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

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.

Sommario

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
 
Search for Characteristics and Core Competencies 10
 
Get to Know the Data 11
 
Classifications, Intent, Purpose, and Lineage 12
 
Two Types of Data 14
 
Qualitative/Categorical Data 14
 
Quantitative/Numerical Data 14
 
Scales/Levels of Measure 15
 
Nominal 15
 
Ordinal 16
 
Interval 17
 
Ratio 18
 
Summary 19
 
Chapter 3 Requirements-Gathering and Design Methods 21
 
Design Thinking Foundational Concepts 22
 
Design Methods 23
 
Contextual Inquiry 23
 
Mental Models 24
 
Personas 26
 
Persona Creation Guide 27
 
Graphic Organizers 29
 
Guided Analytics Framework 29
 
Summary Overview Dashboard 30
 
Supporting Focused Reports 30
 
Details 31
 
Multidimensional Exploratory Displays (MEDs(TM)) 31
 
Sketching 32
 
Prototyping 33
 
Testing 34
 
Summary 36
 
Section II Perceiving the Best Practices of Data Visualization 37
 
Chapter 4 The Research 39
 
Research Informs Data Visualization Best Practices 39
 
Preattentive Attributes 41
 
Preattentive Attributes at Work 43
 
Gestalt Principles 46
 
Color Theory 48
 
The Power of White Space 53
 
Where People Look 54
 
Summary 54
 
Chapter 5 Table Design Checklist 55
 
Fundamentals of Table Design 55
 
Organization/Categorization 55
 
Non-Data Ink 56
 
Fonts 56
 
Number Alignment and Formatting 56
 
Labels 58
 
Summary 58
 
Chapter 6 Powerful Visualizations in Four Shapes 59
 
Bars, Lines, Points, and Boxes 59
 
Shape One: Bars 61
 
Bar Basics 61
 
Using Bars To: See How You're Doing 63
 
Distributions 63
 
Histograms 63
 
Population Pyramid (Paired Bars) 65
 
Ranking 67
 
Change over Time 68
 
Comparing Multiple Data Points 70
 
Proportions | Part-to-Whole 71
 
Challenging the 100% Myth 73
 
Deviation (Difference, Variation) 73
 
Ranges and Comparative Values 74
 
Displaying the Vital Few: Pareto Charts 77
 
Bars Are Not Boring 78
 
Shape Two: Lines 79
 
Line Basics 79
 
Using Lines To: See How You're Doing 83
 
As a Reference | Comparison 83
 
Change over Time 84
 
Change over Time | Sparklines 86
 
Change over Time | Deviation Graphs 87
 
Distributions 88
 
Distributions | The Empirical Rule and Control Charts 88
 
Statistical Process Control Charts (SPCs) and Geometric (G) Charts 90
 
Relationships | Correlations 91
 
Shape Three: Points 92
 
Point Basics 92
 
Using Points To: See How You're Doing 94
 
Distributions 94
 
Revealing Details 95
 
Change over Time 96
 
Correlation 96
 
Hierarchy Quadrant 97
 
Location Details 98
 
Shape Four: Boxes 98
 
Box Basics 99
 
Using Boxes To: See How You're Doing 99
 
Distribution 99
 
Multiple Values 100
 
Change over Time and Utilization Rates 101
 
Hierarchical Data 101
 
Other Shapes 102
 
Summary 103
 
Chapter 7 Maps 105
 
Using Maps to Gain Insights 105
&

Info autore

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.

Dettagli sul prodotto

• Autori: Lindsay Betzendahl, Cambria Brown, Katherine Rowell, Katherine Betzendahl Rowell
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 17.12.2020
• EAN: 9781119680888
• ISBN: 978-1-119-68088-8
• Pagine: 240
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Wirtschaftsinformatik, Informatik, Datenanalyse, Visualisierung, Healthcare, computer science, Datenvisualisierung, health care, Business Data Processing