Pressure-Test Your Protocol: Leveraging AI-Powered Predictions to Optimise Enrollment & Retention

About this session

Sponsored by Medidata a Dassault Systemes Co. With up to 80% of clinical trials facing enrollment delays and 76% requiring costly mid-study amendments, clinical teams can no longer afford to rely solely on subjective assumptions or historical precedent when designing protocols. It is critical for Clinical Operations teams to leverage cross-industry benchmarking data and AI models to pressure test protocols viability. In this session, we will demonstrate how to move towards a more collaborative and objective, data-driven protocol optimisation strategy. See how our proprietary AI model–trained on the industry’s most robust clinical trial dataset–can predict enrollment and dropout rates based on the type and frequency of procedures included in the SoA. Additionally we will showcase how digitizing protocols into a standardized USDM format unlocks AI-powered insights that enable teams to optimize operational feasibility without compromising scientific rigor.

Speaker

• RB

  Robert Buka

  Product Director, AI Intelligent Trials · Medidata a Dassault Systemes Co.

  Speaker