Healthcare organizations handle vast amounts of documents containing patient information, insurance details, treatment records, and administrative data. The client needed to understand where sensitive personal information existed across their systems and ensure appropriate handling under privacy regulations.
We deployed a PII detection and classification system that scans documents across the client’s repositories — identifying personal names, addresses, insurance numbers, medical record identifiers, and other sensitive data categories. The system classifies documents by sensitivity level and maps data flows between systems.
The NLP models were tuned for the healthcare domain, handling Japanese medical terminology, mixed-language documents, and the specific patterns of medical record formats. We implemented a tiered classification scheme aligned with the client’s existing data governance policies.
The system provides the compliance team with a continuous inventory of sensitive data locations, supporting both regulatory reporting requirements and internal data protection audits. It operates as an ongoing monitoring tool, not a one-time scan.