Cost
savings
Increased reporting compliance
Standardized
approach
Greater patient engagement
Reducing
manual effort
Proven Performance, Proven Results
Cost
savings
Increased reporting compliance
Standardized
approach
Greater patient engagement
Reducing
manual effort
Avoids costly manual review of large bodies of data by humans
THE PROOF
cost savings in manual review of adverse events
>1.2M
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Cost savings
patient safety records per year
monitored by Detect resulted in
Cost
savings
Consistent AE search resulting in higher reporting compliance and increasing patient safety
THE PROOF
social media records monitored annually by Detect covering 300 data sources in
2.6M
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Increased reporting compliance
Increased reporting compliance
countries
38
languages
91
&
Allows for greater digital patient engagement and patient centricity
THE PROOF
diabetes patient messages with 445 AEs/PQCs identified in two years through the integration of Detect with virtual agent technology
>290K
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Greater patient engagement
Greater patient engagement
Standardized approach to monitoring patient support programs globally
Facilitates quick remediation when necessary
THE PROOF
rep call notes reviewed with 109 AEs identified and
23K
< BACK
Standardized approach
accuracy using Detect
Standardized
approach
Allowing drug safety to focus on science of safety instead of manual review (high value tasks)
THE PROOF
cases and 91 products reviewed by Detect in 30 days
>850K
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Reducing manual effort
Reducing
manual effort
accuracy in identification of missed pregnancy reports
IQVIA’s Vigilance Detect leverages >500K safety-specific terms and patterns in over 50 languages that can identify potential AEs, product quality complaints, and other risks across large and diverse datasets regardless of format. These are then validated through expert human PV review.
Data from these real world case studies from top 10 pharma show compelling results across a handful of source types.
Click each area to see examples
Vigilance Detect Case Studies
Data Source: Patient Support Program
Data Source: Social Media
Data Source: Virtual Agent (Chatbot)
Data Source: CRM System
Data Source: Safety Database (structured and unstructured data)
Click each area to see examples
