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Visualizing Health and Healthcare Data

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"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."

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,Table of Contents
1. Cover
2. Preface
3. SECTION ONE: Establishing a Framework and Process
1. Chapter One: Health and Healthcare Data Visualizations of Historical Importance
2. Chapter Two: Stop Hunting Unicorns and Start Building Teams and Know The
Data
1. Search for Characteristics and Core Competencies
2. Get to Know the Data
3. Classifications, Intent, Purpose, and Lineage
4. Two Types of Data
5. Scales/Levels of Measure
6. Summary
3. Chapter Three: Requirements-Gathering and Design Methods
1. Design Thinking Foundational Concepts
2. Design Methods
3. Contextual Inquiry
4. Mental Models
5. Personas
6. Persona Creation Guide
7. Graphic Organizers
8. Sketching
9. Prototyping
10. Testing
11. Summary
4. SECTION TWO: Perceiving the Best Practices of Data Visualization
1. Chapter Four: The Research
1. Research Informs Data Visualization Best Practices
2. Summary
2. Chapter Five: Table Design Checklist
1. Fundamentals of Table Design
2. Summary
3. Chapter Six: Powerful Visualizations in Four Shapes
1. Bars, Lines, Points, and Boxes
2. Shape One: Bars
3. Using Bars To: See How You're Doing
4. Shape Two: Lines
5. Using Lines To: See How You're Doing
6. Shape Three: Points
7. Using Points To: See How You're Doing
8. Shape Four: Boxes
9. Using Boxes To: See How You're Doing
10. Other Shapes
11. Summary

, 4. Chapter Seven: Maps
1. Using Maps to Gain Insights
2. When Not to Use a Map
3. Summary
5. Chapter Eight: Graphs and Charts to Never Use or Use with Caution
1. When “Cool Displays” Are Anything But
2. Pie and Donut Charts
3. Multiples of Several-Part Stacked Bar Charts (MSPSBCs)
4. Bubble Charts
5. Treemaps
6. Marimekko (Mekko or Mosaic) Charts
7. Radial Bar and Petal Charts
8. Radar Charts
9. Sankey Diagrams
10. One More Thing: 3-D
11. Summary
6. Chapter Nine: Making Accessible Visualizations
1. Accessible Design Is Good Design
2. Accessibility in Data Visualization
3. Ways to Make Accessible Data Visualizations
4. Summary
5. SECTION THREE: Creating Compelling Data Displays
1. Chapter Ten: Dashboards, Reports, and Multidimensional Exploratory Displays
(MEDs™)
1. Definitions Matter
2. Dashboards
3. Reports
4. Multidimensional Exploratory Displays (MEDs™)
5. MEDs™ Defined
6. Summary
2. Chapter Eleven: Infographics
1. “No Tobacco Day” Infographic
2. Measles and Vaccinations Infographic
3. Infographic vs. Infoposter
4. Summary
6. SECTION FOUR: Closing Thoughts and Recommended Reading and Resources
1. Closing Thoughts
1. Fluency and Mastery
2. Bitten by the Viz Bug | Recommended Reading and Resources
1. Recommended Reading
2. Resources
3. Accessibility Resources
7. Author Bios
8. References
1. Introduction
2. Chapter 3

, 3. Chapter 4
4. Chapter 6
5. Chapter 7
6. Chapter 8
7. Chapter 9
8. Chapter 10
9. Chapter 11
10. Closing Thoughts
9. Index
10. End User License Agreement

List of Illustrations
1. Chapter 3
1. FIGURE 3.1 Personas help designers remember the needs of the people for whom...
2. FIGURE 3.2 Guided analytics framework.
3. FIGURE 3.3 Sketching is a low-cost, low-risk, quick-and-easy way to experime...
2. Chapter 4
1. FIGURE 4.1 A drop in human attention span makes it imperative that data visu...
2. FIGURE 4.2 Examples of preattentive attributes.
3. FIGURE 4.3 Table listing annual expenditures.
4. FIGURE 4.4 Table using preattentive attribute (Color).
5. FIGURE 4.5 Preattentive attribute of length in a bar chart.
6. FIGURE 4.6 Gestalt Principles.
7. FIGURE 4.7 Three components of color.
8. FIGURE 4.8 Three types of color gradients.
9. FIGURE 4.9 Color gradient examples.
3. Chapter 5
1. FIGURE 5.1 Reduce non-data ink and make data the focus.
2. FIGURE 5.2 Summarize headings and orient them horizontally so they are easy ...
4. Chapter 6
1. FIGURE 6.1 Four fundamental shapes are the foundation of great data visualiz...
2. FIGURE 6.2 Icons are used to indicate graphs and charts to never use, or use...
3. FIGURE 6.3 Bar graphs must start at zero.
4. FIGURE 6.4 Bars may be oriented horizontally or vertically.
5. FIGURE 6.5 Histograms show frequency distributions of data.
6. FIGURE 6.6 Careful attention must be paid to histogram bin labels and sizes....
7. FIGURE 6.7 Population pyramids are also sometimes called paired bar charts....
8. FIGURE 6.8 Bar charts may be used to display unsorted or some sorted or rank...
9. FIGURE 6.9 Bars may sometimes be used to display time series data.
10. FIGURE 6.10 Small multiples are often a good choice to display different cat...
11. FIGURE 6.11 Stacked bar charts with more than three parts should be avoided....
12. FIGURE 6.12 Small multiples provide a great solution for displaying parts-to...
13. FIGURE 6.13 Deviation charts make it easy to see differences and variations....
14. FIGURE 6.14 Floating bars and bullet graphs help to display ranges and compa...
15. FIGURE 6.15 Side-by-side bar charts may be created to show wide ranges of da...

Información del documento

Subido en
7 de agosto de 2024
Número de páginas
143
Escrito en
2020/2021
Tipo
Presentación
Personaje
Desconocido
$5.49

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