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Wearable Health, Fitness Trackers, and the Quantified Self
This document discusses the rise of wearable health technologies and quantified self-tracking. It notes that healthcare is now an information problem rather than a science problem. It then discusses the growing elderly population and rise of chronic diseases. Common risk factors like smoking, obesity, and inactivity are also discussed. The document summarizes tracking trends and the quantified self movement. It provides examples of emerging personal health tools like glucose monitors and DNA screening. It concludes with the author's views that digitalization will transform medicine by lowering costs and improving outcomes through precision medicine approaches.
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Wearable Health, Fitness Trackers, and the Quantified Self
- 1. The Advent of WearableHealth Technology, Sensors, and the Quantified Self Steven Tucker, MD, FACP, FAMS Novena Specialist Center
- 2. Part 1 The scope of Disease in2 minutes
- 3. Healthcare is nota science problem, it’s an information problem. -Thomas Goetz
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- 7. Chronic Illness 84% ofhealth spending > $2 trillion Source: Robert Woods Johnson Foundation
- 8. 25 Percent 20 15 10 5 0 1 2 3 4 5 Multiple Chronic Conditions Source: RobertWoods Johnson Foundation
- 9. Common Risk Factors Smoking Inactivity HighBlood Pressure Raised Blood Sugar High Cholesterol Obesity
- 10. Smoking Source: WHO NCD’sProfiles 2011
- 11. Inactivity Source: WHO NCD’sProfiles 2011
- 12. High Blood Pressure Source:WHO NCD’s Profiles 2011
- 13. High Cholesterol Source: WHONCD’s Profiles 2011
- 14. Raised Blood Sugar Source:WHO NCD’s Profiles 2011
- 15. Obese / Overweight Source:WHO NCD’s Profiles 2011
- 16. 1000 $ Billion 800 600 400 200 0 2008 2030 The RisingCost of Obesity Source: Almanac of Chronic Disease, 2013
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- 18. How We Die Source:U.S Census Bureau, 2012
- 19. How We Die Source:U.S Census Bureau, 2012
- 20. How We Die Source:U.S Census Bureau, 2012
- 21. How We Die Source:U.S Census Bureau, 2012
- 22. How We Die Source:U.S Census Bureau, 2012
- 23. How We Die Source:U.S Census Bureau, 2012
- 24. How We Die Source:U.S Census Bureau, 2012
- 25. How We Die Source:U.S Census Bureau, 2012
- 26. How We Die Source:U.S Census Bureau, 2012
- 27. How We Die Source:U.S Census Bureau, 2012
- 28. Singapore Burden ofDisease 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. Part 2 The rise of Tracking in3 minutes
- 30. If you cannot measureit, you cannot improve it. -Lord Kelvin
- 31. Data Data is routinelycollected to fine tune performance.
- 33. Tracking 69% of adults tracka 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
- 34. Tracking 46% say this activityhas 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
- 35. Tracking Formal tracking wasmore 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
- 37. Quantified Self isan international collaboration of users and makers of self-tracking tools.
- 38. Quantified Self isan international collaboration of users and makers of self-tracking tools. The aim is to help people get meaning out of their personal data.
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- 44. QS Personalizes By collectingyour own personal information you know it is appropriate to you as an individual.
- 45. QS is Peer-to-Peer Peopleturn to friends & family for support and advice when they have a health problem.
- 46. 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
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- 48. Any sufficiently advanced technology isindistinguishable from magic. -Arthur C. Clarke
- 68. Photographic Memory 5 Megapixels 2day battery 4000 pictures Always on
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- 85. Wearable Computing Shipments (Millions) 2013 2014 2015 WearableCameras 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
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- 95. Digital Health asa Google Map Exposome Signs & Symptoms Genome Epigenetics Microbiome Patient Data Individual Patient
- 96. Part 4 What is My View in1 minute
- 97. JPS 2013 500000 Deaths 400000 300000 IOM 1999 200000 OIG 2010 100000 0 Prostate Breast Diabetes Med Errors MedErrors 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
- 98. Technology may replace upto 80% of what doctors do. - Vinod Khosla
- 99. Precision Medicine You wouldno 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
- 100. Health as Arithmetic Apps+ Tracking = Behavior Genome + Exposome + Microbiome + Metabolome = Biology Behavior + Biology = Health
- 101. Additive Forces Ageing + ChronicDisease + Activity Tracking + Social Networking + Peer-to-Peer Health + Healthcare Transformation =
- 102. Digitalization of Biologyand 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?
- 103. Dr. Watson Machines aspersonal 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.
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- 106. Part 4 What is My 2nd View in1 minute
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- 111. The App Economy 40billion apps downloaded
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- 113. 40000 35000 Exabytes 30000 20000 7910 10000 130 0 2005 422 1227 2008 2010 2720 2012 2015 The amount ofdata is growing 2020 40 TIMES as fast as the world population
- 114. During 2008, thenumber 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
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