Document Detail


Collection and integration of clinical data for surveillance.
MedLine Citation:
PMID:  15361005     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: The syndromic surveillance project at Public Health-Seattle & King County incorporates several data sources, including emergency department and primary care visit data collected and normalized through an automated mechanism. We describe significant changes made in this "second generation" of our system to improve data quality while complying with privacy and state public health reporting regulations. METHODS/RESULTS: The system uses de-identified visit and patient numbers to assure data accuracy, while shielding patient identity. Presently, we have 124,000 basic visit records (used to generate stratified denominators), and 29,000 surveillance records, from four emergency departments and a primary care clinic network. The system is capable of producing syndrome-clustered data sets for analysis. DISCUSSION: We have incorporated data collection techniques such as automated querying, report parsing, and HL7 electronic data interchange. We are expanding the system to include greater population coverage, and developing an understanding how to implement data collections more rapidly at individual hospital sites, as well as how best to prepare the data for analysis.
Authors:
William B Lober; Atar Baer; Bryant T Karras; Jeffery S Duchin
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  107     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2004  
Date Detail:
Created Date:  2004-09-13     Completed Date:  2005-06-10     Revised Date:  2008-07-10    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1211-5     Citation Subset:  IM    
Affiliation:
Biomedical & Health Informatics, School of Medicine, University of Washington, Seattle, USA. lober@u.washington.edu
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MeSH Terms
Descriptor/Qualifier:
Automatic Data Processing
Bioterrorism*
Computer Systems
Data Collection / methods*,  standards
Disease Notification / methods,  standards
Disease Outbreaks*
Emergency Service, Hospital
Humans
Population Surveillance / methods*
Public Health Informatics / methods*,  standards
Software Design
Washington
Grant Support
ID/Acronym/Agency:
U90/CCU017010-02/CC/CDC HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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