A new algorithmic approach has made Taiwan’s entire insured population—23 million individuals—accessible for pregnancy-focused pharmacoepidemiology research. Researchers developed a hierarchical computational method that extracts pregnancy information and gestational age estimates from administrative health claims data, creating unprecedented opportunities for real-world evidence generation on medication safety during pregnancy.
The algorithm systematically integrates diagnostic codes, delivery procedure records, and laboratory test results to classify pregnancies and estimate their duration with structured clinical logic. This data integration approach eliminates reliance on manual medical chart review or direct access to obstetric ultrasound records, allowing researchers to rapidly identify and characterize large pregnancy cohorts across Taiwan’s entire national health insurance system. The capability positions Taiwan as a leader in pregnancy pharmacovigilance and demonstrates how administrative health data can unlock actionable insights for maternal medication safety at an unprecedented population scale.
Read the full article on GMJ Newsroom.
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