PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System

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dc.contributor.authorKnudsen, Søren
dc.contributor.authorHornbæk, Kasper
dc.date.accessioned2020-12-01T15:53:58Z
dc.date.available2020-12-01T15:53:58Z
dc.date.issued2019-10
dc.descriptionThis project was funded in part by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 753816en_US
dc.description.abstractWe 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 Q&A 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.en_US
dc.description.grantingagencyOtheren_US
dc.identifier.citationKnudsen, S., & Hornbæk, K. (2019). PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System. "2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)" conference paper. pp. 1-8. http://dx.doi.org/10.1109/VAHC47919.2019.8945039en_US
dc.identifier.doihttp://dx.doi.org/10.1109/VAHC47919.2019.8945039en_US
dc.identifier.grantnumber753816en_US
dc.identifier.urihttp://hdl.handle.net/1880/112796
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.publisher.departmentComputer Scienceen_US
dc.publisher.facultyScienceen_US
dc.publisher.hasversionacceptedVersionen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.publisher.institutionUniversity of Copenhagenen_US
dc.relation.ispartofseries2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)en_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectlarge displaysen_US
dc.subjectmultiple viewsen_US
dc.subjectmulti-touchen_US
dc.titlePADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display Systemen_US
dc.typeconference paperen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelOtheren_US
ucalgary.scholar.levelFacultyen_US
ucalgary.scholar.levelGraduateen_US
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This video shows how the PADE system might be used to conduct data analyses. It complements the paper by showing a temporal perspective on the interaction techniques presented in the paper. First, it shows individual interaction techniques. Secondly, it shows a small analysis that seeks to illustrate the distribution of male and female admissions across hospitals in the capital region. Finally, it shows the analysis that is described in Section 5 of the paper.
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