Case Study

Streamlining Audio Data for Adverse Event Detection

Streamlining Audio Data for Adverse Event Detection

Pages 2 Pages

Two global life sciences organizations struggled with manual review of thousands of audio files containing minimal safety-relevant content. IQVIA implemented Vigilance Detect to automate transcription and identify medically relevant terminology using advanced ontologies. The solution enabled reviewers to focus only on flagged segments, dramatically improving efficiency. One organization achieved 95% time savings in bot-to-human review and processed over 130,000 files annually with 99% transcription accuracy. Another reduced review time by 60%, saving tens of thousands of hours. Vigilance Detect delivered faster adverse event detection, improved compliance, and scalable pharmacovigilance operations.

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