Syndromic Surveillance Using Automated Collection of Computerized Discharge Diagnoses

Authors: Lober, W.B.1; Trigg, L.J.1; Karras, B.T.1; Bliss, D.1; Ciliberti, J.1; Stewart, L.1; Duchin, J.S.1

Source: Journal of Urban Health: Bulletin of the New York Academy of Medicine, Volume 80, Supplement 1, June 2003 , pp. i97-i106(1)

Publisher: Springer

Key:
Free Content - Free Content
New Content - New Content
Subscribed Content - Subscribed Content
Free Trial Content - Free Trial Content

Abstract:

The Syndromic Surveillance Information Collection (SSIC) system aims to facilitate early detection of bioterrorism attacks (with such agents as anthrax, brucellosis, plague, Q fever, tularemia, smallpox, viral encephalitides, hemorrhagic fever, botulism toxins, staphylococcal enterotoxin B, etc.) and early detection of naturally occurring disease outbreaks, including large foodborne disease outbreaks, emerging infections, and pandemic influenza. This is accomplished using automated data collection of visit-level discharge diagnoses from heterogeneous clinical information systems, integrating those data into a common XML (Extensible Markup Language) form, and monitoring the results to detect unusual patterns of illness in the population. The system, operational since January 2001, collects, integrates, and displays data from three emergency department and urgent care (ED/UC) departments and nine primary care clinics by automatically mining data from the information systems of those facilities. With continued development, this system will constitute the foundation of a population-based surveillance system that will facilitate targeted investigation of clinical syndromes under surveillance and allow early detection of unusual clusters of illness compatible with bioterrorism or disease outbreaks.

Keywords: Biological warfare; Bioterrorism; Data collection; Database; Informatics; Information systems; Sentinel surveillance

Document Type: Original article

Affiliations: 1: Dr. Lober, Ms. Trigg, Dr. Karras, and Mr. Bliss are with the Clinical Informatics Research Group, University of Washington, Seattle; Ms. Stewart and Dr. Duchin are with Public Health—Seattle and King County, Seattle, Washington; and Dr. Ciliberti is with the Overlake Hospital Medical Center, Bellevue, Washington.

The full text electronic article is available for purchase. You will be able to download the full text electronic article after payment.

$47.00 plus tax      Refund Policy

 

OR

Back to top

Key:
Free Content - Free Content
New Content - New Content
Subscribed Content - Subscribed Content
Free Trial Content - Free Trial Content
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages.
Page Help Click here for Page Help
Shopping cart
Tools
Sign in






Need to register?
Sign up here
Text size: A | A | A | A