AI in eCOA: Separating today’s opportunities from tomorrow’s possibilities

As with all industries, artificial intelligence is generating significant buzz in the clinical research space. But where does it offer meaningful impact today, and where is there still work to be done? In this session, we’ll explore the practical realities of applying AI tools within the context of electronic clinical outcomes assessment data, from operational efficiencies like study setup and translation to the future promise of patient-facing applications. Join us for an honest look at what’s achievable now, what’s emerging, and how to think strategically about this fast-moving future.

Driving success through well-planned study start-up

  • Defining a start-up plan based on key study objectives
  • Using a data driven approach for effective start-up planning, including data from regulatory intelligence, site intelligence, and KPIs to support start-up planning
  • How effective start-up execution drives a successful trial

Reducing trial start-up time through an innovative approach to vendor qualification

  • Exposing the inefficiencies of current vendor qualification practices and challenging the industry to adopt a proven process innovation that will help sponsors onboard vendors more quickly leading to a real reduction in clinical trial start-up times
  • Learn how embracing innovation, and adopting a risk-based data-driven approach to vendor management can help organizations strength their compliance practices in a heavily regulated industry
  • Uncover the advantages of a centralized approach to vendor qualification that provides unique benefits to both sponsors and vendors across the globe

Choosing the right CRO: key considerations for small biotechs

  • Evaluating CRO capabilities and experience relevant to your specific therapeutic area and development stage
  • Balancing cost, quality and timelines within tight budget constraints
  • Negotiating contracts with flexibility to protect your biotech’s goals

PANEL: Choosing an outsourcing model: FSO vs FSP vs inhouse

  • Weighing up pros and cons of different outsourcing models: which is best for your trial?
  • When is mixing and matching better than fully outsourcing or keeping trials fully in house?
  • Developing an outsourcing strategy as a small to medium sized biotech with limited resources
  • Why is FSP becoming a popular choice among sponsor companies and how can this support meeting trial timelines?