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5 - Privacy Management in eHealth Using Contextual Consenting

from Part II - Trust and Design

Published online by Cambridge University Press:  08 September 2022

By
Yki Kortesniemi  and
Päivi Pöyry-Lassila
Edited by
Marcelo Corrales Compagnucci ,
Michael Lowery Wilson ,
Mark Fenwick ,
Nikolaus Forgó  and
Till Bärnighausen
Marcelo Corrales Compagnucci
Affiliation:
University of Copenhagen
Michael Lowery Wilson
Affiliation:
University of Turku, Finland
Mark Fenwick
Affiliation:
Kyushu University, Japan
Nikolaus Forgó
Affiliation:
Universität Wien, Austria
Till Bärnighausen
Affiliation:
Universität Heidelberg
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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.

Keywords

consentcontextual consentingconsent intermediaryprivacyeHealthAI
Type
Chapter
Information
AI in eHealth
Human Autonomy, Data Governance and Privacy in Healthcare
 , pp. 125 - 146
Publisher: Cambridge University Press
Print publication year: 2022

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