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Machine-Readable File: Definition and Healthcare Context

Full name: Machine-Readable File (MRF) for Price Transparency

A Machine-Readable File (MRF) is a structured data file published by hospitals and health insurers under federal price transparency regulations. Under the CMS Hospital Price Transparency Rule (effective January 2021), hospitals must publish an MRF containing standard charges for all items and services. Under the Transparency in Coverage Rule (effective July 2022), group health plans must publish MRFs containing in-network negotiated rates and out-of-network allowed amounts. MRFs are typically published in JSON or CSV format and must be publicly accessible without authentication.

Source file
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Published
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Retrieved
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Snapshot
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Data as of
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Last updated: 2026-07-11Reviewed by: Dr. Jennifer Montecillo, MDGullas College of Medicine, 2019. Non-practicing medical reviewer.

How it’s used

  • CMS NPPES NPI Registry: NPI links payer MRF network directory data to specific enrolled providers, enabling analysis of network coverage by provider.
  • CMS Hospital Price Transparency Rule (45 CFR Part 180): the rule requires hospitals to publish standard-charge MRFs, a federal dataset Fonteum draws on for price-transparency research.
  • Transparency in Coverage Rule: insurer MRFs publish in-network and out-of-network rates, the payer-side files Fonteum uses in No Surprises Act compliance analysis.

Frequently asked questions

What is a machine-readable file for health care?
A machine-readable file (MRF) is a structured data file hospitals and insurers must publish under federal transparency rules, containing standard charges or negotiated payment rates.
Are hospital MRFs required by law?
Yes. The CMS Hospital Price Transparency Rule (effective January 1, 2021) requires all hospitals to publish MRFs with standard charges for all items and services.
What format are MRFs published in?
MRFs are typically published in JSON or CSV format and must be freely downloadable without login or payment.

What’s on file, by the numbers

Platform snapshot · 2026-08-30

13.4Mproviders & companiesProviders, organizations, owners, and facilities on file
26.2Msource-linked factsSource-linked field facts in the dated platform snapshot
90sources with dataDistinct snapshot source IDs with at least one positive record count
16fresh sourcesDistinct source IDs whose latest positive-data snapshot falls within the preceding 45 days
111sources integratedActive registry rows; integration does not establish a load
13state Medicaid jurisdictionsDistinct states represented in the state-exclusions serving table

Integrated, with-data, and fresh-observation counts are separate. No platform-wide source-completeness count is published. Completeness is source-specific and must be evaluated against the named source's expected scope. State coverage is a separate jurisdiction measure.

Source authority is record-specific

Use the issuer named on the record.

Fonteum spans federal, state, and global public publishers. A source page or returned record identifies its issuer and dataset where that metadata is available. A platform registry count does not assign every page to one authority or establish loaded, fresh, or complete coverage.

Browse source records and their stated limitations →

Reproducible by design

Inspect the evidence each published figure actually supplies.

Source and date

Research pages expose the named public file and observation date where those fields are available. Source-file SHA-256 coverage is separate; facts do not currently link deterministically to signatures.

Available derivation

Studies with a retained release and committed derivation link the SQL or method used. Other studies state the evidence and reproduction limits they actually have.

Daily observations

Dated table row-count observations can detect local drift. They do not imply that an upstream publisher released or Fonteum ingested new data that day.

Named medical review

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

Read the full provenance and attestation methodology →

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