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Artificial intelligence (AI) is taking every industry by storm, including clinical research. In an industry where time is money, and medical advancements are on the line, a means to increase accuracy and efficiency is the hot topic of the moment. Can we use AI to streamline data management review? Can we apply AI technology to more efficiently author study documents? Can AI tools in the database help lessen the burden on sites and patients?
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Building a robust and efficient electronic data capture system (EDC) for today’s complex clinical trials is a major undertaking. The elements of the EDC must be carefully planned, the programming must be succinct, and the risks to data integrity must be considered. Clearly, these crucial requirements demand careful thought and can be time-consuming. An option for the timely initiation of a trial may be to split the release (a.k.a., the “go-live”) of EDC elements in a controlled and considered manner. PROMETRIKA’s Data Management team has extensive experience with planning and executing successful split-release EDCs.
THOUGHT LEADERSHIP
