Anyone involved in clinical research today understands that clinical trial recruitment is expensive, making up to one-third of the total cost of trial costs. Clinical recruitment is also slow, expensive and inefficient. With 86% suffering delays (11 months on average), and 50% of trial sites failing, in any other industry this would be unacceptable. AI is a game-changer when evaluating clinical trial feasibility. In this webinar we’ll provide case study examples illustrating how applying AI to medical records can pinpoint eligible patients for clinical trials in minutes not months, and explore the effectiveness of analytics versus AI. We will also walk through best practices for combining different techniques to drastically speed up subject identification and augment patient recruitment.
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