This article is taken from International Clinical Trials May 2021, pages 50-52. © Samedan Ltd.
Advances in big-data analytics are increasingly being employed to extract targeted information with the potential to drive life-sciences research and clinical practice closer to the goal of personalized and precision medicine.
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To properly support and enable DCTs, we must undergo a digital transformation; we must eliminate the pain involved in aggregating and integrating data from multiple sources, reduce the lag between data capture and data analysis, and improve the ability of study teams to gain deeper insights and operationalize the data.
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