Common Ground: An Interactive Visual Exploration and Discovery for Complex Health Data.

摘要

The overarching objective of this work is to develop a novel, user-centric visual paradigm to enhance situational awareness by providing an effective visualization of large, complex and heterogeneous population health data. Presently, users of complex health data are overwhelmed with charts, graphs, tables and maps. Our goal is to develop a novel health data weather map visualization prototype that provides a dynamic, interactive presentation of complex healthcare data. We received IRB approvals from TATRC, University of Utah and Intermountain Healthcare in September of 2013. We signed a data share agreement with Intermountain Healthcare and expect to receive initial limited dataset by May 2014. To elucidated design objectives and inform the visual interface design, we use methods of cognitive task analysis and conducted structured observations and contextual interviews with practicing, front-line public health epidemiologists working at the State and local health departments in Utah. We developed a graph-based database that is specifically tailored for this project and installed an intermediate dataset that represent the data we expect to get from Intermountain Healthcare. We began work on a special purpose ontology that will be used to describe data and annotate other ontologies for the visual interface client. Finally, we are actively working on software development of both a backend server and the advance web-based visual analytics display.