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Medical PHI Redaction & Anonymization

Medilis Medical PHI Redaction & Anonymization enables healthcare organizations to safely upload medical information to cloud-based workflows by automatically detecting and redacting patient-identifiable information before upload.

The system is designed to remove or mask PHI from clinical referral forms, patient background information, scanned PDF documents, medical images, and other supporting clinical materials. It supports both text-based and image-based medical content, including scanned documents and uploaded pictures.

PHI redaction is performed before the data is sent to the cloud, allowing healthcare organizations to protect patient privacy while still using cloud AI services, automation tools, and clinical workflows.

This solution is especially useful for scenarios where referrals, clinical history, patient background, scanned PDFs, and medical images must be uploaded for AI analysis, reporting, decision support, or secure external processing.

For enterprise deployment, custom redaction rules, workflow integration, or large-scale cloud processing environments, please contact Medilis for a commercial proposal. for more details 

Short Description

Automatically detects and redacts PHI from medical images, referral forms, clinical background, scanned PDFs, and patient documents before secure upload to cloud-based AI and clinical workflows.

Key Capabilities

• 100% on-premises deployment
• Multilingual OCR support
• Text, PDF, scanned document and image redaction
• DICOM / PACS screenshot redaction
• Smart dark-background OCR for medical imaging systems
• Preserve Fields allow-list to prevent false redaction
• Configurable PII patterns and keyword lists
• REST API integration
• Admin console with live tester and audit logs
• Air-gap deployable with offline licensing

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