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EDITORIAL REVIEW

Our reviewers

Fonteum publishes source-linked research and data pages over US federal healthcare datasets. Before a healthcare-facing page ships, a non-practicing medical reviewer reads it for one thing: that the terminology, the limitations language, and the way each federal source is described are accurate. The pages are data-led and informational — they report what a dataset says and where it came from, not clinical guidance.


MEDICAL REVIEW

Dr. Jennifer Montecillo, MD

Non-practicing medical reviewer · Gullas College of Medicine, 2019

Dr. Jennifer Montecillo earned her medical degree from Gullas College of Medicine in 2019. She is a non-practicing medical reviewer: she does not see patients, diagnose, treat, or give clinical advice, and nothing on Fonteum is a substitute for a clinician. Her role is editorial. She reviews how Fonteum describes the federal datasets behind a page — making sure a CMS measure is named the way CMS names it, that a limitation is stated plainly, and that nothing reads as a claim the source does not support.

Her review scope is the language layer, not the data pipeline: source interpretation, clinical and regulatory terminology, and the limitations blocks that tell a reader what a number can and cannot be used for. Provenance — which row a value came from, which snapshot, which methodology version — is enforced separately in code and signed into the provenance chain.


THE SIGNOFF
Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer. This line, or its byline form, appears on every healthcare page Dr. Jennifer Montecillo, MD has reviewed, alongside the date it was last read.

REVIEW CADENCE

Every reviewed page carries a last-reviewed date and a next-review date. The standing cadence is a re-review every six months, and a page is re-read out of cycle whenever the federal dataset behind it publishes a new release or its limitations language changes. The review covers wording and source description; it is not an audit of the underlying CMS, OIG, HRSA, or HHS data, which remains a US Government Work published by those agencies.


SEE ALSO
  • About Fonteum →
  • Methodology →
  • Research hub →
  • Corrections log →

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.

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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.

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The substrate, by the numbers

9.2Mgraph entitiesProviders, organizations, owners, and facilities
12.5Mlinked identifiersNPIs, CCNs, LEIs and more, resolved to entities
4.7Mgraph edgesSource-attested relationships between entities
44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
33dataset pagesCitable, downloadable /data catalog pages
49reproducible studiesEach shipping the SQL behind its figures