Curie|ENCOG is an artificial intelligence enabled data anonymization tool that keeps all clinically relevant information while removing and protecting Protected Health Information, auditing activities, and maintaining a chain of custody. PHI is removed from all attributes, including where it is burned in. ENCOG uses computer vision and Natural Language Processing (NLP) to differentiate PHI from relevant clinical information. Deidentified or anonymized data supports the sharing of clinical information for use in medical research and development.
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.
The basic components of a real-world database require data to be deidentified to protect patient data. Add standardization of different datasets from multiple sources to better create clinically relevant cohorts and the real-world database becomes highly valuable. The opportunity to monetize this deidentified, standardized data with clinical research organizations, clinical trials or research organization increases the value of your data significantly. When combing ENDEX for data standardization and ENCOG for your anonymization, you achieve clinical context not achievable with today’s naming conventions from all modalities. In addition, your get a high level of security through AI driven anonymization and consistent naming for your data – making data curation easy and fast.
See how ENCOG can impact your department
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