Study start-up remains one of the biggest bottlenecks in clinical trials, with manual EDC database setup consuming time, effort, and resources. This webinar shows how AI is changing that process.
Attendees will see a live demo of a tool that takes a PDF protocol and automatically generates an EDC database setup. By translating protocol content directly into structured EDC components, the approach drastically reduces build timelines and improves alignment between protocol intent and data capture.
The session also explores the impact on protocol amendments, showing how automated protocol-to-EDC workflows enable faster updates, less rework, and greater agility when studies change.
Finally, we’ll discuss what this shift means for data managers: how their role evolves from manual configuration to oversight, validation, and design governance, and how teams can prepare to adopt AI-driven database build with confidence and control.
- See how AI changes EDC database setup
- Understand the impact on data management processes
- Learn how to build confidence with AI
- Assess the impact on the data manager role