Overcoming Common Challenges Of Clinical Data Review
Clinical data review is an intrinsic component of clinical development aimed at assuring patient safety, determining drug efficacy, and assessing data quality. It involves rigorous analysis of a broad variety of clinical trial data and often necessitates integration of data from multiple sources in order to extract actionable insights. Answering key questions during clinical data review requires being able to rapidly identify and combine relevant data sources - despite the inherent “complexities” of clinical trial data – to provide near realtime reporting. Here, we look at some of the main challenges of clinical data review and discuss effective strategies to address these, before explaining how PerkinElmer’s Clinical Analytics solutions can be deployed to bring urgently needed therapeutics to patients faster.
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