Abstract

One of the significant challenges of care transitions in Intensive Care Units (ICUs) is the lack of effective support tools for outgoing clinicians to find, filter, organize, and annotate information that can be effectively handed off to the incoming team. We present a large display interactive multivariate visual approach, aimed towards supporting clinicians during the transition of care. We first provide a characterization of the problem domain in terms of data and tasks, based on an observation session at the University of Illinois Hospital, and on interviews with several biomedical researchers and ICU clinicians. Informed by this experience, we design a scalable, interactive visual approach that supports both overview and detail views of ICU patient data, as well as anomaly detection, comparison, and annotation of the data. We demonstrate a large-display implementation of the visualization on an existing anonymized ICU dataset. Feedback from domain experts indicates this approach successfully meets the requirements of effective care transitions.

Original languageEnglish
Title of host publication2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-54
Number of pages8
ISBN (Electronic)9781538631874
DOIs
StatePublished - Jun 15 2018
Event8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017 - Phoenix, United States
Duration: Oct 1 2017 → …

Publication series

Name2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017

Conference

Conference8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
Country/TerritoryUnited States
CityPhoenix
Period10/1/17 → …

Keywords

  • ICU care transition
  • collaborative decision making
  • large display visualization
  • shared cognition

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