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A top sponsor had a large amount of data from completed studies that they were not able to utilize to its full potential due to compliance standards for protected healthcare information. They enlisted d-wise to help with a pilot project to assist them in accelerating the flow of data to and from an internal data lake by automating data anonymization to achieve re-identification risk levels suitable for internal secondary use.
They enlisted d-wise to help:- Create a scalable method to anonymize multiple studies
- Enable a data flow that facilitates compliant internal sharing
- Establish & enforce an appropriate risk threshold
Learn how we helped the client anonymize 5 core datasets from 84 studies in 30 minutes with just one manual task.
