Using Syndromic Surveillance Data to Describe Chronic High Frequency ED Utilization
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چکیده
منابع مشابه
Using Syndromic Surveillance Data to Describe Chronic High Frequency ED Utilization
Introduction Utilization and overcrowding of EDs has been a prominent component of the health care reform debate in the United States for the last several years. In Virginia, the ED utilization rate has increased 27.5% between 2000 and 2012 from 34.5 visits to 44.0 visits per 100 persons1. Individuals with high frequency utilization of EDs account for a disproportionate number of visits, which ...
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Introduction Within the UK, previous syndromic surveillance studies have used statistical estimation to describe the activity of respiratory pathogens.1 The Emergency Department Syndromic Surveillance System (EDSSS) was initially developed in preparation of the London 2012 Olympic and Paralympic Games and has continued as a standard surveillance system, with expanding coverage across England an...
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Introduction NYC Department of Health and Mental Hygiene recently reoriented its oral health care strategy to focus on health promotion and expanded surveillance. One surveillance challenge is the lack of timely OHV data; few dental providers are in our electronic health record project, and statewide utilization data are subject to delays. Prior research has examined OHV using ICD-9-CM from ED ...
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Introduction Syndromic surveillance is one of the meaningful use public health menu set objectives for eligible professionals. The value of this data for syndromic surveillance as an adjunct to the more widely adopted emergency department registrations has not been studied extensively. It may be that it would improve the sensitivity or timeliness of detecting certain communicable disease events...
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Due to nonstationarity and substantial variability in outbreak profiles, early detection of disease outbreaks is challenging. In this paper we propose a method to detect outbreaks in syndromic surveillance data using a generalized likelihood ratio test in which both the null and alternative hypotheses are normally distributed. The data is daily counts of interactions between patients and the Na...
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ژورنال
عنوان ژورنال: Online Journal of Public Health Informatics
سال: 2015
ISSN: 1947-2579
DOI: 10.5210/ojphi.v7i1.5730