From Protocol Draft to Confident Feasibility: Democratizing Study Design with AI

Clinical feasibility is evolving. Instead of validating assumptions after a protocol is written, leading teams are embedding feasibility earlier—using real-world data and AI to iteratively pressure-test eligibility criteria, optimize study design, and build more recruitable protocols. In this session, TriNetX and Parexel share a modern feasibility workflow designed for clinical operations teams, including non-medical users empowered through natural language and AI translation. | In this session, TriNetX and Parexel share a modern feasibility workflow designed for clinical operations teams, including non-medical users empowered through natural language and AI translation.

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