MD Pathology AlexandriaVA premium
1689675647 Menezes, Geetha MD Pathology Falls ChurchVA premium
1881695666 Nayer, Hassan MD Pathology Falls ChurchVA premium
1306807557 Movahedi-Lankarani, Saeid MD Pathology Falls ChurchVA premium
1609847318 Goodman, Zachary M.D., PH.D. Pathology Falls ChurchVA premium
1255627055 Xia, Michelle M.D. Pathology Falls ChurchVA premium
1184693996 Zhang, Roy MD Pathology Falls ChurchVA premium
1427577402 Alzeer, Ali MD Pathology WashingtonDC premium
1245597152 Khazaeian, Kamyar M.D. Pathology Falls ChurchVA premium
1063498590 Salam, Abdus MD Pathology Falls ChurchVA premium
1437150497 Johal, Jasbir MD Pathology Falls ChurchVA premium
1386844405 Fennell, Thomas MD Pathology CharlottesvilleVA premium
1437202157 Stamatakos, Michael M.D. Pathology Falls ChurchVA premium
1356527360 Tehrani, Mahtab M.D. Pathology Little RockAR premium
1972770683 Banez Sese, Grace MD Pathology Falls ChurchVA premium
1184858516 Guo, Huimin MD Pathology GaithersburgMD premium
1487003984 Aalai, Marriam · member of 2 groups M.D. Pathology FairfaxVA premium
1265673362 Ali, Ameera · member of 2 groups M.D. Pathology AlexandriaVA premium
1164659454 Khedmati, Fatemeh · member of 3 groups MD Pathology FairfaxVA premium
1043586621 Lokhandwala, Parvez · member of 2 groups MD, PHD Pathology BaltimoreMD premium

Volumes are attributed to a group only for clinicians affiliated with exactly one group. Clinicians in several groups are listed ("member of N groups") but shown as "—" — their volume is not attributed to any single group. A "—" on a single-group clinician means CMS suppressed the figure (fewer than 11 beneficiaries), never zero. Beneficiary-episodes count CMS's per-setting beneficiary figures, not unique patients. Average Medicare payment is the amount Medicare actually paid per service, weighted by service volume across office and facility settings. Where the roster is a single clinician, that clinician's service counts match the group's attributed volume shown on the ranked results, so they are shown here; the per-provider split across a larger roster is a premium feature. See Methods & Sources.