Articles: emergency-department.
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Artificial Intelligence (AI) models like GPT-3.5 and GPT-4 have shown promise across various domains but remain underexplored in healthcare. Emergency Departments (ED) rely on established scoring systems, such as NIHSS and HEART score, to guide clinical decision-making. This study aims to evaluate the proficiency of GPT-3.5 and GPT-4 against experienced ED physicians in calculating five commonly used medical scores. ⋯ While AI models demonstrated some level of concordance with human expertise, they fell short in emulating the complex clinical judgments that physicians make. The study suggests that current AI models may serve as supplementary tools but are not ready to replace human expertise in high-stakes settings like the ED. Further research is needed to explore the capabilities and limitations of AI in emergency medicine.
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Treatment for patients with cancer in the emergency department ranges from treating life-threatening emergencies to symptom management or issues unrelated to their cancer, but for which cancer and its treatment may be complicating factors. Nurses are expected to manage the care of this population and be aware of risk factors for complications that may be unique to cancer patients. To date, education for emergency nurses regarding oncologic emergencies and the care for patients with cancer has been limited. ⋯ Our findings suggest that emergency nurses need a stronger foundation of the knowledge and skills required to care for patients with cancer. Results from this study can inform future curriculum development efforts.
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Pediatric emergency care · May 2024
Factors Influencing Parental Willingness to Consent to a Survey Study for Patients in the Pediatric Emergency Department.
To identify factors that impact parental willingness to consent to research studies conducted for their children during visits to pediatric emergency departments (EDs). ⋯ A high proportion of parents consented to their child participating in research in our ED with previous child participation in research being associated with lower odds of parental consent even when adjusted for other factors. Our findings may inform future research practices and studies investigating parental perceptions and motivations surrounding research studies.
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The incidence of injuries caused by electric bicycles (E-bikes) and powered scooters (P-scooters) continues to increase. Data on the severity of those injuries is conflicting. The purpose of this study was to explore secular trends in the incidence and severity characteristics of patients following E-bike and P-scooter injuries and predictors for major trauma. ⋯ The incidence of E-bike and P-scooter injuries sharply increased over time, with a parallel elevation in numbers of hospitalizations, surgical interventions, and major trauma cases. Major trauma percentages did not increase during the study period. Male sex and E-bikes emerged as independent predictors for major trauma.
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Patients with acute vertebral compression fractures (aVCFs) are frequently transferred to an emergency department by ambulance. The most useful imaging modality is magnetic resonance imaging (MRI); however, which patients should be prioritized for MRI evaluation may be unclear. The aim of this study was to evaluate plasma D-dimer levels as a biomarker for aVCFs. ⋯ Plasma D-dimer levels can provide useful diagnostic information about whether an aVCF is present.