@inproceedings{a165d17ca975411aa57c8e712b60260d,
title = "A ubiquitous situation-aware data visualization dashboard to reduce ICU clinician cognitive load",
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.",
keywords = "clinical decision making, clinical informatics, clinical workflow, cognitive load, data visualization, electronic medical record, healthcare, intensive care unit, usability",
author = "Faiola, {Anthony J.} and Preethi Srinivas and Bradley Doebbeling",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015 ; Conference date: 13-10-2015 Through 17-10-2015",
year = "2015",
doi = "10.1109/HealthCom.2015.7454540",
language = "English (US)",
series = "2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "439--442",
booktitle = "2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015",
}