Pharmaceutical patient support programs generate vast volumes of unstructured interactions—from emails and documents to calls, chat, and AI‑enabled conversations. Embedded within this content are potential adverse events and product quality complaints that must be identified, assessed, and reported within strict regulatory timelines.

IQVIA Vigilance Detect + Extract addresses this challenge with a connected, end‑to‑end approach to safety intake. Using a layered AI methodology that combines natural language processing, fit‑for‑purpose machine learning, and generative AI, Detect continuously scans structured and unstructured patient support interactions to identify potential safety events with high accuracy.

With Extract, medically relevant details—Patient, Reporter, Event, and Product—are automatically captured and structured for downstream safety systems, including ICH E2B (R2 and R3) formats. Built‑in triage and human quality control support consistent, compliant routing across geographies and program partners.

The result is a more integrated patient support–to–safety workflow: fewer manual reviews, faster intake timelines, and more consistent performance at scale—so teams can stay focused on supporting patients while safety intelligence is captured reliably and compliantly.