Supporting Clinical Cognition: A Human-Centered Approach to a Novel ICU Information Visualization Dashboard

Anthony Faiola, Preethi Srinivas, Jon Duke

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Advances in intensive care unit bedside displays/interfaces and electronic medical record (EMR) technology have not adequately addressed the topic of visual clarity of patient data/information to further reduce cognitive load during clinical decision-making. We responded to these challenges with a human-centered approach to designing and testing a decision-support tool: MIVA 2.0 (Medical Information Visualization Assistant, v.2). Envisioned as an EMR visualization dashboard to support rapid analysis of real-time clinical data-trends, our primary goal originated from a clinical requirement to reduce cognitive overload. In the study, a convenience sample of 12 participants were recruited, in which quantitative and qualitative measures were used to compare MIVA 2.0 with ICU paper medical-charts, using time-on-task, post-test questionnaires, and interviews. Findings demonstrated a significant difference in speed and accuracy with the use of MIVA 2.0. Qualitative outcomes concurred, with participants acknowledging the potential impact of MIVA 2.0 for reducing cognitive load and enabling more accurate and quicker decision-making.

Original languageEnglish
Pages (from-to)560-569
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2015
StatePublished - 2015

ASJC Scopus subject areas

  • General Medicine

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