Case Study: Muscular Dystrophy Association accelerates secure patient data sharing with Privacy Analytics

Muscular Dystrophy Association streamlines data sharing from 6 weeks to within a week with Privacy Analytics

The Muscular Dystrophy Association (MDA) faced the challenge of securely and efficiently sharing data from its rare disease patient registry with external researchers. With an influx of requests from academia and life sciences companies, their manual, one-off process for data de-identification was unsustainable. They turned to vendor Privacy Analytics for a turnkey data de-identification solution to protect patient privacy while meeting research needs.

Privacy Analytics implemented a systematic de-identification plan, consolidating MDA's numerous potential data-sharing scenarios into just three distinct strategies. This solution provided MDA with a scalable and efficient process, enabling them to deliver de-identified data to approved researchers within a week instead of six. The results included significant time and cost savings, accelerated research into treatments, and, most importantly, the peace of mind that patient data was being shared responsibly and securely.

Muscular Dystrophy Association