Articles: emergency-services.
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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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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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EXPRESS: Implementation of telepsychiatry in an urban pediatric satellite emergency department (ED).
While pediatric mental health emergencies are increasing in frequency and severity, psychiatric resources remain concentrated in tertiary care facilities. Telepsychiatry has successfully mitigated these challenges in rural emergency departments (EDs), suggesting potential benefits for urban EDs that lack psychiatric resources. We implemented telepsychiatry in an urban ED to reduce ED length of stay and the need for transferring pediatric patients with mental and behavioral health complaints. ⋯ The median length of stay decreased significantly from 473 minutes (95% CI=431-733) to 275 min (95% CI=316-462) after implementation. Repeat visits for mental health complaints within 30 days decreased from 23% to 10%. Implementing a telepsychiatry evaluation program in an urban pediatric satellite ED reduced transfers and decreased patient length of stay.
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Scand J Trauma Resus · Jan 2025
ReviewKey performance indicators in emergency department simulation: a scoping review.
One way to measure emergency department (ED) performance is using key performance indicators (KPIs). Thus, identifying reliable KPIs can be critical in appraising ED performance. This study aims to introduce and classify the KPIs related to ED in simulations through the Balanced Scorecard (BSC) framework. ⋯ The study findings have collected a comprehensive set of KPIs to measure ED performance in simulations. These results can assist policymakers, managers, and researchers in measuring ED performance and help improve ED performance through a holistic view.
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Eur J Trauma Emerg Surg · Jan 2025
Outcomes of electrical injuries in the emergency department: epidemiology, severity predictors, and chronic sequelae.
Electrical injuries (EIs) represent a significant clinical challenge due to their complex pathophysiology and variable presentation, ranging from minor burns to severe internal organ damage. Despite their prevalence in both; domestic and occupational settings, there remains a rareness of systematic guidelines and comprehensive literature to aid clinicians in effectively managing these injuries. Understanding these factors is crucial for developing protocols that can mitigate the risk of delayed complications, such as cardiac arrhythmias, in patients who initially appear stable. ⋯ EIs are frequent, with diverse clinical presentations requiring multidisciplinary care. Awareness of potential delayed complications is essential, and prevention is crucial.