Archives: Agenda

PANEL Harnessing Technology: Innovations in Patient Recruitment and Retention for Clinical Trials

As clinical trials become increasingly competitive, utilizing technology to improve patient recruitment and retention is essential for success. This panel will explore innovative methods and tools that streamline recruitment processes, leverage AI and machine learning to accelerate timelines, and engage patients through digital platforms, including social media.

  • Understand the current challenges in patient recruitment and retention in clinical trials.
  • Explore technology-driven methods to streamline recruitment and enrollment processes.
  • Analyze the role of AI and machine learning in enhancing trial efficiency and reducing costs.
  • Discuss best practices for engaging patients through social media and other digital channels.

 

AI-Powered Clinical Outsourcing: The Future of Strategic Sourcing

In the fast-paced procurement landscape, staying ahead is crucial. AI is revolutionizing clinical business operations, from strategic sourcing to vendor management and cost optimization. AI-driven tools are enhancing decision-making, streamlining workflows, and accurately predicting study costs. Ideal for outsourcing managers, clinical operations, and R&D finance professionals, learn to leverage AI for smarter, more efficient procurement.
 

 

ROUNDTABLE DISCUSSIONS

Interactive Roundtable sessions offer a unique opportunity to come together with your peers to share best practice and develop solutions to critical challenges facing the industry. Hosted by industry experts and each focused on a single issue, think tanks are an exciting, interactive way to build your personal network and learn from the experience and expertise of others. Each think tank session lasts for 30 minutes, and delegates may attend up to 2.

 

Roundtable 1: Site Selection and working relationships with your site to increase reliability.

Sandra Sistiaga Hernando, Site Engagement Lead, GlaxoSmithKline

Roundtable 2: The role of lived experience in Clinical Trials: Meaningful patient engagement in clinical trials is vital to develop impactful and relevant outcomes

Cameron Keighron, Patient Advocate

Roundtable 3: Bringing Innovation to Clinical Trials

Laura Jiménez Robledo, Clinical Innovation Manager, Novo Nordisk

 

 

Connect What Matters: Making RTSM Integration Work for Your Trial

Clinical trials rely on an interconnected ecosystem—RTSM, EDC, CTMS, eCOA, and more—but integrating these systems can become a bottleneck. Disconnected tools lead to inefficiencies, manual workarounds, and increased risk of errors, all of which slow down decision-making and trial execution.

This webinar explores the critical role of RTSM integration, highlighting best practices for eliminating data silos, reducing workflow disruptions, and improving automation across your tech stack. Learn how smarter integration can improve data flow, reduce site burden, and support a more efficient trial experience.

 

Key Learning Objectives

  • Understand why RTSM integration is a common challenge and how disconnected systems create inefficiencies and risks
  • Learn how point-and-click integrations enable seamless data exchange across EDC, CTMS, eCOA, and more
  • Explore how real-time synchronization strengthens data integrity and audit readiness
  • Discover strategies to reduce workflow disruptions and make RTSM integration seamless for study teams
  •  Gain a forward-looking view of RTSM’s role in building a more connected, responsive clinical trial ecosystem

 

 

Transforming Clinical Trials with AI and Real-World Data (RWD): A New Era of Innovation

Key Topics Covered:

  • Introduction to the Transformative Landscape: Overview of how AI, ML, and RWD are fundamentally changing the structure and execution of clinical trials.
  • Advanced Trial Design & Digital Integration: Detailed discussion of Federated HER platforms and eSource-supported trials, showcasing their impact on operational efficiency and trial accuracy
  • AI-Driven Patient Recruitment Strategies: Exploration of unstructured data integration (clinical notes, lab reports) and its role in precise patient identification and accelerated recruitment timelines.
  • Case Studies and Real-World Applications: Presentation of practical examples, including AI-driven recruitment solutions for pharmaceutical trials and data quality improvements within the European Health Data Space (EHDS).
  • Outlook and Future Developments: Insights into emerging trends, such as increased cross[1]border collaboration, patient-centric approaches, and the evolution of AI applications in enhancing trial efficiency and global healthcare outcomes

Trends in clinical outsourcing and partnerships, biotech’s vs large pharma. The CRO perspective

  • The effects of R&D growth, productivity, and macro-environmental factors on clinical outsourcing strategy in biotech and large pharma
  • How is this changing the CRO Market?
  • How do biotech and large pharma sponsors view CROs and what are they really looking for in a partner?
  • What does successful partnership look like for a CRO?
  • How to leverage CRO partnerships to drive productivity through innovation – a CRO perspective

An overview of high-fidelity synthetic data applications

  • Defining high-fidelity synthetic data
  • MHRA approach to synthetic data generation
  • Can synthetic data be used to validate ML algorithms?
  • Can synthetic data be used for sample boosting?
  • Can synthetic data address biases due to underrepresentation?
  • Can synthetic data be used to enhance clinical trials (CTs)?
  • Regulatory considerations