❗ The Problem We Solve

Hospitals and research teams struggle to make unstructured patient data usable — and safe. Free-text, referral letters, scanned documents, and lab reports often contain sensitive identifiers. Existing tools can’t handle the variety, and privacy teams face a bottleneck.

✅ The OASYS De-ID Solution

OASYS De-ID automatically detects and removes or recodes personally identifiable information (PII) across any data format — from tabular files to scanned referral letters. Whether you’re preparing data for research, AI development, or external sharing, De-ID ensures it’s compliant, auditable, and secure.

It’s the most complete pseudonymisation pipeline available — and the only one built to serve both clinicians and compliance officers alike.

⚙️ How It Works

• 🔍 Detect PII in any data type — names, BSNs, contact info, dates, handwritten text

• 🔁 Remove or Recode fields automatically based on your policy (anonymisation or pseudonymisation)

• 🧪 Review & QC — human-in-the-loop review dashboards for compliance and audit readiness

🚀 Key Benefits

📄 All Data Types Supported

From HL7 and tabular exports to unstructured clinical notes, PDFs, and images (OCR-enabled).

🔐 Privacy-by-Design

Built with the strictest GDPR and ISO/NEN compliance standards by Design

⏱️ Fast, Auditable, Configurable

Process documents in batches or on-demand with full logs, role-based access, and policy templates.

⚙️ Plug-and-Play for AI

Prepares your data for secondary use in research and internal analytics.

💡 Use Cases

• AI-readiness of any data type, transform your legacy data

• De-identification (anonymisation or pseudonymisation) before data processing & sharing

• Privacy pipeline for AI model development

• Preparing EHR text for clinical NLP use

• GDPR-compliance for real-world data platforms