Intelligent Trial Planning (ITP)
Patient Recruitment delays are increasing clinical trial length within many Therapeutic Areas. This also means increases to R&D cost and decreases to product revenue.
Knowledgent’s Intelligent Trial Planning (ITP) platform enables clinical researchers to understand the timeline impact of Inclusion/Exclusion criteria, Countries, and Sites selected before and during a trial. ITP uses Artificial Intelligence (Machine Learning & Deep Learning models) to forecast study enrollment and provide decision support through a highly accurate and automated process.
Knowledgent Chief Data Scientist, Ari Yacobi, explains the clinical challenges and how to create more intelligent trials.
ITP consists of 3 modules that cover the period prior to protocol approval, the initiation of site selection, and active recruitment:
Protocol Feasibility Module
Predict Trial Rate of Recruitment (RoR)
Calculate the number of necessary Sites
Scenario Plan in real-time
Country & Site Selection Module
Optimize Countries selected based on disease prevalence and additional enrollment factors
Predict Site Performance based on historical recruitment and additional enrollment factors
Track progress of patient recruitment
Re-calibrate recruitment plan (Countries and Sites) based on actual recruitment data