Wearable Health, Fitness Trackers, and the Quantified Self

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The vision and reality of individualised health and wellness achieved through tracking personal data. An introduction to the scope of the problems followed by the advent of the Quantified Self. Then a pictorial view of trackers, gadgets, #ehealth, and #mHealth devices. This leads the audience to a clear understanding of how we can digitise behaviour and biology to achieve wellness and prevent disease in the 1st place. Overall, there is an underlying influence of the impact of exponential technologies in numerous fields with an increasing force in healthcare.

Published in: Health & Medicine

Wearable Health, Fitness Trackers, and the Quantified Self

  1. 1. The Advent of Wearable Health Technology, Sensors, and the Quantified Self Steven Tucker, MD, FACP, FAMS Novena Specialist Center
  2. 2. Part 1 The scope of Disease in 2 minutes
  3. 3. Healthcare is not a science problem, it’s an information problem. -Thomas Goetz
  4. 4. 25 Percent 20 15 10 5 0 13% 17% 21% 2010 2020 2030 Population aged 65+ Source: U.S Census Bureau, 2012
  5. 5. 18 Millions 15 12 9 6 2015 2020 2025 2030 2035 2040 2045 2050 Population aged 85+ Source: U.S Census Bureau, 2012
  6. 6. Chronic Illness Heart Disease Asthma Diabetes Cancer Arthritis Depression
  7. 7. Chronic Illness 84% of health spending > $2 trillion Source: Robert Woods Johnson Foundation
  8. 8. 25 Percent 20 15 10 5 0 1 2 3 4 5 Multiple Chronic Conditions Source: Robert Woods Johnson Foundation
  9. 9. Common Risk Factors Smoking Inactivity High Blood Pressure Raised Blood Sugar High Cholesterol Obesity
  10. 10. Smoking Source: WHO NCD’s Profiles 2011
  11. 11. Inactivity Source: WHO NCD’s Profiles 2011
  12. 12. High Blood Pressure Source: WHO NCD’s Profiles 2011
  13. 13. High Cholesterol Source: WHO NCD’s Profiles 2011
  14. 14. Raised Blood Sugar Source: WHO NCD’s Profiles 2011
  15. 15. Obese / Overweight Source: WHO NCD’s Profiles 2011
  16. 16. 1000 $ Billion 800 600 400 200 0 2008 2030 The Rising Cost of Obesity Source: Almanac of Chronic Disease, 2013
  17. 17. How We Die
  18. 18. How We Die Source: U.S Census Bureau, 2012
  19. 19. How We Die Source: U.S Census Bureau, 2012
  20. 20. How We Die Source: U.S Census Bureau, 2012
  21. 21. How We Die Source: U.S Census Bureau, 2012
  22. 22. How We Die Source: U.S Census Bureau, 2012
  23. 23. How We Die Source: U.S Census Bureau, 2012
  24. 24. How We Die Source: U.S Census Bureau, 2012
  25. 25. How We Die Source: U.S Census Bureau, 2012
  26. 26. How We Die Source: U.S Census Bureau, 2012
  27. 27. How We Die Source: U.S Census Bureau, 2012
  28. 28. Singapore Burden of Disease Other 29% CVD 19% Cancer 18% CVD Cancer Neuro Mental Health Diabetes Other Diabetes 10% Mental Health Neuro 13% 11% Singapore Burden of Diseases Study 2007
  29. 29. Part 2 The rise of Tracking in 3 minutes
  30. 30. If you cannot measure it, you cannot improve it. -Lord Kelvin
  31. 31. Data Data is routinely collected to fine tune performance.
  32. 32. Tracking 69% of adults track a health indicator for themselves or others. 34% of individuals who track use nontech methods such as journals. 21% of people who track use at least one form of tech such as apps or devices. Source: Susannah Fox, Pew Internet & American Life Report, January 2013
  33. 33. Tracking 46% say this activity has changed their overall approach to maintaining their health or another persons health 40% of trackers say it has led them to ask a doctor new questions or to get a 2nd opinion. 34% say it has affected a decision about how to treat an illness or condition. Source: Susannah Fox, Pew Internet & American Life Report, January 2013
  34. 34. Tracking Formal tracking was more influential when it came to health decisions than informal tracking. ! People with chronic conditions are more likely to track. Source: Susannah Fox, Pew Internet & American Life Report, January 2013
  35. 35. Quantified Self is an international collaboration of users and makers of self-tracking tools.
  36. 36. Quantified Self is an international collaboration of users and makers of self-tracking tools. The aim is to help people get meaning out of their personal data.
  37. 37. Why Now?
  38. 38. Why Now?
  39. 39. Why Now?
  40. 40. Why Now?
  41. 41. Why Now?
  42. 42. QS Personalizes By collecting your own personal information you know it is appropriate to you as an individual.
  43. 43. QS is Peer-to-Peer People turn to friends & family for support and advice when they have a health problem.
  44. 44. Peer-to-Peer is the Future - "I don’t know, but I can find out" - "I know, and I want to share my knowledge" Source: The Pew Research Center's Internet & American Life Project
  45. 45. Part 3 Personal Health Tools in 4 minutes
  46. 46. Any sufficiently advanced technology is indistinguishable from magic. -Arthur C. Clarke
  47. 47. Photographic Memory 5 Megapixels 2 day battery 4000 pictures Always on
  48. 48. Continuous Glucose Monitoring
  49. 49. TICTRAC
  50. 50. Wearable Computing Shipments (Millions) 2013 2014 2015 Wearable Cameras 6.64 13.61 15.81 Smart Glasses 0.01 8 9% Smart Watches 1.23 74 85% Healthcare 13.45 22.59 34.25 Fitness Trackers 32.46 42.64 57.42 3D Motion Trackers N/A 0.87 2.00 Smart Clothing 0.03 0.72 1.24 TOTALS 53.90 90.00 164.20 ABI Research World Market Forecast 2013-2019
  51. 51. Personal Tools
  52. 52. DNA Screen
  53. 53. Data is Cheap
  54. 54. Data is Cheap
  55. 55. Digital Health as a Google Map Exposome Signs & Symptoms Genome Epigenetics Microbiome Patient Data Individual Patient
  56. 56. Part 4 What is My View in 1 minute
  57. 57. JPS 2013 500000 Deaths 400000 300000 IOM 1999 200000 OIG 2010 100000 0 Prostate Breast Diabetes Med Errors Med Errors Med Errors Every time researchers estimate how often a medical mistake contributes to a hospital patient’s death, the numbers come out worse. Source: ProPublica, September, 2013 Source: Journal of Patient Safety, September, 2013
  58. 58. Technology may replace up to 80% of what doctors do. - Vinod Khosla
  59. 59. Precision Medicine You would no more take a drug without knowing the relevant data from your genome, than you would get a blood transfusion without knowing your blood type. -Esther Dyson Former journalist and Wall Street technology analyst, leading angel investor, entrepreneur, philanthropist, and commentator focused on breakthrough innovation in healthcare
  60. 60. Health as Arithmetic Apps + Tracking = Behavior Genome + Exposome + Microbiome + Metabolome = Biology Behavior + Biology = Health
  61. 61. Additive Forces Ageing + Chronic Disease + Activity Tracking + Social Networking + Peer-to-Peer Health + Healthcare Transformation =
  62. 62. Digitalization of Biology and Medicine Transforms Healthcare This is a revolution that will transform medicine even more than digitalization transformed information technologies and communications. Digitizing of medicine will lead to dramatically lower healthcare costs and better outcomes. Digital medicine is nearly here. It is starting now. Is there an app for that?
  63. 63. Dr. Watson Machines as personal assistants to doctors, using big data to aid in physician decision making. Reads 200M papers in 3 seconds. Monitors real-time data and articles as published. Digests patient EHR’s, genomics, clinical data, peerreviewed publications, other data.
  64. 64. Dr. Siri
  65. 65. Part 4 What is My 2nd View in 1 minute
  66. 66. Sensors as Tattoos
  67. 67. Flying Cars
  68. 68. June 2007 29
  69. 69. Disruptive Technology 6.2007 6.2009 4.2011 9.2012 10.2013
  70. 70. The App Economy 40 billion apps downloaded
  71. 71. Smartphone Growth
  72. 72. 40000 35000 Exabytes 30000 20000 7910 10000 130 0 2005 422 1227 2008 2010 2720 2012 2015 The amount of data is growing 2020 40 TIMES as fast as the world population
  73. 73. During 2008, the number of things connected to the Internet exceeded the number of people on earth. 2003 2010 2015 By 2020 there will be 50 billion. These things are not just smartphones and tablets. Source: Cisco
  74. 74. ?
  75. 75. LEARN MORE www.tuckermedical.com @drsteventucker

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