Large language model shows promise in helping clinicians identify postpartum hemorrhage

Postpartum hemorrhage is the leading cause of maternal mortality and morbidity worldwide and a common pregnancy complication. This serious medical condition is understudied and not universally defined or well represented in health records. A new study by investigators from Brigham and Women’s Hospital has used the large language model Flan-T5 to extract medical concepts from electronic health records in order to better define and identify the populations impacted by postpartum hemorrhage.