Articles: hospital-emergency-service.
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Artificial intelligence (AI) has emerged as a potentially transformative force, particularly in the realm of emergency medicine (EM). The implementation of AI in emergency departments (ED) has the potential to improve patient care through various modalities. However, the implementation of AI in the ED presents unique challenges that influence its clinical adoption. This scoping review summarizes the current literature exploring the barriers and facilitators of the clinical implementation of AI in the ED. ⋯ There is increasing literature on AI implementation in the ED. Our research suggests that the most common barrier facing AI implementation in the ED is model interpretability and explainability. More primary research investigating the implementation of specific AI tools should be undertaken to help facilitate their successful clinical adoption in the ED.
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Randomized Controlled Trial
Efficacy of 10%,25% and 50% dextrose in the treatment of hypoglycemia in the emergency department - A randomized controlled study.
Documented symptomatic hypoglycemia is defined as "event during which typical symptoms of hypoglycemia are accompanied by measured blood glucose of ≤70 mg/dL. Most of the studies and recommendations for the unconscious hypoglycemic adult advocate the use of 25 g of glucose as 50 mL of 50% dextrose solution intravenous or 1 mg of intramuscular glucagon. ⋯ There was no difference in 10% dextrose and 25% dextrose as compared to 50% dextrose in achieving the baseline mental status (or GCS 15) in the treatment of hypoglycemia in the ED.