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  • 5 - Privacy Management in eHealth Using Contextual Consenting

  • from Part II - Trust and Design
  • Edited by Marcelo Corrales Compagnucci, University of Copenhagen, Michael Lowery Wilson, University of Turku, Finland, Mark Fenwick, Kyushu University, Japan, Nikolaus Forgó, Universität Wien, Austria, Till Bärnighausen, Universität Heidelberg
  • Book:
    AI in eHealth
    Published online:
    08 September 2022
    Print publication:
    15 September 2022, pp 125-146

  • Summary

    Sharing one’s health data with one’s doctor can be an important factor in improving one’s own health, and sharing the data for scientific research can help improve the everyone’s health. At the same time, health data is highly confidential, so the sharing process must provide sufficient control over one’s privacy. Legally, sharing is often based on consent, which theoretically affords extensive individual control, but in practice often requires processing complicated information. Therefore, the way the consenting process is implemented plays a significant role in either hindering or helping the individual. This chapter explores how individuals’ ability to make informed consent decisions can be simplified by utilising AI-based recommendations with the consent intermediary approach and by making the consenting decisions in the context of utilising the health data thus making the individuals more aware of the data they are sharing.