BMC Med Inform Decis Mak - Summary of data reported to CDC's national automated biosurveillance system, 2008.

Tópicos

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Resumo

CKGROUND: BioSense is the US national automated biosurveillance system. Data regarding chief complaints and diagnoses are automatically pre-processed into 11 broader syndromes (e.g., respiratory) and 78 narrower sub-syndromes (e.g., asthma). The objectives of this report are to present the types of illness and injury that can be studied using these data and the frequency of visits for the syndromes and sub-syndromes in the various data types; this information will facilitate use of the system and comparison with other systems.METHODS: For each major data source, we summarized information on the facilities, timeliness, patient demographics, and rates of visits for each syndrome and sub-syndrome.RESULTS: In 2008, the primary data sources were the 333 US Department of Defense, 770 US Veterans Affairs, and 532 civilian hospital emergency department facilities. Median times from patient visit to record receipt at CDC were 2.2 days, 2.0 days, and 4 hours for these sources respectively. Among sub-syndromes, we summarize mean 2008 visit rates in 45 infectious disease categories, 11 injury categories, 7 chronic disease categories, and 15 other categories.CONCLUSIONS: We present a systematic summary of data that is automatically available to public health departments for monitoring and responding to emergencies.

Resumo Limpo

ckground biosens us nation autom biosurveil system data regard chief complaint diagnos automat preprocess broader syndrom eg respiratori narrow subsyndrom eg asthma object report present type ill injuri can studi use data frequenc visit syndrom subsyndrom various data type inform will facilit use system comparison systemsmethod major data sourc summar inform facil timeli patient demograph rate visit syndrom subsyndromeresult primari data sourc us depart defens us veteran affair civilian hospit emerg depart facil median time patient visit record receipt cdc day day hour sourc respect among subsyndrom summar mean visit rate infecti diseas categori injuri categori chronic diseas categori categoriesconclus present systemat summari data automat avail public health depart monitor respond emerg

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