- Learn what Data Governance entails
- How to avoid common challenges to putting Data Governance into practice
- Understand Best practices and keys to successful Data Governance programs
Archives: Agenda
Afternoon refreshments and networking
TECHNOLOGY SPOTLIGHT: Reduce cycle time with elluminate
- Discover how the elluminate Clinical Data Cloud provides a flexible foundation for increased data democratization and accessibility in a regulated environment
- Uncover the technology blueprint that enhances data value and enables the future state with efficiency through automation and AI
- See the value of an interoperable ecosystem with an end-to-end solution for clinical data review and analytics needs – from ingestion through submission
Practical applications of Quality by Design in day-to-day data management
- Unpacking the latest terms – RBQM, QBD, “informed data management” whatever is next..
- Understanding why there is a shift in traditional data management
- Requirements and potential barriers to entry
- What is everyone else doing to solve this problem and do we need to do the same thing?
Gamification in clinical trials: A proven path to better engagement, retention, and data integrity
Consistent patient engagement is vital to clinical trial success, yet dropout and non-compliance remain persistent challenges. This session introduces gamification as a scientifically grounded strategy to boost retention, enhance adherence, and streamline trial execution.
- Understand the Science: Explore the behavioral and psychological foundations that make gamification a powerful tool for sustaining patient motivation.
- See Real Results: Review real-world case studies where gamification significantly improved retention, compliance, and trial timelines.
- Apply Proven Methods: Learn practical strategies and best practices for integrating gamified elements into clinical trial protocols.
KEYNOTE: Successful strategies on CDM vendor selection and choosing the right outsourcing model for your trial
- Why is FSP becoming a popular choice among sponsor companies and how can this support meeting trial timelines?
- How do strategic alliances impact this decision?
- How to best interact with CDM vendors
- Understanding CDM outsourcing strategies for small to big pharma with differing resources
Morning refreshments and networking
KEYNOTE: Leveraging Machine Learning and Security Orchestration, Automation, and Response (SOAR) to combat cyber threats in clinical data operations
- A look at how the digital transformation of clinical trials has created unprecedented cybersecurity challenges in protecting sensitive patient data and maintaining trial integrity
- Examining how artificial intelligence and SOAR technologies are revolutionizing clinical data protection against sophisticated cyber threats, particularly Business Email Compromise (BEC) attacks
- Demonstrating how AI-driven security solutions, integrated with SOAR platforms, can detect and respond to threats in real-time while maintaining GxP compliance
- A practical framework for implementing AI-enhanced security measures in clinical data environments, including zero-trust architectures and automated response protocols for protecting electronic data capture systems.
- Gaining actionable insights into building robust cybersecurity frameworks that leverage AI capabilities to protect sensitive clinical data while ensuring regulatory compliance
From automation to autonomy: How Agentic AI is transforming clinical data management
- Explain how Agentic AI elevates clinical data management beyond rule-based automation.
- Understand the role of reasoning models in enabling autonomous decision-making within clinical trials.
- Identify key ways AI agents can improve data oversight, reduce operational burdens, and support regulatory compliance.
- Explore real-world considerations for deploying Agentic AI within existing clinical workflows.
Why patient-centric data management matters and how can we prioritize this focus?
- Demystifying individual participant data return to modernize and personalize clinical trials
- An end-to-end data-driven patient journey: from patient-friendly DCT conduct to individualized patient data return
- Use-cases: What measures will enable its adoption?
- What can we do to ensure the safe handling of vast amounts of sensitive patient data?