CLINICAL SUPPLY MANAGEMENT ARTICLES
How New Models Could Improve Trial Enrollment Forecasts
New statistical and machine learning models could make clinical trial enrollment forecasts more adaptive, helping teams account for uncertainty and changing site performance.
CLINICAL SUPPLY MANAGEMENT RESOURCES
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Consider how integrated response technologies and electronic clinical outcomes assessments can improve configurability, study start-up, and flexible mid-study changes.
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Historically managed through late-stage adjustments, operational adaptability has become a strategic imperative to prevent programs from stalling under real-world pressures.
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From balancing treatment ratios and managing eligibility to accommodating site-specific readiness and protocol amendments, a well-designed IRT system enables seamless transitions.
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Streamlined supply chain operations alleviate staff workload and significantly reduce IP waste. With the right partners, you can create a fully optimized, cost-effective supply chain strategy.
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As early phase clinical trials become more sophisticated, sponsors are now leveraging flexible IRT solutions to replace error-prone manual processes and gain greater control and efficiency.
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This white paper represents a compilation of industry best practices for designing, implementing and leveraging randomization and trial supply management (RTSM) software in clinical trials.
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Reliable clinical supply requires proper vendor selection, cross-functional communication, and safety nets built to accommodate an ever-changing geopolitical and global pharmaceutical landscape. To avoid supply disruptions for clinical drugs, sponsors must give clinical supply its proper weight in initial protocol development and trial design.