Articles: emergency-services.
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Management of acute neurologic disorders in the emergency department is multimodal and may require the use of medications to decrease morbidity and mortality secondary to neurologic injury. Clinicians should form an individualized treatment approach with regard to various patient specific factors. This review article focuses on the pharmacotherapy for common neurologic emergencies that present to the emergency department, including traumatic brain injury, central nervous system infections, status epilepticus, hypertensive emergencies, spinal cord injury, and neurogenic shock.
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Meta Analysis
Machine Learning versus Usual Care for Diagnostic and Prognostic Prediction in the Emergency Department: A Systematic Review.
Having shown promise in other medical fields, we sought to determine whether machine learning (ML) models perform better than usual care in diagnostic and prognostic prediction for emergency department (ED) patients. ⋯ Our review suggests that ML may have better prediction performance than usual care for ED patients with a variety of clinical presentations and outcomes. However, prediction model reporting guidelines should be followed to provide clinically applicable data. Interventional trials are needed to assess the impact of ML models on patient-centered outcomes.
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Emerg. Med. Clin. North Am. · Feb 2021
ReviewDiagnosis and Initial Emergency Department Management of Subarachnoid Hemorrhage.
Atraumatic subarachnoid hemorrhage represents a small proportion of strokes, but is a true medical emergency that results in significant morbidity and mortality. Making the diagnosis can be challenging and misdiagnosis can result in devastating consequences. There are several time-dependent diagnostic and management considerations for emergency physicians and other frontline providers. This article reviews the most up-to-date literature on the diagnostic workup of subarachnoid hemorrhage, avoiding misdiagnosis, and initial emergency department management recommendations.
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Review
Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.
Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, departmental leaders, and health policymakers have attempted to discover efficient approaches to enhance the provision of quality patient care. There are increasing expectations for radiology practices to deliver a dedicated emergency radiology service providing 24/7/365 on-site attending radiologist coverage. Emergency radiologists (ERs) are pressed to meet the demand of increased imaging volume, provide accurate reports, maintain a lower proportion of discrepancy rate, and with a rapid report turnaround time of finalized reports. ⋯ This exploratory narrative serves the present-day health leadership's information needs by proposing an AI supported and radiologist centered framework depicting the work flow within a department. It is suspected that the use of such a framework, if efficacious, could provide considerable benefits for patient safety and quality of care provided. Additionally, alleviating radiologist burnout and decreasing healthcare costs over time.
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Review
Sobering centers, emergency medical services, and emergency departments: A review of the literature.
Acute alcohol intoxication accounts for a large proportion of potentially unnecessary emergency department visits and expenditure. Sobering centers are a cheaper alternative treatment option for alcohol intoxication and can provide an opportunity to treat the psychosocial aspects of alcohol use disorder. ⋯ Sobering centers are a cost effective alternative to emergency department visits for acute alcohol intoxication and further research is required to identify safe, effective protocols for EMS to triage patients to appropriate treatment destinations.