EOM 1352: Fri 7 June 2024, 11:36

Current Edition

Discovery Park: Wed 13 November 2024, 10:35
ramusmedical

Forecasting and Kit Design in Clinical Trials for the Pharmaceutical and Biopharmaceutical Industry

Clinical trials are the cornerstone of drug development, providing the critical data needed to evaluate the safety and efficacy of new therapeutic agents. The success of these trials depends not only on meticulous planning, and accurate forecasting, but also considering the many factors of kit design. These elements are not just logistical concerns; they are strategic imperatives that can significantly influence the timeline, cost, and overall execution of a clinical trial.

Upstream Planning Activities that Define the Strategy Accurately

predicting the demand for clinical supplies begins with a comprehensive understanding of the upstream planning activities that shape the overall strategy for a clinical trial. These activities include considerations related to risk tolerance, cost pressure, and time pressure – each of which plays a critical role in the decision-making process.

Different stakeholders within a clinical trial, such as clinical operations teams and supply chain managers, often have varying perspectives on material demand. For example, if there is a delay in opening a country for enrollment, the clinical operations team may prioritise kit availability to start new sites in an existing country or open a new country to increase enrollment. On the other hand, the supply chain team may focus on adjusting to enrollment rates that differ from initial predictions to ensure that supplies are available on time, avoiding study disruptions. Risk tolerance varies among these job functions and often these teams will not be aligned. Balancing these differing priorities requires open and honest communication among all stakeholders.

In the pharmaceutical industry, every decision has a cost implication. The clinical supply team must balance the cost implications of various scenarios, such as accelerating or delaying the start of a country’s trial phase against the need to procure additional drugs outside the planned budget. For example, if patient recruitment is slower than expected it may be necessary to delay the procurement of supplies to avoid overproduction and wastage. Conversely, if recruitment is ahead of schedule, additional supplies may need to be procured quickly, potentially at a higher cost.

Time pressure is another critical factor that influences decision-making in clinical trials. The clinical operations team is driven by the need to meet study timelines, where the supply chain team must ensure kit availability. Effective forecasting helps to manage these time pressures by ensuring that supplies are produced and distributed according to the trial’s demand and timeline. Once each team has independently assessed these factors within their areas of expertise, they must come together to align on a strategy that addresses their collective priorities and constraints. This collaborative approach helps to ensure that the forecasting process is comprehensive and that all potential risks and challenges are considered.

Catalyst: Fri 8 November 2024, 14:16
Biosynth: Wed 13 November 2024, 10:18