A web-based system for infectious disease data integration and sharing: Evaluating outcome, task performance efficiency, user information satisfaction, and usability

Paul Jen Hwa Hu, Daniel Zeng, Hsinchun Chen, Catherine A. Larson, Chunju Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

To better support the surveillance of infectious disease and epidemic outbreaks by public health professionals, we design and implement BioPortal, an advanced Web-based system for cross-jurisdictional information sharing and integration. In this paper, we report two empirical studies that evaluate the outcomes, task performance efficiency, user information satisfaction, and usability associated with BioPortal. Overall, our results suggest that the use of BioPortal can improve users' surveillance performance as measured by analysis accuracy and efficiency (i.e., the amount of time required to complete an analysis task). Our subjects were highly satisfied with the information support of BioPortal and considered it reasonably usable. Our evaluation findings show the effectiveness and value of BioPortal and, at the same time, shed light on several areas where its design can further improve.

Original languageEnglish (US)
Title of host publicationIntelligence and Security Informatics
Subtitle of host publicationBiosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings
Pages134-146
Number of pages13
StatePublished - Dec 24 2007
Event2nd NSF BioSurveillance Workshop, BioSurveillance 2007 - New Brunswick, NJ, United States
Duration: May 22 2007May 22 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd NSF BioSurveillance Workshop, BioSurveillance 2007
CountryUnited States
CityNew Brunswick, NJ
Period5/22/075/22/07

Keywords

  • Cross-jurisdictional information sharing
  • Infectious disease informatics
  • Outbreak detection
  • Public health information systems
  • System evaluation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Hu, P. J. H., Zeng, D., Chen, H., Larson, C. A., & Tseng, C. (2007). A web-based system for infectious disease data integration and sharing: Evaluating outcome, task performance efficiency, user information satisfaction, and usability. In Intelligence and Security Informatics: Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings (pp. 134-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4506 LNCS).