Agenda Archive

Afternoon refreshments and networking

Capitalizing off the prominent role IRTs play in the decentralized approach of
direct-to-patient drug deliveries Strategies for mid-study changes and how to best prepare for these
Achieving the greatest amount of visibility and control possible with IRT usage
Knowing when to justify the costs of customized IRT for the nature of your study

Ensuring readiness for unexpected disruptions: Contingency planning for failed batches to maintain supply chain resilience
Phase-appropriate inventory planning and how to best manage this alignment
Implementing the right tools and making data-driven decisions to modernize your inventory management strategy
Key considerations and solutions for improved tracking, managing, and purchasing supplies

Introduction to AI in IRT – Understand the foundational concepts of machine learning, natural language processing, and data analytics.
Advanced Techniques with ChatGPT Plus – Explore pre-designed flows, customization, data visualization, and automation within IRT.
Next-Level AI Integration – Discover how AI can streamline core and auxiliary functions in clinical trials, from patient engagement to data analysis.
Enterprise Adoption of LLMs – Gain insights into strategic planning for large-scale AI adoption and future roadmaps for integrating AI into your enterprise.
Senior Representative, Endpoint Clinical

Managing all considerable factors when it comes to data handling
Do the sites or vendors have a Data Privacy Officer or SOPs around data handling?
How to review data in an efficient way

Why is supply chain planning important?
What are the foundational elements of successful supply chain planning for clinical trials?
What does the Clinical Planner need to account for within their plan?
What does the Clinical Planner need to effectively manage their plan?
Which business processes are required to ensure the Clinical Planner keeps their plan current and accurate?