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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While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.
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Investing in employee training and development is not just beneficial for the employees. It also contributes significantly to the organization’s success and competitive advantage.
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During clinical trials, the intricacies of financial management intensify, necessitating advanced ERP functionalities to handle clinical accruals, compliance, and reporting.
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Gain insight into the changing comparator sourcing landscape, focusing specifically on the instrumental role the Bolar exemption plays in the shift away from dependence on innovators for clinical supplies.
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Explore how scenario planning enables you to find the best strategy while balancing risks and costs and gives you the ability to arm your internal stakeholders with impact assessment data based on plausible scenarios.
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As technology continues to evolve, learn how IRT systems can no longer be implemented into the fabric of the organization, but rather need to ebb and flow with the needs of clinical trials.
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Patient enrollment can vary widely due to a number of variables, introducing risk into the supply chain. Here's why its critical to be aware of these risks and how best to mitigate them within trials.