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"In the past decade, the relationship between patient choice and clinical decision making has been seen as increasingly significant by healthcare systems around the globe. This 3rd edition of Shared Decision Making in Health Care addresses important developments in this area, including the placing of shared decision making (SDM) at the centre of the US 2009 Affordable Care Act by Obamacare. This resource examines what makes an effective decision-making process from both theoretical and practical viewpoints, and the benefits and obstacles arising in shared patient-clinician decision making. It begins by putting shared decision making in a real-world context, examining its role in customized rather than commercialized healthcare, and in the achievement of allocative efficiency in health systems. It then provides theoretical and practical information for clinicians on the inclusion of patients in decision making and teaching SDM. Research is presented using systematic reviews and case studies to provide an understanding of the theoretical and practical aspects of preparing for, developing, and implementing SDM. The resource then relates SDM to broader issues such as health inequalities and quality improvement, and ends by examining ways in which SDM can be promoted by different population groups."

"This book presents objective data and expert guidance on managing critically ill patients in unique question-based chapters that focus on best practices"

"This textbook approaches the study of critical care with teaching in mind. In medicine teachable moments usually occur in clinical context, where the engagement in a real case exemplifies principles of diagnosis or therapy. In order to replicate the teaching method, selected cases are presented within each chapter offering the reader an opportunity to process and reflect on the components of the topic within a practical scenario. While medical practice attempts to be evidence-based, common approaches to diagnosis and management incorporate not only evidence but heuristics and biases which await either validation or repudiation. Hence, each chapter is divided into two segments: the Principles of Management section - the common approach to the care of patients having a given condition is presented - and the Evidence Contour section, in which each author discusses the aspects of diagnosis and management that are the subject of ongoing debate."

"This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes : computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems."

"This book highlights cutting-edge research into emergency early warning management and decision-making for severe accidents. Using toxic gas leakages as examples, it puts forward new design methods for emergency early warning systems, as well as a systematic description of emergency early warning information communication mechanisms and characteristics of regional evacuation, based on a wide range of theories, including safety engineering, information engineering, communication, behaviorology and others. The book applies a range of methods, such as case analysis, questionnaire interviews, and multi-objective optimization modeling. Drawing on this basis, it subsequently proposes a multi-objective optimization modeling and algorithm for emergency path selection, together with an evacuation risk assessment method. Divided into six chapters prepared by an international team of researchers, the book addresses the design of early warning systems, communication and dissemination mechanisms of early warning information, characteristics of regional evacuation, multi-objective optimization of emergency paths, and evacuation risk assessment. ­­­­­"