AI in eHealth : human autonomy, data governance and privacy in healthcare
Author(s)
Bibliographic Information
AI in eHealth : human autonomy, data governance and privacy in healthcare
（Cambridge bioethics and law）
Cambridge University Press, 2022
- : hardback
Available at 4 libraries
Note
Other editors: Michael Lowery Wilson, Mark Fenwick, Nikolaus Forgó, Till Bärnighausen
Includes bibliographical references and index
Description and Table of Contents
Description
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 Forgo and Till Barnighausen
- 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 Paivi Poeyry-Lassila
- 6. Artificial Intelligence and Data Protection Law Thomas Hoeren 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 Forgo 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. Luttringhaus
- 12. Barriers to Artificial Intelligence in Hospitals and Arguments for Developing a hospital-specific AI Readiness Index Maximilian Schuessler, Till Barnighausen 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 Dervanovic
- 15. Health Research, eHealth and Learning Healthcare Systems: Key Approaches, Shortcomings and Design Issues in Data Governance Shawn Harmon.
by "Nielsen BookData"