IN PARTNERSHIP
forecasting tool to efficiently manage their portfolio and wanted to benefit from our unique drug supply algorithm. We managed to integrate a lot of functionalities into our system, but most importantly, the forecasting and the supply management use the same algorithm – and simply put – speak the same language.”
Is real time good enough? ClinVision is much beyond an RTSM with its focus on preparation and optimising supply. “The whole idea was based on prevention” says Seredina. “Real time is too late. Real time means you have faced your problems, they’re in front of you. Instead, you need to be able to prevent problems and issues. This is why ClinVision as a solution is so radical in the way it works for a sponsor.” The tool can be used from the very first concept,
before any protocol has even been drafted, and at every stage thereafter. “Right from the start, ClinVision can help make a rough estimate of supplies needed and prepare the production pre-order,” explains Seredina. “Then, going further, information can be entered into the system on a continuous basis, and the potential costs and risks can be analysed. You can really start figuring out your way and preparing for the next steps. “It will start with a limited number of
assumptions, but needs to be comprehensive enough to allow for the complexity and changes going forward.” This is particularly relevant because, from
protocols to recruitment, the parameters of clinical studies are constantly changing and study teams/ supply planners face a lot of uncertainty.
AI or not AI?
With AI being the new buzzword, one sees a plethora of information around the promise AI can bring into making supply management and forecasting more accurate. But, what does that mean for the customer, in reality? Seredina quotes an extract from a research
paper**: “AI is essentially the embodiment of
mathematics, probability theory, statistics, and various mathematical theories.” As a company built on the cornerstone of
science, bio-statistics and advanced mathematics, S-Clinica pioneered and introduced the predictive probabilistic adjusted real time supply management algorithm. Says Seredina, “We have been tweaking and fine tuning our supply
18 | Clinical Trial Supply Handbook
management/forecasting algorithm over the last 20 years, making it the most comprehensive and remains the secret sauce in ClinVision.” The S-Clinica supply management algorithm is
proven and has been used over 1200+ and growing clinical studies, across all phases and TAs, making it dependable, and covering uncertainties encountered in real life clinical trial scenarios.
Two sides of the same coin: IRT and supply forecasting Crucially, the system is user-friendly and designed with its customers in mind. “Clinical trials operate under continuous pressure from constraints, such as time-to-market and the cost of drug development,” Jasvinder Osan, VP of Business Strategy at S-Clinica says. “[And] the pressure keeps increasing.” “ClinVision improves communication between
different departments,” he continues. “For example, operations and supply chain management teams can both access the system and update their respective pieces of information. In collaboration, they can investigate different scenarios and identify the most suitable way to proceed.” Every parameter entered into the forecasting tool
is used to generate the interactive response technology (IRT) system, which helps to increase efficiency and reduce the lead time to launch a study. “It’s a great advantage to have both the IRT and forecasting combined into one single system,” adds Seredina. “If you use different systems for each, you lose a lot of time as you have to explain the study to both teams, and then set up the study in two separate systems.” Jasvinder believes there is an exciting
opportunity to make the software available to a significantly wider range of mid-size and smaller biotechs. “At the moment, forecasting tools are very costly,” he explains. “By integrating the forecasting and IRT systems, we are able to provide a cost-effective solution for smaller and midsize companies that, at the moment, are still trying to do their job with Microsoft Excel spreadsheets because they think they cannot afford the technology.”
*McKinsey&Co. Clinical supply chains: How to boost excellence and innovation
mckinsey.com/industries/life-sciences/our-insights/ clinical-supply-chains-how-to-boost-excellence-and-innovation
**An introduction to mathematical algorithms and Artificial Intelligence
researchgate.net/publication/382209984_An_introduction_to_ mathematical_algorithms_and_Artificial_Intelligence
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