Case Study: Improving Go/No-go Decision-Making with Custom Software
Robust go/no-go (GNG) decision-making is essential for effectively managing risk across a clinical portfolio. In early phase development, it is particularly important to have the correct tools in place to terminate ineffective compounds quickly, while accelerating promising ones through the process.
AstraZeneca established a quantitative standard decision-making framework across its Early Clinical Development group. While the system was working successfully, AstraZeneca wanted to further enhance the efficiency of the existing process by reducing the burden for statisticians, who were creating their own code to generate the required decision plots. The team required a software tool that could create standardized outputs to streamline communication, save time, and extend the framework with additional features.
In a close collaborative project, Cytel statisticians and software developers worked with the AstraZeneca team to create a user friendly software interface which could accommodate a Bayesian and Frequentist GNG approach, and produce consistent, high-quality decision plots. Now launched within the company, the tool has positively impacted the way the statisticians and clinical stakeholders work together, and the speed at which decisions can be made.
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