Scott Kahn | Former CIO and VP Informatics
Illumina

Appearances:

Data is often silo-ed by the disease being studied due to the study protocol
Lack of standardization of ontologies and data definitions complicate inter-study aggregation
Challenges remain for sharing of data due to differing laws and participant concerns
Collection of additional data designed to enhance the ability to connect data sets can be transformational
Repurposing extant clinical and observational trial data for secondary projects can broaden impact
Building networks of data sets between disease areas can advance precision medicine