Archives: Agenda

Interactive roundtable sessions offer a unique opportunity to come together with your peers to share best practice and develop solutions to critical challenges facing the industry as a whole. Each discussion will be led by a table moderator and will focus on a different challenge within clinical data management. Roundtables are an exciting, interactive way to build your personal network and learn from the experience and expertise of others.

After 45 minutes, delegates will have the opportunity to swap and choose a different table, and each roundtable will run twice.

Roundtable 1
Selecting the right strategic clinical data outsourcing model to meet changing clinical development needs

Roundtable 2
Sharing best practices for managing external data such as biomarkers and how sponsors are approaching this
Hosted by Tina Patel, Data Delivery Head-Early Development, Sanofi

Roundtable 3
Data identity, Integration, and privacy issues and opportunities to consider while enabling patient-centric data management
Hosted by Dinesh Pillaipakkamnatt, Former Director, Business Enablement Lead in Digital Innovation, Merck

• Demystifying the language of AI to assess whether it’s really the right solution for your study
• Concrete use cases for its successful and unsuccessful implementation
• Addressing concerns of inherent bias in data and increased data security and privacy fears
• What systems and vendors are on the market, and assessing their offerings for your specific data needs

• A roadmap to future proofing clinical data management: Implementing agile approaches to optimize stale workflows
• What will the growth of new clinical software vendors look like, and what will their offerings be?
• Scaling EDC and other systems to lead to the development of an integrated e-clinical environment and contribute to operational successes
• Ways in which today’s competitive pressures can push the industry to seek improved drug development strategies and shorten timelines

• Moving away from fragmented data and towards simplified pathways and what are the tools needed to facilitate data alignment?
• A look at Johnson&Johnson’s newly built platform to handle different data formats
• Ways to work together as an industry to hep standardize current processes
• Adapting to increased data sources and understanding the roadblocks to consolidating disparate data
• How can biotechs reliably minimize data risk and maximize data quality when combining different data sources?

• Running the trial: innovative approaches and overcoming challenges
• Treating with oncolytic virus intra-tumoral therapy
• Reaching clinical success: findings and future plans

• Comparing outcomes of a DCT model versus non DCT model
• Sharing benefits and lessons learned from experiences within rare disease DCTs