By Topic

A biointelligence system for identifying potential disease outbreaks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xiaohui Zhang ; Sci. Technol. Corp., Tucson, AZ, USA ; Fiedler, R. ; Popovich, M.

The development of public health surveillance systems requires multidisciplinary knowledge and advanced technologies. Scientific Technologies Corp. has developed the NH Pharmaceutical Sales Surveillance (NHPSS) for the New Hampshire Department of Health and Human Services (NH DHHS). The NHPSS was developed as a distributed information system. In addition to the database server, enterprise application servers and the Web-browser-based user interface, its architecture features knowledgebase technology, a new dynamic system model with rule systems, and automated data analysis in supporting public health surveillance. Internet mapping was also embedded in the system to provide for spatial analysis. Since its pilot application, started in December of 2002 in the Bureau of Communicable Disease Control and Surveillance, NH DHHS, the NHPSS has assisted NH DHHS in successful detections of gastrointestinal and respiratory events. This article first introduces the methodology and the technology in the NHPSS development. Next, the system functionalities are introduced. Then, a new dynamic system model with a rule system for public health surveillance is described in detail. Finally its application and preliminary results are summarized.

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:23 ,  Issue: 1 )