DICOM Image Repository Reviews & Product Details

Clinion’s DICOM Image Repository enables clinical teams to upload, de-identify, store, and access medical images within the same system used for trial data. AI is used to automate image processing, helping reduce manual effort while keeping data compliant and traceable. What can you expect? ● AI-Based Image De-Identification Automatically detect and remove patient identifiers from images in under 30 seconds before storage. ● Direct Integration with EDC Link images to subject records, visits, and CRF pages to maintain consistency across data. ● Support for Multiple Formats Upload and manage DICOM, JPEG, PNG, and PDF files within a single system. ● Built-In Image Viewing Access and review images using an integrated viewer without external tools. ● Centralized Storage and Access Store images securely and access them through a browser from any location. ● Traceable Audit Records Maintain logs of uploads, changes, and access to support compliance requirements. Impact Image de-identification completed in under 30 seconds Reduced manual handling of imaging data Improved alignment between imaging and clinical data