Case Study: Medical Device Distributor achieves secure medical image de-identification for real-world evidence with Privacy Analytics

Medical Device Distributor - Customer Case Study

Medical Device Distributor worked with Privacy Analytics to address the challenge of making medical imaging data usable for research and machine-learning applications while protecting patient privacy and meeting regulatory requirements. The company needed a reliable way to de-identify DICOM medical images from multiple sources so the data could support secondary uses such as computer-assisted diagnosis, biomechanics, and surgical documentation.

Privacy Analytics implemented its image de-identification services, including image sorting, pixel data scrubbing, and header processing, to create a client-built de-identification workflow for medical image datasets. As a result, Medical Device Distributor was able to share high-quality imaging data for secondary purposes, onboard new machines more efficiently, and maintain an acceptable privacy risk threshold while supporting innovation and data access controls.