Integrate Your Data To Get The Full Picture

To accelerate time to first patient in and help clinical teams reduce the chance of investing in under- or non-enrolling sites, Citeline created Citeline Predict: Study Feasibility.

Study Feasibility is a predictive analytic solution that combines Informa's expertly curated, indexed, and enriched clinical data sets with machine learning (ML) algorithms to predict, model, and optimize site allocation, site scoring, and enrollment duration at the trial, country, and site levels.

The highly intelligent ML engine in Study Feasibility also predicts an overall probability of enrollment success for each trial. These predictions guide and support decisions around which countries to enter for a clinical trial, how many sites are required, and which sites are most recommended based on a given study protocol.

To learn more about Citeline, visit their Clinical Leader page.