The American journal of emergency medicine
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Review Meta Analysis
Association between helicopter medical services for pediatric trauma patients and mortality: Systematic review and meta-analysis.
Helicopter emergency medical services (HEMS) have become widespread around the world. However, previous studies of the influence of HEMS on mortality were limited to adult patients only and showed inconsistent and heterogeneous results. This study aimed to examine the association between HEMS and mortality among pediatric emergencies compared to ground emergency medical service (GEMS). ⋯ Our systematic review and meta-analysis, which was limited to trauma pediatric trauma patients, revealed that HEMS deployment correlated with decreased mortality. Further research is necessary to more effectively measure the potential influence and applicability of HEMS for pediatric emergencies.
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The use of acute hospital-level care at home (hospital-at-home) for patients who are chronically ill has led to decreased medical costs, amount of sedentary time, and hospital admissions. Our large integrated healthcare system identified the need to develop a mechanism through which to decrease emergency department (ED) visits in this patient population by creating a home acute care program called Urgent Dispatch. The primary objective of this study was to determine the medical condition for referral and seven and 30-day ED visit rates. ⋯ A home-based care model of healthcare delivery for patients with chronic medical conditions can provide effective care, with 80.2 % of patients avoiding an ED visit within seven days and 68.2 % avoiding an ED visit within 30 days.
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Given the increasing proportion of patients and caregivers who use languages other than English (LOE) at our institution and across the U.S, we evaluated key workflow and outcome measures in our emergency department (ED) for patients and caregivers who use LOE. ⋯ These results highlight the need for better language documentation and understanding of factors contributing to extended stays and increased revisits for pediatric patients and caregivers who use LOE.
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Despite advancements in antimicrobial therapies, bacteremia remains a life-threatening condition. Appropriate antimicrobials must be promptly administered to ensure patient survival. However, diagnosing bacteremia based on blood cultures is time-consuming and not something emergency department (ED) personnel are routinely trained to do. ⋯ The ML models developed effectively predicted bacteremia among febrile or hypothermic patients in the ED, with all models demonstrating high AUROC values and rapid processing times. The findings suggest that ED clinicians can effectively utilize ML techniques to develop predictive models for addressing clinical challenges.