Expecting the Unexpected: Using Risk-Based Optimization for Clinical Supply Forecasting

There are many challenges in clinical supply planning, from set-up to trial launch. During trial set-up, the supply strategy needs to align with trial design and internal constraints. Before the trial commences, we must figure out what overage to use, where to ship to and when and how to set up interactive response technologies (IRT). While the trial is ongoing, one must adapt clinical supply planning to real-time events such as  country list changes, recruitment forecast updates, protocol amendments, batch losses, delays, drug unavailability and more. Without properly managing these steps, there can be high levels of drug waste or high risk to patients.

However, given the number of stakeholders involved, it is not always easy to have everyone agree on the best course of action in the face of unexpected events impacting clinical supply. 

By using risk-based optimization, you can prepare for unpredictable changes and quickly adapt your clinical supply planning accordingly. Learn how trial history and real-time data help you test decisions that impact clinical supply planning and facilitate fact-based decision-making and efficient interdepartmental communication.

This webinar provides steps you can take with risk-based optimization to future-proof your clinical supply planning. You will learn:

• How to anticipate the unpredictable and proactively plan for the unforeseen
• How to align all stakeholders and improve end-to-end communication
• How to manage risks in your ongoing trial using real-time IRT data and machine learning techniques
• How to keep traceability on clinical assumptions and learn from past data for improved decision-making

Speakers

Amaury Jeandrain, Head of Solutions Adoption, Life Sciences, N-SIDE

Amaury Jeandrain has a Master’s Degree in Business Engineering with a specialization in supply chain management. After working for a CRO, he joined N-SIDE where he supported the optimization of hundreds of trials from different indications and pharmaceutical companies, providing services ranging from risk-based optimization to clinical trial design and solving drug supply shortage problems. Amaury now leads a group of consultants, focusing on the extension of N-SIDE’s solutions.

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Sebastien Coppe, Head of Consulting, Life Sciences, N-SIDE

Sebastien Coppe has a Master’s Degree in Engineering in Applied Mathematics. He obtained his PhD by creating a pre-diagnostic tool for patients suffering from Alzheimer’s disease and other kinds of dementia, by designing mathematical models of the patients’ brain behavior.

At N-SIDE, he has led the Consulting Group for multiple years, providing services to more than 30 pharmaceutical companies in order to optimize their clinical trial designs and supplies thanks to forecasting and risk-based optimization solutions.

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