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

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.

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 Forgo is Professor of IT and IP Law at the Department of Innovation and Digitalisation in Law, Faculty of Law, University of Vienna, Austria. Till Barnighausen is Professor in Epidemiology at the Heidelberg Institute of Global Health, Germany.

'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 todays 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 Oslo