Original scientific paper
https://doi.org/10.2478/bsrj-2020-0010
Impact Evaluation of an Emerging European Health Project – the MIDAS Model
Justin Connolly
; Dublin City University, Ireland
Anthony Staines
orcid.org/0000-0001-9161-1357
; Dublin City University, Ireland
Regina Connolly
orcid.org/0000-0003-3196-2889
; Dublin City University, Ireland
Paul Davis
; Dublin City University, Ireland
Andrew Boilson
; Dublin City University, Ireland
Abstract
Background: This paper describes the impact evaluation of a large big data platform initiative that is being undertaken in order to increase the probability of its success. The initiative, MIDAS (Meaningful Integration of Data Analytics and Services), is a European health-based Horizon 2020 project comprising a consortium of members from various universities, research institutions, and government agencies. Objectives: The purpose of the paper is to present a pioneering platform that will support healthcare policymakers in their decision-making by enabling greater and more efficient use of their data. The goal is to present and evaluate the results of the MIDAS project across four countries. Methods/Approach: The literature is replete with examples of worthwhile technology projects that have failed due to user resistance. In order to avoid such failure, and ensure the success of the final MIDAS platform, a detailed impact evaluation is being undertaken at timed periods of development. Results: This paper describes the impact evaluation process, outlining the use of Q-methodology and the development of a 36-item concourse using the HTMLQ system for that purpose. Conclusions: This research contributes to the overall understanding of how impact evaluation can be undertaken at timed periods during the development of an innovative technology for organisational purposes.
Keywords
MIDAS; health-based project; decision support systems; data mining
Hrčak ID:
236279
URI
Publication date:
28.3.2020.
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