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Impact Evaluation of an Emerging European Health Project – the MIDAS Model

Author

Listed:
  • Connolly Justin

    (Dublin City University,Ireland)

  • Staines Anthony

    (Dublin City University,Ireland)

  • Connolly Regina

    (Dublin City University,Ireland)

  • Davis Paul

    (Dublin City University,Ireland)

  • Boilson Andrew

    (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.

Suggested Citation

  • Connolly Justin & Staines Anthony & Connolly Regina & Davis Paul & Boilson Andrew, 2020. "Impact Evaluation of an Emerging European Health Project – the MIDAS Model," Business Systems Research, Sciendo, vol. 11(1), pages 142-150, March.
    • Handle: RePEc:bit:bsrysr:v:11:y:2020:i:1:p:142-150:n:10
    DOI: 10.2478/bsrj-2020-0010
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    References listed on IDEAS

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    1. Nick Hicks, 2017. "Delivering an Outcomes-based NHS: Creating the Right Conditions," Seminar Briefing 001804, Office of Health Economics.
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    1. Connolly, Justin & Staines, Anthony & Connolly, Regina & Boilson, Andrew & Davis, Paul & Weston, Dale & Bloodworth, Natasha, 2018. "Evaluating Impact of an Emerging Big Health Data Platform: A Logic Model and Q-Methodology Approach," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2018), Split, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018, pages 127-133, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.

    More about this item

    Keywords

    MIDAS; health-based project; decision support systems; data mining;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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