AI-driven adverse events monitoring

To ensure patient safety and mitigate the risks associated with adverse events (AEs), life sciences companies are proactively monitoring and assessing the benefit-risk profile of a medicinal product early in the product’s life cycle. Modern advanced analytics techniques are raising the bar even further. By examining large and varied data sets containing safety information, companies can uncover hidden patterns, trends, and patient preferences and gain insights to comply with AEs reporting requirements and also predict and prevent them. Through AI-enabled analytics, companies are transitioning from mere reporting and monitoring (what happened and what is happening now) to evaluation, prediction, and prescription (why did it happen, what will happen next, what to do to prevent it).

Leverage our expertise in the regulatory submission process, AE reconciliation, and enhanced safety monitoring and corrective actions to increase the success rate of your clinical trials!