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The Electronic Health Record: Ethical Considerations analyses the ethical issues that surround the construction, maintenance, storage, use, linkage, manipulation and communication of electronic health records. Its purpose is to provide ethical guidance to formulate and implement policies at the local, national and global level, and to provide the basis for global certification in health information ethics. Electronic health records (EHRs) are increasingly replacing the use of paper-based records in the delivery of health care. They are integral to providing eHealth, telehealth, mHealth and pHealth - all of which are increasingly replacing direct and personal physician-patient interaction - as well as in the developing field of artificial intelligence and expert systems in health care. The book supplements considerations that are raised by national and international regulations dealing with electronic records in general, for instance the General Data Protection Regulation of the European Union. This book is a valuable resource for physicians, health care administrators and workers, IT service providers and several members of biomedical field who are interested in learning more about how to ethically manage health data. - Provides examples to explain the various points made in each chapter to increase the readability of the book and provide, in more familiar terms, illustrations of the reasoning that is advanced - Encompasses several diagrams to illustrate the logical structure of the ethical relationships that are discussed in the various chapters and to show how they are related to the decision making process - Presents a glossary to provide short definitions for some of the more technical terms used in the book
Looking at Canada, Brazil, Germany, Mexico, Nigeria, Pakistan, South Africa and Switzerland, Federalism and Decentralization in Health Care examines the overall organization of the health system.
Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm—creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making. Chapters include: Introduction to Reinforcement and Systemic Machine Learning Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning Systemic Machine Learning and Model Inference and Information Integration Adaptive Learning Incremental Learning and Knowledge Representation Knowledge Augmentation: A Machine Learning Perspective Building a Learning System With the potential of this paradigm to become one of the more utilized in its field, professionals in the area of machine and systemic learning will find this book to be a valuable resource.
This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.
Presents information to create a trade-off analysis framework for use in government and commercial acquisition environments This book presents a decision management process based on decision theory and cost analysis best practices aligned with the ISO/IEC 15288, the Systems Engineering Handbook, and the Systems Engineering Body of Knowledge. It provides a sound trade-off analysis framework to generate the tradespace and evaluate value and risk to support system decision-making throughout the life cycle. Trade-off analysis and risk analysis techniques are examined. The authors present an integrated value trade-off and risk analysis framework based on decision theory. These trade-off analysis concepts are illustrated in the different life cycle stages using multiple examples from defense and commercial domains. Provides techniques to identify and structure stakeholder objectives and creative, doable alternatives Presents the advantages and disadvantages of tradespace creation and exploration techniques for trade-off analysis of concepts, architectures, design, operations, and retirement Covers the sources of uncertainty in the system life cycle and examines how to identify, assess, and model uncertainty using probability Illustrates how to perform a trade-off analysis using the INCOSE Decision Management Process using both deterministic and probabilistic techniques Trade-off Analytics: Creating and Exploring the System Tradespace is written for upper undergraduate students and graduate students studying systems design, systems engineering, industrial engineering and engineering management. This book also serves as a resource for practicing systems designers, systems engineers, project managers, and engineering managers. Gregory S. Parnell, PhD, is a Research Professor in the Department of Industrial Engineering at the University of Arkansas. He is also a senior principal with Innovative Decisions, Inc., a decision and risk analysis firm and has served as Chairman of the Board. Dr. Parnell has published more than 100 papers and book chapters and was lead editor of Decision Making for Systems Engineering and Management, Wiley Series in Systems Engineering (2nd Ed, Wiley 2011) and lead author of the Handbook of Decision Analysis (Wiley 2013). He is a fellow of INFORMS, the INCOSE, MORS, and the Society for Decision Professionals.
The analysis of decision making under uncertainty has again become a major focus of interest. This volume presents contributions from leading specialists in different fields and provides a summary and synthesis of work in this area. It is based on a conference held at the Harvard Business School. The book brings together the different approaches to decision making - normative, descriptive, and prescriptive - which largely correspond to different disciplinary interests. Mathematicians have concentrated on rational procedures for decision making - how people should make decisions. Psychologists have examined how poeple do make decisions, and how far their behaviour is compatible with any rational model. Operations researchers study the application of decision models to actual problems. Throughout, the aim is to present the current state of research and its application and also to show how the different disciplinary approaches can inform one another and thus lay the foundations for the integrated analysis of decision making. The book will be of interest to researchers, teachers - for use as background reading for a decision theory course - students, and consultants and others involved in the practical application of the analysis of decision making. It will be of interest to specialists and students in statistics, mathematics, economics, psychology and the behavioural sciences, operations research, and management science.
Looks at the critical role of community members and other interested parties in environmental policy decision making.
Marketing often scares entrepreneurs. They've sweat buckets coming up with a valuable product or service, and now they have to sell it? Won't it sell itself? No. But, as marketing expert Bob Everett shows, marketing is just not that hard. At some level, entrepreneurs know that. They know what appeals to them and what leaves them cold. They know when a person or marketing claim is trustworthy, and they know when claims are exaggerated. Yet when it comes to marketing their own products and services to others, entrepreneurs often find it difficult to apply that same judgment and common sense. Everett to the rescue! He helps entrepreneurs position products in the market, then sell them effectively and ethically. Everett first destroys marketing myths: • Marketing is difficult and needs to be done by professionals. • Good marketing has to be expensive. • Marketing skills require extensive training • Marketing requires a great deal of creativity These myths have spawned a multi-billion dollar industry consisting of advertising agencies, public relations firms, marketing consultants, and academic marketing programs in business schools. But as this book shows, marketing is a simple process that anyone can master—and that entrepreneurs must master if they are to succeed. Fortunately, the most effective marketing programs are usually the most honest, simple, and inexpensive. The Entrepreneur's Guide to Marketing is designed to help the entrepreneur, business owner, manager, or marketing professional harness his or her own inner wisdom and personal experience to develop powerful and efficient marketing programs. Both a how-to and a how to think about it book, it takes readers through a step-by-step process of figuring things out for themselves. The result? A successful marketing program that will help entrepreneurs harvest new customers, more dollars, and overall success.
Is decentralisation good for development? This book offers insights and lessons that help us understand when the answer is 'Yes', and when it is No'. It shows us how decentralisation can be designed to drive development forward, and focuses attention on how institutional incentives can be created for governments to improve public sector performance and strengthen economies in ways that enhance citizen well-being. It also draws attention to the political motives behind decentralisation reforms and how these shape the institutions that result. This book brings together academics working at the frontier of research on decentralization with policymakers who have implemented reform at the highest levels of government and international organizations. Its purpose is to marry policymakers' detailed knowledge and insights about real reform processes with academics' conceptual clarity and analytical rigor. This synthesis naturally shifts the analysis towards deeper questions of decentralization, stability, and the strength of the state. These are explored in Part 1, with deep studies of the effects of reform on state capacity, political and fiscal stability, and democratic inclusiveness in Bolivia, Pakistan, India, and Latin America more broadly. These complex questions - crucially important to policymakers but difficult to address with statistics - yield before a multipronged attack of quantitative and qualitative evidence combined with deep practitioner insight. How should reformers design decentralisation? Part 2 examines these issues with evidence from four decades of reform in developing and developed countries. What happens after reform is implemented? Decentralization and local service provision turns to decentralization's effects on health and education services, anti-poverty programs with original evidence from 12 countries across Africa, Asia, and Latin America.
We are very pleased to present to you this LNCS volume, the proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN 2010). PPSN is one of the most respected and highly regarded c- ference series in evolutionary computation, and indeed in natural computation aswell.Thisbiennialeventwas?rstheldinDortmundin1990, andtheninBr- sels (1992), Jerusalem (1994), Berlin (1996), Amsterdam (1998), Paris (2000), Granada (2002), Birmingham (2004), Reykjavik (2006) and again in Dortmund in 2008. PPSN 2010 received 232 submissions. After an extensive peer review p- cess involving more than 180 reviewers, the program committee chairs went through all the review reports and ranked the papers according to the revi- ers’comments. Each paper wasevaluated by at least three reviewers.Additional reviewers from the appropriate branches of science were invoked to review into disciplinary papers. The top 128 papers were ?nally selected for inclusion in the proceedings and presentation at the conference. This represents an acceptance rate of 55%, which guarantees that PPSN will continue to be one of the c- ferences of choice for bio-inspired computing and metaheuristics researchers all over the world who value the quality over the size of a conference. The papers included in the proceedingsvolumes covera wide range of topics, fromevolutionarycomputationto swarmintelligence, frombio-inspiredcomp- ing to real-world applications. Machine learning and mathematical games s- portedbyevolutionaryalgorithmsaswellasmemetic, agent-orientedsystemsare also represented. They all are the latest and best in natural computation. The proceedings are composed of two volumes divided into nine thematic sections.