Automated radiology (DICOM) data de-identification solution deployable at the edge/on-prem and in the cloud. Designed for clinical research organizations, healthcare and pharma/life sciences orgs looking to comprehensively anonymize and expedite data preparation flows in the clinical imaging space. Key Features: - Hub and Spoke architecture for centralized control and orchestration, distributed execution of automated data processing pipelines - Rules-based de-identification capability to target DICOM metadata de-identification. Accepts industry-standard RSNA CTP De-identification profiles - Multi-gated, comprehensive AI-based de-identification capability to target DICOM metadata and pixel ("burnt-in") data - Interactive and intuitive data review and PHI cleansing capability / UI - Standards based data ingestion options include DICOM DIMSE, DICOMweb, HTTP/S via REST API - Native/direct PowerShare integration - Ingestion via Azure cloud storage and mounted folders - DICOM Routing capability - SOC2 TYPEII Certified, HIPAA, FDA 21CFR Part 11 & GDPR compliant