Archives: Agenda

• How to create a patient-centric clinical protocol to obtain the necessary data and validate your primary objective
• Overcoming trial inefficiencies by better aligning HER systems at the site with EC systems CROs use
• You don’t know what you don’t know: tackling knowledge limitations to allow your drug trial to succeed

• Country & site selection
• Patient identification & recruitment
• Timelines & startup complexity
• Consultants & collaboration
• Conferences & knowledge sharing

• Reviewing challenges in designing a rare disease trial
• Discussing approaches to optimize a rare disease clinical trial design
• Considering incorporating a competitive mindset in designing a rare disease clinical trial

2:45pm – PRIZE DRAW
Visit our exhibitors’ booths throughout the 2 days and collect stamps in order to enter our Prize Draw and be in for a chance of winning Apple prizes or Amazon vouchers. The Prize Draw will take place in the Exhibition Hall. Make sure you don’t miss out!

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