- AI site selection predicts enrollment and start-up time for each candidate site before you commit to it.
- H2O Driverless AI builds the models from your own trial history and returns reason codes for every prediction.
- Text models can read monitor and partner comments on past sites, so written feedback counts alongside the numbers.
- Your study team makes the final site decision. H2O makes no claim of GxP or FDA validation.
Stop losing months to the wrong sites
Drug development is long, and most candidates never reach the market. Every month a trial loses to slow enrollment adds to that timeline, and the cost compounds with each delay.
Sites that promised patients and did not deliver push your last patient in later, and every rescue site adds start-up work.
Feasibility often rests on questionnaires and relationships. Your own history of which sites enrolled, how fast they started and what monitors wrote about them is rarely joined into one view, so the same slow sites can resurface on your next protocol without anyone noticing the pattern.
How site selection works
H2O can be used to build predictive models on your trial history, so the pattern shows up before you commit a study to a site.
Step 1: join the history
Combine past enrollment by site, start-up cycle times, protocol features, feasibility responses and patient population data your privacy team has approved.
Step 2: frame the predictions
Regression models predict enrollment and start-up time per site, and a classification model flags sites at risk of missing their target.
Step 3: read the comments
Natural language processing scores monitor and partner comments on past sites as positive or negative, adding them to the model.
Step 4: build and explain
H2O Driverless AI searches models, and Shapley values show what drove each site's prediction.
Step 5: decide and track
Your study team builds the site list, then compares actual enrollment against the prediction as the study runs.
The decision and the validation stay with you
A site prediction is decision support. Your clinical operations team chooses the sites, your quality processes record why, and H2O makes no claim of GxP, 21 CFR Part 11 or FDA validation: the platform supports validated workflows, but the validation is yours.