Global Patient Safety
Open tools for pharmacovigilance signal detection and clinical research acceleration.
★ Start here — how we read the data
Inside the AEMS Data: What 4.8 Million Reports Do and Don't Tell You
2026-07-14
The FDA's Adverse Event Monitoring System, the quarterly public data behind our analyses, and why the strongest raw 'signal' is usually an artifact — not a discovery.
Read →Tools
MAUDE device safety
Coming soonFDA MAUDE (medical device adverse events) with the same time-stratified analysis used for drugs.
Recent articles
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We analyse 35 years of FDA and CDC adverse-event data using peer-reviewed Bayesian statistics to surface drug safety signals that matter to patients and clinicians.
Data sources
- FDA FAERS (2018–present)
- CDC VAERS (1990–present)
Methods
- GPS — 5th-percentile credible bound, dual-Gamma posterior, linear RR scale (DuMouchel 1999 framework)
- PRR, ROR, BCPNN/IC
- Consensus: flagged by ≥ 2 of 4 methods
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