Data management


Augmented with


AI


The process of organising and running a clinical trial comes with several challenges, and a significant portion of the cost can be attributed to the operational conduct of the trial. This includes things like patient recruitment, site monitoring, data management and site oversight. There are digital tools to assist with these processes, but many in the industry are touting the benefits of AI to help trials to run smoother. Monica Karpinski speaks to Stefan Harrer, chief innovation officer at Digital Health Cooperative Research Centre and Aldo Faisal, professor of AI and neuroscience at Imperial College London, to delve into the details on the application of AI to optimise clinical trials.


F 40


rom preclinical development through to phase 3, it costs an estimated $800m–1.4bn to run a clinical trial. If it fails, which 90% of trials do, all of that is a sunk cost. A sizable chunk of that money goes on operations, including patient recruitment and retention, and trial monitoring.


According to a 2020 report by Deloitte, recruitment is the main cost driver for trials, accounting for 32% of overall spend. These processes are often time intensive and subject to human error – and their inefficacies can be the difference between a trial succeeding or failing.


Clinical Trials Insight / www.worldpharmaceuticals.net


XXX/Shutterstock.com


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