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.