Objective Transporting severely injured pediatric patients to a trauma center has been
shown to decrease mortality. A decision support tool to assist emergency medical services …

Study Objective: We sought to create a clinical decision rule, on the basis of variables
available to out-of-hospital personnel, that could be used to accurately predict severe injury …

Objective: Appropriate treatment at designated trauma centers (TCs) improves outcomes
among injured children after motor vehicle crashes (MVCs). Advanced Automatic Crash …

Objective: Survival risk ratios (SRRs) and their probabilistic counterpart, mortality risk ratios
(MRRs), have been shown to be at odds with Abbreviated Injury Scale (AIS) severity scores …

BACKGROUND Mortality rates among children in motor vehicle crashes (MVCs) are
typically low; however, nonfatal injuries can vary in severity by imposing differing levels of …

Abstract Objective Advanced Automatic Crash Notification (AACN) uses vehicle telemetry
data to predict risk of serious injury among motor vehicle crash occupants and can thus …

Objectives: To prospectively validate a previously published out‐of‐hospital clinical decision
rule to identify seriously injured children involved in motor vehicle crashes (MVCs). Methods …

Study objectives: We prospectively validate a previously published out-of-hospital clinical
decision rule (based on Glasgow Coma Scale [GCS] score, passenger space intrusion, and …

Background Triage decision correctness for children in motor vehicle crashes can be
affected by occult injuries. There is a need to develop a transfer score (TS) metric for …

The objective of the study was to develop and evaluate a pediatric-specific advanced
automatic crash notification (AACN) algorithm that uses a more comprehensive scoring …