Detecting Novel Safety Signals via Bayesian Disproportionality Scoring and ROR Mining

Core clinical engineering and protocols for Statistical Signal Detection.

Distinguishing True Signals from Random Background Noise

A pharmaceutical safety database contains tens of thousands of adverse event reports. Finding a genuine rare adverse reaction—such as drug-induced autoimmune hepatitis—requires sophisticated statistical screening to separate true drug signals from co-morbid background noise.

Bayesian Disproportionality Algorithms

PharmacoPlatform computes continuous disproportionality metrics (PRR, ROR, and BCPNN Information Components) across rolling product cohorts. When a drug-event combination crosses pre-defined statistical thresholds, the platform automatically flags an emerging safety signal and routes it to pharmacovigilance physicians for causality review.

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