Agenda Archive

INSPIRATIONAL KEYNOTE Clinical Operational Excellence: Delivery like an Elite Athlete

What is the Athlete Mindset?
Parallels between elite sport and clinical trial delivery
Applying the athlete-style discipline, goal-setting, ‘pivot quickly’ mindset and performance tracking in delivering complex oncology trials
Translating setbacks into learnings and future strengths- The drive for continuous improvement-The perfect race!
Sustaining performance and energy across multi-year clinical trials- The Long-Distance Athlete

The impact of the new UK clinical trial regulations coming into force in April 2026 and what they mean for sponsors, investigators, and trial delivery
Government priorities and progress across the UK clinical research ecosystem two years on
How artificial intelligence is transforming clinical trial design, feasibility, patient identification, and operational efficiency
Cross-sector collaboration between regulators, industry, and the NHS to strengthen the UK’s position as a leading destination for clinical research
Looking ahead: building a more agile, technology-enabled clinical trials environment in the UK

Overview of available RWD sources and disease registries across the UK and Ireland, and how they can support trial design.
Leveraging RWD to inform patient eligibility, site selection, and endpoint development.
Practical considerations for integrating registry data with trial datasets while ensuring data quality and regulatory compliance.
Case studies demonstrating how RWD and registries have accelerated clinical trial insights and improved patient outcomes.

Analysis of Real World (Audit) Data in driving drug discovery
Use of RWD in driving drug discovery in rare diseases
Leveraging therapeutics for rare disease to larger, multiple global applications

Automation bias in practice: Real-world cases show dosing errors occurring when clinicians rely on AI outputs without independent verification.
Human oversight failures: Over-reliance on AI, combined with missed pharmacist checks, can directly compromise patient safety.
Cognitive deskilling risk: Persistent dependence on AI may erode critical thinking, clinical judgement, and professional expertise over time.
Long-term human impact: Growing concern that excessive cognitive offloading to AI could contribute to reduced mental resilience and potential long-term cognitive health risks, highlighting the need for balanced human – AI interaction.