IQVIA Vigilance Detect is an AI powered, system agnostic solution designed to identify adverse events, product quality complaints, off label use, and other safety risks across both structured and unstructured data sources. It leverages AI prompts, natural language processing (NLP), semantic search, and custom ontologies to surface potential safety signals earlier and more efficiently.

Vigilance Detect analyzes a wide range of data sources, including social media, call center audio, CRM logs, emails, chatbots, scientific literature, patient support programs, and clinical trial data. It supports multiple data formats, including text, voice, image, and video.

The solution uses GenAI, NLP, and semantic search to identify potential safety events across data sources. Identified signals are routed to the PV Command Center, where they are reviewed by subject matter experts, validated, MedDRA coded, and, once confirmed, forwarded to the safety system.

Traditional pharmacovigilance tools primarily focus on structured case intake and regulatory reporting. Vigilance Detect complements these systems by enabling upstream processing of unstructured and non traditional data sources—such as social media and audio—allowing for faster, more accurate detection while reducing manual effort in downstream case processing.

Yes. Vigilance Detect supports more than 50 languages and incorporates extensive, safety specific pattern libraries, enabling consistent and scalable signal detection across global markets.

Vigilance Detect is system agnostic and integrates seamlessly with safety databases, CRMs, and existing vendor ecosystems. Depending on the customer’s downstream systems, outputs and data transfer methods include APIs, XML, JSON, email, PDF, and Excel. The solution supports standardized workflows, E2B exports, and compliance with HIPAA, GDPR, and GxP requirements.