AI in eHealth: Human Autonomy, Data Governance and Privacy in Healthcare

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AI in eHealth: Human Autonomy, Data Governance and Privacy in Healthcare

Edited by Marcelo Corrales Compagnucci · Michael Lowery Wilson · Mark Fenwick · Nikolaus Forgó · Till Bärnighausen
Cambridge University Press September 2022

Specifications

ISBN-13
9781108830966
Publisher
Cambridge University Press
Publication
September 2022
Format
Hardback
Jurisdiction
U.K. ? Countri(es) for reference only

Details

The emergence of digital platforms and the new application economy are transforming healthcare and creating new opportunities and risks for all stakeholders in the medical ecosystem. Many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor diseases and other health conditions. A broad range of medical, ethical and legal knowledge is now required to navigate this highly complex and fast-changing space. This collection brings together scholars from medicine and law, but also ethics, management, philosophy, and computer science, to examine current and future technological, policy and regulatory issues. In particular, the book addresses the challenge of integrating data protection and privacy concerns into the design of emerging healthcare products and services. With a number of comparative case studies, the book offers a high-level, global, and interdisciplinary perspective on the normative and policy dilemmas raised by the proliferation of information technologies in a healthcare context.

Table of Contents

1. Mapping the Digital Healthcare Revolution
Marcelo Corrales Compagnucci, Mark Fenwick, Michael Lowery Wilson, Nikolaus Forgó and Till Bärnighausen
Part I. Platforms, Apps & Digital Health:
2. Technology-Driven Disruption of Healthcare & UI Layer Privacy-by-Design
Marcelo Corrales Compagnucci, Mark Fenwick, Helena Haapio, Timo Minssen and Erik P.M. Vermeulen
3. Social Media Platforms as Public Health Arbiters: Global Ethical Considerations on Privacy, Legal and Cultural Issues Associated with Suicide Detection Algorithm
Karen Celedonia, Michael Lowery Wilson and Marcelo Corrales Compagnucci
4. Promoting the Use of PHR by Citizens and Physicians – Proposed Design for a Token to be Allocated to Citizens
Shinto Teramoto
Part II. Trust & Design:
5. Privacy Management in eHealth Using Contextual Consenting
Yki Kortesniemi and Päivi Pöyry-Lassila
6. Artificial Intelligence and Data Protection Law
Thomas Hören and Maurice Niehoff
7. AI Technologies and Accountability in Digital Health
Eva Thelisson
Part III. Knowledge, Risk & Control:
8. The Principle of Transparency in Medical Research: Applying Big Data Analytics to Electronic Health Records
Nikolaus Forgó and Marie-Catherine Wagner
9. The Next Challenge for Data Protection Law: AI Revolution in Automated Scientific Research
Janos Meszaros
10. A Global Human-Rights Approach to Medical Artificial Intelligence
Audrey Lebret
Part IV. Balancing Regulation, Innovation & Ethics:
11. Doctors without Borders? The Law Applicable to Cross-Border eHealth Services and AI-based Medicine
Jan D. Lüttringhaus
12. Barriers to Artificial Intelligence in Hospitals and Arguments for Developing a hospital-specific AI Readiness Index
Maximilian Schuessler, Till Bärnighausen and Anant Jani
13. Regulating the Benefits of eHealth – Information Disclosure Duties in the Age of AI
Marc Stauch
14. Privacy and Direct-to-Consumer Genetic Tests
Dena Dervanović
15. Health Research, eHealth and Learning Healthcare Systems: Key Approaches, Shortcomings and Design Issues in Data Governance
Shawn Harmon
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