Canada Health Service Number
Detects Canada Health Service Number patterns. This pattern is based on a Microsoft Purview built-in sensitive information type. Due to the generic numeric format, corroborative evidence keywords are essential for reliable detection.
- Type
- regex
- Engine
- universal
- Confidence
- medium
- Confidence justification
- Medium confidence: ten-digit numbers are common in many contexts. Corroborative evidence keywords such as 'health card' or 'OHIP' are needed for reliable detection. Context label evidence plus explicit template/example exclusion improves precision for high-risk identifiers. Added context gating and exclusion rules improve precision and reduce incidental matches.
- Detection quality
- Partial
- Jurisdictions
- ca
- Regulations
- FIPPA, Law 25 (QC), PHIPA, PIPEDA
- Frameworks
- ISO 27001, ISO 27701, SOC 2
- Data categories
- phi, health, government-id
- Scope
- narrow
- Risk rating
- 8
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Compatible
Pattern
\b\d{10}\b
Corroborative evidence keywords
health card, health service, OHIP, health number, provincial health, carte santé, health card number, health identification, Manitoba Health, numéro de santé, patient number, personal health, PHIN, carte sante, health identification number, health insurance, health insurance number, health plan, health service number, health services (+43 more)
Proximity: 300 characters
Should match
1234567890— Ten-digit health service number format9876543210— Ten-digit provincial health card number5566778899— Ten-digit health service identifier
Should not match
123456789— Nine digits, too short for health service number12345678901— Eleven digits, exceeds health service formatsample template placeholder number 123456789— Template/sample context should be excluded even when numeric-like values appeartemplate example placeholder record identifier— Template/sample context should be excluded even when anchor words are present
Known false positives
- Generic numeric sequences matching the digit pattern in non-health contexts Mitigation: Require corroborative evidence keywords within the proximity window to distinguish health identifiers from general numeric data.
- Reference numbers or account identifiers from other domains with similar digit counts Mitigation: Layer with document classification to prioritise matches in health and medical documents.