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

1 Citation (Scopus)

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 (Print)9781467383257
DOIs
StatePublished - Apr 15 2016
Event17th International Conference on E-Health Networking, Application and Services, HealthCom 2015 - Boston, United States
Duration: Oct 13 2015Oct 17 2015

Other

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

Fingerprint

Intensive care units
Data visualization
visualization
Intensive Care Units
Loads (forces)
Visualization
Workflow
Electronic Health Records
Patient Safety
Electronic medical equipment
Communication
information flow
workflow
Technology
Equipment and Supplies
assistant
functionality
Systems analysis
electronics
interpretation

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)

Cite this

Faiola, A. J., Srinivas, P., & Doebbeling, B. (2016). A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load. In 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015 (pp. 439-442). [7454540] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HealthCom.2015.7454540

A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load. / Faiola, Anthony J.; Srinivas, Preethi; Doebbeling, Bradley.

2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 439-442 7454540.

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

Faiola, AJ, Srinivas, P & Doebbeling, B 2016, A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load. in 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015., 7454540, Institute of Electrical and Electronics Engineers Inc., pp. 439-442, 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015, Boston, United States, 10/13/15. https://doi.org/10.1109/HealthCom.2015.7454540
Faiola AJ, Srinivas P, Doebbeling B. A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load. In 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 439-442. 7454540 https://doi.org/10.1109/HealthCom.2015.7454540
Faiola, Anthony J. ; Srinivas, Preethi ; Doebbeling, Bradley. / A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load. 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 439-442
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