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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 dwell 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.