ID - 131800413 TI - The patient, data protection and changing healthcare models : the impact of e-health on informed consent, anonymisation and purpose limitation PY - 2021 SN - 9781839701245 9781839701252 1839701242 PB - Cambridge : Intersentia, DB - UniCat KW - Professional ethics. Deontology KW - Human rights KW - Medical law KW - Human medicine KW - Information systems KW - Medical laws and legislation KW - Medical informatics KW - Medical care KW - Data protection KW - Médecine KW - Soins médicaux KW - Protection de l'information (Informatique) KW - Law and legislation KW - Data processing KW - Law and legislation. KW - Droit KW - Informatique KW - E-books KW - Secret médical KW - Identité numérique KW - Protection de l'information (informatique) KW - Gestion des données (systèmes d'information) KW - Droit des technologies de l'information et de la communication KW - Technology KW - Artificial intelligence KW - Droit européen KW - Health aspects. UR - https://www.unicat.be/uniCat?func=search&query=sysid:131800413 AB - Healthcare is changing. It is moving to a paperless environment and becoming a team-based, interdisciplinary and patient-centred profession. Modern healthcare models reflect our data-driven economy, and adopt value-driven strategies, evidence-based medicine, new technology, decision support and automated decision-making. Amidst these changes are the patients, and their right to data protection, privacy and autonomy. The question arises of how to match phenomena that characterise the predominant ethos in modern healthcare systems, such as e-health and personalised medicine, to patient autonomy and data protection laws. That matching exercise is essential. The successful adoption of ICT in healthcare depends, at least partly, on how the public's concerns about data protection and confidentiality are addressed. Three backbone principles of European data protection law are considered to be bottlenecks for the implementation of modern healthcare systems: informed consent, anonymisation and purpose limitation. This book assesses the adequacy of these principles and considers them in the context of technological and societal evolutions. A must-read for every professional active in the field of data protection law, health law, policy development or IT-driven innovation. ER -