NDC
Detects NDC patterns.
- Type
- regex
- Engine
- universal
- Confidence
- high
- Confidence justification
- High confidence: structurally constrained pattern with corroborative keyword support reduces false positive rates significantly. Added context gating and exclusion rules improve precision and reduce incidental matches.
- Detection quality
- Verified
- Jurisdictions
- global
- Frameworks
- ISO 27001, ISO 27701, SOC 2
- Data categories
- phi, healthcare
- Scope
- narrow
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Compatible
Pattern
\b(\d{4}-\d{4}-\d{2}|\d{5}-\d{3}-\d{2}|\d{5}-\d{4}-\d{1})\bCorroborative evidence keywords
MRN, medical record number, patient ID, NPI, DEA, medicare, medicaid, insurance ID, member ID, beneficiary, ICD-10, ICD-9, CPT, NDC, SNOMED, HCPCS, diagnosis code, procedure code, drug code, medication (+37 more)
Proximity: 300 characters
Should match
0002-3227-01— NDC in 4-4-2 format12345-678-90— NDC in 5-3-2 format12345-6789-0— NDC in 5-4-1 format
Should not match
12345-678— Only 2 groups instead of 3 (missing package segment)123-4567-01— Wrong digit count in first group (3 instead of 4 or 5)12345-67890-1— Too many digits in second grouptemplate example placeholder record identifier— Template/sample context should be excluded even when anchor words are present
Known false positives
- Medical terminology in health education materials, research publications, clinical guidelines, or public health documents without patient-specific data. Mitigation: Require corroborative evidence keywords confirming patient context. Look for co-occurrence with patient identifiers such as medical record numbers or dates of birth.
- General wellness and fitness content using medical vocabulary without constituting protected health information. Mitigation: Layer with patient identifier patterns or healthcare-specific document structure detection to distinguish clinical records from general health content.