Articles: emergency-department.
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Implementation of a novel point-of-care ultrasound billing and reimbursement program: fiscal impact.
The aim of this study was to determine the fiscal impact of implementation of a novel emergency department (ED) point-of-care (POC) ultrasound billing and reimbursement program. ⋯ Within 1 year of inception, our novel POC ultrasound billing and reimbursement program generated significant revenue through ultrasound billing.
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Various emergency department (ED) HIV testing models are reported in the literature but may not all be sustainable. We sought to determine whether changing an ED rapid HIV testing program from counselor-based to ED technician-based resulted in more testing. ⋯ We present a novel approach to HIV testing using existing staff within the ED. This new ED technician-based model led to large increases in rates of testing.
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Observational Study
E-point septal separation: a bedside tool for emergency physician assessment of left ventricular ejection fraction.
Rapid assessment of left ventricular ejection fraction (LVEF) may be critical among emergency department (ED) patients. This study examined the predictive relationship between ED physician performed bedside mitral-valve E-point septal separation (EPSS) measurements to the quantitative, calculated LVEF. We further evaluated the relationship between ED physician visual estimates of global cardiac function (GCF) and calculated LVEF values. ⋯ Measurements of EPSS by ED physicians were significantly associated with the calculated measurements of LVEF from comprehensive TTE. Subjective visual estimates of GCF, however, demonstrated only moderate agreement with the calculated LVEF. An EPSS measurement greater than 7 mm was uniformly sensitive at identifying patients with severely reduced LVEF.
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There have been mounting safety concerns over increasing prescription rates for proton pump inhibitors (PPIs). Trends in PPI use have not been studied in emergency departments (EDs). We characterize trends in PPI use in US EDs. ⋯ Over the past decade, there have been considerable increases in PPI prescribing in US EDs. This trend occurred despite rising safety concerns, even in populations at higher risk for adverse events such as older adults. More education may be needed to ensure that ED providers are familiar with indications for PPIs.
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The objectives of this study are to design an artificial neural network (ANN) and to test it retrospectively to determine if it may be used to predict emergency department (ED) volume. ⋯ The results of this study show that a properly designed ANN is an effective tool that may be used to predict ED volume. The scatterplot demonstrates that the ANN is least predictive at the extreme ends of the spectrum suggesting that the ANN may be missing important variables. A properly calibrated ANN may have the potential to allow ED administrators to staff their units more appropriately in an effort to reduce patient wait times, decrease ED physician burnout rates, and increase the ability of caregivers to provide quality patient care. A prospective is needed to validate the utility of the ANN.