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Authors: Mikel Garmendia 1 ; Gorka Epelde 1 ; Beñat Zabala 1 ; Aurora Sucre 1 ; Arantxa Etxeberria 2 ; Gerardo Cajaraville 2 ; Jon Belloso 2 ; José Fernando Luengo 3 and Soraya Camarero 3

Affiliations: 1 Vicomtech, Mikeletegi Pasealekua, 57, 20009, Donostia-San Sebastian and Spain ; 2 Onkologikoa Foundation, Doctor Begiristain Pasealekua, 121, 20014, Donostia-San Sebastián and Spain ; 3 Dominion, Ibáñez de Bilbao Kalea, 28, 48009 Bilbao and Spain

Keyword(s): Co-design, Medical Oncology, Aligned Visualisation, Heterogeneous Data Sources.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Data Management and Quality ; Data Manipulation ; Data Visualization ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Health Information Systems ; Healthcare Management Systems ; Human-Machine Interfaces ; Informatics in Control, Automation and Robotics ; Knowledge-Based Systems ; Robotics and Automation ; Sensor Networks ; Symbolic Systems

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.

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Paper citation in several formats:
Garmendia, M.; Epelde, G.; Zabala, B.; Sucre, A.; Etxeberria, A.; Cajaraville, G.; Belloso, J.; Luengo, J. and Camarero, S. (2019). ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 190-198. DOI: 10.5220/0007250101900198

@conference{healthinf19,
author={Mikel Garmendia. and Gorka Epelde. and Beñat Zabala. and Aurora Sucre. and Arantxa Etxeberria. and Gerardo Cajaraville. and Jon Belloso. and José Fernando Luengo. and Soraya Camarero.},
title={ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF},
year={2019},
pages={190-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007250101900198},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - HEALTHINF
TI - ONKOVIS, Co-designed Oncology Follow-up Visualisation Tool
SN - 978-989-758-353-7
IS - 2184-4305
AU - Garmendia, M.
AU - Epelde, G.
AU - Zabala, B.
AU - Sucre, A.
AU - Etxeberria, A.
AU - Cajaraville, G.
AU - Belloso, J.
AU - Luengo, J.
AU - Camarero, S.
PY - 2019
SP - 190
EP - 198
DO - 10.5220/0007250101900198
PB - SciTePress