AI in eHealth : human autonomy, data governance and privacy in healthcare / edited by Marcelo Corrales Compagnucci, University of Copenhagen, Michael Lowery Wilson, University of Turku, Mark Fenwick, Kyushu University, Nikolaus Forgo, University of Vienna, Till Barnighausen, Heidelberg University.
"This volume constitutes the result of a joint cooperative effort drawing on the extensive global network of five academic institutions: The Centre for Advanced Studies in Biomedical Innovation Law (CeBIL), part of the Law Faculty of the University of Copenhagen (Copenhagen, Denmark); the Turku Brain Injury Centre in the Department of Clinical Neurosciences at the University of Turku in Finland (Turku, Finland); the Graduate School of Law of Kyushu University (Fukuoka, Japan); the Department of Innovation and Digitalisation of Law at the University of Vienna (Vienna, Austria) and the Heidelberg Institute of Global Health (HIGH) in the Faculty of Medicine at Heidelberg University (Heidelberg, Germany)"--ECIP acknowledgements. Includes bibliographical references and index.
Contents:
Mapping the digital healthcare revolution / Marcelo Corrales Compagnucci, Mark Fenwick, Michael Lowery Wilson, Nikolaus Forgo and Till Barnighausen -- Technology-driven disruption of healthcare & UI layer privacy-by-design / Marcelo Corrales Compagnucci, Mark Fenwick, Helena Haapio, Timo Minssen and Erik P.M. Vermeulen -- 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 -- Promoting the use of PHR by citizens and physicians -- proposed design for a token to be allocated to citizens / Shinto Teramoto -- Privacy management in eHealth using contextual consenting / Yki Kortesniemi and Paivi Poyry-Lassila -- Artificial Intelligence and Data Protection Law / Thomas Horen and Maurice Niehoff -- AI technologies and accountability in digital health / Eva Thelisson -- The principle of transparency in medical research : applying big data analytics to electronic health records / Nikolaus Forgo and Marie-Catherine Wagner -- The next challenge for data protection law : AI revolution in automated scientific research / Janos Meszaros -- A global human-rights approach to medical Artificial Intelligence / Audrey Lebret -- Doctors without Borders? The law applicable to cross-border eHealth services and AI-based medicine / Jan D. Luttringhaus -- Barriers to Artificial Intelligence in hospitals and arguments for developing a hospital-specific AI readiness index / Maximilian Schuessler, Till Barnighausen and Anant Jani -- Regulating the benefits of eHealth -- information disclosure duties in the age of AI / Marc Stauch -- Privacy and direct-to-consumer genetic tests / Dena Dervanovic -- Health research, eHealth and learning healthcare systems : key approaches, shortcomings and design issues in data governance / Shawn Harmon.
Summary:
"Digital technologies are disrupting health care and creating new opportunities and risks for all actors in the medical ecosystem. Moreover, many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor sources of epidemic diseases, such as the ongoing COVID-19 pandemic and other pathogenic outbreaks. However, these opportunities and risks have a complex character involving multiple dimensions (notably legal, ethical, technical and governance) and any mapping and navigation of this new space requires an appreciation of the complexity of these issues and multidisciplinary dialogue"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.