PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System
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PADE : Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System. / Knudsen, Søren; Hornbæk, Kasper.
2019 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2019. IEEE, 2019. p. 9-16 8945039.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - PADE
T2 - 10th IEEE Workshop on Visual Analytics in Healthcare, VAHC 2019
AU - Knudsen, Søren
AU - Hornbæk, Kasper
PY - 2019
Y1 - 2019
N2 - We present PADE, a visual analytics tool for collaboratively exploring data from patient administrative systems on large touch displays in meeting contexts. Large touch displays are becoming commercially available, but we have limited knowledge about how they might be used in such a context. We designed PADE based on inquiries with healthcare data analysts tasked with understanding expenses in a healthcare system that serve about six million residents. Our goals in designing the system were to enable the analysts to collaboratively construct hypotheses, quickly generate and execute strategies, and support ad hoc discussions and QA sessions during meetings. We created a set of interaction techniques that let users create new visualizations and combine parts of existing ones. We illustrate these possibilities through a collaborative analysis scenario. Finally, we discuss the possibilities and limitations of PADE, its interaction techniques, and future work in this direction.
AB - We present PADE, a visual analytics tool for collaboratively exploring data from patient administrative systems on large touch displays in meeting contexts. Large touch displays are becoming commercially available, but we have limited knowledge about how they might be used in such a context. We designed PADE based on inquiries with healthcare data analysts tasked with understanding expenses in a healthcare system that serve about six million residents. Our goals in designing the system were to enable the analysts to collaboratively construct hypotheses, quickly generate and execute strategies, and support ad hoc discussions and QA sessions during meetings. We created a set of interaction techniques that let users create new visualizations and combine parts of existing ones. We illustrate these possibilities through a collaborative analysis scenario. Finally, we discuss the possibilities and limitations of PADE, its interaction techniques, and future work in this direction.
KW - Human-centered computing
KW - Information visualization
KW - Interaction techniques
KW - Large displays
KW - multi-touch
KW - multiple views
KW - Visualization systems and tools
U2 - 10.1109/VAHC47919.2019.8945039
DO - 10.1109/VAHC47919.2019.8945039
M3 - Article in proceedings
AN - SCOPUS:85078203338
SP - 9
EP - 16
BT - 2019 IEEE Workshop on Visual Analytics in Healthcare, VAHC 2019
PB - IEEE
Y2 - 20 October 2019
ER -
ID: 241598162