PROTECT PHI & RETAIN CLINICAL RELEVANCE We understand spending time on research and analysis is more important than relabeling data. With Enlitic you can standardize and anonymize your medical imaging data while retaining clinically relevant data. WHAT IS ENCOG™? ENCOG is an artificial intelligence tool designed to analyze medical imaging data to locate Protected Health Information (PHI) and anonymize or de-identify it. This process retains the clinically relevant data, making it more useful for research and analysis while reducing the burden on staff to relabel medical images and enhancing its value for data monetization strategies. PHI and clinically relevant rich data Anonymized, clinically relevant data FEATURES AND BENEFITS Eliminates PHI from all attributes, including burned-in data and private tags, while retaining clinically relevant information Utilizes Computer Vision and Natural Language Processing (NLP) to distinguish PHI from relevant clinical information Compatible with MR, CT, XR, and ultrasound imaging Applies a consistent shift to dates to maintain historical associations and preserves necessary identifiers Data can be re-identified using a decrypt key, which is owned by the organization and ensures security, but only where the deidentification occurred

Data Anonymization Impacts the Quality of Data Utilized in These Use Cases: Make Your Data Work For You Rounds/ Training Algorithms/Teaching Files Validation Testing Anonymizes and deidentifies Ensures clinical relevance while data, protecting PHI while addressing potential PHI areas, maintaining the clinical relevance and combined with ENDEX, of the study, including burned-in selects appropriate studies for AI pixel data and DICOM metadata. algorithm testing and validation. National Disease Registries Deidentified data that maintains clinical relevance reduces curation time for registries and...