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Data Visualization

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Abstract

The development of neurocritical care informatics is essential to improving patient care for critically ill neurological patients. The wealth of data available in the neurointensive care unit, however, creates a challenge for healthcare professionals who must turn this mass of data into useful information that will lead to more informed healthcare decisions. Data visualization is essential to achieving this but ultimately must be combined with data analysis to facilitate specific treatment decisions and provide clinicians with situational awareness regarding patient state. Utilizing cognitive work analysis methodologies to develop and test data visualizations for clinical decision support enhances its usability reduces the likelihood of failed implementation due to non-technology or human factors.

The best visualization tools will find an effective balance among clinical, analytic, and usability factors to enable optimal performance at the bedside.

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Author information

Authors and Affiliations

  1. NationBuilder, Los Angeles, CA, USA

    J. Michael Schmidt

  2. Information and Decisions Systems, Draper Laboratory, Cambridge, MA, USA

    John M. Irvine

  3. Watson Health at IBM, Cambridge, MA, USA

    Sarah Miller

Authors
  1. J. Michael Schmidt
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  2. John M. Irvine
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  3. Sarah Miller
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Corresponding author

Correspondence to J. Michael Schmidt .

Editor information

Editors and Affiliations

  1. University Hospitals Cleveland Medical Center, Cleveland, OH, USA

    Michael De Georgia

  2. Case Western Reserve University, Cleveland, OH, USA

    Kenneth Loparo

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Schmidt, J.M., Irvine, J.M., Miller, S. (2020). Data Visualization. In: De Georgia, M., Loparo, K. (eds) Neurocritical Care Informatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59307-3_7

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  • DOI: https://doi.org/10.1007/978-3-662-59307-3_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-59305-9

  • Online ISBN: 978-3-662-59307-3

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