Healthcare Private Equity Advisory

The Data Sources That Actually Matter

CMS Medicare files, the NPI Registry, state licensing boards, and Certificate of Need filings contain the real healthcare target universe.

Forget commercial databases for a minute. Here's where healthcare deal intelligence actually lives.

The CMS Medicare Enrollment files contain every provider that bills Medicare. That's roughly 1.6 million individual providers and 400,000+ organizational providers. The data includes provider type, specialty, geographic location, enrollment date, and reassignment information (which reveals group practice structures). Cross-referencing enrollment data with Medicare Cost Reports gives you revenue proxies for institutional providers. For physician practices, the Medicare Physician & Other Practitioners dataset shows utilization volume and allowed charges by provider and service.

The NPI Registry (NPPES) is the single most underused data source in healthcare PE. Every healthcare provider that transmits health information electronically must have a National Provider Identifier. The registry contains 8+ million NPI records with provider names, practice locations, taxonomy codes (which classify specialty), and organizational relationships. When a physician changes practice affiliations, the NPI record updates. That means the registry tracks provider movement in near-real-time. If you're building a physician practice management platform, the NPI Registry tells you exactly who practices where, what they practice, and how their affiliations have changed.

State licensing databases add another layer. Every physician, nurse practitioner, dentist, and allied health professional holds a state license. Many states publish licensee databases with license status, issue dates, disciplinary history, and practice addresses. Certificate of Need (CON) filings, required in 35 states for certain healthcare facility expansions, reveal who's investing in capacity. And the OIG exclusion list flags providers barred from federal healthcare programs.

These aren't obscure datasets. They're public. But almost nobody in PE deal origination systematically mines them.

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Sub-Verticals: Where the Deals Are

Physician practices, behavioral health, home health, dental, and urgent care each carry distinct deal dynamics and valuation ranges.

Healthcare PE isn't one market. It's a dozen.

Physician practice management (PPM) remains the highest-volume healthcare PE sub-vertical. Ophthalmology, dermatology, orthopedics, gastroenterology, and urology practices have all been targets of PE roll-up strategies. Valuations vary dramatically by specialty. Ophthalmology practices with ASC revenue command 10-14x EBITDA. Primary care groups (thinner margins, higher payor sensitivity) trade at 6-8x. The CMS data helps you identify which practices have the revenue mix that supports premium multiples.

Behavioral health has exploded. The combination of rising demand (1 in 5 U.S. adults experience mental illness annually), improving insurance coverage (Mental Health Parity Act enforcement), and severe provider shortages has made behavioral health one of the fastest-growing PE sub-verticals. Applied behavior analysis (ABA) for autism, substance use disorder treatment, and outpatient mental health counseling each carry different operating models. ABA companies trade at 8-12x. Substance use treatment facilities (higher regulatory risk, more volatile census) sit at 5-8x.

Home health and hospice attracted massive PE attention after CMS reimbursement stabilization. The Home Health Value-Based Purchasing model and the expansion of Medicare Advantage home health benefits created a clearer revenue picture. Home health agencies certified by Medicare are listed in the CMS Provider of Services file. We cross-reference that with Home Health Compare quality scores to identify operationally strong agencies.

Dental support organizations (DSOs) and urgent care represent platform-and-build categories where scale economics are proven. Dental practices are the most fragmented healthcare sub-vertical (over 130,000 dental practices in the U.S., most single-location). State dental board databases provide the targeting universe.

Why Primary-Source Origination Wins in Healthcare

Most healthcare targets are physician-owned, never banked, and invisible to commercial deal databases.

The fundamental problem with healthcare deal sourcing is structural. The best targets don't look like targets.

A three-location orthopedic surgery group with $8M in EBITDA isn't in any deal database. The physicians who own it didn't raise venture capital. They didn't hire an investment banker. They built a practice over 20 years and they're starting to think about what comes next. The only places this practice shows up: the NPI Registry (where each physician's taxonomy code identifies orthopedic surgery), the CMS Medicare enrollment file (where the group's organizational NPI reveals its structure), the state medical board (where license records show physician ages), and possibly CON filings (if they've expanded an ASC).

This is why primary-source origination matters more in healthcare than almost any other PE vertical. In technology, targets have websites and product pages and GitHub repos. In industrial services, targets have contractor licenses and DOT numbers. In healthcare, the primary evidence of a practice's existence is regulatory. And the regulatory databases are detailed enough to identify not just that a practice exists, but whether it's worth pursuing.

We've built target universes across 12+ healthcare sub-verticals using these primary regulatory sources. Our classification engine distinguishes between a home health agency doing skilled nursing (higher reimbursement, more complex operations) and one focused on non-medical personal care (lower reimbursement, simpler licensing). That distinction drives a 3-4x difference in valuation multiples. Commercial databases don't make it.

Regulatory Architecture and Deal Risk

Stark Law, Anti-Kickback, state CON requirements, and payor mix analysis aren't just legal issues. They're valuation inputs.

Healthcare M&A due diligence is regulatory due diligence. Period.

The Stark Law (physician self-referral prohibition) and the Anti-Kickback Statute define the boundaries of permissible healthcare business structures. Every physician practice management deal, every healthcare services roll-up, every hospital-physician alignment transaction must be structured to comply. Violations aren't theoretical. The DOJ's healthcare fraud enforcement resulted in over $1.7 billion in settlements and judgments in FY 2024.

Certificate of Need laws in 35 states require regulatory approval before certain healthcare facilities can be built, expanded, or offer new services. For PE buyers, CON requirements create both risk (you can't expand at will) and opportunity (existing CON holders have a regulatory moat). States like Virginia, New York, and Georgia maintain active CON programs that restrict competition in hospital, ASC, and home health markets.

Payor mix analysis is the other critical regulatory dimension. A practice with 70% Medicare revenue faces different reimbursement risk than one with 40% commercial insurance and 30% Medicare. CMS data provides the Medicare utilization picture. State Medicaid enrollment data covers the Medicaid side. The commercial payor component requires proprietary data, but the public sources alone give you a meaningful view of reimbursement exposure.

We factor regulatory risk into origination. Targets in CON states with protected market positions get flagged as higher-value. Targets with OIG exclusions or state disciplinary actions get filtered. Targets with heavy Medicare concentration get flagged for reimbursement sensitivity.

Fundraising for Healthcare PE Funds

LPs want healthcare exposure but worry about regulatory concentration. Specificity in sub-vertical thesis and data-driven sourcing close commitments.

Healthcare is one of the top three LP allocation categories in private equity. The demand is real. But so is the competition for commitments.

We see healthcare GPs make the same fundraising mistake repeatedly: they pitch "healthcare PE" as a category instead of leading with a specific sub-vertical thesis. An LP evaluating their fifth healthcare fund manager this quarter doesn't want to hear about "attractive demographics and aging populations." They want to know exactly which sub-vertical you're targeting, why your sourcing reaches targets others miss, and what your first 12 months of deployment looks like.

The managers who raise fastest in healthcare PE lead with specificity. A behavioral health consolidation thesis backed by NPI Registry analysis showing 4,200 independent behavioral health practices in target geographies. A physician practice management strategy with CMS data demonstrating reimbursement resilience in the target specialty. A home health platform thesis with Medicare Cost Report data showing margin trajectories. That level of specificity tells LPs you've done the work before asking for capital.

We build LP targeting that matches sub-vertical thesis to allocation gaps. An endowment with existing PPM exposure might be wrong for another PPM strategy but right for behavioral health. A family office whose patriarch is a retired physician has a different risk tolerance for healthcare than a sovereign wealth fund. The granularity matters.

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