Automating the Identification of Adverse Events with IQVIA Vigilance Detect

5 Pages

Explains how Vigilance Detect combines AI and pharmacovigilance expertise to detect adverse events across unstructured data sources. Case examples include an EMA audit where 5,939 AEs were uncovered in 1.5M records, pregnancy cases flagged with 100% accuracy, and ongoing monitoring of 2.6M records annually across 38 countries in 91 languages. It also supported CRM and chatbot data, identifying safety issues with high accuracy. The tool helped companies meet strict regulatory deadlines, cut manual review by 95%, and improve compliance at scale.

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Infographic IQVIA Vigilance Detect: Transform your adverse event detection –…

Vendor Sheet IQVIA Vigilance Signal

Infographic IQVIA Vigilance Detect Self-Managed Solution

Case Study Getting Adverse Events Digitization to Over 98% Accuracy

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Infographic IQVIA Vigilance Detect: Transform your adverse event detection –…

Vendor Sheet IQVIA Vigilance Signal

Infographic IQVIA Vigilance Detect Self-Managed Solution

Vendor Sheet IQVIA DEA Compliance Solutions

Case Study

Automating the Identification of Adverse Events with IQVIA Vigilance Detect

Automating the Identification of Adverse Events with IQVIA Vigilance Detect

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