Challenges of turning prehospital prediction of trauma-induced coagulopathy into early administration of tranexamic acid

This article uses a previously developed machine learning model to risk-stratify patients susceptible to trauma-induced coagulopathy and compares the stratification to the percentage of patients receiving tranexamic acid (TXA) within 1 hour of injury.1 The authors highlight the lack of early TXA administration in medium-risk and higher-risk patients, attempting to use machine learning to close the persistent gap between evidence-based recommendations and practical implementation.2