{"product_id":"visualizing-health-and-healthcare-data-isbn-9781119680888","title":"Visualizing Health and Healthcare Data","description":"\u003cp\u003e\u003cb\u003eThe only data visualization book written by and for health and healthcare professionals.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eVisualizing Health and Healthcare Data: Creating Clear and Compelling Visualizations to \"See how You're Doing\"\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eLearn how to build beautiful and useful  data products that deliver powerful insights for the end user\u003c\/li\u003e \u003cli\u003eFollow along with examples of data visualization best practices, including table and graph design for health and healthcare data\u003c\/li\u003e \u003cli\u003eLearn the difference between dashboards, reports, multidimensional exploratory displays and infographics (and why it matters)\u003c\/li\u003e \u003cli\u003eAvoid common mistakes in data visualization by learning why they do not work and better ways to display the data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten 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.\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection I Establishing a Framework and Process 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Health and Healthcare Data Visualizations of Historical Importance 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Stop Hunting Unicorns and Start Building Teams and Know The Data 9\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSearch for Characteristics and Core Competencies 10\u003c\/p\u003e \u003cp\u003eGet to Know the Data 11\u003c\/p\u003e \u003cp\u003eClassifications, Intent, Purpose, and Lineage 12\u003c\/p\u003e \u003cp\u003eTwo Types of Data 14\u003c\/p\u003e \u003cp\u003eQualitative\/Categorical Data 14\u003c\/p\u003e \u003cp\u003eQuantitative\/Numerical Data 14\u003c\/p\u003e \u003cp\u003eScales\/Levels of Measure 15\u003c\/p\u003e \u003cp\u003eNominal 15\u003c\/p\u003e \u003cp\u003eOrdinal 16\u003c\/p\u003e \u003cp\u003eInterval 17\u003c\/p\u003e \u003cp\u003eRatio 18\u003c\/p\u003e \u003cp\u003eSummary 19\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Requirements-Gathering and Design Methods 21\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDesign Thinking Foundational Concepts 22\u003c\/p\u003e \u003cp\u003eDesign Methods 23\u003c\/p\u003e \u003cp\u003eContextual Inquiry 23\u003c\/p\u003e \u003cp\u003eMental Models 24\u003c\/p\u003e \u003cp\u003ePersonas 26\u003c\/p\u003e \u003cp\u003ePersona Creation Guide 27\u003c\/p\u003e \u003cp\u003eGraphic Organizers 29\u003c\/p\u003e \u003cp\u003eGuided Analytics Framework 29\u003c\/p\u003e \u003cp\u003eSummary Overview Dashboard 30\u003c\/p\u003e \u003cp\u003eSupporting Focused Reports 30\u003c\/p\u003e \u003cp\u003eDetails 31\u003c\/p\u003e \u003cp\u003eMultidimensional Exploratory Displays (MEDs™) 31\u003c\/p\u003e \u003cp\u003eSketching 32\u003c\/p\u003e \u003cp\u003ePrototyping 33\u003c\/p\u003e \u003cp\u003eTesting 34\u003c\/p\u003e \u003cp\u003eSummary 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection II Perceiving the Best Practices of Data Visualization 37\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 The Research 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Informs Data Visualization Best Practices 39\u003c\/p\u003e \u003cp\u003ePreattentive Attributes 41\u003c\/p\u003e \u003cp\u003ePreattentive Attributes at Work 43\u003c\/p\u003e \u003cp\u003eGestalt Principles 46\u003c\/p\u003e \u003cp\u003eColor Theory 48\u003c\/p\u003e \u003cp\u003eThe Power of White Space 53\u003c\/p\u003e \u003cp\u003eWhere People Look 54\u003c\/p\u003e \u003cp\u003eSummary 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Table Design Checklist 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFundamentals of Table Design 55\u003c\/p\u003e \u003cp\u003eOrganization\/Categorization 55\u003c\/p\u003e \u003cp\u003eNon-Data Ink 56\u003c\/p\u003e \u003cp\u003eFonts 56\u003c\/p\u003e \u003cp\u003eNumber Alignment and Formatting 56\u003c\/p\u003e \u003cp\u003eLabels 58\u003c\/p\u003e \u003cp\u003eSummary 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Powerful Visualizations in Four Shapes 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBars, Lines, Points, and Boxes 59\u003c\/p\u003e \u003cp\u003eShape One: Bars 61\u003c\/p\u003e \u003cp\u003eBar Basics 61\u003c\/p\u003e \u003cp\u003eUsing Bars To: See How You’re Doing 63\u003c\/p\u003e \u003cp\u003eDistributions 63\u003c\/p\u003e \u003cp\u003eHistograms 63\u003c\/p\u003e \u003cp\u003ePopulation Pyramid (Paired Bars) 65\u003c\/p\u003e \u003cp\u003eRanking 67\u003c\/p\u003e \u003cp\u003eChange over Time 68\u003c\/p\u003e \u003cp\u003eComparing Multiple Data Points 70\u003c\/p\u003e \u003cp\u003eProportions | Part-to-Whole 71\u003c\/p\u003e \u003cp\u003eChallenging the 100% Myth 73\u003c\/p\u003e \u003cp\u003eDeviation (Difference, Variation) 73\u003c\/p\u003e \u003cp\u003eRanges and Comparative Values 74\u003c\/p\u003e \u003cp\u003eDisplaying the Vital Few: Pareto Charts 77\u003c\/p\u003e \u003cp\u003eBars Are Not Boring 78\u003c\/p\u003e \u003cp\u003eShape Two: Lines 79\u003c\/p\u003e \u003cp\u003eLine Basics 79\u003c\/p\u003e \u003cp\u003eUsing Lines To: See How You’re Doing 83\u003c\/p\u003e \u003cp\u003eAs a Reference | Comparison 83\u003c\/p\u003e \u003cp\u003eChange over Time 84\u003c\/p\u003e \u003cp\u003eChange over Time | Sparklines 86\u003c\/p\u003e \u003cp\u003eChange over Time | Deviation Graphs 87\u003c\/p\u003e \u003cp\u003eDistributions 88\u003c\/p\u003e \u003cp\u003eDistributions | The Empirical Rule and Control Charts 88\u003c\/p\u003e \u003cp\u003eStatistical Process Control Charts (SPCs) and Geometric (G) Charts 90\u003c\/p\u003e \u003cp\u003eRelationships | Correlations 91\u003c\/p\u003e \u003cp\u003eShape Three: Points 92\u003c\/p\u003e \u003cp\u003ePoint Basics 92\u003c\/p\u003e \u003cp\u003eUsing Points To: See How You’re Doing 94\u003c\/p\u003e \u003cp\u003eDistributions 94\u003c\/p\u003e \u003cp\u003eRevealing Details 95\u003c\/p\u003e \u003cp\u003eChange over Time 96\u003c\/p\u003e \u003cp\u003eCorrelation 96\u003c\/p\u003e \u003cp\u003eHierarchy Quadrant 97\u003c\/p\u003e \u003cp\u003eLocation Details 98\u003c\/p\u003e \u003cp\u003eShape Four: Boxes 98\u003c\/p\u003e \u003cp\u003eBox Basics 99\u003c\/p\u003e \u003cp\u003eUsing Boxes To: See How You’re Doing 99\u003c\/p\u003e \u003cp\u003eDistribution 99\u003c\/p\u003e \u003cp\u003eMultiple Values 100\u003c\/p\u003e \u003cp\u003eChange over Time and Utilization Rates 101\u003c\/p\u003e \u003cp\u003eHierarchical Data 101\u003c\/p\u003e \u003cp\u003eOther Shapes 102\u003c\/p\u003e \u003cp\u003eSummary 103\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Maps 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Maps to Gain Insights 105\u003c\/p\u003e \u003cp\u003eGeographic Maps 105\u003c\/p\u003e \u003cp\u003eChoropleth Maps 106\u003c\/p\u003e \u003cp\u003eHex-Tile Maps 109\u003c\/p\u003e \u003cp\u003eSymbol\/Dot-Density Maps 110\u003c\/p\u003e \u003cp\u003eProportional Symbol Maps 112\u003c\/p\u003e \u003cp\u003eWhen Not to Use a Map 113\u003c\/p\u003e \u003cp\u003eSummary 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Graphs and Charts to Never Use or Use with Caution 115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhen “Cool Displays” Are Anything But 115\u003c\/p\u003e \u003cp\u003ePie and Donut Charts 117\u003c\/p\u003e \u003cp\u003eWhy People Use Them 117\u003c\/p\u003e \u003cp\u003eCharacteristics 118\u003c\/p\u003e \u003cp\u003eChallenges 118\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 119\u003c\/p\u003e \u003cp\u003eMultiples of Several-Part Stacked Bar Charts (MSPSBCs) 121\u003c\/p\u003e \u003cp\u003eWhy People Use Them 121\u003c\/p\u003e \u003cp\u003eCharacteristics 121\u003c\/p\u003e \u003cp\u003eChallenges 121\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 124\u003c\/p\u003e \u003cp\u003eBubble Charts 124\u003c\/p\u003e \u003cp\u003eWhy People Use Them 124\u003c\/p\u003e \u003cp\u003eCharacteristics 125\u003c\/p\u003e \u003cp\u003eChallenges 125\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 126\u003c\/p\u003e \u003cp\u003eTreemaps 128\u003c\/p\u003e \u003cp\u003eWhy People Use Them 128\u003c\/p\u003e \u003cp\u003eCharacteristics 129\u003c\/p\u003e \u003cp\u003eChallenges 129\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 130\u003c\/p\u003e \u003cp\u003eMarimekko (Mekko or Mosaic) Charts 132\u003c\/p\u003e \u003cp\u003eWhy People Use Them 132\u003c\/p\u003e \u003cp\u003eCharacteristics 132\u003c\/p\u003e \u003cp\u003eChallenges 134\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 134\u003c\/p\u003e \u003cp\u003eRadial Bar and Petal Charts 134\u003c\/p\u003e \u003cp\u003eWhy People Use Them 134\u003c\/p\u003e \u003cp\u003eCharacteristics 135\u003c\/p\u003e \u003cp\u003eChallenges 135\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 136\u003c\/p\u003e \u003cp\u003eRadar Charts 138\u003c\/p\u003e \u003cp\u003eWhy People Use Them 138\u003c\/p\u003e \u003cp\u003eCharacteristics 138\u003c\/p\u003e \u003cp\u003eChallenges 138\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 139\u003c\/p\u003e \u003cp\u003eSankey Diagrams 141\u003c\/p\u003e \u003cp\u003eWhy People Use Them 141\u003c\/p\u003e \u003cp\u003eCharacteristics 141\u003c\/p\u003e \u003cp\u003eChallenges 142\u003c\/p\u003e \u003cp\u003eBest Practice Alternative 144\u003c\/p\u003e \u003cp\u003eOne More Thing: 3-D 145\u003c\/p\u003e \u003cp\u003eSummary 146\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Making Accessible Visualizations 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAccessible Design is Good Design 149\u003c\/p\u003e \u003cp\u003eAccessibility in Data Visualization 150\u003c\/p\u003e \u003cp\u003eWays to Make Accessible Data Visualizations 151\u003c\/p\u003e \u003cp\u003eSummary 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection III Creating Compelling Data Displays 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Dashboards, Reports, and Multidimensional Exploratory Displays (MEDs™) 161\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDefinitions Matter 161\u003c\/p\u003e \u003cp\u003eDashboards 162\u003c\/p\u003e \u003cp\u003eDashboards Defined 162\u003c\/p\u003e \u003cp\u003ePurpose\/Objective 162\u003c\/p\u003e \u003cp\u003eData\/Information 163\u003c\/p\u003e \u003cp\u003eDesign 164\u003c\/p\u003e \u003cp\u003eExample Dashboards 165\u003c\/p\u003e \u003cp\u003eDashboard Summary 169\u003c\/p\u003e \u003cp\u003eReports 170\u003c\/p\u003e \u003cp\u003eReports Defined 170\u003c\/p\u003e \u003cp\u003ePurpose\/Objective 170\u003c\/p\u003e \u003cp\u003eDesign 170\u003c\/p\u003e \u003cp\u003eExample Reports 171\u003c\/p\u003e \u003cp\u003eReport Summary 176\u003c\/p\u003e \u003cp\u003eMultidimensional Exploratory Displays (MEDs™) 176\u003c\/p\u003e \u003cp\u003eMEDs™ Defined 177\u003c\/p\u003e \u003cp\u003ePurpose\/Objective 177\u003c\/p\u003e \u003cp\u003eDesign 177\u003c\/p\u003e \u003cp\u003eExample MED™ 177\u003c\/p\u003e \u003cp\u003eMEDs™ Summary 184\u003c\/p\u003e \u003cp\u003eSummary 184\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Infographics 185\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"No Tobacco Day\" Infographic 186\u003c\/p\u003e \u003cp\u003eMeasles and Vaccinations Infographic 188\u003c\/p\u003e \u003cp\u003eInfographic vs. Infoposter 191\u003c\/p\u003e \u003cp\u003eSummary 194\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection IV Closing Thoughts and Recommended Reading and Resources 195\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eClosing Thoughts 197\u003c\/p\u003e \u003cp\u003eFluency and Mastery 197\u003c\/p\u003e \u003cp\u003eBitten by the Viz Bug | Recommended Reading and Resources 199\u003c\/p\u003e \u003cp\u003eRecommended Reading 199\u003c\/p\u003e \u003cp\u003eResources 201\u003c\/p\u003e \u003cp\u003eAccessibility Resources 202\u003c\/p\u003e \u003cp\u003eAuthor Bios 203\u003c\/p\u003e \u003cp\u003eReferences 207\u003c\/p\u003e \u003cp\u003eIndex 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKathy Rowell\u003c\/b\u003e 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 \u003ci\u003eBest Boring Book Ever (BBBE) of Healthcare Classification Systems and Databases\u003c\/i\u003e, and \u003ci\u003eBBBE of Tableau for Healthcare Professionals\u003c\/i\u003e, which are used by numerous colleges and universities and professional organizations to teach and train students and professionals.\u003cbr\u003eKathy 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.\"\u003c\/p\u003e \u003cp\u003eWith 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, \u003cb\u003eLindsay\u003c\/b\u003e 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.\u003cbr\u003eLindsay 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCambria Brown\u003c\/b\u003e 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.\u003cbr\u003eAs 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 \u0026amp; Science University. She lives in Colorado where, when not data vizzing, she enjoys going on adventures with her husband and two children.\u003c\/p\u003e  \u003cp\u003e\u003cb\u003ePraise for visualizing health and healthcare data\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\"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.\"\u003cbr\u003e \u003cb\u003e —Rimma Belenkaya, MA, MS,\u003c\/b\u003e Knowledge Management, Data Modeling, and Data Quality Assurance, Memorial Sloan Kettering Cancer Center \u003c\/p\u003e\u003cp\u003e\"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!\"\u003cbr\u003e \u003cb\u003e —Jennifer Daley, MD, FACP,\u003c\/b\u003e Market Medical Executive, Cigna \u003c\/p\u003e\u003cp\u003e\"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.\"\u003cbr\u003e \u003cb\u003e —Thomas White, MD, MS, CHIE,\u003c\/b\u003e Clinical Data Science and Insights, MedStar Health \u003c\/p\u003e\u003cp\u003e\"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.\"\u003cbr\u003e \u003cb\u003e —Bill Shander,\u003c\/b\u003e Information Designer; LinkedIn Learning Instructor of Data Storytelling and Visualization; Board Member, Data Visualization Society \u003c\/p\u003e\u003cp\u003e\"\u003ci\u003eVisualizing Health and Healthcare Data\u003c\/i\u003e 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.\"\u003cbr\u003e \u003cb\u003e —Jeffrey Shaffer,\u003c\/b\u003e author, \u003ci\u003eBig Book of Dashboards\u003c\/i\u003e; adjunct professor, University of Cincinnati; Chief Operating Officer, Unifund\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990459531493,"sku":"NP9781119680888","price":39.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119680888.jpg?v=1761787914","url":"https:\/\/k12savings.com\/es\/products\/visualizing-health-and-healthcare-data-isbn-9781119680888","provider":"K12savings","version":"1.0","type":"link"}