Ahmed Mohamed - Böcker

There has been much recent excitement amongst neuroscientists and ethicists about the possibility of using drugs, as well as other technologies, to enhance cognition in healthy individuals. This excitement has arisen from recent advances in neuroscientific technologies such as drugs that increase alertness and wakefulness in healthy individuals or technologies that can stimulate activity in different parts of the brain - either via the scalp or via electrodes - raising the possibility of producing cognitive and affective improvements in otherwise healthy individuals. Despite this growing interest, there are conflicting views on the ethics of cognitive enhancement. Some argue that enhancement is not only an ethical pursuit but one that we have a moral obligation to pursue. Others are more skeptical about the ethical implications and long term effects of cognitive enhancement. Some neuroscientists argue that use of stimulants as putative enhancers will lead to misuse, abuse and addiction in some users, and might have undesirable long-term consequences. This book critically explores and analyses the scientific and ethical debates surrounding cognitive enhancers. Including contributions from neuroscientists, neuropsychopharmacologists, ethicists, philosophers, public health professionals, and policy researchers, the book offers a multidisciplinary, critical consideration of the ethics of the use of cognitive enhancers.

Healthcare organizations are utilizing big data for improved data analytics and performance measurements. This book provides a comprehensive framework integrating 41 components, emphasizing data completeness for better healthcare outcomes. It provides guidelines for selecting appropriate technology and implementing solutions.Transforming Healthcare with Big Data: A Practical Guide for Big Data in Healthcare Systems presents a six-layer framework for healthcare systems, integrating organization, people, process, data, technology, and outcomes. It discusses big data analytics, predictive risk assessments, and the benefits of combining it with artificial intelligence, machine learning, and deep learning technologies. It also guides planning big data analytics solutions, tracking KPIs, and optimizing healthcare operations for cost reduction without compromising care quality.Healthcare executives, administrators, IT professionals, data scientists, analysts, clinical and operations managers, consultants, researchers, academics, policymakers, and graduate students in health informatics and industrial engineering can all benefit from this book by gaining a comprehensive and practical framework for effectively implementing big data analytics in healthcare. This will enable improved patient outcomes, cost efficiency, and operational excellence.