“MyData” in public health decisions: potential for European states

J. Francis Gomes, J. Pääkkönen, Marika Iivari, Minna Pikkarainen

    Research output: Contribution to conferenceConference articleScientificpeer-review

    Abstract

    MyData as a human-centric personal data management model is recognized across domains within academia and industry as a business enabler. Yet, the potential of MyData is ill-explored for public health decisions and policy making. This working paper attempts to address this research gap in three ways. First, by understanding the value of personal granular data in public health decision making. Second, by identifying key features of services which will foster mass acceptance of MyData services; and, how individuals can be encouraged to allow access to their MyData for public health decision making. Third, by developing a technology acceptance model which will provide a framework for further development before mass deployment.
    Original languageEnglish
    Publication statusPublished - 2018
    MoE publication typeNot Eligible
    Event9th Annual European Decision Sciences Conference, EDSI 2018 - Udine, Italy
    Duration: 3 Jun 20186 Jun 2018

    Conference

    Conference9th Annual European Decision Sciences Conference, EDSI 2018
    Abbreviated titleEuropean DSI
    CountryItaly
    CityUdine
    Period3/06/186/06/18

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  • Cite this

    Francis Gomes, J., Pääkkönen, J., Iivari, M., & Pikkarainen, M. (2018). “MyData” in public health decisions: potential for European states. Paper presented at 9th Annual European Decision Sciences Conference, EDSI 2018, Udine, Italy.