TY - GEN
T1 - Patient-provider geographic map
T2 - 8th Annual IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
AU - Yu, Zhongyuan
AU - Pepe, Kara
AU - Rust, George
AU - Ramirez-Marquez, Jose Emmanuel
AU - Zhang, Shun
AU - Bonnet, Bryan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/6/15
Y1 - 2018/6/15
N2 - Advanced data visualization tools have the potential to transform raw healthcare data into actionable insights that improve patient care. This paper introduces a visualization framework to aid healthcare policy-makers and hospital administrators to visualize, identify, and optimize the geographic variations of access to care. The Patient-Provider Geographic Map provides multiple concurrent interactive choropleth maps with the capabilities of also filtering and displaying aggregated patient and provider layers. It allows users to collaborate and explore health care providers' catchment area, and the accessibility for local residents. Ideally, users interact with several interactive visualizations concurrently in a large-scale immersive environment. This unique approach enables non-technically oriented stakeholders a data immersion experience that greatly increases their comfort levels with data-driven decision making.
AB - Advanced data visualization tools have the potential to transform raw healthcare data into actionable insights that improve patient care. This paper introduces a visualization framework to aid healthcare policy-makers and hospital administrators to visualize, identify, and optimize the geographic variations of access to care. The Patient-Provider Geographic Map provides multiple concurrent interactive choropleth maps with the capabilities of also filtering and displaying aggregated patient and provider layers. It allows users to collaborate and explore health care providers' catchment area, and the accessibility for local residents. Ideally, users interact with several interactive visualizations concurrently in a large-scale immersive environment. This unique approach enables non-technically oriented stakeholders a data immersion experience that greatly increases their comfort levels with data-driven decision making.
KW - Access to Care
KW - Decision Support
KW - Geospatial visualization
KW - Healthcare data
KW - Medicaid
UR - http://www.scopus.com/inward/record.url?scp=85050080185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050080185&partnerID=8YFLogxK
U2 - 10.1109/VAHC.2017.8387494
DO - 10.1109/VAHC.2017.8387494
M3 - Conference contribution
AN - SCOPUS:85050080185
T3 - 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
SP - 1
EP - 8
BT - 2017 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017
Y2 - 1 October 2017
ER -