Structured intake from multiple scientific sources
PVLitup gathers publications from multiple sources, centralizes information, and supports filtering and analysis from one place.
PVLitup
Scientific literature turned into pharmacovigilance intelligence
PVLitup automates search, organization, and analysis of relevant scientific publications for potential adverse event detection and reporting.
Current challenge
Literature review consumes specialist time
Pharmacovigilance teams must continuously review large volumes of scientific literature to identify potentially relevant publications, requiring significant manual effort.
Scientific monitoring at scale without operational overload
Operational platform
One platform to search, filter, and analyze
Unified queue with source and date filters
Review status and assignment by profile
Applied AI
AI where it actually saves work
Prioritization and synthesis for faster review
AI where it actually saves work
Automatic classification: models help classify articles as reportable or non-reportable.
Automatic summarization: the platform generates summaries for quick first-pass review.
Regulatory reporting
From literature to reporting workflows
Outputs ready to share with stakeholders
Collected and analyzed information can support report generation in pharmacovigilance processes.
Traceable report generation
Consistency across monitored literature cycles
Preguntas frecuentes
Which literature sources can PVLitup integrate?
The platform can consolidate publications from multiple sources defined for your pharmacovigilance process.
Does automatic classification replace expert review?
No. AI prioritizes and accelerates review, but final assessment remains with specialized teams.
Can it adapt to existing reporting flows?
Yes. PVLitup can be integrated with internal workflows and reporting circuits.