| Literature DB >> 31741726 |
Manu Mathew Thomas1, Thomas Kannampallil2, Joanna Abraham3, G Elisabeta Marai1.
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.Entities:
Keywords: ICU care transition; collaborative decision making; large display visualization; shared cognition
Year: 2017 PMID: 31741726 PMCID: PMC6860975 DOI: 10.1109/VAHC.2017.8387500
Source DB: PubMed Journal: 2017 IEEE Workshop Vis Anal Healthc VAHC (2017)