Storytelling with Data in Healthcare

Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement.

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Author: Kevin Masick

Publisher: Routledge

ISBN: 9781000226508

Category: Business & Economics

Page: 178

View: 977

With the constant evolution of change in healthcare from both a technology and governmental perspective, it is imperative to take a step back and view the big picture. Relying on hunches or beliefs is no longer sustainable, so avoid jumping to conclusions and making decisions without thoroughly understanding the statistics being analyzed. The triple aim of statistics is a conceptual model laying the foundation for improving healthcare outcomes through statistics. This foundation is: know your numbers; develop behavioral interventions; and set goals to drive change. With the availability of electronic data sources, the quantity and quality of data have grown exponentially to the point of information overload. Translating all this data into words that tell a meaningful story is overwhelming. This book takes the reader on a journey that navigates through this data to tell a story that everyone can understand and use to drive improvement. Readers will learn to tell a narrative story based on data, to develop creative, innovative and effective solutions to improve processes and outcomes utilizing the authors’ tools. Topics include mortality and readmission, patient experience, patient safety survey, governmental initiatives, CMS Star Rating and Hospital Compare. Storytelling with Data in Healthcare combines methodology and statistics in the same course material, making it coherent and easier to put into practice. It uses storytelling as a tool for knowledge acquisition and retention and will be valuable for courses in nursing schools, medical schools, pharmacy schools or any healthcare profession that has a research design or statistics course offered to students. The book will be of interest to researchers, academics, healthcare professionals, and students in the fields of healthcare management and operations as well as statistics and data visualization.

Visualizing Health and Healthcare Data

Praise for visualizing health and healthcare data "Reading this book, I've been recalling our data visualization journey at Memorial Sloan Kettering.

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Author: Katherine Rowell

Publisher: John Wiley & Sons

ISBN: 9781119680888

Category: Computers

Page: 240

View: 980

The only data visualization book written by and for health and healthcare professionals In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear and compelling manner is paramount to success. However, they simply cannot find experienced people with the necessary qualifications. The quickest (and often the only) route to meeting this challenge is to hire smart people and train them. Data Visualization for Health and Healthcare Professionals is a one-of-a-kind book for health and healthcare professionals to learn the best practices of data visualization specific to their field. This book provides a high-level summary of health and healthcare data, an overview of relevant visual intelligence research, strategies and techniques to gather requirements, and instruction on how to build strong teams with the expertise required to create dashboards and reports that people love to use. Clear and detailed explanations of data visualization best practices will help you understand the how and the why. Learn how to build beautiful and useful data products that deliver powerful analytics for the end user Follow along with examples of data visualization best practices, including table and graph design for health and healthcare data Avoid common mistakes in data visualization by learning why they do not work and better ways to display the data Written by a top leader in the field of health and healthcare data visualization, this book is an excellent resource for top management in healthcare, as well as entry-level to experienced data analysts in any health-related organization.

Visualizing Health and Healthcare Data

Praise for visualizing health and healthcare data "Reading this book, I've been recalling our data visualization journey at Memorial Sloan Kettering.

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Author: Katherine Rowell

Publisher: John Wiley & Sons

ISBN: 9781119682325

Category: Computers

Page: 240

View: 462

The only data visualization book written by and for health and healthcare professionals. In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear and compelling manner is paramount to success. However, they simply cannot find experienced people with the necessary qualifications. The quickest (and often the only) route to meeting this challenge is to hire smart people and train them. Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See how You're Doing" is a one-of-a-kind book for health and healthcare professionals to learn the best practices of data visualization specific to their field. It provides a high-level summary of health and healthcare data, an overview of relevant visual intelligence research, strategies and techniques to gather requirements, and how to build strong teams with the expertise required to create dashboards and reports that people love to use. Clear and detailed explanations of data visualization best practices will help you understand the how and the why. Learn how to build beautiful and useful data products that deliver powerful insights for the end user Follow along with examples of data visualization best practices, including table and graph design for health and healthcare data Learn the difference between dashboards, reports, multidimensional exploratory displays and infographics (and why it matters) Avoid common mistakes in data visualization by learning why they do not work and better ways to display the data Written by a top leader in the field of health and healthcare data visualization, this book is an excellent resource for top management in healthcare, as well as entry-level to experienced data analysts in any health-related organization.

Understanding Population Health Analytics

Chapter 29: Storytelling with Data Those who practice in population health, including analysts, are endowed with an abundance of data.

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Author: Martha Sylvia

Publisher: Jones & Bartlett Learning

ISBN: 9781284182477

Category: Education

Page: 400

View: 300

"Binding: PB"--

Transforming Healthcare Analytics

Storytelling skills need to be able to effectively communicate data that culminates in a business choice. Many organizations confuse storytelling with a ...

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Author: Michael N. Lewis

Publisher: John Wiley & Sons

ISBN: 9781119613589

Category: Business & Economics

Page: 288

View: 880

Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively. Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results. This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book: Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

German Medical Data Sciences A Learning Healthcare System

[3] C.N. Knaflic, Storytelling with data: A data visualization guide for business professionals, John Wiley & Sons, 2015. [4] T. Dasu, T. Johnson, ...

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Author: U. Hübner

Publisher: IOS Press

ISBN: 9781614998969

Category: Medical

Page: 260

View: 442

Advances in digital and information technology have meant that medical informatics and its associated fields are of ever-increasing importance in the modern healthcare environment. This book presents selected papers from the 63rd annual conference of the German Society of Medical Information Sciences, Biometry, and Epidemiology, GMDS 2018, held in Osnabrück, Germany, in September 2018. The society encompasses not only medical informatics, biometry and epidemiology, but also medical bioinformatics, systems biology and health data management. The title of this year’s conference is “The Learning Health System: Research Based, Innovative, Connecting”, and 38 full papers of the 164 oral presentations and 65 posters delivered at the conference are included here. A wide variety of scientific topics are covered, including standards to enable the interoperable interchange of information; metadata management; record linkage; IT issues for health care networks; interprofessional teaching and training; eHealth legislation; analysis of miRNAs and RNA-Seq data, among others. The contributors are all specialists in their field, and this book disseminates some of the innovative ideas which are urgently needed to meet the challenges facing a constantly developing digital healthcare environment.

AI in Healthcare

Metrics Reporting Service Performance Figure 5.2 : AIOps data collection NOTE Storytelling is the beginning of your path to reporting.

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Author: Robert Shimonski

Publisher: John Wiley & Sons

ISBN: 9781119680017

Category: Technology & Engineering

Page: 288

View: 354

The best source for cutting-edge insights into AI in healthcare operations AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations. Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions. This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including: Healthcare IT AI Clinical Operations AI Operational Infrastructure Project Planning Metrics, Reporting, and Service Performance AIOps in Automation AIOps Cloud Operations Future of AI Written in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.

Digital Storytelling in Health and Social Policy

Patient and public involvement in healthcare quality improvement: How organizations can help ... Measuring what counts: Digital stories as qualitative data.

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Author: Nicole Matthews

Publisher: Taylor & Francis

ISBN: 9781317688242

Category: Medical

Page: 206

View: 117

As digital life stories continue to assume more and more significance across a range of institutions, so too does their potential to bring into focus once marginalised and neglected voices. Breaking new ground by reframing multimedia life stories as a resource for education, public health, and policy, this book challenges policymakers, professionals, and researchers to reimagine how they find out about and respond to people’s daily lives and experiences of health, disability, and well-being. The book develops theoretical, methodological, and practical resources for listening to digital stories through a series of carefully selected international case studies, from dementia care education to campaigns in the UN to ban cluster munitions. The case studies explore and illuminate different ways that digital stories have – and have not – been listened to in the past. The authors expose the great potential as well as the complexity of using powerful personal stories in practice. Together, the case studies highlight that processes of listening to, learning from, and making use of digital stories involve unavoidable processes of reinterpretation, recontextualisation, and translation which have significant ethical and political implications for storytellers, listeners, and society. In mapping and theorising the movement of stories into new contexts of policy and practice, the book offers a critical lens on the widely celebrated democratising potential of digital storytelling and its capacity to amplify marginalised voices. Digital Storytelling in Health and Social Policy develops an authoritative and original re-conceptualisation of digital life stories and their use for social justice ends, and will be important reading for researchers and practitioners from a range of backgrounds, including social policy, digital media, communication, education, disability, and public health.

Cultivating Compassion

This book explores how digital storytelling can catalyze change in healthcare.

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Author: Pip Hardy

Publisher: Springer

ISBN: 9783319641461

Category: Social Science

Page: 384

View: 946

This book explores how digital storytelling can catalyze change in healthcare. Edited by the co-founders of the award-winning Patient Voices Programme, the authors discuss various applications for this technique; from using digital storytelling as a reflective process, to the use of digital stories in augmenting quantitative data. Through six main sections this second edition covers areas including healthcare education, patient engagement, quality improvement and the use of digital storytelling research. The chapters illuminate how digital storytelling can lead to greater humanity, understanding and, ultimately, compassion. This collection will appeal to those involved in delivering, managing or receiving healthcare and healthcare education and research, as well as people interested in digital storytelling and participatory media.

Demystifying Big Data and Machine Learning for Healthcare

5.2.7 Storytelling The role of data visualization is well described, but that's not the case for datadriven storytelling.

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Author: Prashant Natarajan

Publisher: CRC Press

ISBN: 9781315389301

Category: Medical

Page: 210

View: 305

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Bailey s Research for the Health Professional

discern commonalities or patterns in the data and to infer a general principle ... “Narrative analysis honors individuals' stories as data that can stand on ...

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Author: Angela N Hissong

Publisher: F.A. Davis

ISBN: 9780803645134

Category: Medical

Page: 304

View: 913

This classic text explains the hows and whys of conducting and writing a research project. Step-by-step guidance shows you how to select topics; how to select the appropriate methodology and theoretical framework; how to collect, analyze, and interpret the data; and how to write, present, and publish your project

Evidence Based Leadership Innovation and Entrepreneurship in Nursing and Healthcare

... and (c) what impact the program had on health outcomes (as assessed by signaling, not confirming data). Develop a Storytelling Practice The underlying ...

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Author: Bernadette Mazurek Melnyk, PhD, APRN-CNP, FAANP, FNAP, FAAN

Publisher: Springer Publishing Company

ISBN: 9780826196255

Category: Medical

Page: 424

View: 629

Delivers a practical leadership approach that will thrive in today’s healthcare environment This application-based text is designed to cultivate nursing and healthcare leaders who embrace the demands and opportunities of today’s healthcare environment, which is rooted in innovation. Authored by world-class innovators and leaders in evidence-based healthcare practice, the book provides proven strategies to incorporate innovative and evidence-based leadership strategies into daily use to build creative, high-functioning, and sustainable organizations. The book differs from traditional academic texts by providing content that is practical, personal, and engaging. It provides a clear path for readers to integrate innovation and leadership principles into their careers and daily practice. The text is enhanced by individualized quotes and first-person accounts from healthcare industries. Chapters offer objectives and case studies. Other features include “Calls to Action” which will help readers develop leadership skills, and “Key Takeaway Points” to help remember important concepts. Podcasts conducted with prolific leaders illustrate the many challenges they have faced over the years. Key Features: Rooted in AACN Essentials for DNP and Master’s Education Provides practical information on leadership, innovation, and entrepreneurship Includes best practice applications for healthcare and non-healthcare industries to improve outcomes in real-world settings Provides case studies, “Calls to Action,” and “Key Takeaway Points” Includes podcasts with top healthcare leaders

Data Driven Storytelling

Her main research interests include visual analytics and information visualization of data quality, uncertainty, and healthcare, as well as guidance in ...

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Author: Nathalie Henry Riche

Publisher: CRC Press

ISBN: 9781315281551

Category: Computers

Page: 296

View: 882

This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.

Doing Research In and On the Digital

workshops • that enable healthcare professionals, carers and patients to develop their own stories and narratives; • consultancy and support on the ...

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Author: Cristina Costa

Publisher: Routledge

ISBN: 9781317201908

Category: Social Science

Page: 214

View: 440

As a social space, the web provides researchers both with a tool and an environment to explore the intricacies of everyday life. As a site of mediated interactions and interrelationships, the ‘digital’ has evolved from being a space of information to a space of creation, thus providing new opportunities regarding how, where and, why to conduct social research. Doing Research In and On the Digital aims to deliver on two fronts: first, by detailing how researchers are devising and applying innovative research methods for and within the digital sphere, and, secondly, by discussing the ethical challenges and issues implied and encountered in such approaches. In two core Parts, this collection explores: content collection: methods for harvesting digital data engaging research informants: digital participatory methods and data stories . With contributions from a diverse range of fields such as anthropology, sociology, education, healthcare and psychology, this volume will particularly appeal to post-graduate students and early career researchers who are navigating through new terrain in their digital-mediated research endeavours.

Applying Linguistics in Illness and Healthcare Contexts

Bleakley, A. (2005), 'Stories as data, data as stories: Making sense of narrative inquiry in clinical education', Medical Education, 39 (5): 534–40.

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Author: Zsófia Demjén

Publisher: Bloomsbury Publishing

ISBN: 9781350057661

Category: Language Arts & Disciplines

Page: 400

View: 906

All aspects of illness and healthcare are mediated by language: experiences of illness, death and healthcare provision are talked and written about (face-to-face or online), while medical consultations, research interviews, public health communications and even some diagnostic instruments are all inherently linguistic in nature. How we talk to, about and for each other in such a sensitive context has consequences for our relationships, our sense of self, how we understand and reason about our health, as well as for the quality care we receive. Yet, linguistic analysis has been conspicuously absent from the mainstream of medical education, health communication training and even the medical or health humanities. The chapters in this volume bring together applied linguistic work using discourse analysis, corpus methods, conversation analysis, metaphor analysis, cognitive linguistics, multiculturalism research, interactional sociolinguistics, narrative analysis, and (im)politeness to make sense of a variety of international healthcare contexts and situations. These include: -clinician-patient interactions -receptionist-patient interactions -online support forums -online counselling -public health communication -media representations -medical accounts -diagnostic tools and definitions -research interviews with doctors and patients The volume demonstrates how linguistic analysis can not only improve understandings of the lived-experience of different illnesses, but also has implications for communications training, disease prevention, treatment and self-management, the effectiveness of public health messaging, access to appropriate care, professional mobility and professional terminology, among others.

Introduction to Biomedical Data Science

For the healthcare data scientist, this means being able to convey through storytelling an easy to grasp non-technical underhnical underhnical understanding ...

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Author: Robert Hoyt

Publisher: Lulu.com

ISBN: 9781794761735

Category: Science

Page: 258

View: 212

Introduction to Biomedical Data Science aims to fill the data science knowledge gap experienced by many clinical, administrative and technical staff. The textbook begins with an overview of what biomedical data science is and then embarks on a tour of topics beginning with spreadsheet tips and tricks and ending with artificial intelligence. In between, important topics are covered such as biostatistics, data visualization, database systems, big data, programming languages, bioinformatics, and machine learning. The textbook is available as a paperback and ebook. Visit the companion website at https: //www.informaticseducation.org for more information. Key features: Real healthcare datasets are used for examples and exercises; Knowledge of a programming language or higher math is not required; Multiple free or open source software programs are presented; YouTube videos are embedded in most chapters; Extensive resources chapter for further reading and learning; PowerPoints and an Instructor Manual

Getting Started in Data Science

I see data visualization as an important aspect of data storytelling; ... can also be census data, healthcare data, or measurement data like from sensors.

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Author: Ayodele Odubela

Publisher: fullyConnected Inc.

ISBN: 9780578806044

Category: Technology & Engineering

Page:

View: 754

Data Science is one of the "sexiest jobs of the 21st Century", but few resources are geared towards learners with no prior experience. Getting Started in Data Science simplifies the core of the concepts of Data Science and Machine Learning. This book includes perspectives of a Data Science from someone with a non-traditional route to a Data Science career. Getting Started in Data Science creatively weaves in ethical questions and asks readers to question the harm models can cause as they learn new concepts. Unlike many other books for beginners, this book covers bias and accountability in detail as well as career insight that informs readers of what expectations are in industry Data Science.

The New World of Transitioned Media

stories, this data.”15 This concept of social media allowing health to be a form of storytelling pervades the marketing for many of the fitness wearables.16 ...

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Author: Gali Einav

Publisher: Springer

ISBN: 9783319090092

Category: Business & Economics

Page: 151

View: 423

The media industry is undergoing an accelerated pace of change, driven in large part by the proliferation of digital platforms. In many cases, the speed of adoption has exceeded our ability to process the impact of these changes on individuals and society at large. This book provides a “behind-the-scenes” look at the media industry’s transition into the digital era and examines its impact on marketing, advertising, innovation and other economic and social activities. The impact of digital technologies on traditional media sectors, such as advertising, video games, film and television is well-documented. Less understood is its effect on our perceptions, thought processes and inter-personal relationships. Social media, for example, represents a fundamental change in the ways we interact with media, communicate with each other and even present ourselves to the world. This has shaped the way we communicate with institutions and brands. Similar to the first “Transitioned Media” book, Transitioned Media: A Turning Point into the Digital Realm, this book combines media industry leaders and academics to explore various transformative trends and issues. Themes include measuring cross-platform behaviour, artificial intelligence in journalism, the evolution of video games, digital media and physical space, the mobile use trends, social media and the corporate world, the changes in the television and newspaper business and the evolving relationship between advertisers and target audiences. The varied backgrounds of contributors and array of topics make for a unique and insightful point of view.

Illness Narratives in Practice Potentials and Challenges of Using Narratives in Health Related Contexts

develop and assess health policies'. ... to such an understanding of how to create scientific evidence, stories become data points to be plotted on a graph, ...

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Author: Gabriele Lucius-Hoene

Publisher: Oxford University Press, USA

ISBN: 9780198806660

Category: Medical

Page: 384

View: 364

What is it like to live with an illness? How do diagnostic procedures, treatments, and other encounters with medical institutions affect a patient's private and social life? By asking these types of questions, illness narratives have gained a reputation as a scientific domain in medicine in the last thirty years. Today, a patient's story plays an important role in doctor-patient communication and the development of a healing relationship. However, whereas patient experiences have been well acknowledged, methodologically reflected upon and widely collected as research data, less consideration has been invested in exploring how they work in practice. Used in the context of diagnosis, treatment, and teaching, patient stories give us a new perspective on how healthcare could be improved. Illness Narratives in Practice: Potentials and Challenges of Using Narratives in Health-related Contexts highlights the problems, challenges, and opportunities we face when using patient perspectives in practice and research in a clear format to provide readers with a comprehensive overview of this field. It investigates the epistemological foundations and communicational properties of illness narratives, as well as the pragmatic effects of using them as clinical and educational instruments. Significantly, it presents new examples from patient intakes and interviews that illustrate the disparity in communication between patients and medical professionals. The studies in this book also evaluate the experiences of medical practitioners and students who consciously use patient narratives as a tool for improved communication and diagnosis. Divided into eight sections with practical examples for medical teaching and practice, this book covers the use of patient narratives in communication training and decision making across medicine and psychotherapy. In addition, it reflects on the ethical aspects of working with a patient's personal experience of their illness, reports on cultural differences across the globe, and analyses how patients' stories are used in politics and the media. Written by scholars from multiple disciplines across clinical and theoretical fields, this rich resource provides a critical stance on the use of narratives in medical research, education, and practice.

The Data Storytelling Workbook

Using your own or someone else's data storytelling project, fill out this table ... such as healthcare, education, insurance, and law (to name only a few).

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Author: Anna Feigenbaum

Publisher: Routledge

ISBN: 9781351684705

Category: Social Science

Page: 247

View: 844

From tracking down information to symbolising human experiences, this book is your guide to telling more effective, empathetic and evidence-based data stories. Drawing on cross-disciplinary research and first-hand accounts of projects ranging from public health to housing justice, The Data Storytelling Workbook introduces key concepts, challenges and problem-solving strategies in the emerging field of data storytelling. Filled with practical exercises and activities, the workbook offers interactive training materials that can be used for teaching and professional development. By approaching both ‘data’ and ‘storytelling’ in a broad sense, the book combines theory and practice around real-world data storytelling scenarios, offering critical reflection alongside practical and creative solutions to challenges in the data storytelling process, from tracking down hard to find information, to the ethics of visualising difficult subjects like death and human rights.