Clinical Data Review & Analysis: Everything you need to know
Clinical data review is the continuous process of evaluating clinical trial data for accuracy, completeness, consistency, and clinical relevance as it is collected, ensuring data quality and early identification of issues. Clinical data analysis builds on this validated data by applying analytical and statistical methods to uncover patterns, trends, and insights that inform clinical development, operational decisions, and regulatory outcomes across the trial lifecycle. Clinical trials today generate unprecedented volumes of data, far beyond what traditional review and analysis models were designed to handle. This expansion has fundamentally changed how clinical data review and clinical data analysis must be approached.