Dicom Anonymizerv0.1.0

A hospital radiology department needs to share imaging datasets with academic researchers while staying HIPAA compliant. The anonymizer batch-processes entire DICOM directories, strips PHI, and generates audit logs proving de-identification for IRB approval.

A contract research organization collects DICOM scans from multiple hospitals for a clinical trial. Using pseudonymized study UIDs and preserved study linkage, they consolidate images across sites without exposing patient identities.

An AI startup building diagnostic imaging models must assemble thousands of annotated scans. They use batch mode with configurable keep-tags to retain age and demographic fields vital for model accuracy while removing all direct identifiers.

A teleradiology service anonymizes incoming scans before routing them to remote reading physicians and long-term cloud archives. Audit JSON logs satisfy regulatory documentation requirements and support incident traceability.

A veterinary teaching hospital shares animal imaging studies with collaborating universities for comparative research. Although PHI rules differ, the same batch anonymization cleans owner names and clinic identifiers embedded in DICOM metadata.

Offer a cloud-hosted anonymization dashboard with team accounts, storage quotas, and API access for hospitals and research labs. Recurring monthly fees scale with number of users and processed studies.

License the tool for deployment inside hospital firewalls where patient data cannot leave the premises. Includes installation support, custom tag rule configuration, and compliance documentation packages.

Expose anonymization as a metered REST API for EHR vendors, PACS integrators, and AI data platforms. Customers pay per file processed with volume discounts and SLA guarantees.