Healthcare & life sciences

Realistic member, encounter and claim test data, with PHI kept in your network.

Entity templates, detection rules and scenarios for member, patient, encounter, claim and provider data.

A clinical team in scrubs and white coats walking down a bright hospital corridor
A healthcare entity graph (illustrative)An illustrative healthcare model: a member or patient has coverage under a plan, encounters with providers, and claims that reference encounters, providers and coverage. Subsets and masking must keep these links intact.Healthcare & life sciencesMember / patientCoverage & planEncounterProviderClaim
A healthcare entity graph (illustrative). An illustrative healthcare model: a member or patient has coverage under a plan, encounters with providers, and claims that reference encounters, providers and coverage. Subsets and masking must keep these links intact.
Text description
  1. Healthcare & life sciences: Member / patient → Coverage & plan → Encounter → Provider → Claim

Entities

  • Member / patient
  • Coverage and plan
  • Encounter
  • Provider
  • Claim and claim line

Sensitive data it helps find

  • Names, addresses, dates of birth and contact details
  • Member, medical-record and other health-plan identifiers
  • Diagnosis, procedure and medication codes in context
  • Free-text clinical or claim notes

Masking presets

  • Date shifting that preserves intervals between a member’s events
  • Consistent pseudonymous member identifiers across claims, eligibility and encounter systems
  • Suppression or synthesis of free-text notes

Synthetic scenarios

  • A member with multiple coverage periods and a mid-year plan change
  • Claims that are denied, resubmitted and adjusted
  • Providers linked to many encounters across facilities

Regulatory context

Supports organisations running HIPAA-related privacy programmes by keeping PHI inside their environment and producing certification evidence. It does not, by itself, make any system compliant with HIPAA.