How Technology Is Changing Trial Design, Start-Up And Close-Out

The constant data stream from patients’ mobile devices and sensors generate large datasets that are difficult to analyze manually—just one motion sensor gathering data from a few dozen patients creates nearly one billion data points per day (ICON). To understand these large datasets, AI and machine learning are necessary to automate analyses. Incorporating this technology can lead to faster and more transparent access to data. In addition, it can help sponsors collect the right data to support submission and filing for regulatory review, and, in the end, speed a product’s path to approval and reduce time to market. In this Clinical Informatics News article, featuring commentary from ICON expert Marie McCarthy, leveraging technology to accelerate study close-out is further discussed.

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