Articles: emergency-department.
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Emerg Med Australas · Feb 2025
How useful was a paediatric physical abuse screening project in a rural Australian emergency department?
Children with non-accidental injuries have increased risk of future death. There is insufficient evidence for widespread physical abuse screening tool use in the ED. This study assesses the utility of a physical abuse project that includes the implementation of a screening tool with case-matching from multiple sources. It aims to confirm whether risk-screening in a medium-sized rural Australian ED is reliable and will improve outcomes. ⋯ Implementing this ED paediatric physical abuse project improved safety behaviours and best-practice documentation. The tool improved medical decision making without increased re-presentations. ED clinicians may use similar CPAs to help review safety concerns and facilitate discharge; however, resources are needed to investigate referrals flagged due to false-positive rates.
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Observational Study
Factors associated with hospital revisitation within 7 days among patients discharged at triage: a case-control study.
Existing data are limited for determining the medical conditions best suited for an emergency department (ED) redirection strategy in a heterogeneous, nonurgent patient population. ⋯ Higher age and abdominal pain were associated with hospital revisitation and hospitalization within 7 days among patients directly discharged or redirected by the triage team. Regardless of the triage system in use, there might be patient groups that should be evaluated more cautiously if a triage-based discharge or redirection strategy is to be considered.
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Emerg Med Australas · Feb 2025
Self-reported knowledge and attitudes surrounding care of LGBTQIA+ patients in the emergency department.
The ED is a common pathway for receiving care for all consumers. Little is known about staff perspectives about care of consumers who identify as LGBTQIA+ in an Australian setting. We sort to explore staff knowledge, attitude and behaviours around care of LGBTQIA+ consumers to identify potential barriers to care. ⋯ This study found that despite little or no formal training in provision of care for LGBTQIA+ consumers, respondents saw LGBTQIA+ consumers as a relatively small group within the wider ED consumer population and did not see the treatment of LGBTQIA+ consumers as more challenging with respect to interaction, assessment and provision of care.
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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.