An animated multivariate visualization for physiological and clinical data in the ICU

Patricia Ordó̃ez, Marie DesJardins, Michael Lombardi, Christoph U. Lehmann, Jim Fackler

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

14 Scopus citations

Abstract

Current visualizations of electronic medical data in the Intensive Care Unit (ICU) consist of stacked univariate plots of variables over time and a tabular display of the current numeric values for the corresponding variables and occasionally an alarm limit. The value of information is dependent upon knowledge of historic values to determine a change in state. With the ability to acquire more historic information, providers need more sophisticated visualization tools to assist them in analyzing the data in a multivariate fashion over time. We present a multivariate time series visualization that is interactive and animated, and has proven to be as effective as current methods in the ICU for predicting an episode of acute hypotension in terms of accuracy, confidence, and efficiency with only 30-60 minutes of training.

Original languageEnglish (US)
Title of host publicationIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
Pages771-779
Number of pages9
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
Event1st ACM International Health Informatics Symposium, IHI'10 - Arlington, VA, United States
Duration: Nov 11 2010Nov 12 2010

Publication series

NameIHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Conference

Conference1st ACM International Health Informatics Symposium, IHI'10
CountryUnited States
CityArlington, VA
Period11/11/1011/12/10

Keywords

  • computational physiology
  • information visualization
  • multivariate
  • time series

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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  • Cite this

    Ordó̃ez, P., DesJardins, M., Lombardi, M., Lehmann, C. U., & Fackler, J. (2010). An animated multivariate visualization for physiological and clinical data in the ICU. In IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium (pp. 771-779). (IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium). https://doi.org/10.1145/1882992.1883109