Articles: emergency-department.
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Triage is widely regarded as an essential function of emergency care (EC) systems, especially in resource-limited settings. Through a systematic search and review of the literature, we investigated the effect of triage implementation on clinical outcomes and process measures in low- and middle-income country (LMIC) emergency departments (EDs). ⋯ There is moderate quality of evidence supporting an association between the introduction of triage and a reduction in deaths and waiting time. Although the available data support the value of triage in LMIC EDs, the risk of confounding and publication bias is significant. Future studies will benefit from more rigorous research methods.
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Eur. J. Intern. Med. · Feb 2024
Effects of the implementation of the dynamic silver code in the emergency department.
Older persons accessing the Emergency Department (ED) spend more time and are at increased risk of poor outcomes. The Dynamic Silver Code (DSC), based on administrative data, predicts mortality of 75+ subjects visiting the ED. ⋯ Application of the DSC seemed to ease patient flow and to reduce LOS of older patients in the ED and increased appropriateness of admissions to Geriatrics.
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Patients in emergency departments (EDs) constitute a diverse population with multiple health-related risk factors, many of which are associated with intimate partner violence (IPV). This paper examines the interaction effect of depression, posttraumatic stress disorder (PTSD), impulsivity, drug use, adverse childhood experiences (ACEs), at-risk drinking, and having a hazardous drinker partner with gender on mutual physical IPV in an urban ED sample. ⋯ IPV risk assessment in EDs will be more effective if implemented with attention to patients' gender and the presence of various and diverse other risk factors, especially PTSD.
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Emerg Med Australas · Feb 2024
Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation.
Artificial intelligence (AI) has gradually found its way into healthcare, and its future integration into clinical practice is inevitable. In the present study, we evaluate the accuracy of a novel AI algorithm designed to predict admission based on a triage note after clinical implementation. This is the first of such studies to investigate real-time AI performance in the emergency setting. ⋯ Our study showed the diagnostic evaluation of a real-time AI clinical decision-support tool became less accurate than the original. Although real-time sensitivity and specificity of the AI tool was still acceptable as a decision-support tool in the ED, we propose that continuous training and evaluation of AI-enabled clinical support tools in healthcare are conducted to ensure consistent accuracy and performance to prevent inadvertent consequences.
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Primary aldosteronism (PA) is a common but underdiagnosed secondary cause of hypertension. Emergency departments (EDs) often assess patients with severe hypertension or its sequelae, some of whom have underlying PA. We aimed to determine the proportion of patients presenting to the ED with hypertension who meet the Endocrine Society criteria for PA testing and the proportion who were screened. ⋯ As far as we are aware, our study is the first to evaluate PA testing in hypertensive patients who present to ED. More than 40% of adults presenting to the EDs with hypertension met the current criteria for testing for PA but only few were tested. These results emphasize that increased awareness of PA in the ED is needed to encourage opportunistic testing, referral, and treatment, especially in patients who present with hypertensive emergencies. Prospective studies are required to determine the feasibility and effectiveness of this.