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

Anthony J. Faiola, Preethi Srinivas, Bradley N. Doebbeling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 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
Title of host publication2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
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

Conference

Conference17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
Country/TerritoryUnited States
CityBoston
Period10/13/1510/17/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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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