The Next Frontier Of Drug Safety Innovation: AI-Supported Signal Management

By Stephanie Senn, Product Manager, Vigilance Signal, IQVIA

In pharma, safety signal management is the process of detecting and reviewing adverse events alongside pharmacologic, clinical, and epidemiologic data to evaluate risk for medicinal products. Though companies have traditionally used quantitative and qualitative manual methods to detect potential signals, the rapid growth of data volume, source complexity, and technological advancements has led industry stakeholders to explore leveraging AI to strengthen signal detection and analysis.

AI can enable faster identification of patterns across treatment categories and patient populations, providing the ability to autonomously adapt to new data, prioritize tasks, and proactively identify emerging risks. To effectively activate this technology into your signal management workflows, consider working with a partner that offers longstanding experience with signal management software and a robust approach to AI governance. Download the full article to learn more about this new era of AI-enabled signal management.