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

Enrollment Reforecasting

  • Track progress of patient recruitment

  • Re-calibrate recruitment plan (Countries and Sites) based on actual recruitment data

Learn how ITP can help you understand the timeline impact of Inclusion/Exclusion criteria, Countries, and Sites selected in your clinical trials.

Contact us by clicking here.

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