Design next-gen clinical trials with data and AI

Today’s clinical trial teams face more barriers than ever before. From burdensome documentation to manual processes to increased regulatory hurdles, modern trials are more complex and less efficient. This complexity affects trial design, leads to suboptimal study operations at sites, and makes enrolling, engaging, and retaining the right patients difficult and expensive.

Until recently, the industry has tried to address these inefficiencies through the digitization of existing clinical processes. The hope was that this would reduce documentation and create a more orderly system. However, digitization alone has not been enough. Effecting truly meaningful change in the clinical trial process requires more than just moving from paper and spreadsheets to digital systems. It requires that the industry consider transforming the key processes themselves, namely trial design, site selection, and recruitment and retention efforts.