Exploristics offers a suite of innovative predictive modelling modules for use in the design and implementation of clinical trials. The suite is built using a common analytic platform and has been validated using data from many trials. It will be of benefit to pharmaceutical companies, CROs and others wishing to maximise the output of their trials whilst minimising costs. To date, we have developed and applied modules for optimising Drug Supply and Patient Recruitment during clinical trials.
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Drug Supply Logistics Module
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Large amounts of expensive drug are wasted due to inefficient supply planning. A solution is needed that accounts for the stochastic nature of recruitment, randomization and supply chain logistics.
Key Features
• Computes the amount of supply needed to cover patient demand in a study with a given risk that a site may run out of stock
• Allows for different randomization schemes and treatment allocations, different distributions of local centres in regional depots, different delivery times, etc.
• Utilises multiple models including stochastic processes, patient
recruitment models, randomization processes, and approximations
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