作者: William B Lober , Atar Baer , Bryant T Karras , Jeffery S Duchin , None
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摘要: Objective: The syndromic surveillance project at Public Health – Seattle & King County incorporates several data sources, including emergency department and primary care visit collected normalized through an automated mechanism. We describe significant changes made in this “second generation” of our system to improve quality while complying with privacy state public health reporting regulations. Methods/Results: uses de-identified patient numbers assure accuracy, shielding identity. Presently, we have 124,000 basic records (used generate stratified denominators), 29,000 records, from four departments a clinic network. is capable producing syndrome-clustered sets for analysis. Discussion : incorporated collection techniques such as querying, report parsing, HL7 electronic interchange. are expanding the include greater population coverage, developing understanding how implement collections more rapidly individual hospital sites, well best prepare