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.
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 231 mm
Breite: 186 mm
Dicke: 11 mm
Gewicht
ISBN-13
978-1-119-68088-8 (9781119680888)
Schweitzer Klassifikation
Kathy Rowell is a nationally recognized health, healthcare, and data visualization expert, lecturer, and author specializing in helping leading organizations analyze, design, and present visual displays of data to inform their decisions and stimulate effective action. She is the co-author of the Best Boring Book Ever (BBBE) of Healthcare Classification Systems and Databases, and BBBE of Tableau for Healthcare Professionals, which are used by numerous colleges and universities and professional organizations to teach and train students and professionals.
Kathy is the Co-founder and Principal of HealthDataViz (HDV) where she has led innovative and ground-breaking projects and data visualization training initiatives for leading organizations such as Memorial Sloan Kettering Cancer Center, the Centers for Medicare and Medicaid Services, and the Children's Hospital Association. A graduate of the University of NH and Dartmouth Medical School, Kathy lives in Maine and loves being on the water and cruising the coast with her family on their boat "Visualize."
With seven years wholly immersed in healthcare data visualization, following ten years as a licensed marriage and family therapist, Lindsay brings a wealth of direct care experience and an unbridled passion and nationally recognized expertise for visualizing health and healthcare data. A Tableau Zen Master and member of the HealthDataViz (HDV) team, Lindsay is an enthusiastic creator of effective, intuitive, and beautiful dashboards that people love to use and make the story and opportunities buried in the data clear. Her passion for health and healthcare data knows no bounds evidenced by her establishment of #ProjectHealthViz, a community of passionate data visualizers that create displays of health and healthcare data each month to tell our health stories.
Lindsay has a B.A. from Bucknell University and an M.A. from the University of Connecticut. She currently lives in Pennsylvania with her husband and two boys.
Cambria Brown has over ten years of experience analyzing and visualizing health and healthcare data, and is a Tableau Desktop Certified Professional. With a background in public health, survey design, advanced biostatistics, and quality improvement, Cambria understands the full data use cycle and is passionate about helping organizations use data to improve health.
As a member of the HealthDataViz team, she has developed beautiful, user-friendly, and high impact dashboards for a variety of clients including the New York City Dept. of Health and Mental Hygiene, the Colorado Dept. of Public Health and Environment, and the Urban Indian Health Institute. Cambria holds a Master of Public Health in Epidemiology and Biostatistics from Oregon Health & Science University. She lives in Colorado where, when not data vizzing, she enjoys going on adventures with her husband and two children.
Preface xiii
Section I Establishing a Framework and Process 1
Chapter 1 Health and Healthcare Data Visualizations of Historical Importance 3
Chapter 2 Stop Hunting Unicorns and Start Building Teams and Know The Data 9
Chapter 3 Requirements-Gathering and Design Methods 21
Section II Perceiving the Best Practices of Data Visualization 37
Chapter 4 The Research 39
Chapter 5 Table Design Checklist 55
Chapter 6 Powerful Visualizations in Four Shapes 59
Chapter 7 Maps 105
Chapter 8 Graphs and Charts to Never Use or Use with Caution 115
Chapter 9 Making Accessible Visualizations 149
Section III Creating Compelling Data Displays 159
Chapter 10 Dashboards, Reports, and Multidimensional Exploratory Displays (MEDs) 161
Chapter 11 Infographics 185
Section IV Closing Thoughts and Recommended Reading and Resources 195
Author Bios 203
References 207
