Meaningful Integration of Data Analytics and Services in MIDAS Project: Engaging Users in the Co-Design of a Health Analytics Platform

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Authors: Brian Cleland Jonathan Wallace Raymond Bond Maurice Mulvenna Deborah Rankin Julius Francis Gomes Peter Connolly Susan Campbell

Date: 02.07.2018

Abstract

This paper outlines the scope and aims of the MIDAS Project, a Horizon 2020-funded initiative to develop a data analytics platform to support better policy-making in the European health sector. It focuses specifically on the engagement of users in the co-design of the platform, and describes a participatory workshop which encouraged stakeholders to share their understanding of the problem
to be addressed and insights into potential solutions. The major elements of the workshop are described and the key results are presented. Participant feedback is analysed and the main lessons and insights are highlighted, including the importance of an adopting an iterative approach to user engagement in software design and development.

BIB_text

@Article {
title = {Meaningful Integration of Data Analytics and Services in MIDAS Project: Engaging Users in the Co-Design of a Health Analytics Platform},
keywds = {
Big data, data analytics, health, health policy, user-centred design, co-design, agile development
}
abstract = {

}
doi = {10.14236/ewic/HCI2018.169},
date = {2018-07-02},
}