Smarter Signal Management: AI, Big Data, And Predictive Analytics

Safety signal detection and management is facing four main challenges today: reducing false positives to minimize the workload for signal evaluators, reducing false negatives to lessen the exposure of patients to adverse reactions, making sense of signal scores across multiple data sets, and providing better safety information before clinical trials even begin, especially in this time of expedited product development with the global pandemic.

New advances in methodologies and technologies such as artificial intelligence are needed if we are to make significant progress in addressing these challenges.

This eBook outlines three such advances: neural signal detection, multimodal signal detection, and predictive signal detection. These advances have the potential to revolutionize signaling to improve our ability to protect patients and make the safety department even more of a critical asset to its organization.