Annals of emergency medicine
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There is increasing interest in harnessing artificial intelligence to virtually triage patients seeking care. The objective was to examine the reliability of a virtual machine learning algorithm to remotely predict acuity scores for patients seeking emergency department (ED) care by applying the algorithm to retrospective ED data. ⋯ This machine learning algorithm needs further refinement before being safely implemented for patient use.
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Bystander cardiopulmonary resuscitation (CPR) rates remain low in the United States. Training children is a proposed method to increase this rate, but data on the compression efficacy of US elementary school-aged children are scarce. We hypothesized that fourth and fifth graders could learn how to respond to cardiac arrests and provide effective chest compressions. ⋯ Most students were able to learn hands-only CPR, apply their knowledge during a simulated cardiac arrest scenario, and deliver effective chest compressions. Students' confidence and willingness to perform CPR increased after the intervention.
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Although an increasing number of emergency departments (ED) offer opioid agonist treatment, naloxone, and other harm reduction measures, little is known about patient perspectives on harm reduction practices delivered in the ED. The objective of this study was to identify patient-focused barriers and facilitators to harm reduction strategies in the ED. ⋯ In this study, people with lived experience discussed the characteristics and need for user-centered harm reduction strategies in the ED that centered on reducing stigma, treatment of withdrawal, and availability of harm reduction materials.