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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0576Certified recordPeer-reviewed

Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?

BackgroundAccurate triage of trauma patients by Emergency Medical Services (EMS) is essential for optimal outcomes and resource allocation. The 2021 National Field Triage Guidelines (FTG) assist EMS in prehospital triage; however, its collective performance has never been evaluated using a national database. We aimed to evaluate an FTG surrogate and develop a predictive model to identify patients at risk for serious injury.MethodsThe Trauma Quality Improvement Program National Trauma Databank (2017-2020) was que…

Health · G Space — documented gain · certified 2026-07-27 · v1 · article view · machine-readable

Current reading — gain

An XGBoost model trained on routinely collected prehospital vitals and demographics reduced under-triage and over-triage compared to a surrogate of the 2021 National Field Triage Guidelines in 1.2M trauma patients.

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Truvace Impact Record TRV-2026-0576, v1: “Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?.” Truvace, 2026-07-27. /record/TRV-2026-0576 (accessed at citation time). sha256 e0ee3dc4cd7b6bcc…

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