The Answer To Your Pharmacovigilance Challenges: AI-Powered Adverse Event Detection

By Anuradha Prabhakar, Associate Director, Product Management, Vigilance Detect, IQVIA; and Sanmugam Aravinthan, Senior Director, Product Management, Vigilance Detect, IQVIA

AI and machine learning (ML) technologies are expanding their reach across the pharmacovigilance (PV) and device safety space thanks to innovative tools that rapidly and accurately detect adverse events (AEs). As the volume of data sources grows, pharma companies are sifting through more data than ever before to identify AEs and extract individual case safety reports (ICSRs) to protect patient safety and ensure compliance. To navigate this, companies are turning to AI-powered solutions to process data more efficiently.

To successfully leverage this innovative technology, pharma companies must select a system that produces reliable results and maintains alignment with the latest regulatory guidelines. As you conduct your search for potential platforms, strive to activate a system that is backed by rigorous AI governance and human-in-the-loop support to improve the accuracy and precision of AE detection. Download the full article to learn more about the features offered by a reliable and robust AI-powered safety system.