Session ID: 
220

Novel Genomic De-Identification Method to Enable Research

10:00am - 11:00am Thursday, February 14
Orlando - Orange County Convention Center
W314B

Description

The ability to combine genetic information with phenotypic data at scale for research purposes has been a key objective of medicine since the sequencing of the first human genome. The rapidly decreasing costs in sequencing technology and the collection of genetic information through clinical practice from covered entities is explosively growing the availability of genetic data. This is accelerating genomic research but also accentuating the importance of managing privacy risks. Gaps in the current approaches to managing genomic data privacy and in existing analytic platforms demonstrate the need for novel tools to convert identifiable genomic information into de-identified data. This session will provide a review of the genomic data landscape, an assessment of current genomic data protection techniques and a discussion of a novel genomic de-identification platform.

Learning Objectives: 

  • Describe why there is an increasing emphasis on genomic data privacy
  • Explain why traditional de-identification approaches do not work with genomic data
  • Evaluate current genomic data privacy approaches and their relative risks and benefits
  • Identify the key features of a comprehensive genomic de-identification approach

Speaker(s): 

Vice President, RWI,
IQVIA
Associate Director, RWI,
IQVIA

Audience: 

CMIO/CMIO
Life Sciences Professionals
Professor/Academician

Level: 

Intermediate