Medication safety and dosing
MedAware
Medication safety monitoring platform that uses machine learning and outlier detection to flag patient- and provider-specific medication risks.
Last updated: June 5, 2026
Back to directoryIQVIA Vigilance Detect medical AI product profile
AI-driven pharmacovigilance intake product for detecting and extracting drug safety events from multiple unstructured channels.
Medication safety and dosing
Best fit
Drug safety organizations with high-volume, multi-channel adverse-event intake that need automation while retaining qualified PV review.
- Primary use case
- GenAI-powered pharmacovigilance event detection and extraction from emails, audio, documents, chats, and other safety intake sources
- Audience
- Pharmacovigilance operations, case intake teams, safety service organizations, pharma safety leaders, and life-sciences compliance teams
- Risk level
- Medium to high
- Pricing signal
- IQVIA enterprise platform and safety-services pricing; request current Vigilance Detect, Vigilance Platform, validation, and operating model terms.
- Official sources
- 3 official sources
Compare within workflow: Medication safety and dosing · comparison shortlist · source index
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating IQVIA Vigilance Detect as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat as safety intake and PV operations infrastructure; confirm validation, SOP alignment, inspection support, and regional reporting obligations before using automation in production. |
|---|---|
| Privacy | Review call recordings, emails, documents, chats, patient and reporter identifiers, product complaint data, translations, service access, hosting, retention, and cross-border transfer controls. |
| Evidence | Measure extraction sensitivity, field-level accuracy, missed adverse events, seriousness classification, language performance, duplicate handling, follow-up burden, and reviewer acceptance locally. |
| Workflow | Best governed as intake acceleration with source-linked review queues, low-confidence escalation, quality sampling, medical review boundaries, and documented overrides. |
Where IQVIA Vigilance Detect fits
IQVIA describes Vigilance Detect as a GenAI-powered, AI-driven pharmacovigilance platform for automatically detecting and extracting drug safety events from emails, audio, documents, and chats; IQVIA's broader safety materials describe AI, ML, NLP, connected intelligence, vigilance platform, and pharmacovigilance services.
Not for: Replacing safety specialists, bypassing medical review, or relying on extracted events without validated SOPs, quality sampling, and missed-case monitoring.
What to verify before using IQVIA Vigilance Detect
- Which channels are enabled, including email, audio, documents, chat, call-center records, literature, intake forms, and partner feeds.
- How GenAI, NLP, translation, event extraction, seriousness recognition, duplicate detection, and routing perform on local products and languages.
- Validation controls, quality sampling, audit logs, role access, SOP fit, source traceability, retention, and regulatory inspection readiness.
- How teams review low-confidence extracts, missing fields, false positives, false negatives, follow-up requests, and escalation to medical review.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- www.iqvia.com / library / fact-sheets
- www.iqvia.com / solutions / safety-regulatory-compliance
- www.iqvia.com / AI
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