Unlocking Real-World Data for Analysis: Experiences De-identifying Complex Data

To responsibly analyze real-world data, it is essential to de-identify it so that the data can no longer be traced back to specific patients, maintaining their privacy. This webinar will walk through key learnings from two case studies on the de-identification of complex health datasets.

The first case study will depict a unique use case, in which a client and data partner successfully de-identified unstructured clinical notes utilizing our software-enabled consulting services. The second case study will delineate how a large pharmacy retailer gained the novel capability to unlock their internal structured data for analytics using a software-enabled de-identification pipeline.

Key Topics:

• Overview of key privacy regulations that govern the re-use and sharing of health data including HIPAA and GDPR
  
  
• Unstructured data is estimated to make up 80% of all health data and we will describe the significant impact of a robust de-identification process for unstructured health data
  
  
• Building automated de-identification pipelines for structured data to reduce time to insights