IQVIA’s Evidence-Driven Study Design integrates data sources, analytics, and regulatory expertise early in protocol development to optimize design and reduce risks. By leveraging patient insights, real-world data, AI simulations, and competitive intelligence, it helps sponsors refine endpoints, eligibility criteria, and study strategies. The approach supports eight key decision areas, including patient perspective, treatment patterns, design consistency, and regulatory considerations. Applying analytics early reduces rework, cost, and deviations while improving trial success probability. Tailored solutions and simulations enable data-informed decisions even in rare diseases, driving more efficient and patient-friendly trials.

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