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An Empirical Study of Information Visualization for Decision Support in an Emergency Department Information System

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Advances in Human Factors and Ergonomics in Healthcare and Medical Devices (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 957))

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Abstract

Emergency departments collect large amounts of data to make decisions regarding patient care. Implementation of decision support tools with information visualization (IV) techniques in Emergency Department Information System (EDIS) is difficult to achieve and thus an evaluation of the techniques is needed. The purpose of this study is to conduct a usability study of various IV techniques in EDIS and provide recommendations for developers. Fifty-nine participants were recruited in this study. Results indicate the density chart, tree map, and network diagram have lower times, higher usability scores, and lower mental workload ratings than the 3D scatter plot, scatter plot matrix, and parallel coordinates. Findings of this study can provide insights for the development of information visualization tools to support decision making in an emergency department information system.

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Acknowledgments

This research is partially supported by the Title III HBGI PhD Fellowship program at North Carolina A&T State University.

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Authors and Affiliations

  1. Intel Corporation, 2821 Mission College Blvd., Santa Clara, CA, USA

    Quaneisha Jekins-Penha

  2. Department of Industrial and Systems Engineering, North Carolina A&T State University, 1601 E Market St, Greensboro, NC, 27411, USA

    Steven Jiang

Authors
  1. Quaneisha Jekins-Penha
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  2. Steven Jiang
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Corresponding author

Correspondence to Steven Jiang .

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Editors and Affiliations

  1. Veterans Affairs - Center for Applied Systems Engineering, Indianapolis, IN, USA

    Nancy J. Lightner

  2. Department of Pathology, College of Medicine, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada

    Jay Kalra

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Jekins-Penha, Q., Jiang, S. (2020). An Empirical Study of Information Visualization for Decision Support in an Emergency Department Information System. In: Lightner, N., Kalra, J. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2019. Advances in Intelligent Systems and Computing, vol 957. Springer, Cham. https://doi.org/10.1007/978-3-030-20451-8_13

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  • DOI: https://doi.org/10.1007/978-3-030-20451-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20450-1

  • Online ISBN: 978-3-030-20451-8

  • eBook Packages: EngineeringEngineering (R0)

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