In-class use of the nu-case mobile telehealth system in a medical school

Carloni, Marcelo Ballaben; Cesario, Manuel; Cesario, Raquel Rangel; Luz, Saturnino; Margarido, Edson Alves; Masoodian, Masood; Pires, Daniel Facciolo

doi:10.1109/cbms.2013.6627835

Cited by 1 publication

(1 citation statement)

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“…Another interesting suggestion, was for the potential use of nu-view as a tool for Team Based Learning (a technique commonly employed in medical education), where the shared screen could be used to display student answers in a disease mapping context. This is similar to the use of our nu-case system (see Section 3), with which nu-view is integrated, for educational purposes [3].…”

Section: Resultsmentioning

confidence: 99%

nu-view

Masoodian

Luz

Kavenga

2016

Proceedings of the Australasian Computer Science Week Multiconference

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In general, many factors contribute to the spread of diseases among populations over large geographical areas. In practice, analysis of these factors typically requires expertise of multidisciplinary teams. In this paper, we present a visualization system which aims to support the visual analytics process involving multidisciplinary teams of analysts in colocated collaborative settings. The current prototype system allows coupled and decoupled modes of interaction, using a combination of personal visualizations on private small displays and group visualizations on a shared large display. We have conducted preliminary fieldwork and a review study of this prototype with a group of medical experts who have provided feedback on the current system and suggestions for other usage scenarios, as well as further improvements. We found that our target user group have a generally positive attitude towards the use of a shared display with support for the suggested interaction modes, even though these modes are substantially different from the way their groups currently conduct synchronous collaboration, and that additional support for sharing image and textual data over the geospatial data layer may be required.

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Section: Resultsmentioning

confidence: 99%