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MetaLit

Intelligent Literature Search for Pharmacovigilance Across PubMed, Embase & More

Discover Features

Why MetaLit?

Unified AI Platform

MetaLit is PV Analytica's AI-driven literature monitoring and extraction platform, purpose-built for pharmacovigilance teams. It brings advanced search, full-text retrieval, and structured extraction into a unified, regulated workflow.

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Proactive Safety Surveillance

In life sciences and safety surveillance, staying ahead of published literature is critical. Yet manually screening thousands of papers is inefficient, error-prone, and unsustainable as volumes grow.

MetaLit transforms literature monitoring into a proactive, auditable, and AI-enabled process.

Key Capabilities

Smart Search

  • Define search strings in Prompt Admin using Boolean operators and filters.
  • Supports Broad Search (wide coverage) and Narrow Search (precise queries).
  • Save and reuse queries; run on-demand or scheduled searches.

Data Fetch

  • Retrieve abstracts from PubMed and Embase.
  • Fetch full texts from PMC and other connected databases.
  • Allow manual uploads for PDFs not available online.

Content Extraction

  • Extract structured sections: Introduction, Methods, Results, Discussion.
  • Capture tables, figures, and captions for complete analysis.
  • Ensure context-rich extraction for regulatory use.

AI Filtering

  • Apply user-configured prompts to filter literature by safety criteria.
  • Identify seriousness, patient demographics, and reporter details.
  • Automate exclusion of irrelevant articles for efficiency.

Primary Review

  • Reviewer screens literature flagged by MetaLit extraction.
  • Focus on relevance, drug-event association, and case potential.
  • Streamlined UI for rapid decision-making and tagging.

Secondary Review

  • Secondary reviewer validates primary review decisions.
  • Comment and collaborate seamlessly via integrated tools (e.g., SharePoint).
  • Approve, reject, or escalate articles for ICSR intake.

How It Works

How It Works (User Flow)

1

Configure search prompts in Prompt Admin → specify drug names, AE filters.

2

Schedule or run on-demand queries via MetaLit

3

MetaLit calls PubMed, Embase, and other sources to retrieve metadata and full texts

4

LLM processes each article → extracts structured content (sections, tables, paragraphs)

5

Results appear in a tabular UI. Users pick articles for batch summary.

6

Secondary reviewer adds comments (via SharePoint) → Primary reviewer pushes or rejects for ICSR intake.

Value Proposition

Regulatory Compliance

Full audit trail with end-to-end traceability, version control, and governance

Time Savings

Reduce manual literature screening by over 60%

Consistency & Scale

Uniform extraction and filtering across affiliates and therapies

Integration Ready

Designed to link directly to PV backend systems for case intake

Technology & Architecture Highlights

Agentic scheduling engine to run recurring queries
NCBI E-utilities integration for PubMed/PMC ingestion
Embase and other database ingestion support
JATS/XML parsing to extract sections, tables, nested content
Domain-tuned LLM models to filter safety-relevant data
UI built for reviewer workflows and batch summarization
Audit logging, role-based access, compliance alignment
21 CFR Part 11, GDPR, and GxP compliance

Try MetaLit Today

Empower your pharmacovigilance team with AI-enhanced literature intelligence. Book a demo to see MetaLit in action and explore how it integrates into your safety workflows.