ENCOG™
PHI Data Anonymization
The future of data privacy
Protecting patients today
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.
Streamline Data Anonymization with ENCOG
Managing sensitive healthcare data doesn’t have to be complicated. ENCOG simplifies the process by leveraging AI to remove Protected Health Information (PHI) from metadata, pixel data, and private tags, all while preserving clinically relevant information.
Whether anonymizing MR, CT, XR, or ultrasound images, ENCOG ensures data integrity by maintaining relationships through hashed identifiers and applying consistent date shifts. With seamless integration into your PACS/VNA workflow, ENCOG™ enables secure and efficient data transfer to other DICOM sources or storage locations.
AI-powered anonymization ensures patient privacy while retaining data utility. ENCOG™ drastically reduces the risk of exposing sensitive patient information, empowering healthcare organizations to confidently use de-identified data for research, analysis, and innovation.
4,000+
DICOM fields protected by ENCOG
Intelligent Removal of Burned-In PHI
Burned-in PHI, such as names, dates, or IDs overlaid on medical images, poses a significant privacy risk. ENCOG leverages advanced “content-aware” Computer Vision algorithms to identify and remove these overlays from pixel data while preserving clinically significant text. By analyzing high-contrast strokes and consistent text widths, ENCOG ensures that critical information—like laterality markers, patient positioning, and projection details—remains intact for clinical use.
100%
Detection of overlaid text
