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, Dajun 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages134-146
Number of pages13
Volume4506 LNCS
Publication statusPublished - 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)03029743
ISSN (Electronic)16113349

Other

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

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Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4506 LNCS, pp. 134-146). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4506 LNCS).