Privacy Management in eHealth Using Contextual Consenting

Yki Kortesniemi, Päivi Pöyry-Lassila

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Abstract

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.
Original languageEnglish
Title of host publicationAI in eHealth
Subtitle of host publicationHuman Autonomy, Data Governance and Privacy in Healthcare
PublisherCambridge University Press
Chapter5
Pages125-146
Number of pages22
ISBN (Electronic)9781108921923
DOIs
Publication statusPublished - 8 Sep 2022
MoE publication typeB2 Part of a book or another research book

Keywords

  • Consent
  • Contextual consenting
  • consent intermediary
  • privacy
  • eHealth
  • AI

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