Every organization-type NPI in the NPPES registry has an "authorized official" — the person legally responsible for the entity. When we cross-reference these officials with Medicaid spending data, a striking pattern emerges: a small number of individuals are listed as the authorized official on thousands of separate billing entities.

The Biggest Networks

Authorized Official	Title	Entities	Total Spending	States
Colbert, Susan	Director, Payer Relations	2,142	$12.1M	43
Blanton, Barry	Vice President	2,007	$3.54B	49
Wey, Samuel	VP, Licensure & Certification	1,789	$4.30B	45
Taylor, Kira	Manager	1,117	$16.2M	44
Canonic, Kimberly	Senior Director, Enrollment	884	$2.7M	38
Ponce, Jennifer	Manager	861	$48.0M	47
Barnhard, Jeffrey	CEO	655	$1.10B	48
Russalesi, Wendy	CCO	447	$1.65B	45
Anderson, Donald	Asst Secretary Enrollments	393	$2.20B	9
Williams, Kimberly	VP	360	$5.56B	46

Not All Proliferation Is Suspicious

The top networks by entity count are almost certainly legitimate healthcare conglomerates. Barry Blanton's 2,007 entities and Samuel Wey's 1,789 entities tell a clear story when you look at what they bill:

Blanton's entities overwhelmingly bill dialysis-related codes:

Code	Description	Total	Entities Billing
90999	Dialysis procedure	$2.39B	1,716
J0887	Epoetin beta (ESRD use)	$225.7M	1,425
A4657	Syringe w/ or w/o needle	$202.0M	1,796
90935	Hemodialysis	$197.8M	350
85018	Blood count, hemoglobin	$62.9M	1,692

This is unmistakably a dialysis company — likely one of the two national chains (DaVita or Fresenius) that together operate roughly 80% of U.S. dialysis clinics. Each clinic needs its own NPI because it's a separate physical location providing services. Having 2,000 NPIs isn't suspicious for a company with 2,000 clinics — it's the expected structure.

Similarly, Susan Colbert's 2,142 entities but only $12.1M in Medicaid spending suggests a large healthcare system where most entities bill primarily to commercial insurance or Medicare, with minimal Medicaid volume. Her title — "Director, Payer Relations" — fits a major health system's enrollment office.

Where Entity Proliferation Gets Interesting

The more interesting cases are where high entity counts combine with high spending in concentrated billing patterns. A few to watch:

Kimberly Williams (VP, 360 entities, $5.56B across 46 states) — This is the highest-spending single authorized official in the dataset. 360 entities across 46 states suggests a national home health or fiscal intermediary operation.

Donald Anderson (Asst Secretary Enrollments, 393 entities, $2.20B across just 9 states) — The geographic concentration is notable. 393 entities in only 9 states means roughly 44 entities per state on average, which is high concentration.

Wendy Russalesi (CCO, 447 entities, $1.65B across 45 states) — Another national network with significant spending.

Entity Proliferation as a Fraud Signal

Entity proliferation — the creation of multiple billing entities under common control — is one of the primary patterns cited in Medicaid fraud investigations. The Minnesota autism diagnosis fraud scheme, which prompted the release of this dataset, involved providers creating shell companies to bill for fabricated therapies.

The challenge is distinguishing legitimate proliferation (dialysis chains, hospital systems, home health networks) from suspicious proliferation (shell companies created to spread billing across many NPIs to avoid detection thresholds).

Some signals that warrant closer inspection:

• Many entities, few codes: If 100 entities all bill the same 2-3 codes, that's a mono-service operation running through many NPIs.
• Geographic clustering: Many entities in the same city or county under one official.
• Generic names: Entities with names like "Quality Care LLC," "Best Health Services Inc," etc. — the kind of names you'd generate in bulk.
• Recent enumeration dates: Many entities created around the same time suggests batch registration.

The NPPES data we've loaded — including authorized officials, parent organizations, and enumeration dates — makes it possible to check all of these signals. The Brooklyn personal care cluster is a prime example of where these signals converge.

Explore the Data

Every provider page on this site now shows the authorized official (when available) and links to related entities sharing the same official. Click any provider to see their network connections, or browse by state to find the largest networks in your area.