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Department Services (department + services)

Distribution by Scientific Domains
Medical Sciences100%

Kinds of Department Services

  • emergency department services
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    Selected Abstracts

    Emergency Department Services for Patients with Alcohol Problems: Research Directions

    ACADEMIC EMERGENCY MEDICINE, Issue 1 2003
    Daniel W. Hungerford DrPH
    Abstract This report summarizes recommendations on research directions developed from the conference "Alcohol Problems among Emergency Department Patients: Research on Identification and Intervention." The conference was developed in order to evaluate the existing state of the art research on emergency department interventions for alcohol problems, and offer further recommendations for research. [source]

    The Challenge of Predicting Demand for Emergency Department Services

    ACADEMIC EMERGENCY MEDICINE, Issue 4 2008
    Melissa L. McCarthy MS
    Abstract Objectives:, The objective was to develop methodology for predicting demand for emergency department (ED) services by characterizing ED arrivals. Methods:, One year of ED arrival data from an academic ED were merged with local climate data. ED arrival patterns were described; Poisson regression was selected to represent the count of hourly ED arrivals as a function of temporal, climatic, and patient factors. The authors evaluated the appropriateness of prediction models by whether the data met key Poisson assumptions, including variance proportional to the mean, positive skewness, and absence of autocorrelation among hours. Model accuracy was assessed by comparing predicted and observed histograms of arrival counts and by how frequently the observed hourly count fell within the 50 and 90% prediction intervals. Results:, Hourly ED arrivals were obtained for 8,760 study hours. Separate models were fit for high- versus low-acuity patients because of significant arrival pattern differences. The variance was approximately equal to the mean in the high- and low-acuity models. There was no residual autocorrelation (r = 0) present after controlling for temporal, climatic, and patient factors that influenced the arrival rate. The observed hourly count fell within the 50 and 90% prediction intervals 50 and 90% of the time, respectively. The observed histogram of arrival counts was nearly identical to the histogram predicted by a Poisson process. Conclusions:, At this facility, demand for ED services was well approximated by a Poisson regression model. The expected arrival rate is characterized by a small number of factors and does not depend on recent numbers of arrivals. [source]

    The effect of depression on use of emergency department services in Hong Kong Chinese older adults with diabetes

    INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Issue 9 2005
    Kee-Lee Chou
    No abstract is available for this article. [source]

    Keynote Address: Closing the Research-to-practice Gap in Emergency Medicine

    ACADEMIC EMERGENCY MEDICINE, Issue 11 2007
    Carolyn M. Clancy MD
    Emergency medicine in the United States is facing tremendous challenges due to recent public health emergencies, continuing threats of bioterrorism, and an increasing and unprecedented demand for emergency department services. These challenges include overcrowding; long waiting times; "boarding" of patients; ambulance diversion; a need for better, more reliable tools for triaging patients; and medical errors and other patient safety concerns. These challenges and concerns were brought to the forefront several years ago by the Institute of Medicine in several landmark reports that call for closing the research-to-practice gap in emergency medicine. The Agency for Healthcare Research and Quality is funding a number of projects that address many of the concerns raised in the reports, including the use of an advanced access appointment scheduling system to improve access to care; the use of an electronic medical record system to reduce waiting times and errors and improve patient and provider satisfaction; and the refinement of the Emergency Severity Index, a five-level triage scale to get patients to the right resources at the right time. The agency's Healthcare Cost and Utilization Project is gathering data that will allow researchers to examine a broad range of issues affecting the use, quality, and cost of emergency services. Although progress has been made over the past few years in closing the research-to-practice gap in emergency medicine, many challenges remain. The Agency for Healthcare Research and Quality has supported and will continue to support a broad portfolio of research to address the many challenges confronting emergency medicine, including ways to improve emergency care through the application of research findings. [source]