Book contents
- AI in eHealth
- Cambridge Bioethics and Law
- AI in eHealth
- Copyright page
- Contents
- Contributors
- Preface
- Acronyms
- 1 Mapping the Digital Healthcare Revolution
- Part I Platforms, Apps and Digital Health
- Part II Trust and Design
- 5 Privacy Management in eHealth Using Contextual Consenting
- 6 Artificial Intelligence and Data Protection Law
- 7 AI Technologies and Accountability in Digital Health
- Part III Knowledge, Risk and Control
- Part IV Balancing Regulation, Innovation and Ethics
- Index
- Cambridge Bioethics and Law
- References
5 - Privacy Management in eHealth Using Contextual Consenting
from Part II - Trust and Design
Published online by Cambridge University Press: 08 September 2022
- AI in eHealth
- Cambridge Bioethics and Law
- AI in eHealth
- Copyright page
- Contents
- Contributors
- Preface
- Acronyms
- 1 Mapping the Digital Healthcare Revolution
- Part I Platforms, Apps and Digital Health
- Part II Trust and Design
- 5 Privacy Management in eHealth Using Contextual Consenting
- 6 Artificial Intelligence and Data Protection Law
- 7 AI Technologies and Accountability in Digital Health
- Part III Knowledge, Risk and Control
- Part IV Balancing Regulation, Innovation and Ethics
- Index
- Cambridge Bioethics and Law
- References
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.
- Type
- Chapter
- Information
- AI in eHealthHuman Autonomy, Data Governance and Privacy in Healthcare, pp. 125 - 146Publisher: Cambridge University PressPrint publication year: 2022