Articles: emergency-services.
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Emergency departments (ED) must perform patient care at a safe and efficient pace, which requires an effective care team. Communication and workplace practices that foster identification as part of an emergency healthcare team have not been previously demonstrated. ⋯ The findings emphasize the importance of fostering positive communication practices to enhance team dynamics, cohesiveness, and overall well-being within ED healthcare teams. Future research may delve into specific aspects like naming conventions and the role of friendships in healthcare communication.
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To identify clinical and sociodemographic characteristics of frequent use of emergency departments by persons of advanced age. ⋯ Frail elderly patients with more comorbid conditions are at higher risk for frequent use of emergency departments. These patients should be identified early so that management of their conditions can be adjusted.
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Yonsei medical journal · Feb 2025
Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data.
Early identification of patients at risk for acute respiratory failure (ARF) could help clinicians devise preventive strategies. Analyzing biosignals with artificial intelligence (AI) can uncover hidden information and variability within time series. We aimed to develop and validate AI models to predict ARF within 72 h after emergency department admission, primarily using high-resolution biosignals collected within 4 h of arrival. ⋯ Our AI model demonstrates high predictive accuracy and significant associations with clinical outcomes. Our AI model has the potential to promptly aid in triage decisions. Our study shows that using AI to analyze biosignals advances disease detection and prediction.
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Individuals experiencing homelessness (IEH) tend to have increased length of stay (LOS) in acute care settings, which negatively impacts health care costs and resource utilisation. It is unclear however, what specific factors account for this increased LOS. This study attempts to define which diagnoses most impact LOS for IEH and if there are differences based on their demographics. ⋯ Homelessness significantly increases the LOS of individuals within both ED and inpatient settings. We have identified several diagnoses that are associated with increased LOS in IE; these should inform the prioritisation and development of targeted interventions to improve the health of IEH.
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Patients with suspected infections account for 15% to 35% of hospital emergency department (ED) caseloads in Spain and Latin America. The main objective of this systematic review was to compare evidence supporting the safety and efficacy of early (3 hours after triage) vs deferred ($ 3-6 hours) antibiotic therapy prescribed in EDs for adults with serious infections or sepsis. Efficacy and improved clinical course were defined by reduced progression to septic shock and short- and long-term mortality. ⋯ Early initiation of antibiotic therapy, preferably within 3 hours of triage, can be recommended in cases of serious infection (sepsis or serious sepsis that do not meet the criteria for septic shock). In fact, based on a tendency for higher short- and long-term mortality associated with delay and a higher probability of developing septic shock with each hour of delay, therapy should start as soon as possible if infection is confirmed or suspected in the absence of an alternative diagnosis.