Study Feasibility

Medidata Study Feasibility is an AI-powered clinical trial analytics solution designed for clinical operations teams, sponsors, and research organizations seeking to improve the accuracy and confidence of their feasibility decisions. By combining AI-driven forecasting, Diversity Analytics, and Performance Analytics in a single unified platform, it addresses operational risk from the earliest stages of study design through active enrollment and beyond.

The solution is built for teams expected to deliver faster enrollment, stronger diversity representation, and predictable timelines — without increasing complexity or cost. Rather than relying on incomplete data and static forecasts, Medidata Study Feasibility provides evidence-based insights that enable teams to model timelines, optimize site selection, set diversity goals, and continuously benchmark live performance against industry trends.

Core Capabilities

• AI-Powered Forecasting: Uses AI-driven modeling derived from actual site-level enrollment and congestion data — not surveys — to generate accurate, actionable forecasts for trial timelines and site performance.
• Protocol Optimization: Simulates trial performance before First Patient In (FPI) to assess patient burden, site performance, and trial cost early, helping reduce protocol amendments, prevent enrollment delays, and improve overall trial efficiency.
• Site Selection Optimization: Provides granular operational performance metrics — including enrollments, screen failures, and data quality — to identify high-performing sites statistically more likely to meet specific timeline goals.
• Diversity Analytics: Enables identification of sites with a proven track record of recruiting diverse patient populations using indication-specific, cross-industry patient demographic data, supporting regulatory Diversity Action Plans and inclusivity targets.
• Live Study Forecasting: Tracks active studies against industry benchmarks in real time, allowing clinical operations teams to detect enrollment slowdowns or risks early and make immediate course corrections to keep timelines on track.
• Performance Analytics: Delivers site-level operational performance metrics and real-time insights to continuously benchmark study execution against industry standards.

Data Foundation

• Powered by the industry's largest proprietary dataset, comprising data from over 38,000 trials and 12 million patients across more than 140 countries.
• Data is refreshed weekly from over 8,000 active studies, ensuring feasibility assessments and benchmarks reflect current, real-time industry performance rather than outdated historical records.
• Standardized, cross-industry clinical trial data provides a consistent and reliable foundation for all forecasting and analytics.

Key Outcomes Supported

• Optimized Protocols: Design operationally feasible studies by simulating performance and identifying risks before the trial begins.
• Site Strategy: Build a data-driven site selection strategy grounded in real operational performance metrics rather than self-reported survey data.
• Trial Diversity: Set evidence-based diversity enrollment goals and prioritize sites with demonstrated success in recruiting diverse populations.
• Enrollment Forecasting: Generate reliable enrollment projections and adapt dynamically as live study data becomes available.

Support and Training

• Medidata provides turnkey white glove support to help teams get maximum value from the platform.
• A range of training options is available for clients and partners, including both self-paced and instructor-led courses through the Medidata Global Education and Training program.

Medidata Study Feasibility is part of the broader Medidata Platform, which also encompasses Patient Experience and Data Experience solutions. It is purpose-built for life sciences organizations that need to move from static, survey-based feasibility approaches to a continuously updated, AI-driven model that supports smarter decisions at every stage of the clinical trial lifecycle.