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USE CASE · M&A & NETWORK DILIGENCE

Map who controls a provider network before the deal closes.

Resolve ownership and chain affiliation, then price the enforcement exposure — SNF ownership chains, PBJ staffing, and CMS deficiency history joined from federal primary sources, every value traced to the file it came from. Built for diligence counsel and payer SIUs who need a defensible record, and the analysts who build the model.

Request access →Compliance & risk teamsSee the data API →Developers & AI teams

280,207Source: https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/skilled-nursing-facility-all-owners · Dataset: cms-snf-all-owners/v1 · Snapshot: 2026-05-01
SNF ownership rows deficiency citationsField-level provenancePoint-in-time

✓ No PHI✓ Federal primary source✓ Ownership chain✓ Signed export

The diligence exposure

Inherited enforcement risk you did not price.

A provider network carries ownership relationships and a regulatory history that the deal model has to price. Miss an operating-organization tie or a chain affiliation and the acquirer inherits enforcement exposure — civil monetary penalties, false-claims liability — it never underwrote. A target's realized-harm history is the floor:

5.59%Source: https://data.cms.gov/provider-data/dataset/r9s8-i3pj · Dataset: cms-care-compare-nh-deficiencies/v1 · Snapshot: 2026-05-01
of all federal nursing-home citations reach scope/severity G or above, and the rate varies sharply by state — Illinois averages 4.57 G+ citations per facility against New Hampshire's 0.31, a difference aggregate ratings smooth over.

Fonteum surfaces each ownership tie and citation from the CMS record itself, so the exposure is on the table before the deal closes — not discovered after.

The analyst pain

Three CMS files, joined by hand, lineage lost.

Ownership, staffing, and deficiency history live in three different CMS files on three cadences. Stitching them into a portfolio view means a brittle ETL job — and once joined, the lineage of which file produced which field is gone, so counsel cannot trace a figure back to its source.

One GETresolves a facility's ownership and returns every fact with its own source, snapshot date, and documented limitation — including the

82.4%Source: https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/skilled-nursing-facility-all-owners · Dataset: cms-snf-all-owners/v1 · Snapshot: 2026-05-01
of top-10-chain rows that carry a missing ownership_percentage in the federal file, flagged rather than imputed.


How it works

The federal sources joined, and what each one prices.

280,207Source: https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/skilled-nursing-facility-all-owners · Dataset: cms-snf-all-owners/v1 · Snapshot: 2026-05-01

Ownership chain

CMS SNF All Owners across 14,425 facilities — managing org, operating org, and individual owners with percentage interest and role, PECOS-derived under ACA §6101.

1.3M+Source: https://data.cms.gov/quality-of-care/payroll-based-journal-daily-nurse-staffing · Dataset: cms-pbj-staffing/v1 · Snapshot: 2026-05-01

Staffing signal

PBJ daily nurse-staffing records per quarter across 14,537 facilities — RN, LPN, and CNA payroll hours, the leading operating signal after the staffing-floor rescission.

418,148Source: https://data.cms.gov/provider-data/dataset/r9s8-i3pj · Dataset: cms-care-compare-nh-deficiencies/v1 · Snapshot: 2026-05-01

Regulatory history

CMS Care Compare deficiency citations across 14,635 facilities — deficiency tag, harm scope, and survey event ID, the audit trail for enforcement risk.

Per-field

Provenance

Every value is written with its source name, snapshot date, and documented limitation — an auditable chain from a diligence figure back to the exact CMS file.

Integration & workflow

One record. Two ways in.

Analysts resolve ownership by facility over REST. Diligence teams scope a portfolio and export the joined record. Same data, same per-field provenance, same source snapshot.

GET /api/v1/ask?question=ownership&scheme=ccn&value={ccn}

curl "https://fonteum.com/api/v1/ask?question=ownership&scheme=ccn&value=015009" \
  -H "Accept: application/json"

Response

{
  "question": "ownership",
  "subject": { "scheme": "ccn", "value": "015009" },
  "answer_text": "Facility 015009 is operated by 1 organization with 3 owner records on file.",
  "facts": [
    {
      "role": "operating_organization",
      "owner_type": "organization",
      "ownership_percentage": null,
      "provenance": {
        "_source": "CMS SNF All Owners",
        "_source_url": "https://data.cms.gov/provider-data/",
        "_snapshot": "2026-05-01",
        "_last_checked": "2026-06-17",
        "_methodology": "ownership/v1",
        "_confidence": 1.0,
        "_limitation": "ownership_percentage absent in source row"
      }
    }
  ],
  "citations": [
    { "source": "CMS SNF All Owners", "source_url": "https://data.cms.gov/provider-data/" }
  ]
}

The ask endpoint is deterministic — no language model. '0 records on file' is an answer, never a silent empty; a source read failure returns 502, never a masked empty. For a full target portfolio, the FHIR R4 bulk $export returns NDJSON keyed to the facilities you scope.

  1. 01Scope the target portfolio to the facilities under evaluation, keyed by CCN.
  2. 02Resolve each facility's ownership chain — managing organization, operating organization, individual owners — from the CMS SNF All Owners record.
  3. 03Overlay the operating signal: PBJ staffing trend and the G+ deficiency history, joined to the same facilities.
  4. 04Export the joined dataset with field-level provenance — every value tied to the CMS file and snapshot it came from.
  5. 05Hand counsel a record they can re-derive: the federal source, not a commercial interpretation, underwrites the enforcement exposure.

Sample audit-evidence artifact

M&A DILIGENCE — FACILITY OWNERSHIP RECORD
Facility (CCN) ...... 015009
Operating org ....... [present]        [SNF All Owners · 2026-05-01]
Owner records ....... 3                [SNF All Owners · 2026-05-01]
Ownership % ......... null (absent in source) — flagged, not imputed
PBJ staffing trend .. declining RN hrs [PBJ · 2026-05-01]
G+ deficiencies ..... 2 in 36 months   [Care Compare NH · 2026-05-01]
Methodology ......... ownership/v1
Re-derivable ........ GET /api/v1/ask?question=ownership&scheme=ccn&value=015009

The exported record preserves the federal provenance chain on every field — the document counsel re-derives from the CMS source to underwrite enforcement exposure.


Proof — not logos

Every figure traces to a public CMS row.

280,207Source: https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/skilled-nursing-facility-all-owners · Dataset: cms-snf-all-owners/v1 · Snapshot: 2026-05-01

Ownership rows

The full CMS SNF All Owners record across 14,425 facilities — managing org, operating org, and individual owners, PECOS-derived.

418,148Source: https://data.cms.gov/provider-data/dataset/r9s8-i3pj · Dataset: cms-care-compare-nh-deficiencies/v1 · Snapshot: 2026-05-01

Deficiency citations

The CMS Care Compare citation record across 14,635 facilities — each with deficiency tag, harm scope, and survey event ID, openly downloadable.

ownership/v1

Pinned methodology

The methodology version is stamped at query time and reproducible months later — the same version re-derives the same record for an audit.

Signed

Attestation

Each export is tied to Fonteum's Ed25519 witness chain, so the integrity of a diligence record is provable after the fact.

“Counsel underwrites the federal record, not a vendor's interpretation of it. The source, the snapshot, and the documented gap are the product.”

M&A & NETWORK DILIGENCE

Resolve a target portfolio's ownership and enforcement history.

Request access→ Explore the SNF ownership data

Questions

Before the security questionnaire.

What federal data backs an M&A or network-diligence review?

Three CMS layers, joined by facility. CMS SNF All Owners —

280,207Source: https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/skilled-nursing-facility-all-owners · Dataset: cms-snf-all-owners/v1 · Snapshot: 2026-05-01
PECOS-derived ownership rows across 14,425 facilities, capturing managing organization, operating organization, and individual owner percentage interests. CMS PBJ Daily Nurse Staffing — daily payroll-hour records per quarter across 14,537 facilities. CMS Care Compare NH Deficiencies — citation records across 14,635 facilities, each with its deficiency tag, harm scope, and survey event ID. Every value carries its source name and last-checked date, so any figure in a diligence model traces back to the originating CMS file.

Can I resolve the ownership chain for a target portfolio?

Yes. The CMS SNF All Owners record resolves managing organization, operating organization, and individual owners with percentage interest and role type, keyed by facility. A material caveat surfaces directly in the federal file: a Health Affairs 2024 analysis, reproducible from the public CMS data, found

82.4%Source: https://data.cms.gov/provider-characteristics/hospitals-and-other-facilities/skilled-nursing-facility-all-owners · Dataset: cms-snf-all-owners/v1 · Snapshot: 2026-05-01
of top-10-chain rows carry a missing ownership_percentage. Fonteum surfaces that gap as a documented limitation rather than imputing a value — because to an acquirer, an absent percentage is itself material.

How is this different from a commercial healthcare-intelligence dataset?

The data property, not the vendor. A derived dataset typically surfaces CMS data as a rolled-up score with no path back to the underlying record. Fonteum publishes the CMS citation itself — deficiency tag, harm scope, survey event ID — alongside the source citation and methodology version, so counsel underwrites against the federal record rather than an interpretation of it. The full set of

418,148Source: https://data.cms.gov/provider-data/dataset/r9s8-i3pj · Dataset: cms-care-compare-nh-deficiencies/v1 · Snapshot: 2026-05-01
citations across 14,635 facilities is openly downloadable.

Why does the PBJ staffing layer matter more after the 2025 rule rescission?

CMS Payroll-Based Journal data reports actual RN, LPN, and CNA payroll hours —

1.3M+Source: https://data.cms.gov/quality-of-care/payroll-based-journal-daily-nurse-staffing · Dataset: cms-pbj-staffing/v1 · Snapshot: 2026-05-01
daily records per quarter across 14,537 facilities. The federal 3.48-hour minimum staffing standard was rescinded December 3, 2025 (effective February 2, 2026), so there is no national floor to underwrite against — which makes per-facility staffing transparency the remaining accountability signal. A facility drifting toward contract-heavy or sustained-low RN hours shows in the payroll record before a star-rating change or a survey deficiency.

What is the G+ harm flag and why is it the regulatory-risk floor?

CMS assigns each survey deficiency a scope-and-severity letter from A to L. Citations at G or above denote actual harm to a resident and carry the heaviest enforcement consequences, including civil monetary penalties and denial of payment for new admissions. In the federal record of

418,148Source: https://data.cms.gov/provider-data/dataset/r9s8-i3pj · Dataset: cms-care-compare-nh-deficiencies/v1 · Snapshot: 2026-05-01
citations across 14,635 facilities, fall at G or above. Because a G+ citation marks realized harm with documented enforcement exposure, a target's G+ history is the minimum any diligence model must price in.

Is any patient data involved?

No. Every layer is public federal record keyed by CCN, NPI, and PECOS-ID. There is no PHI in the pipeline and none is required to resolve ownership, read a staffing trend, or pull a deficiency history.

Go deeper

The data and research behind the diligence record.

Solutions

All solutions — by use case & buyer →

Platform

The capability layer — entity graph & bulk export →

Data catalog

CMS SNF All Owners →

Data catalog

CMS PBJ daily nurse staffing →

Brand hub

Ownership & chain analysis →

Research

Nursing-home ownership concentration →

Research

Hospital ownership changes (CHOW) →

Research

Nursing-home deficiency correction time →

Developers

API, FHIR, and bulk export — the dev hub →

FONTEUM · M&A DILIGENCE

Run network diligence on public federal data only. No PHI.

Request access→ Read the methodology

Built on the authoritative federal record

The primary sources, named on every page.

These are the federal agencies whose public datasets Fonteum ingests and attributes — the issuing authorities, not customers or partners. Every figure on the site links back to one of them.

  • CMS
  • HHS-OIG
  • HRSA
  • FDA
  • NLM
  • NUCC
  • Census
  • BLS
  • BEA

See the full source registry, with license and refresh cadence for each →

Reproducible by design

Every figure traces to its federal source.

14-tuple provenance

Every rendered fact ties to a source URL, dataset ID, snapshot date, row key, and SHA-256 — the full chain-of-custody record.

Reproducible SQL

Each study ships the exact query behind its figures, run against the cited federal snapshot. Re-run it yourself.

Daily reconciliation

Published counts are reconciled against the upstream federal datasets on a daily cadence, with drift logged.

Named medical review

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

Read the full provenance and attestation methodology →

Two doors

Use the free API and open data

Query providers, facilities, sanctions, and quality scores — each field carrying its federal source. Self-serve, no call to start.

Explore the API →Browse the data catalog →

Talk to us

Managed pilots, enterprise terms, and audit-ready, signed attestation packages for compliance, risk, and research teams.

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Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

© 2026 Fonteum LLC. All rights reserved.

The U.S. healthcare graph AI can cite — every fact carries its source.

Request access→

The substrate, by the numbers

9.2Mgraph entitiesProviders, organizations, owners, and facilities
15.7Mlinked identifiersNPIs, CCNs, LEIs and more, resolved to entities
5Mgraph edgesSource-attested relationships between entities
44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
35dataset pagesCitable, downloadable /data catalog pages
65reproducible studiesEach shipping the SQL behind its figures