Next Generation Site Identification, From Theory to Practice
Article
Dec 01, 2017
Application of Human Data
The novel application of real-world data, statistical analysis, machine learning and predictive modeling has the potential to improve site identification for clinical trials – a process that still relies heavily on key opinion leaders (KOLs), historical experience and assumptions. This AccessPoint article includes use cases that quantify how these resources are accelerating site identification, improving patient enrollment rates and saving operational costs.
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