Bioclinica's Trial Supply Optimization is the industry's only purpose-built supply forecasting and management software that lets you quickly and easily create and compare supply scenarios against trial objectives, such as schedule, cost and feasibility. This determines your optimum supply strategy – reducing drug waste and study costs by millions of dollars. And the Trial Supply Optimization integrates with Bioclinica's Agile IRT software so you can identify and adjust enrollment rates and supply needs based on trial actuals, helping you get to database lock faster, with significantly lower cost and effort, and with higher-quality data.

Clinical Supply Chain Forecasting, Simulation and Optimization

Trial Supply Optimization is Bioclinica's powerful forecasting and demand planning technology used by the world's largest pharmaceutical companies to manage global logistics of the clinical supply chain. Managing supplies based on demand creates opportunities for savings and efficiencies in numerous areas, eliminating the high cost of waste as well as shortages that threaten timelines, budgets and even study integrity.

Today's trials involve more patients, more sites, more countries and more uncertainty than ever before. The number and complexity of issues affecting supply chains has also grown to include costly comparator drugs, intricate protocols, delicate investigative compounds, adaptive clinical trials, and variable dosing schemes. Added to the mix are increased regulation and country-specific approvals surrounding temperature-controlled drugs, packaging, shipping, and labeling.

Challenging study variables and supply chain factors like these are difficult to manually manage and impossible to forecast using spreadsheets. And when the unexpected happens, whether underestimated country enrollment or an enrollment spike for instance, it can take significant human intervention and monetary resources to correct in time.

Simulate Real-World Demand Scenarios

Simulation enables planners to identify and mitigate potential supply crises at a global and site level before they happen. When live study data is imported, it allows for stock adjustments to be made, reducing the occurrence of mismatched clinical supplies and demand. It also eliminates associated costs of shipping overruns and subjects lost due to stock outs.

Trial Supply Optimization maximizes study efficiency and minimizes costs, even for studies involving supplies with special dosing or handling requirements, such as complicated titration, multi-variable dosing, comparators, temperature-sensitive drugs, limited supply situations, and other variables. Effectively managing this level of complexity can avert crises that lead to delayed studies and subject loss.

Trial Supply Optimization models unpredictable demand over time and uses this information to calculate drug quantity and when and where to ship it. Once maximum demand over time is known, minimum stock levels can be adjusted with confidence. Users are able to define floor (product amount needed to cover unpredictable site events) and ceiling (maximum product amount to be sent to a site) resupply settings.

Trial Supply Optimization Enterprise Suite

As planning needs vary dependent on protocol complexity, whether at the single study or in-depth program level, Bioclinica now offers the most advanced clinical supply simulation tools in both a web and a desktop solution to fit any organization's need.

Simply log into the web application to view and interact with models and forecasts. Toggle between data views to see program and protocol level forecasts spanning different timeframes.