Clinical trial medical adverse event data review is a complex process that requires extensive experience and expertise. It involves the systematic collection, assessment, and analysis of adverse event (AE) information reported during clinical trials, as well as the integration of safety data from other sources such as post-marketing surveillance and epidemiological studies. The goal of AE data review is to identify potential safety signals that could indicate the need for regulatory action or changes in clinical trial protocols. The review process includes the collection of data from multiple sources and the evaluation of each report for accuracy, completeness, and consistency. AE data are then compared to the drug’s safety profile and to other drugs in the same therapeutic class. Statistical tests may also be used to identify relationships between the drug and the reported AEs. A thorough analysis of the data can help identify and quantify the risks associated with the drug, as well as provide insight into the drug’s efficacy. The review of AE data is an important step in the drug development process, and is essential for ensuring the safety and efficacy of drugs entering the market. As such, it is important to have experienced personnel with a deep understanding of both clinical trial and regulatory requirements to conduct the review.