Video
BibTex
@inproceedings{Tanvir:2021:10.20380/GI2021.26,
author = {Tanvir, Rabia and Chignell, Mark and Fels, Deborah},
title = {Exploring Alternative Methods of Visualizing Patient Data},
booktitle = {Proceedings of Graphics Interface 2021},
series = {GI 2021},
year = {2021},
issn = {0713-5424},
isbn = {978-0-9947868-6-9},
location = {Virtual Event},
pages = {229 -- 236},
numpages = {8},
doi = {10.20380/GI2021.26},
publisher = {Canadian Information Processing Society},
}
Abstract
Patient data visualization can help healthcare providers gain an overview of their patient's condition and assist in decision-making about the next steps on management and communication. We explore the acceptance and opinion of five different visualizations that can be used to summarize patient data, including a Text Summary, text and frequency-based Word Cloud, a Bar Graph, a time-based Line Graph and a newly developed Text Graph that combines text and time-based distribution. Results from a user study with 15 professional healthcare providers, 16 firstor secondyear medical students, and 17 third or greater year medical students show that most visualizations are useful in extracting patient information and are received positively by the users. In addition, Text Summary and Text Graph are rated to be the most useful visualizations in extracting patient health information.