Authors:
Shenhui Jiang
1
;
Shiaofen Fang
1
;
Sam Bloomquist
1
;
Jeremy Keiper
1
;
Mathew Palakal
1
;
Yuni Xia
1
and
Shaun Grannis
2
Affiliations:
1
Indiana University Purdue University Indianapolis, United States
;
2
Indiana University School of Medicine, United States
Keyword(s):
Healthcare Data, Spatiotemporal Visualization, Geospatial Information Visualization, Data and Text Mining, Web-based Visualization Systems.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Visualization and Applications
;
Computer Vision, Visualization and Computer Graphics
;
General Data Visualization
;
Large Data Visualization
;
Spatial Data Visualization
;
Time-Dependent Visualization
Abstract:
Healthcare data visualization is challenging due to the needs for integrating geospatial information, temporal information, text information, and heterogenious health attributes within a common visual context. We recently developed a web-based healthcare data visualization system, Health-Terrain, based on a Notifiable Condition Detector (NCD) use case. In this paper, we will describe this system, with emphasis on the visualization techniques developed specifically for healthcare data. Two new visualization techniques will be described: (1) A spatial texture based visualization approach for multi-dimensional attributes and time-series data; (2) A spiral theme plot technique for visualizing time-variant patient data.