Case Study: Hydrating a Data Lake with Clinical Trial Data: Automating Data De-Identification for Secondary Use

Complete the form to read the case study about how one global pharmaceutical sponsor was able to anonymize 84 clinical trials’ worth of data in different formats in only 30 minutes.

A top pharmaceutical sponsor had 84 clinical trials’ worth of data they wanted to utilize to its full potential to research new therapies. However, due to regulations, patient data can only be used for why it was initially collected. On top of that, the datasets were in different formats, making mass anonymization a lengthy and complex process. The sponsor also wanted to measure the risk of re-identification. Typically, a project of this scope takes months to complete.

Complete the form to read about how the sponsor was able to anonymize 84 clinical trials’ worth of data and set all data sets to the same format in 30 minutes.

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