Free pharmacovigilance signal detection tool built with Claude Code
A developer has built a free pharmacovigilance signal detection tool using Claude Code, replicating functionality that commercial platforms typically charge $50,000 to $500,000 per year for. The project was completed in a weekend and is now available as a free resource.
What the tool does
The tool analyzes 2.9 million FDA adverse event reports from the FDA's public dashboard. Unlike the raw data available from the FDA, this tool calculates the disproportionality statistics that researchers actually need for pharmacovigilance work: PRR (Proportional Reporting Ratio), ROR (Reporting Odds Ratio), and chi-squared statistics.
Key features
- Type a drug name to get a full statistical safety profile
- Compare drugs side-by-side
- Runs signal detection across the entire FDA adverse event database
- Hosted for free on HuggingFace Spaces
Technical implementation
The developer notes they are not a pharmacovigilance expert but built this tool because "the data is free" and "the methods are published" - the main barrier was engineering implementation. The entire stack runs for free on HuggingFace.
The tool addresses a specific gap in available resources: while published drug safety studies take months of specialized work and end up behind paywalls, and commercial platforms are expensive, this provides free access to the statistical analysis researchers need.
The developer has made the project available with the hope that pharmacovigilance experts will find it useful or extend it into something better. The source code is available on GitHub for those who want to examine or contribute to the implementation.
📖 Read the full source: r/ClaudeAI
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