Hospital billing records

Identifies hospital billing records references in healthcare and patient records. Protected health information under applicable data protection regulations.

Type: regex
Engine: boost_regex
Confidence: medium
Confidence justification: identifier/document-structure anchored regex with constrained context replaces phrase-only detection. Added context gating and exclusion rules improve precision and reduce incidental matches.
Detection quality: Mixed
Jurisdictions: global
Regulations: GDPR
Data categories: healthcare, phi
Scope: wide
Platform compatibility: Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?is)\b(?:hospital\s+billing|billing\s+record|medical\s+billing|claim\s+submission|procedure\s+code|diagnosis\s+code|insurance\s+claim|patient\s+account|revenue\s+cycle|charge\s+master)\b

Corroborative evidence keywords

hospital billing records, hospital, billing, records, health, biomedical, information, patient, clinical, medical, practitioner, diagnosis, treatment, prescription, physician, nurse, therapy, examination, consultation, referral (+29 more)

Proximity: 300 characters

Should match

hospital billing — Primary topic phrase match
billing record — Case-insensitive topic phrase match
medical billing — Alternative topic phrase match
claim submission — Additional topic phrase match

Should not match

unrelated generic text without domain phrases — No relevant topic phrases present
placeholder value 12345 — Random text should not match topic-specific regex
patient biometric — Generic word pair from old broad template should not match

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.