Articles: hospital-emergency-service.
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Triage refers to classifying and prioritizing patients based on the severity of their injuries or illnesses in the health care setting. The increasing number of elderly patients seeking care in emergency departments (EDs) highlights the need for special attention to the unique needs of this patient population. ⋯ Significant differences in patients' methods of presentation to the ED were observed based on the MTS, qSOFA, NEWS, and ESI scores.
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Emergency department (ED) overcrowding presents a global challenge that inhibits prompt care for critically ill patients. Traditional 5-level triage system that heavily rely on the judgment of the triage staff could fail to detect subtle symptoms in critical patients, thus leading to delayed treatment. Unlike previous rivalry-focused approaches, our study aimed to establish a collaborative machine learning (ML) model that renders risk scores for severe illness, which may assist the triage staff to provide a better patient stratification for timely critical cares. ⋯ The traditional 5-level triage system often falls short, leading to under-triage of critical patients. Our models include a score-based differentiation within a triage level to offer advanced risk stratification, thereby promoting patient safety.
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Ulus Travma Acil Cerrahi Derg · Aug 2024
Observational StudyA challenging decision for emergency physicians: Routine repeat computed brain tomography of the brain in head trauma in infants and neonates.
Head trauma is a leading cause of death and disability. While standard treatment protocols exist for severe head trauma, no clear follow-up standards are available for mild head trauma with positive imaging findings in infants and newborns. Although routine follow-up brain computed tomography (CT) imaging is not recommended for children with moderate and mild head trauma, the necessity for follow-up imaging in infants and newborns remains uncertain. ⋯ Follow-up CT scans in infants with mild head trauma do not alter patient outcomes except in cases with brain parenchymal pathology. Study data indicated that repeat imaging is not beneficial for isolated skull fractures. Imaging artifacts often necessitated repeated scans, contributing to increased radiation exposure. Unnecessary repeat imaging escalates radiation exposure and healthcare costs. Only a small percentage of patients exhibited progression of intracranial pathology, justifying follow-up imaging solely in the presence of brain parenchymal injury. Larger prospective studies are necessary to confirm these findings.
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Academic emergency medicine (EM) is foundational to the EM specialty through the development of new knowledge and clinical training of resident physicians. Despite recent increased attention to the future of the EM workforce, no evaluations have specifically characterized the U.S. academic EM workforce. We sought to estimate the national proportion of emergency physicians (EPs) identified as academic and the proportion of emergency department (ED) visits that take place at academic sites. ⋯ Approximately four in 10 EPs practice in at least one clinical training site affiliated with an ACGME-accredited EM residency program, and approximately one in three ED visits nationally occur in these academic EDs. We encourage further work using alternative definitions of an academic EPs and EDs, along with longitudinal research to identify trends in the workforce's composition.
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Observational Study
Assessing the Predictive Value of Combining Risk Scoring Systems and Ultrasonography for Short-Term Adverse Outcomes in Syncope: A Prospective Observational Study.
In the emergency department (ED), the role of ultrasonography (USG) in risk stratification and predicting adverse events in syncope patients is a current research area. However, it is still unclear how ultrasound can be combined with existing risk scores. ⋯ The use of USG in the evaluation of syncope patients did not result in significant improvement in sensitivity and specificity values for predicting adverse events. However, larger sample-sized studies are needed to understand its potential contributions better.