Knowledge Systems And Translation

It is generally agreed that knowledge plays an important role in translation and interpreting and that it should therefore be of central concern to translation and interpreting studies. However, there is no general agreement about what is actually meant by the term 'knowledge' in this context, nor about in exactly what ways it is relevant. Also, present-day translation and interpreting studies offer only a limited amount of research specifically dedicated to knowledge systematization and other knowledge-related issues. This book is one of the first to systematically and exclusively address the question of knowledge in translation and interpreting. It is a collection of papers by leading scholars both from the field of translation and interpreting and from adjacent fields where knowledge also plays an important role, such as linguistics and computer science. The experts present a wide variety of conceptions of knowledge and a number of different approaches to the study of knowledge in translation and interpreting: some of them draw on concepts such as scenes and frames, mental spaces and semantic networks, some discuss knowledge systems from an ontological point of view, and some present more general concepts of knowledge in translation and interpreting. Along the same lines, some of the contributors deal mainly with theoretical and conceptual aspects, others focus on methodological issues, and again others report on empirical studies. What brings them together, however, is their common focus on the interface between knowledge and translation/interpreting, and their main achievement is that, by joining forces, they manage to present to their readers a state-of-the-art report which offers both a clearer delimitation of the concept of knowledge and a better understanding of its role in translation and interpreting.

Health care systems worldwide are faced with the challenge of improving the quality of care. Providing evidence from health research is necessary but not sufficient for the provision of optimal care and so knowledge translation (KT), the scientific study of methods for closing the knowledge-to-action gap and of the barriers and facilitators inherent in the process, is gaining significance. Knowledge Translation in Health Care explains how to use research findings to improve health care in real life, everyday situations. The authors define and describe knowledge translation, and outline strategies for successful knowledge translation in practice and policy making. The book is full of examples of how knowledge translation models work in closing the gap between evidence and action. Written by a team of authors closely involved in the development of knowledge translation this unique book aims to extend understanding and implementation worldwide. It is an introductory guide to an emerging hot topic in evidence-based care and essential for health policy makers, researchers, managers, clinicians and trainees.

The Knowledge Translation Toolkit provides a thorough overview of what knowledge translation (KT) is and how to use it most effectively to bridge the "know-do" gap between research, policy, practice, and people. It presents the theories, tools, and strategies required to encourage and enable evidence-informed decision-making. This toolkit builds upon extensive research into the principles and skills of KT: its theory and literature, its evolution, strategies, and challenges. The book covers an array of crucial KT enablers--from context mapping to evaluative thinking--supported by practical examples, implementation guides, and references. Drawing from the experience of specialists in relevant disciplines around the world, The Knowledge Translation Toolkit aims to enhance the capacity and motivation of researchers to use KT and to use it well. The Tools in this book will help researchers ensure that their good science reaches more people, is more clearly understood, and is more likely to lead to positive action. In sum, their work becomes more useful, and therefore, more valuable.

Knowledge Translation in Context is an essential tool for researchers to learn how to be effective partners in the KT process to ensure that diverse communities benefit from academic research results through improved social and health outcomes.

This timely volume presents an in-depth tour of population health monitoring—what it is, what it does, and why it has become increasingly important to health information systems across Europe. Introductory chapters ground readers in the structures of health information systems, and the main theoretical and conceptual models of population health monitoring. From there, contributors offer tools and guidelines for optimum monitoring, including best practices for gathering and contextualizing data and for disseminating findings, to benefit the people most affected by the information. And an extended example follows the step-by-step processes of population health monitoring through a study of health inequalities, from data collection to policy recommendations. Included in the coverage: · Structuring health information: frameworks, models, and indicators · Analysis: contextualization of process and content · Knowledge translation: key concepts, terms, and activities · Health inequality monitoring: a practical application of population health monitoring · Relating population health monitoring to other types of health assessments · Population health monitoring: strengths, weaknesses, opportunities, and threats A robust guide with international implications for an emerging field, Population Health Monitoring is a salient reference for public health experts working in the field of health information as well as post-graduate public health students and public health policymakers. "In this comprehensive and easy to read volume, Verschuuren and van Oers, accompanied by other specialists in the field, present a fresh and thoroughly researched contribution on the discipline of population health monitoring. They critically analyse and describe the phases, functions and approaches to population health monitoring but far more importantly, the discipline is positioned within the wider domains of public health, health policy and health systems. The book is definitely highly recommended reading for students of public health and health services management but is also a useful refresher course for public health practitioners." Natasha Azzopardi Muscat, President, European Public Health Association Chapter 7 of this book is available open access under a CC BY 3.0 IGO license at link.springer.com Chapter 8 of this book is available open access under a CC BY 3.0 IGO license at link.springer.com

This book constitutes the proceedings of the 8th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2014, held in Bordeaux, France, in March 2014. The 14 revised full papers presented together with 5 revised short papers and two invited talks were carefully reviewed and selected from 52 submissions. The papers address various topics such as database design, dynamics of information, information fusion, integrity and constraint management, intelligent agents, knowledge discovery and information retrieval, knowledge representation, reasoning and planning, logics in databases and AI, mathematical foundations, security in information and knowledge Systems, semi-structured data and XML, social computing, the semantic Web and knowledge management as well as the WWW.

Knowledge Translation in Nursing and Healthcare provides authoritative guidance on the implementation of evidence-informed practice, covering issue identification and clarification, solution building and implementation, evaluation, and sustainment. Integrating theory, empirical research, and experiential knowledge, this hands-on resource assists nurses and healthcare practitioners in collecting quality evidence, transforming it into a useable, customized recommendation, and then applying best practice in various point-of-care settings. Written by highly experienced implementation researchers working with practitioners, the book demonstrates how the synthesis and translation of evidence supports improvement of existing care and service delivery models, and produces increased benefit for both patients and health services. Examples drawn from the authors' first-hand experience—such as pressure injury prevention in acute care, transition of care for people with heart failure, and community leg ulcer care—illustrate the use of best practice in addressing care and quality issues. This important reference and guide: Outlines a planning framework that activates research and evidence in practice settings, moving knowledge into action and sustaining the use of best practice Introduces the framework that enables effective evidence-informed methodology and decision-making Features numerous illustrative field examples of both successful and unsuccessful implementations in a variety of practical situations Offers perspectives on best practice implementation from experienced practitioners and researchers Knowledge Translation in Nursing and Healthcareis a must-have for those wanting to implement, evaluate, and sustain best practice in the delivery of evidence-informed healthcare to patients, families, and communities.