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AI in eHealth
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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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Scholars from medicine, law and related disciplines examine the ethical and legal challenges raised by AI in digital healthcare.

About the Author

Marcelo Corrales Compagnucci is Associate Professor of Information Technology Law at the Centre for Advanced Studies in Biomedical Innovation Law, Faculty of Law, University of Copenhagen, Denmark. Michael Lowery Wilson is Associate Professor of Injury Epidemiology and Prevention at the Faculty of Medicine, University of Turku, Finland. Mark Fenwick is Professor of International Business Law at the Graduate School of Law, Kyushu University, Japan. Nikolaus Forgó is Professor of IT and IP Law at the Department of Innovation and Digitalisation in Law, Faculty of Law, University of Vienna, Austria. Till Bärnighausen is Professor in Epidemiology at the Heidelberg Institute of Global Health, Germany.

Reviews

'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 Sjöberg, 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 Oslo

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