A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load

Anthony J. Faiola, Preethi Srinivas, Bradley Doebbeling

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

    4 Scopus citations

    Abstract

    Hospital intensive care unit (ICU) bedside devices and electronic medical record (EMR) technology do not yet adequately address the visualization of patient data in the context of cognitive overload and its impact on patient safety. We respond to these challenges through the design of a novel visualization dashboard for use in the ICU: MIVA 2.0 (Medical Information Visualization Assistant, v.2). MIVA 2.0 is designed to support rapid analysis and interpretation of real-time clinical data-trends and communication for clinical work and information flow. This paper describes the system design, functionality, and prior studies of MIVA 2.0.

    Original languageEnglish (US)
    Title of host publication2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages439-442
    Number of pages4
    ISBN (Electronic)9781467383257
    DOIs
    StatePublished - 2015
    Event17th International Conference on E-Health Networking, Application and Services, HealthCom 2015 - Boston, United States
    Duration: Oct 13 2015Oct 17 2015

    Publication series

    Name2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015

    Other

    Other17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
    Country/TerritoryUnited States
    CityBoston
    Period10/13/1510/17/15

    Keywords

    • clinical decision making
    • clinical informatics
    • clinical workflow
    • cognitive load
    • data visualization
    • electronic medical record
    • healthcare
    • intensive care unit
    • usability

    ASJC Scopus subject areas

    • Health Policy
    • Health Information Management
    • Computer Networks and Communications
    • Computer Science Applications
    • Health Informatics
    • Surgery
    • Health(social science)

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