Knowledge to Action PDF Download

Author: Alonzo L. Plough
Publisher: Oxford University Press
ISBN: 0190669349
Category : Education
Languages : en
Pages : 227

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Book Description
AN ESSENTIAL CONVERSATION FROM TODAY'S LEADING VOICES ON EFFECTING CHANGE IN HEALTH AND SOCIETY "The Robert Wood Johnson Foundation has changed the conversation about health in the United States." --Jo Ivey Boufford, President, New York Academy of Medicine In a society where a person's zip code is a stronger predictor of health status than their genetic profile, every public health challenge is also a challenge of equity, implementation, and policy. For better or worse, improving health requires societal change, and the scale of today's societal challenges can have a stifling effect on even the most well-intended efforts. Assembled by the Robert Wood Johnson Foundation and featuring today's most prominent voices from diverse sectors, Knowledge to Action is a collection of short conversations focused on the idea of meaningful change -- its definition, its impediments, and exploring how we can transition from research to action in health, well-being, and equity. Steeped in honesty and benefiting from the diverse experiences of an extraordinary assembly of academics, journalists, policymakers, public health practitioners, and researchers, this book offers provocative yet actionable perspectives that will benefit anyone who reads it.

Author: Sharon E. Straus
Publisher: John Wiley & Sons
ISBN: 1444357255
Category : Medical
Languages : en
Pages : 213

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Book Description
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.

Author: Sue Dopson
Publisher: OUP Oxford
ISBN: 9780199259014
Category : Business & Economics
Languages : en
Pages : 240

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Book Description
Health services can and should be improved by applying research findings about best practice. Yet, in Knolwedge to Action?, the authors explore why it nevertheless proves notoriously difficult to implement change based on research evidence in the face of strong professional views and complex organizational structures.The book draws on a large body of evidence acquired in the course of nearly fifty in-depth case studies, following attempts to introduce evidence-based practice in the UK NHS over more than a decade. Using qualitative methods to study hospital and primary care settings, they are able to shed light on why some of these attempts succeeded where others faltered. By opening up the intricacies and complexities of change in the NHS, they reveal the limitations of the simplistic approaches toimplementing research or introducing evidence-based health care.A unique synthesis of evidence, the book brings together data from 1,400 interviews with doctors, nurses, and managers, as well as detailed observations and documentary analysis. The authors provide an analysis, rooted in a range of theoretical perspectives, that underlines the intimate links between organizational structures and cultures and the utilization of knowledge, and draws conclusions which will be of significance for other areas of public management. Their findings have implicationsfor the utlization of knowledge in situations where there is a professional tradition working within a politically sensitive blend of public service, managerial accountability, and technical expertise.Knowledge to Action? will be of interest to Academics, Researchers, and Advanced Students of Organizational Behaviour, Public and Health Management, and Evidence-Based Medicine; and also of particular interest to Practitioners, Clinicians, and Public Health Managers concerned with implementing change to clinical practice.

Author: Raymond Reiter
Publisher: MIT Press
ISBN: 9780262264310
Category : Computers
Languages : en
Pages : 462

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Book Description
Specifying and implementing dynamical systems with the situation calculus. Modeling and implementing dynamical systems is a central problem in artificial intelligence, robotics, software agents, simulation, decision and control theory, and many other disciplines. In recent years, a new approach to representing such systems, grounded in mathematical logic, has been developed within the AI knowledge-representation community. This book presents a comprehensive treatment of these ideas, basing its theoretical and implementation foundations on the situation calculus, a dialect of first-order logic. Within this framework, it develops many features of dynamical systems modeling, including time, processes, concurrency, exogenous events, reactivity, sensing and knowledge, probabilistic uncertainty, and decision theory. It also describes and implements a new family of high-level programming languages suitable for writing control programs for dynamical systems. Finally, it includes situation calculus specifications for a wide range of examples drawn from cognitive robotics, planning, simulation, databases, and decision theory, together with all the implementation code for these examples. This code is available on the book's Web site.

Author: Jo Rycroft-Malone
Publisher: John Wiley & Sons
ISBN: 1444358731
Category : Medical
Languages : en
Pages : 288

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Book Description
The Evidence-Based Nursing Series is co-published with Sigma Theta Tau International (STTI). The series focuses on implementing evidence-based practice in nursing and mirrors the remit of Worldviews on Evidence-Based Nursing, encompassing clinical practice, administration, research and public policy. Models and Frameworks for Implementing Evidence- Based Practice: Linking Evidence to Action looks at ways of implementing evidence gained through research and factors that influence successful implementation. It acknowledges the gap that exists between obtaining evidence and the practicalities of putting it into practice and provides direction to help to close this gap. This, the first book in the series, helps the reader to make decisions about the appropriateness of using various models and frameworks. A selection of models and frameworks are examined in detail including examples of their use in practice. The book concludes with an analysis and synthesis of the included models and frameworks. The models and frameworks that have been included are based on a number of criteria: that they are internationally recognised, have undergone widespread evaluation and testing, are transferable across different settings, and can be used by different disciplines. Models and frameworks include: Stetler Model Ottowa Model of Research Use IOWA model of evidence-based practice Advancing Research and Clinical Practice through Close Collaboration (ARCC) model Dobbins’ dissemination and use of research evidence for policy and practice framework Joanna Briggs Institute model Knowledge to Action framework Promoting Action on Research Implementation in Health Services (PARIHS) Key Points: Includes an overview of implementation issues and the use of theory and frameworks in implementing evidence into practice Chapters are written by the developers of the model or framework Each chapter provides background on an implementation model or framework, suitable applications, underlying theory and examples of use Each chapter examines strengths and weaknesses of each model alongside barriers and facilitators for its implementation

Author: Peter Meusburger
Publisher: Springer
ISBN: 331944588X
Category : Social Science
Languages : en
Pages : 299

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Book Description
This volume explores interdependencies between knowledge, action, and space from different interdisciplinary perspectives. Some of the contributors discuss knowledge as a social construct based on collective action, while others look at knowledge as an individual capacity for action. The chapters contain theoretical frameworks as well as experimental outcomes. Readers will gain insight into key questions such as: How does knowledge function as a prerequisite for action? Why are knowledge gaps growing and not diminishing in a knowledge society? How much knowledge is necessary for action? How do various types of knowledge influence the steps from cognition to action? How do different representations of knowledge shape action? What impact have spatial conditions for the formation of knowledge? What is the relationship between social and geographical space? The contributors consider rationality in social and economic theories as well as in everyday life. Attention is also given to action theoretic approaches and rationality from the viewpoints of psychology, post-structuralism, and human geography, making this an attractive book for students, researchers and academics of various backgrounds. This book is open access under a CC BY 4.0 license.

Author: Laurie A. Schintler
Publisher: Springer
ISBN: 9783319320090
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines.

Author: G. Erickson
Publisher: Springer
ISBN: 1137035323
Category : Business & Economics
Languages : en
Pages : 155

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Book Description
First book to combine financial results with proprietary benchmarking data and in-depth interviews with experienced knowledge practitioners. The resulting framework provides an inside- and outside-the-firm view of the risks and opportunities found in knowledge management and competitive intelligence.

Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
ISBN: 1119002265
Category : Mathematics
Languages : en
Pages : 284

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Book Description
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Author: Catherine D'Ignazio
Publisher: MIT Press
ISBN: 0262358530
Category : Social Science
Languages : en
Pages : 328

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Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.