AI in eHealth
Human Autonomy, Data Governance and Privacy in Healthcare
Published on 7. September 2022
494 pages
978-1-108-92490-0 (ISBN)
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.
Reviews / Votes
'With authors spanning the globe from Japan, to Austria, to Canada, this excellent volume deftly tackles some of the most important legal and ethical issues raised by AI in healthcare, whether in apps, direct to consumer genetic tests, or electronic health records.' I. Glenn Cohen, James A. Attwood and Leslie Williams Professor of Law, Harvard Law School 'This is an excellent piece of work in the way in which it intertwines ICT Law and AI in the welfare state. Complicated matters are explained and discussed among today?s expertise in a most fruitful way. There is no doubt that eHealth is becoming a legal field of its own.' Cecilia Magnusson Sjoeberg, Professor of Law and Information Technology, Department of Law, Stockholm University 'In AI in eHealth: Human Autonomy, Data Governance & Privacy in Healthcare the impressive lineup of authors provide an important discussion of some of the most pressing and complex issues facing society. This book is an important addition to existing literature and should be of widespread interest amongst academic, lawyers, data privacy professionals, the healthcare sector, computer scientists, and many more.' Dan Jerker B. Svantesson, Professor of Law, Bond University 'This profound interdisciplinary contributions of 22 experts reflect the state of the art on AI in E-Health. The authors demonstrate the importance of digitized health data for medical research, public health and individual medical treatment. The technical, medical, ethical and legal preconditions and implications of primary and secondary use of medical data are convincingly analyzed. The Recommendations should be taken into account for streamlining the current activities in E-Health on a European and global level.' Wolfgang Kilian, Professor Emeritus, Institute for Legal Informatics, Leibniz University Hannover, Germany 'This is a timely and stimulating multidisciplinary elucidation of regulatory and ethical challenges brought on by the growing deployment of AI in healthcare. The editors are to be especially congratulated for the breadth of perspectives they bring to bear on the subject matter.' Lee A. Bygrave, Norwegian Research Center for Computers and Law, University of OsloMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Illustrations
Worked examples or Exercises
File size
6,50 MB
ISBN-13
978-1-108-92490-0 (9781108924900)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Marcelo Corrales Compagnucci | Michael Lowery Wilson | Mark Fenwick
AI in eHealth
Human Autonomy, Data Governance and Privacy in Healthcare
Book
09/2022
Cambridge University Press
€143.50
Shipment within 15-20 days
Persons
Content
1. Mapping the Digital Healthcare Revolution Marcelo Corrales Compagnucci, Mark Fenwick, Michael Lowery Wilson, Nikolaus Forgo and Till Baernighausen; 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 Paeivi 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. Luettringhaus; 12. Barriers to Artificial Intelligence in Hospitals and Arguments for Developing a hospital-specific AI Readiness Index Maximilian Schuessler, Till Baernighausen 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.
