Public health surveillance with big data: assessing diabetes trends using medico-administrative data
نویسندگان
چکیده
منابع مشابه
Administrative and syndromic surveillance data can enhance public health surveillance
Objective This roundtable will address how multiple data sources, including administrative and syndromic surveillance data, can enhance public health surveillance activities at the local, state, regional, and national levels. Provisional findings from three studies will be presented to promote discussion about the complementary uses, strengths and limitations, and value of these data sources to...
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BACKGROUND National authorities have to follow the evolution of diabetes to implement public health policies. An algorithm was developed to identify patients with treated type 2 diabetes and estimate its annual prevalence in Luxembourg using health insurance claims when no diagnosis code is available. METHODS The DIABECOLUX algorithm was based on patients' age as well as type and number of hy...
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Big data is usually defined as information assets characterized by such high volume, velocity, and variety that specific technology and analytical methods are required for its transformation into value.1 Analysis of big data may provide useful information in a variety of areas, including healthcare.2 Numbers of data sets obtained from routine operations in the area of healthcare have rapidly in...
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With the growing use of information technologies, an increased volume of data is produced in Public Health Surveillance, enabling utilization of new data sources and analysis methods. Public health and research will benefit from the use of data standards promoting harmonization and data description through metadata. No data standard has yet been universally accepted for exchanging public health...
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ژورنال
عنوان ژورنال: European Journal of Public Health
سال: 2014
ISSN: 1101-1262,1464-360X
DOI: 10.1093/eurpub/cku166.133