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This publication aims to initiate an interdisciplinary discourse on the ethical, legal, and social implications of socially assistive technologies in healthcare. It combines practically relevant insights and examples from current research and development with ethical analysis to uncover moral pitfalls at the intersection between the promotion of social participation and well-being, and risks that may diminish the achievement of these ends.
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integrated healthcare --- patient co-design --- healthcare delivery --- person-centred healthcare
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With increasing urgency, decisions about the digitalized future of healthcare and implementations of new assistive technologies are becoming focal points of societal and scientific debates and addresses large audiences. Decisions require a careful weighing of risks and benefits and contextualizing in-depth ethical analysis with robust empirical data. However, up to now, research on social assistive technologies is mostly dispersed over different academic fields and disciplines. A comprehensive overview on discussions regarding values at stake and ethical assessment of recent developments especially in healthcare is largely missing. This publication initiates an interdisciplinary discourse on ethical, legal and social implications of socially assistive technologies in healthcare. Contributions include perspectives from nursing science, social sciences, philosophy, medical ethics, economics and law to present an – to our knowledge – first and comprehensive overview on different aspects of the use and implementation of socially assistive technologies from an ethical perspective. It combines practically relevant insights and examples from current research and development with ethical analysis to uncover exemplary moral tipping points between promotion of participation or well-being and risks and damages to these values. Healthcare professionals involved in implementation of smart technologies as well as scholars from the field of humanities, nursing and medicine, interested in the discussions on ethics and technology in healthcare, will benefit from this new contribution. The publication is part of the international DigitAs conference "Aging between Participation and Simulation – Ethical Dimensions of Socially Assistive Technologies" held at the Institute of Medical Ethics and History of Medicine (Ruhr University Bochum) from 4 February to 8 February 2019. Within this framework, twelve young scholars were invited to discuss their contributions with renowned experts in the field. The Institute of Medical Ethics and History of Medicine is one of the leading institutes in empirically informed ethical analysis in healthcare and medicine and is a member of the European Association of Centres of Medical Ethics (EACME).
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Quality Assurance, Health Care. --- Health Care Quality Assessment --- Health Care Quality Assurance --- Healthcare Quality Assessment --- Healthcare Quality Assurance --- Quality Assessment, Healthcare --- Quality Assurance, Healthcare --- Quality Assessment, Health Care --- Assessment, Healthcare Quality --- Assessments, Healthcare Quality --- Assurance, Healthcare Quality --- Assurances, Healthcare Quality --- Healthcare Quality Assessments --- Healthcare Quality Assurances --- Quality Assessments, Healthcare --- Quality Assurances, Healthcare --- healthcare policy --- patient safety --- healthcare quality --- healthcare improvement --- Medical care --- Quality assurance --- Quality control --- Quality assurance. --- Quality control. --- Human medicine
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PXL-Healthcare 2016 --- voedingsadvies --- gezonde voeding --- dieet
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American science produces the best medical treatments in the world. Yet U.S. citizens lag behind in life expectancy and quality of life. Robert Kaplan marshals extensive data to make the case that U.S. health care priorities are sorely misplaced-invested in attacking disease, not in solving social problems that engender disease in the first place.
Medical policy --- Preventive health services --- Medicine, Preventive --- Public health --- american healthcare paradox. --- american healthcare. --- disease prevention. --- healthcare spending. --- obamacare. --- preventative medicine. --- single payer healthcare.
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Artificial Intelligence --- Healthcare Disparities --- ethics --- Clinical trials.
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"BMJ Quality Improvement Reports aims to publish a high volume of quality improvement reports to help healthcare professionals document and share innovations and excellence in care. It is an online-only, open access general healthcare journal. Publishing procedures are built around a light-touch peer review process and continuous publication. Reports are published online as soon as the article is ready. BMJ Quality Improvement Reports is not an edition or supplement of the BMJ."
Quality Assurance, Health Care. --- Medical care --- Soins médicaux --- Quality control --- Periodicals. --- Evaluation --- Qualité --- Contrôle --- Périodiques --- Evaluation. --- Quality control. --- Health Care Quality Assessment --- Health Care Quality Assurance --- Healthcare Quality Assessment --- Healthcare Quality Assurance --- Quality Assessment, Healthcare --- Quality Assurance, Healthcare --- Quality Assessment, Health Care --- Assessment, Healthcare Quality --- Assessments, Healthcare Quality --- Assurance, Healthcare Quality --- Assurances, Healthcare Quality --- Healthcare Quality Assessments --- Healthcare Quality Assurances --- Quality Assessments, Healthcare --- Quality Assurances, Healthcare --- Delivery of health care --- Delivery of medical care --- Health care --- Health care delivery --- Health services --- Healthcare --- Medical and health care industry --- Medical services --- Personal health services --- Public health
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Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data.
Medical care --- Data processing. --- Information services. --- Delivery of health care --- Delivery of medical care --- Health care --- Health care delivery --- Health services --- Healthcare --- Medical and health care industry --- Medical services --- Personal health services --- Public health --- Health Care Sector. --- Health Care Sector --- organization & administration. --- Health Care Industry --- Healthcare Market --- Healthcare Sector --- Industry, Healthcare --- Health Care Market --- Healthcare Industry --- Health Care Industries --- Health Care Markets --- Health Care Sectors --- Healthcare Industries --- Healthcare Markets --- Healthcare Sectors --- Industries, Health Care --- Industries, Healthcare --- Industry, Health Care --- Market, Health Care --- Market, Healthcare --- Markets, Health Care --- Markets, Healthcare --- Sector, Health Care --- Sector, Healthcare --- Sectors, Health Care --- Sectors, Healthcare
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