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Bitemporal: Definition and Healthcare Context

Full name: Bitemporal Data Modeling

Bitemporal data modeling can record two time dimensions: valid time — when a fact applied — and transaction time — when it was recorded. Historical reconstruction works only when prior rows were actually retained. Fonteum's production history is source-specific, not a universal provider timeline.

Source file
Not reported
Published
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Retrieved
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Snapshot
Not retained for this reference page
Data as of
Not reported
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: NPPES publishes weekly and monthly files, so a provider's recorded address has both a real-world effective date and a capture date Fonteum stores separately.
  • A properly populated append-only store can retain prior versions instead of overwriting them; the presence of bitemporal columns alone does not prove that history exists.
  • Fonteum as-of reads can return only captured versions after tracking began. On July 12, closed rows existed for UK sanctions, procurement awards, OFAC, UN sanctions, and a small provenance-claim set.

Frequently asked questions

What is bitemporal data?
Bitemporal data can track valid time and transaction time. History is reconstructable only for versions the system retained.
What is the difference between valid time and transaction time?
Valid time is when a fact actually held in the real world; transaction time is when the system learned and recorded it. They differ whenever data is recorded late or corrected after the fact.
Why does provider data need bitemporal modeling?
Federal sources can revise records. An as-of query helps only where prior captured versions exist; it cannot recreate dates before tracking or gaps in retained history.

Explore in Fonteum

How Fonteum sources, resolves, and publishes data tied to this term.

What’s on file, by the numbers

Platform snapshot · 2026-08-23

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
70fresh 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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