ENCOG de-identifies protected health information with AI, while keeping the clinical detail that matters.
AI-Driven Anonymization for Smarter Healthcare Data
Protecting patient privacy while maintaining data utility is critical. ENCOG™ leverages cutting-edge AI technologies, including Computer Vision and Natural Language Processing (NLP), to intelligently de-identify Protected Health Information (PHI) from medical imaging data. By preserving clinically relevant information and ensuring robust security, ENCOG™ empowers healthcare organizations to unlock the full potential of their data for research, analysis, and innovation.
Comprehensive PHI removal
Eliminate sensitive data while retaining clinical relevance. ENCOG removes PHI from metadata, burned-in pixel data, and private tags across multiple imaging modalities like MR, CT, XR, and ultrasound. This ensures compliance with privacy regulations while keeping essential clinical information intact.
Secure re-identification
Control access with organization-owned decrypt keys. Re-identification is only possible where de-identification occurred, using a secure decrypt key owned by your organization. This ensures complete control over sensitive data and compliance with HIPAA and GDPR standards.
Historical data integrity
Preserve relationships and longitudinal insights. ENCOG applies consistent date shifts to maintain historical associations within patient studies. It also retains hashed identifiers to ensure patient data relationships are preserved without compromising privacy.