De-identification is a crucial building block of any healthcare partnership. Yet, there are two main problems: first, by using de-identification you also strip it of its clinical value. Second, once the data is anonymized, patients can often be re-identified if their record falls into the wrong hands.
At Briya, we commit to de-identifying data without compromising on accuracy or reliability by using three steps: We don’t prepare datasets ahead of time, leaving them to go stale or to be mined for sensitive information, but pull fresh data directly from the source. We also use fraud detection algorithms to detect suspicious queries and block re-identification attempts in real time.
Thanks to our decentralized architecture, de-identification is performed on premise so that customers remain 100% compliant.
Our 3 level De-ID is the most secure option available:
Data is structured differently everywhere. This creates internal silos and complicates potential data partnerships. Data collaborations can’t run smoothly before each field is understood and mapped.
Briya has developed powerful schema translation capabilities that tackle these challenges. We provide the infrastructure that translates all schemas, no matter how diverse, into the international FHIR standard.
You write your queries in the schema you’re familiar with and our SQL editor will auto-complete it.