The American way of producing health is failing. It continues to rank very low among developed countries on our most vital need…to live a long and healthy life. Despite the well-intentioned actions on the part of government, life sciences, and technology, the most important resource for achieving our full health potential is ourselves. This book is about how you can do so, and how others can help you. Dwight McNeill introduces person-centered health analytics (pchA) and shows how you can use it to master five everyday behaviors that cause and perpetuate most chronic diseases.   Using Person-Centered Health Analytics to Live Longer combines deep insight, a comprehensive framework, and practical tools for living longer and healthier lives. It offers a clear path forward for both individuals and stakeholders, including providers, payers, health promotion companies, technology innovators, government, and analytics practitioners.

Table of Contents:
Introduction   1 Background   4 Solutions   7 Toolkit for People   7 Opportunities Portfolio for Stakeholders   12   Stakeholders   12 Barriers to Widespread Adoption of pchA   13 Areas of Opportunity   14 Visualize SOPrDiMoCa   14 Design for People   15 Tailor Best Fit   15 Sustain Passively and Actively   16 Discover Alien Intelligence   16 Extend...Don’t Stand Alone   17 Shape Momentum   17 Rework Hackathons   18 Assure Privacy   18 Welcome Aboard   19 PART I:  IMPROVING HEALTH OUTCOMES: THE FUSION OF HEALTH, ENGAGEMENT, DEMOCRACY, TECHNOLOGY, AND BEHAVIOR   21 Chapter 1  It’s About Health Outcomes   25 Health Care’s Veiled Purpose   25 Measuring Health Outcomes   27 The Uneasy Business of Health Outcomes   31 Missed Opportunities   31 New Pressures on the Business and Analytics   34 Occupy Health Care   36 Rebuilding the System   36 Generation Unmoored   37 Taking Off the White Coat   39 Chapter 2  More Prevention, Less Treatment   43 It Has to Be More about Health than Health Care   43 More Prevention, Less Treatment   44 More Upstream, Less Downstream   45 More Socialized, Less Medicalized   46 More Systems Thinking, Less Siloes   49 More People, Less Patients   51 Personal Behavior = 67   51 Chronic Diseases “R” Us   51 Measuring Burden and Risk   53 Learning from Finland (Maybe   56 Let’s Get Back to the 67   57 Everyone’s Eyes on Five Behaviors   58 Five Behaviors and the 20% Rule   58 Whose Responsibility Is It   62 A Culture of Health   62 Chapter 3  Driving Health through Engagement   65 Integrating Our Four Selves in Health   65 Consumer   66 Patient   67 Citizen   68 Customer   69 Our Integrated Self   69 Patient Engagement: What, Why, and Why Not   70 What Is Patient Engagement   71 Why Patient Engagement   72 Why Is Patient Engagement So Rare   73 Making Patient Engagement Work Better   76 What Health Care Organizations Can Do   76 What Patients Should Do   83 Becoming Un-Patient   84 Chapter 4  Forces of Democracy for Health   87 Data Truths   87 Whole Health Catalogue   87 Show Me the Data   88 The Case of 23andMe   90 Am I Lab Worthy   91 Superconsumers   92 A Caveat on Self-Service   94 Redirecting Our Free Time   95 Crossing the Gap   97 Relying on Me...and We   98 Health Social Networks   99 Examples of Health Social Networks   100 Observations   104 Chapter 5  High-Definition (HD) Health Data   105 Overview   105 pchA Data   105 pchA Technical Cornerstones   106 Beyond Personalized Medicine   107 Genomics   108 Consumer Genomics   110 What’s a Person to Do   113 Sensors   114 Not Ubiquitous, but Promising   116 Achieving Results with Sensors   117 Finally...Proof   121 HIT and Health Records   122 Electronic Health Records   123 Challenges   124 Kaiser Permanente   125 Personal Health Records (PHRs   125 Two Best Practices: Blue Button and My Health Manager   127 The Connection between Data Availability and Quality of Care   129 Chapter 6  The BIG Challenge of Behavior Change   131 Paternalism   132 Making Behavioral Changes Happen   134 An Example: CAD   134 Approaches to Behavior Change   135 Comprehensive Modulate Programs   138 Integrative Lifestyle Medicine   138 Stages of Change   139 Trusted Peers   141 Common Features   143 New Wave: Behavioral Economics   144 Connected Devices and Apps   146 Social Networks   147 Gamification   148 Overall: Promise and Pitfalls   149 Analytics to Support Behavioral Change   150 Opportunities/Challenges   151 PART II:  BUILDING THE TOOLKIT FOR PERSON-CENTERED HEALTH ANALYTICS   155 Chapter 7  Getting Started with the Toolkit   159 Driving Directions   160 Knowing Me   160 Protecting Health   160 Minding Illness   161 Managing Data   161 Rules for the Road: A Top-Ten List   162 Chapter 8  Driving Directions   165 The Five Stages of Change   165 Chapter 9  Knowing Me   171 Health Status and Risks   172 Annual Physical Exam   172 Health Risk Assessment (HRAs   174 Well-Being Measurement   177 Genomic Health Risks (Optional   180 Engagement and Self-Care   182 Patient Activation   182 Social Risks   185 Personality   188 Analytics Capabilities   189 Health Literacy   191 eHealth Literacy   192 Digital Competencies   193 Summary of Knowing Me Toolkit   195 Chapter 10  Protecting Health   197 Self-Monitoring   200 Sitting   201 Eating   204 Smoking   206 Drinking   207 Information   208 Summary of Protecting Health Toolkit   210 Chapter 11  Minding Illness   213 Self-Monitoring   216 Diabetes   216 Ischemic Heart Disease   220 Taking Medications   222 Self-Triage and Peer Communities   224 Self-Triage   224 Peer Communities   228 Summary of Minding Illness Toolkit   230 Chapter 12  Managing Data   233 Get Data   234 Portals   236 Services   238 Choosing Providers   241 Store Data   244 What Needs to Be Stored   246 How to Store It   248 Protect Data   251 Computer Hygiene   253 Social Media   254 pchA   255 Summary of Managing Data Toolkit   259 PART III:  STAKEHOLDERS SUPPORTING PERSON-CENTERED HEALTH ANALYTICS   261 Chapter 13  Stakeholders: Influencing the Adoption of pchA   263 Roles of Key Stakeholders   264 Health Care Providers   265 Health Companies   266 Health Insurers   267 Government   268 Technology   269 Working Together   270 Chapter 14  Barriers to Widespread Adoption of pchA   271 Physician Practice   272 Value for the Patient   272 Help or Hinder Practice   273 Organizational Integration and Approval   273 Payment and Cost   274 Reimbursement   275 Payment System   276 Cost   276 Proof   277 Tools Ordered by Doctors   277 Tools That Substitute for Doctors   278 Nonmedical Tools   278 Proof Summary   279 Pleasing the Customer   279 The Fizz in Digital Health Product Development   279 The Fizzle in Consumer Demand   280 From Slick and Click...to Tick and Stick   282 The Job Consumers Are Trying to Do   283 Privacy   284 Obfuscation   284 The Feds Taking Notice   285 Chapter 15  Opportunities for Stakeholders to Advance pchA   287 Visualize SOPrDiMoCa   287 Design for People   289   Understanding the Customer   290 Multiple Methods for Designing for People   290 Tailor Best Fit   291 Learning from Radical Personalization   292 All the Data That’s Fit for Modeling   293 Sustain Passively and Actively   294 Sustain Passively   294 Sustain Actively   295 Discover Alien Intelligence   296 AI Maturity, Finally   296 AI for Health   297 Extend...Don’t Stand Alone   298 Integrated Systems   298 Health Management Programs   299 Medicare and the ACA   300 Shape Momentum   300 Government Actions   301 Multisector Partnerships   302 Profuse Funding   302 Rework Hackathons   303 Hack This   303 Swimming with the Sharks   305 Assure Privacy   306 Regulation   306 Industry Code of Conduct   308 Epilogue   311 Wrapping Up   311 Looking Forward   312 Staying Current   314 References   315 Index   353   How to dramatically improve health outcomes by using data, technology, and behavioral science to empower individuals as agents of change.