Webinars

Your structured clinical trial data is an increasingly valuable resource that benefits new analytics, research, and innovation. With the pressure being put on pharma to collaborate and share trial data, your organization wants to step up and contribute, but patient-level data contains large amounts of sensitive information, regulators and the public need to see that privacy is protected, and protecting privacy often means losing data utility. Fortunately, Privacy Analytics can help you overcome each of these challenges.

If you want to safely leverage the increasing value of your sensitive data by implementing data anonymization at scale, you’re likely facing one (or all) of these critical challenges: managing high volumes, varied requests, and short turnaround times; finding people with the skills needed to achieve high data utility; and adopting a defensible, standardized approach to anonymization. Fortunately, software can help you overcome each of these challenges.