New Lokavant advanced analytics improve enrollment projections
Using machine learning models and a combination of historical and within-trial data, Lokavant was able to predict key enrollment outcomes earlier in a study’s trajectory and with 95% accuracy. Key outcomes included:
- Reducing error in enrollment timeline predictions to 5% (a greater than 10x improvement)
- Identifying study slowdowns early, and quantifying their impact on the overall enrollment timeline
- Alerting teams when a study is likely to miss its targets, even during the early “burn in period”
Download the full whitepaper to learn more about our methodology and results.