- Understanding how multiple systems increase burden for sites and study teams
- Identifying where technology slows down rather than supports trial delivery
- Simplifying workflows across platforms to improve adoption and efficiency
- Reducing friction without removing valuable data and insights
- Sharing practical examples of what has worked (and what hasn’t)
- Highlighting key challenges and how to overcome them
- Comparing tools in terms of ease of implementation, cost, and impact for smaller teams
- Exploring which solutions are realistically adoptable within limited resources and existing systems
- Identifying where fragmented data slows decision making
- Connecting EDC eCOA and external data sources
- Defining clear roles to avoid duplication and gaps
- Improving data review to reduce manual effort
- Integrating systems without adding complexity
- Sharing practical examples of what has worked (and what hasn’t)
- Highlighting key challenges and how to overcome them
- Comparing tools in terms of ease of implementation, cost, and impact for smaller teams
- Exploring which solutions are realistically adoptable within limited resources and existing systems
- Exploring why protocol amendments, slow enrolment and late feasibility surprises are often failures of execution rather than science
- Applying real-world operational evidence to trial design decisions before problems surface
- Identifying execution risks early to design more predictable, scalable trials
- Including a live demonstration of Aika, Biorce’s AI-driven clinical trials assistant
