Use Case: Multi-Country Recruitment Feasibility

Challenge

Recruitment is the single biggest reason trials fail, and global trial design only adds complexity. Multi-country studies may increase patient diversity and scale, but they also bring regulatory hurdles, logistical delays, and inconsistent enrolment rates. Sponsors, investors, and CROs often lack the tools to evaluate whether a trial’s site footprint matches its recruitment ambitions.

Solution with this dataset

The Clinical Trial Success Probability Dataset includes detailed recruitment feasibility signals, such as site counts, country distribution, US presence, and enrolment per site. These features translate trial design into measurable risk factors, allowing stakeholders to see whether a study is overextended, underpowered, or balanced for success.

Example Insight

Some trials with dozens of global sites still fail to meet enrolment, while others with just a handful of centres succeed because their design is more focused and realistic. The dataset allows users to flag trials with unusually high per-site enrolment targets, thin country spreads, or operational risks tied to global complexity.

Impact

• Pharma & CROs – Benchmark recruitment feasibility during protocol design and flag potential red flags before costly delays.

• Investors & Analysts – Adjust valuations for programs with overly complex or risky site distributions.

• Insurers & Risk Managers – Monitor portfolios where recruitment execution risk is elevated by multinational trial structures.

Graph 2 – Recruitment Feasibility

Illustrative example: Recruitment risk varies by site count and trial geography. Multi-country studies often carry greater execution complexity.