Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "See How You're Doing" - Softcover

Rowell, Katherine; Betzendahl, Lindsay; Brown, Cambria

Softcover

ISBN 10: 1119680883 ISBN 13: 9781119680888

Verlag: John Wiley & Sons Inc, 2020

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

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Praise for visualizing health and healthcare data

"Reading this book, I've been recalling our data visualization journey at Memorial Sloan Kettering. Since 2017, we've been guided by HealthDataViz (HDV) through every step of gaining and maturing our ability to tell stories, answer questions, and make decisions through the visualization of our data. This book is a guide from the HDV masters generously and comprehensively sharing their craft, covering the science behind it, methodology, process, human element, data, design, visualization techniques, use cases and do's and don'ts. It's also a fun and easy read. I highly recommend it to anyone as a guide for their health and healthcare data visualization journey."
—Rimma Belenkaya, MA, MS, Knowledge Management, Data Modeling, and Data Quality Assurance, Memorial Sloan Kettering Cancer Center

"Easily the most practical and accessible book on visualizing data! It has all the do's and don'ts of visual presentation in one easy-to-absorb book!"
—Jennifer Daley, MD, FACP, Market Medical Executive, Cigna

"This latest book builds upon HealthDataViz's legacy of sharing the type of leading-edge training in data visualization and design thinking that are often reserved for consulting engagements, while still offering so much more via in-person engagements. Having watched them guide current and prior companies on their data visualization and executive dashboarding journeys, I highly recommend this book and the HealthDataViz team."
—Thomas White, MD, MS, CHIE, Clinical Data Science and Insights, MedStar Health

"This is a fantastic book chock full of data visualization best practices and fundamental concepts. The clean design, thoughtful use of color, well-made charts, and specific advice make it helpful for any professional. I especially appreciate the foundation in design thinking and user-centric approach. The healthcare-specific examples should really bring it home for anyone in that industry seeking to do a better job communicating with data."
—Bill Shander, Information Designer; LinkedIn Learning Instructor of Data Storytelling and Visualization; Board Member, Data Visualization Society

"Visualizing Health and Healthcare Data does exactly that. If you work with data in the healthcare sector, then this book will be a valuable resource, not only to read and study, but to have nearby when you are visualizing your data. This book covers the basics, provides a solid framework, and offers real-world examples, while focusing on the most important part, the reader of the visualizations."
—Jeffrey Shaffer, author, Big Book of Dashboards; adjunct professor, University of Cincinnati; Chief Operating Officer, Unifund

Details zur Ausgabe

• Verlag: John Wiley & Sons Inc
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 1119680883
• ISBN 13: 9781119680888
• Einband: Tapa blanda
• Anzahl der Seiten: 240
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar