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E-raamat: Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to "e;See How You're Doing"e;

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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 12-Oct-2020
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781119680864
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Visualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to &quote;See How You're Doing&quote;Suurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 12-Oct-2020
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781119680864
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"Data Visualization for Health and Healthcare Professionals is a one-of-a-kind book addressing the best practices of data visualization for on-the-go healthcare professionals and their staffs. It provides: A high-level summary discussion of health and healthcare data. A high-level overview of the research about visual intelligence and how humans see and understand data and information visually. "Don't Do This, Do This" scenarios. Clear and detailed explanations of the best practices of table and graph design, including examples of the most common mistakes and clear explanations about why they don't work, followed by examples of what does and why content is designed so learners quickly and more fully grasp the concepts and embrace and apply the best practices to their work. Content addresses strategies and techniques for building useful and beautiful dashboard, including real-life examples of reports and dashboards, which deliver true guided analytics for the end user"--

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.

Preface xiii
Section I Establishing a Framework and Process
1(36)
Chapter 1 Health and Healthcare Data Visualizations of Historical Importance
3(6)
Chapter 2 Stop Hunting Unicorns and Start Building Teams and Know The Data
9(12)
Search for Characteristics and Core Competencies
10(1)
Get to Know the Data
11(1)
Classifications, Intent, Purpose, and Lineage
12(2)
Two Types of Data
14(1)
Qualitative/Categorical Data
14(1)
Quantitative/Numerical Data
14(1)
Scales/Levels of Measure
15(4)
Nominal
15(1)
Ordinal
16(1)
Interval
17(1)
Ratio
18(1)
Summary
19(2)
Chapter 3 Requirements-Gathering and Design Methods
21(16)
Design Thinking Foundational Concepts
22(1)
Design Methods
23(1)
Contextual Inquiry
23(1)
Mental Models
24(2)
Personas
26(1)
Persona Creation Guide
27(2)
Graphic Organizers
29(3)
Guided Analytics Framework
29(1)
Summary Overview Dashboard
30(1)
Supporting Focused Reports
30(1)
Details
31(1)
Multidimensional Exploratory Displays (MEDs™)
31(1)
Sketching
32(1)
Prototyping
33(1)
Testing
34(2)
Summary
36(1)
Section II Perceiving the Best Practices of Data Visualization
37(122)
Chapter 4 The Research
39(16)
Research Informs Data Visualization Best Practices
39(15)
Preattentive Attributes
41(2)
Preattentive Attributes at Work
43(3)
Gestalt Principles
46(2)
Color Theory
48(5)
The Power of White Space
53(1)
Where People Look
54(1)
Summary
54(1)
Chapter 5 Table Design Checklist
55(4)
Fundamentals of Table Design
55(3)
Organization/Categorization
55(1)
Non-Data Ink
56(1)
Fonts
56(1)
Number Alignment and Formatting
56(2)
Labels
58(1)
Summary
58(1)
Chapter 6 Powerful Visualizations in Four Shapes
59(46)
Bars, Lines, Points, and Boxes
59(2)
Shape One Bars
61(2)
Bar Basics
61(2)
Using Bars To: See How You're Doing
63(16)
Distributions
63(1)
Histograms
63(2)
Population Pyramid (Paired Bars)
65(2)
Ranking
67(1)
Change over Time
68(2)
Comparing Multiple Data Points
70(1)
Proportions | Part-to-Whole
71(2)
Challenging the 100% Myth
73(1)
Deviation (Difference, Variation)
73(1)
Ranges and Comparative Values
74(3)
Displaying the Vital Few: Pareto Charts
77(1)
Bars Are Not Boring
78(1)
Shape Two Lines
79(13)
Line Basics
79(4)
Using Lines To: See How You're Doing
83(1)
As a Reference: Comparison
83(1)
Change over Time
84(2)
Change over Time: Sparklines
86(1)
Change over Time: Deviation Graphs
87(1)
Distributions
88(1)
Distributions: The Empirical Rule and Control Charts
88(2)
Statistical Process Control Charts (SPCs) and Geometric (G) Charts
90(1)
Relationships: Correlations
91(1)
Shape Three Points
92(6)
Point Basics
92(2)
Using Points To: See How You're Doing
94(1)
Distributions
94(1)
Revealing Details
95(1)
Change over Time
96(1)
Correlation
96(1)
Hierarchy Quadrant
97(1)
Location Details
98(1)
Shape Four Boxes
98(4)
Box Basics
99(1)
Using Boxes To: See How You're Doing
99(1)
Distribution
99(1)
Multiple Values
100(1)
Change over Time and Utilization Rates
101(1)
Hierarchical Data
101(1)
Other Shapes
102(1)
Summary
103(2)
Chapter 7 Maps
105(10)
Using Maps to Gain Insights
105(8)
Geographic Maps
105(1)
Choropleth Maps
106(3)
Hex-Tile Maps
109(1)
Symbol/Dot-Density Maps
110(2)
Proportional Symbol Maps
112(1)
When Not to Use a Map
113(1)
Summary
114(1)
Chapter 8 Graphs and Charts to Never Use or Use with Caution
115(34)
When "Cool Displays" Are Anything But
115(2)
Pie and Donut Charts
117(4)
Why People Use Them
117(1)
Characteristics
118(1)
Challenges
118(1)
Best Practice Alternative
119(2)
Multiples of Several-Part Stacked Bar Charts (MSPSBCs)
121(3)
Why People Use Them
121(1)
Characteristics
121(1)
Challenges
121(3)
Best Practice Alternative
124(1)
Bubble Charts
124(4)
Why People Use Them
124(1)
Characteristics
125(1)
Challenges
125(1)
Best Practice Alternative
126(2)
Treemaps
128(4)
Why People Use Them
128(1)
Characteristics
129(1)
Challenges
129(1)
Best Practice Alternative
130(2)
Marimekko (Mekko or Mosaic) Charts
132(2)
Why People Use Them
132(1)
Characteristics
132(2)
Challenges
134(1)
Best Practice Alternative
134(1)
Radial Bar and Petal Charts
134(4)
Why People Use Them
134(1)
Characteristics
135(1)
Challenges
135(1)
Best Practice Alternative
136(2)
Radar Charts
138(3)
Why People Use Them
138(1)
Characteristics
138(1)
Challenges
138(1)
Best Practice Alternative
139(2)
Sankey Diagrams
141(4)
Why People Use Them
141(1)
Characteristics
141(1)
Challenges
142(2)
Best Practice Alternative
144(1)
One More Thing: 3-D
145(1)
Summary
146(3)
Chapter 9 Making Accessible Visualizations
149(10)
Accessible Design Is Good Design
149(1)
Accessibility in Data Visualization
150(1)
Ways to Make Accessible Data Visualizations
151(7)
Summary
158(1)
Section III Creating Compelling Data Displays
159(36)
Chapter 10 Dashboards, Reports, and Multidimensional Exploratory Displays (MEDs™)
161(24)
Definitions Matter
161(1)
Dashboards
162(8)
Dashboards Defined
162(1)
Purpose/Objective
162(1)
Data/Information
163(1)
Design
164(1)
Example Dashboards
165(4)
Dashboard Summary
169(1)
Reports
170(6)
Reports Defined
170(1)
Purpose/Objective
170(1)
Design
170(1)
Example Reports
171(5)
Report Summary
176(1)
Multidimensional Exploratory Displays (MEDs™)
176(1)
MEDs™ Defined
177(7)
Purpose/Objective
177(1)
Design
177(1)
Example MED™
177(7)
MEDs™ Summary
184(1)
Summary
184(1)
Chapter 11 Infographics
185(10)
"No Tobacco Day" Infographic
186(2)
Measles and Vaccinations Infographic
188(3)
Infographic vs. Infoposter
191(3)
Summary
194(1)
Section IV Closing Thoughts and Recommended Reading and Resources
195(12)
Closing Thoughts
197(1)
Fluency and Mastery
197(2)
Bitten by the Viz Bug | Recommended Reading and Resources
199(1)
Recommended Reading
199(2)
Resources
201(1)
Accessibility Resources
202(1)
Author Bios
203(4)
References 207(4)
Index 211
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 Childrens 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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