- Design trials that support both CE marking and joint clinical assessment
- Anticipate payer expectations when choosing clinical endpoints
- Avoid duplicative evidence generation by aligning early
Archives: Agenda
Session reserved for event sponsor
Chairperson’s opening remarks
Registration and refreshments
Simplifying PMCF with realistic and actionable strategies
- Create lean survey strategies that deliver quality insights
- Integrate PSURs, CERs and PMCF into a manageable system
- Reduce documentation burden without losing regulatory value
Afternoon refreshments and networking
Aligning clinical trial execution with business objectives
- Examining the “business behind clinical” and how operations leaders can demonstrate ROI, efficiency, and scalability
- Meeting regulatory expectations while supporting commercial growth
- Translating clinical results into business impact: internal KPIs that matter
- Creating adaptable infrastructure for long-term clinical evidence generation
PANEL DISCUSSION Getting innovative devices approved in today’s regulatory landscape
- Exploring options when traditional clinical data requirements cannot be fully met at submission
- Establishing a robust clinical strategy using early dialogue, risk-based justification and post-market commitments
- Leveraging expert panels, NB consultations and scientific advice to de-risk approval pathways
Moderator: Dr. Fatima Bennai-Sanfourche, Senior Director of QA & RA Compliance for Medical Devices and eHealth, Bayer
Leveraging retrospective data for CE marking and robust clinical evaluation under MDR
- Sharing a practical case study on using retrospective clinical data to meet evidence requirements for CE marking
- Demonstrating how to align historical data with current MDR expectations for robust clinical evaluation
- Highlighting lessons learned, common pitfalls, and tips for ensuring Notified Body acceptance
Planning evaluations that withstand reclassification and scrutiny
- Future-proof your CERs against class shifts and MDR updates
- Address challenges when intended purpose evolves with technology
- Build defensible clinical arguments for AI-enabled systems