Archives: Agenda
Afternoon refreshments and networking
INTERACTIVE WORKSHOP – PART 2: Putting the framework to the test: Hands-on trend forecasting for clinical data management
Concept: This is the practical second half of the workshop, where attendees use real examples to test and refine the trend forecasting framework. Working through guided scenarios, participants will identify signals and translate outputs into concrete decisions.
Takeaway: Attendees will leave having validated the framework through hands-on practice, with a completed sample forecast and a reusable template they can take back to apply to their own clinical data management processes
Lessons learned when implementing AI effectively to enhance rare disease clinical trials
- Identifying where AI can enhance clinical trial processes for rare disease programs
- Overviewing common challenges when introducing AI to clinical processes
- Successfully implementing AI within teams to avoid delays and implementation challenges
How to outsource in clinical data management effectively: Governance, quality, and control without losing speed
- Exploring practical strategies for outsourcing CDM functions to support successful clinical study delivery
- Establishing clear governance and communication models with vendors to enhance efficiency and maintain data quality and oversight
- Leveraging vendor capabilities effectively while sticking to budget and without compromising operational control