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Use a private equity (PE) health care tracker as a starting index, not as definitive proof of who owns a provider. First check what it counts, which providers and years it covers, and whether it reports deals or current ownership. Then trace the provider’s legal-entity and parent-company chain, confirming important links with public records. Brown University’s tracker is built for state-level investment trends from 2015–2023; the Private Equity Stakeholder Project’s July 2026 tracker is a list of hospitals it identifies as PE-owned. They answer different questions.
Choose a tracker that matches your question
Start by stating the question narrowly. “Which hospitals does this tracker identify as PE-owned now?” is different from “How many hospital acquisitions occurred over a period?” or “How many physicians are affiliated with PE-backed practices?” A provider can appear in one kind of dataset and not another without the records contradicting each other: the datasets may cover different sectors, dates, investment types, or units of analysis.
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| Resource | What it is designed to show | Coverage and method | Key limits |
|---|---|---|---|
| Brown University Center for Advancing Health Policy through Research, Private Equity State Tracker | State-level trends in PE investment in U.S. health care. | Brown describes coverage across all 50 states for 2015–2023. Physician-practice investment data combine PitchBook, Medicare Data on Provider Practice and Specialty (MD-PPAS), and manual review of press releases, industry reports, and current and archived websites. Hospital acquisition data for short-term acute-care hospitals draw on the public dataset by Kim and colleagues. Physician affiliations are estimated by linking investment data to 2023 MD-PPAS; hospital affiliations are linked through the AHRQ Compendium of U.S. Health Systems. | Brown says transactions are not systematically reported or disclosed; smaller unreported deals may be absent. Medicare data omit some specialties and non-physician providers. The hospital investment portion excludes psychiatric, rehabilitation, and long-term acute-care settings. Certain staffing-firm arrangements are excluded, and systematic exit and deal-structure data—including for MSOs, leveraged buyouts, and joint ventures—are unavailable. An affiliation result is not a complete ownership history. |
| Private Equity Stakeholder Project (PESP), Private Equity Hospital Tracker | A list of U.S. hospitals PESP identifies as PE-owned, rather than a broad state trend series. | PESP’s July 20, 2026 release describes approximately 447 PE-owned U.S. hospitals. Its definition includes traditional buyouts, growth or expansion capital, and some complex arrangements such as joint ventures with nonprofit or academic health systems. PESP says it used news searches and PitchBook and consulted CMS Hospital All Owners Information. | PESP describes its list as an approximation because firms generally are not required to disclose acquisitions and hospitals may have been missed. CMS records provided clues but were generally insufficient by themselves to trace PE ownership. PESP’s facility-counting rules have changed, including consolidation of multiple CMS identifiers at one location with the same owner. |
Use Brown when your question concerns investment patterns by state over its stated period. Use PESP when you need its dated hospital-ownership snapshot. Do not add their figures together or treat one as a check on the other without first aligning definitions, dates, and units.
Read the tracker’s scope before copying a result
Before recording a number or labeling a provider, capture the tracker’s scope alongside the result. These details determine what the result can support:
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- Population and geography: Does it cover acute-care hospitals, all hospitals, physician practices, a specialty, or clinician affiliations? Is the geography state, national, or something else?
- Investment definition: Does “PE” mean buyouts only, or include growth capital, joint ventures, and other financial relationships?
- Time basis: Is this a transaction history or a current-ownership snapshot? Does the dataset retain sold or exited companies as historically affiliated?
- Unit counted: Is a row a deal, a facility, a health system, a practice, a clinician, or an ownership relationship? A deal involving multiple hospitals may be counted differently from a list of hospitals.
- Matching and validation: Which identifiers link targets to facilities or clinicians? Does the publisher explain how it handles system-level deals, duplicates, uncertain matches, and manual review?
- Update date and uncertainty: Look for the release date, correction history, omissions, and changes in classification or counting rules.
Write the definition next to every figure you save. A facility count from a current-ownership list is not interchangeable with a deal count, and a clinician-affiliation estimate is not a count of owned practices.
Trace a provider through the ownership chain
A tracker entry can identify a lead without naming the legal owner that operates a facility. Work backward from the care site rather than assuming the best-known brand is the legal entity. The public-record ownership methodology described by the Public Equity Healthcare Research Project follows that path through operating entities, holding companies, management partnerships, fund vehicles, and, where records permit, limited partners.
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- Identify the exact care site or practice. Record its street address, public-facing name, and any facility or provider identifier shown in the tracker. This helps distinguish similarly named organizations and match a tracker row to a legal record.
- Find the operating legal entity. Check state business filings and relevant facility or provider records for the organization that operates the site. Note the entity name and the record date; a trade name alone does not establish ownership.
- Follow parent and management relationships. Search filings and other public records for parent companies, holding companies, management-service organizations (MSOs), partnerships, or joint-venture entities. Do not assume the company providing management services is also the equity owner.
- Look for the sponsor and relevant fund vehicle. Trace documented ownership links from the operating entity or parent to the PE sponsor and, if records identify it, to the particular fund or investment vehicle. Record each link separately rather than jumping directly from provider brand to sponsor.
- Confirm material links in primary records. Useful records include SEC Form ADV, SEC Form D, state business filings, and federal or state court records. The Public Equity Healthcare Research Project’s methodology treats M&A announcements and public pension reports as corroboration for timing or fund relationships, not as sufficient evidence of ownership on their own.
- Record the evidence and date for each link. Keep the exact entity names, filing or record type, date, and the relationship it establishes. If the public record does not establish a link, label that part of the chain “unverified” rather than inferring that the provider is independent.
The same methodology starts with ownership status unknown and requires a public filing or verified self-attestation before assigning a tier. That is a useful discipline: a missing tracker entry or an incomplete filing trail is not proof of independence.
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Hospital transaction datasets can differ because a deal may be recorded at the health-system level, repeated in multiple commercial databases, or attached to facility identifiers that do not match cleanly over time. This affects both whether a hospital appears and how a study counts it.
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A 2026 hospital-acquisition study by Kim and colleagues combined six commercial sources—Irving Levin Associates, PitchBook, Preqin, Capital IQ, FactSet, and SDC Platinum—then reconciled duplicates, matched targets to American Hospital Association (AHA) and Centers for Medicare & Medicaid Services (CMS) identifiers, manually reviewed uncertain matches, and verified deal and exit dates. For 2000–2024, its resulting dataset contained 141 unique PE deals involving 555 unique short-term acute-care hospitals, or 721 hospital-deal observations. These are results for that study’s defined dataset, not estimates for all health care or every tracker. The authors found substantial differences among databases in coverage, deal type, and reporting level, illustrating why a single source can produce omissions or analytic bias.
Interpret the PESP hospital figures as dated estimates
PESP’s July 20, 2026 release describes approximately 447 PE-owned U.S. hospitals. Under that tracker’s definition, 21.4% of listed PE-owned hospitals are held through joint ventures with nonprofit systems. PESP also reports that at least 136 of the 447 hospitals—30.4%—have real estate owned by real estate investment trusts (REITs). These are PESP’s estimates for that release, not fixed counts. The tracker adds fields for joint ventures and REIT ownership, relationships that can complicate a simple description of “the PE owner.”
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When using these figures, retain PESP’s release date, the approximate or minimum qualification, and its hospital-list scope. The owner of hospital real estate, the sponsor connected to a hospital operator, and a nonprofit joint-venture partner can be distinct parties; report only the relationship the underlying record supports.
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How to cite a tracker responsibly
For a claim about a particular facility, cite the underlying filing or ownership record whenever possible. Cite the tracker for its compilation, stated method, release date, and estimate. Brown asks users who download its data to cite the tracker. In your notes or publication, make clear whether a number comes from Brown’s 2015–2023 state-trend resource, PESP’s July 2026 hospital list, or a study’s transaction dataset; include the scope and unit alongside the figure.
Ownership and facility counts can change through acquisitions, exits, sales, closures, corrections, and revised counting rules. Before using a live count, check the tracker’s current release and verify consequential ownership claims against dated primary records.
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