Automated literature monitoring for Pharmacovigilance

Pharmacovigilance groups depend on targeted, up-to-date product information and adverse event reporting to meet regulatory requirements. Yet, many life science enterprises are compromised by multiple databases that lack integration, and feature insufficient search and alert functions.

QUOSA PV - Pharmacovigilance | Elsevier

How QUOSA PV helps
QUOSA PV is a pharmacovigilance workflow management tool that centralizes the discovery of critical adverse event information in various types of literature, including information found in the new EMA Medical Literature Monitoring (MLM) initiative.

It promotes efficiency and compliance by automating the monitoring and triage of information in a scalable environment, so you can capture all decisions and provide a detailed audit trail. QUOSA PV lets users:

  • Review literature and monitor the article pipeline from a single browser-based interface
  • Save time by automatically de-duplicating search results
  • Quickly identify adverse events from a broad spectrum of literature sources
  • Rapidly assess information with automated literature review and triage

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  • Improve oversight and efficiency with workload management tools and dashboard views
  • Lower development and administrative costs with a scalable central library
  • Rapidly identify case and drug-specific data by storing adverse event/safety data and articles in a searchable product literature database
  • Ensure compliance with regulatory best practices and within (GxP) regulated environments

Donna Sees customer story - QUOSA PV | Elsevier

Featured customer story

Donna Sees, Information Consultant with PharmIntell Consulting, discusses post-market surveillance best practices for medical device companies and how QUOSA helps.

Read the customer story (PDF, 521kb)


How QUOSA PV works

QUOSA PV is a workflow management tool that helps you automate the process of monitoring and triaging articles in a scalable environment.

Download the  QUOSA PV Fact Sheet (PDF, 1.2mb)


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