ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool

Egileak: Mikel Garmendia Gorka Epelde Unanue Beñat Zabala Zubiaga Aurora María Sucre Rodríguez Arantxa Etxeberria Gerardo Cajaraville Jon Belloso José Luengo Soraya Camarero

Data: 22.02.2019


Abstract

This paper presents a medical oncology follow-up visualisation tool developed following a co-design approach. The co-design and development of the solution has succeed involving a team of end-users (oncologists and nurses), UX and design experts and technology development experts. As a result, a medical oncology follow-up visualisation solution has been developed showing temporally aligned heterogeneous health data. The outcome of the co-design process has been to develop the solution in four different aggregation level views; (1) General timeline overview, (2) Medication treatment cycle view, (3) Detailed patient reported outcome / bloodwork’s’ view and (4) Medical image analysis focussed view.

BIB_text

@Article {
title = {ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool},
keywds = {
Co-design, Medical Oncology, Aligned Visualisation, Heterogeneous Data Sources
}
abstract = {

This paper presents a medical oncology follow-up visualisation tool developed following a co-design approach. The co-design and development of the solution has succeed involving a team of end-users (oncologists and nurses), UX and design experts and technology development experts. As a result, a medical oncology follow-up visualisation solution has been developed showing temporally aligned heterogeneous health data. The outcome of the co-design process has been to develop the solution in four different aggregation level views; (1) General timeline overview, (2) Medication treatment cycle view, (3) Detailed patient reported outcome / bloodwork’s’ view and (4) Medical image analysis focussed view.


}
isbn = {978-989-758-353-7},
date = {2019-02-22},
}
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