Medical web application ENCOG™

CTfor MRIfor ultrasound imaging

It is data anonymization tool powered by AI that keeps all clinically relevant information while removing and protecting Protected Health Information (PHI), auditing activities, and maintaining a chain of custody. PHI is removed from all attributes, including where it is burned in and private tags. ENCOG uses computer vision and Natural Language Processing (NLP) to differentiate PHI from relevant clinical information. Supported modalities include MR, CT, XR, and ultrasound. ENCOG maintains the historical associations of a patient study by applying a consistent shift to dates, preserves the identifiers that are needed for associating patient data, and defines redaction rules by DICOM attribute or value representation. Data can be re-identified using a decrypt key – this can ONLY be done where the deidentification occurred. The decrypt key is owned by the organization, ensuring security is maintained. It is data anonymization tool powered by AI that keeps all clinically relevant information while removing and protecting Protected Health Information (PHI), auditing activities, and maintaining a chain of custody. PHI is removed from all attributes, including where it is burned in and private tags. ENCOG uses computer vision and Natural Language Processing (NLP) to differentiate PHI from relevant clinical information. ENCOG maintains the historical associations of a patient study by applying a consistent shift to dates, preserves the identifiers that are needed for associating patient data, and defines redaction rules by DICOM attribute or value representation.