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  5. Bitemporal
Healthcare Data GlossaryTech

Bitemporal: Definition and Healthcare Context

Full name: Bitemporal Data Modeling

Bitemporal data modeling records two independent time dimensions for every fact: valid time — when the fact was true in the real world — and transaction time — when the fact was recorded in the database. A bitemporal store can answer both "what was true on a past date" and "what did our data say on a past date," even after a record is later corrected. For provider data this means a query can reconstruct exactly how a federal source described a provider as of any prior point, which is the basis for point-in-time and as-of lookups.

Last updated: 2026-06-17Reviewed by: Dr. Jennifer Montecillo, MD — Gullas 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.
  • An append-only store keeps every prior snapshot, so a corrected value never overwrites the record that was live before the correction.
  • Point-in-time API reads accept an as-of date and return the data exactly as it stood then — the foundation of an audit-grade historical lookup.

Frequently asked questions

What is bitemporal data?
Bitemporal data tracks two timelines for every fact — when it was true in the real world (valid time) and when it was recorded in the database (transaction time) — so history stays reconstructable after corrections.
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 revise records retroactively, so an audit must show what the data said on a past date, not just what it says now. A bitemporal store answers as-of queries against any prior point.

Related terms

  • Provenance
  • Attestation
  • Entity Resolution
  • NPPES

Explore in Fonteum

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

  • PlatformPoint-in-time snapshots
  • PlatformProvider data API
  • PlatformSource freshness

Authoritative sources

  • Martin Fowler: bitemporal history (valid vs transaction time)↗
  • CMS NPPES weekly and monthly data files↗
← All glossary terms

The substrate, by the numbers

44federal source familiesDistinct CMS, OIG, HRSA, FDA and peer datasets
35dataset pagesCitable, downloadable /data catalog pages
65reproducible studiesEach shipping the SQL behind its figures

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
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  • 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

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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.

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