Organizing Data for the Next Generation of Clinical Research

Session details:

As clinical data volumes grow and AI‑enabled workflows become more embedded in R&D, organizations are being forced to rethink how data is organized, governed, and ultimately made useful. This discussion addresses:

• The realities of restructuring legacy data environments to support digital data flow and connectivity across genetics, clinical, and real‑world data

• How to ensure that all available data is meaningfully incorporated into study design

• Emerging governance challenges, including long‑term privacy risks as AI identifies patterns across historical datasets

• Evolving the role of patients to collaborators
• How advancements in data management systems and augmented data engineering (ADE) approaches are performing in practice, where they are delivering value, and where gaps remain