Cover image for AI in eHealth : human autonomy, data governance and privacy in healthcare
AI in eHealth : human autonomy, data governance and privacy in healthcare
Title:
AI in eHealth : human autonomy, data governance and privacy in healthcare
Author:
Corrales Compagnucci, Marcelo, 1978- editor.
ISBN:
9781108830966
Physical Description:
xv, 471 pages : illustrations ; 24 cm.
Series:
Cambridge bioethics and law

Cambridge bioethics and law.
General Note:
"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.
Contents:
Mapping the digital healthcare revolution / Platforms, apps and digital health -- Technology-driven disruption of healthcare and 'UI layer' privacy-by-design / Social media platforms as public health arbiters : global ethical considerations on privacy, legal and cultural issues associated with suicide detection algorithm / Promoting the use of PHR by citizens and physicians : proposed design for a token to be allocated to citizens / Trust and design -- Privacy management in eHealth using contextual consenting / Artificial Intelligence and Data Protection Law / AI technologies and accountability in digital health / Knowledge, risk and control -- The principle of transparency in medical research : applying big data analytics to electronic health records / The next challenge for data protection law : AI revolution in automated scientific research / A global human rights approach to medical Artificial Intelligence / Balancing regulation, innovation and ethics - Doctors without Borders? The law applicable to cross-border eHealth services and AI-based medicine / Organisational readiness for the adoption of artificial intelligence in hospitals / Maximilian Schuessler, Till Bärnighausen and Anant Jani -- Regulating the 'benefits' of eHealth : information disclosure duties in the age of AI / Data protection implications of forensic genealogy : a close look at the use of forensic genealogy in solving a double murder in Sweden / Health research, eHealth and learning healthcare systems : key approaches, shortcomings, and design issues in data governance
Abstract:
"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.