A product's shelf life is a central part of every clinical trial. In some situations, shelf lives can become a problem for clinical supply chain managers, especially when the are short. One of our recent partners was about to start a trial with a drug that would only have 12 months of self life and they were struggling to asses the impact of this short expiry date on their planning decisions.
With the help of N-SIDE's solutions, our client analyzed multiple strategies that would make the clinical supply chain more efficient despite this short self life while keeping the drug waste under control. Overall, the overage of the trial fell below 80%, saving more than $6.7M in unnecessary manufacturing, packaging, labeling, and shipments.
Read the case study now to see how this was feasible and understand how the supply chain team was able to influence decisions outside of their scope thanks to data-driven decisions.
N-SIDE and AstraZeneca worked together to reduce the waste and cost of this trial while still keeping the patients and their safety at the center of their concerns.
Read the case study to learn what they discovered and see the results they managed to reach. Overall, not only did they manage to reduce both the cost and drug waste levels of this study but some changes helped decrease the risk of missed dispensing for the patients as well.
download nowIn this webinar, replay, discover through case studies how to navigate KPIs and trends that will strongly impact the future of clinical supply chain. You will see how sustainability, ethics, waste reduction, and faster timelines enable each other.
Watch now to discover what changes can be conducted in biopharma organisations to anticipate these changes
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Clinical trial forecasting and planning activities are extremely challenging. This is partly because the rising complexity and frequent changes in protocols lead to a high level of uncertainty in the trials.
Clinical trial supply solutions can simulate the complexities and uncertainties of protocols. They generate accurate demand forecasts and robust supply chain strategies, minimizing waste while ensuring no stockouts
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