Technology Enabled Knowledge Translation

Rapid progress in health research has led to generation of new knowledge and innovative practices in management of illness. This has resulted in a significant challenge for health professionals: if today we discovered a new therapy through research, when will this discovery be regularly prescribed or utilized to treat all patients suffering from this condition? Knowledge translation is the non-linear and often complicated process of translating knowledge into routine health practices. Technology enabled knowledge translation (TEKT) is the use of information and communication technologies (ICT) to accelerate knowledge translation. With the ubiquity of the internet, the proliferation of different approaches in communication and social networking, and the continuously improving technologies from netbooks to smartphones, there are rich opportunities for TEKT in health education, service delivery, and research.

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.

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

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.

For many people in both developing and developed countries universal healthcare is still not the norm. Socio-economic status and geographical restrictions have proved to be major barriers to accessible care. The use of information and communication technologies ICT is growing rapidly internationally as the need to provide more efficient and cost-effective care becomes increasingly urgent. Improving the health of a nation begins with the individual and recent developments in genomics and mobile networked information technologies have regenerated interest in individualizing healthcare. Harnessing the diversity and ubiquity of