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The Current State of Consumer Digital Health

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From wearables to personal genomics to personal data presentation outlines what's going on in consumer digital health.

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The Current State of Consumer Digital Health

  1. THE CURRENT STATE OF CONSUMER DIGITAL HEALTH BIONIC.LY
  2. WHY NOW?
  3. THE DIGITAL REVOLUTION
  4. 0 10 20 30 40 50 60 70 80 90 Industrial Revolution (1760 - 1840) Digital Revolution (1980 - present) NUMBEROFYEARS THE DIGITAL REVOLUTION
  5. 0 10 20 30 40 50 60 70 80 90 Industrial Revolution (1760 - 1840) Digital Revolution (1980 - present) NUMBEROFYEARS If the Digital Revolution lasts only as long as the Industrial Revolution then we have around 45 years left THE DIGITAL REVOLUTION
  6. 0 10 20 30 40 50 60 70 80 90 Industrial Revolution Digital Revolution Digital Health Revolution NUMBEROFYEARS THE DIGITAL HEALTH REVOLUTION
  7. 0 10 20 30 40 50 60 70 80 90 Industrial Revolution Digital Revolution Digital Health Revolution NUMBEROFYEARS Which means the Digital Health Revolution has another 72 years of advancement ahead THE DIGITAL HEALTH REVOLUTION
  8. I think the biggest innovationsof the 21st century will be at the intersection of biology and technology. A new era is beginning. “
  9. CONSUMER TECH MOVES IN TO HEALTH
  10. GOOGLE DIGITAL HEALTH
  11. PERFECT STORM
  12. MHEALTH
  13. SMARTPHONE INDUSTRY DWARFS PC INDUSTRY 4bn people buying every 2yrs compared with 1.6bn every 5yrs
  14. AND HAS LOTS OF ROOM FOR GROWTH
  15. SMARTPHONES FOR ALL
  16. 2015 • Proximity Sensor • Motion sensor / accelerometer • Ambient light sensor • Moisture Sensor • Gyroscope sensor • Fingerprint sensor • M7 motion coprocessor 2018 • ECG • Blood pressure • Glucose • Mood • Heart rate/HRV • Fatigue • Blood biomarkers IPHONE BUILT-IN SENSORS
  17. GOOGLE’S MODULAR PHONE
  18. % of physicians who believe widespread adoption of mHealth in the near future is unavoidable Source: PwC (2012, 2014) 2012 2014
  19. % of physicians have prescribedan app to patients Source: QuantiaMD (2014)
  20. Medisafe helps users keep track of if they’ve taken their pill and how much they’ve taken
  21. Colorimetrix turns smartphone into portable spectrophotometer which can analyze diabetes, kidney disease and urinary tract infections
  22. HIV Test Otoscope Pulse Oximeter ECG
  23. I received an email from a patient I’d prescribed the device to saying “I’m in atrial fibrillation, now what do I do?” Dr. Eric Topol, M.D.
  24. THE SMARTHOME
  25. Making Sense of Sensors: Jane Sarasohn-Kahn
  26. WEARABLES, INGESTIBLES & IMPLANTABLES
  27. IBM says we’ll have 30bn sensors connecting everything with everyone by 2017. By 2030 we’ll have 100 trillion sensors connecting all of us in one vast neural network JeffreyRifkin,authorofTheZero MarginalCostSociety
  28. THE APPLE WATCH COMETH
  29. The Apple Watch is very personal—“personal” and “intimate” were words that Apple CEO Tim Cook and his colleagues used over and over again when presenting it to the public for the first time. That’s where the watch is likely to change things, because it does something computers aren’t generally supposed to: It lives on your body
  30. http://signsfromthenearfuture.tumblr.com/
  31. PERSONAL GENOMICS
  32. GENETIC FITNESS
  33. PERSONAL DATA DELUGE
  34. Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
  35. Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. “ I.B.M
  36. Source: The Atlantic
  37. Larry Smarr began tracking: • Weight (1 data point) • Blood (100 data points) • DNA (1,000,000 data points) • Microbiome (1,000,000,000 data points) Source: Larry Smarr SMARR’S DATA POINTS
  38. My bloodwork was analysed looking at 16 different biomarkers. The results data was then uploaded to InsideTracker where I was able to track each biomarker alongside the optimal level. Deficient in Vitamin B12, Vitamin D, Iron and my Total Cholesterol level is too high
  39. “Data is driving change in the healthcareindustry. In the hands of those who know how to useit, data brings advancesin personalized and predictive medicine, significant cost savings, and researchthat points to entirely new products and markets. “ TIM O’REILLY
  40. BRAIN FITNESS
  41. 1. Neuroeducation 2. Neurofeedback 3. Nootropics BRAIN ENHANCEMENT
  42. THE HEALTH INFORMATION AGE
  43. For a year, they have been teaching Watson oncology. The system has been fed 2 million pages of text from 42 medical journals and clinical trials relevant to oncology. In addition, Watson has consumed 18,000 historical cases including medical records, patient outcomes, and physician's notes. Using natural language processing, Watson is capable of reviewing 1.5 million patient records in seconds. It does not stop there. Watson continues to learn as it’s fed new information. With every case and every new study that Watson learns, it modifies its recommendations.
  44. 3D BIOPRINTING
  45. HUMAN AUGMENTATION
  46. IMPLANTS / NEUROPROSTHETICS
  47. Brain implants are where laser eye surgery was several decades ago. They are not risk free and make sense only for a narrowly defined set of patients but they’re a sign of things to come. “ Gary Marcus,Professor of Psychology,NYU
  48. “In the future we’ll all be wearing exoskeletons in common activities such as running.
  49. Many human augmentation technologies will be invented in the coming decades that will enable humans to experience an enhanced physicality. Powered exoskeletons will increase running efficiency, speed and reduce musculoskeletal stress; aquatic exoskeletons will augment swimming endurance and speed; and spider suits will enable enhanced abilities to climb smooth vertical walls. Comparable to the connection between the invention of the bicycle and the sport of cycling, such new augmentation technologies will naturally result in new sports being practiced – power running, power swimming, power climbing…
  50. DIGITAL HEALTH IN KIDS
  51. jj You could collect a baby’s health record at birth and by the time they’ve they were two years old they would have more health information stored in the cloud than any patient.
  52. FERTILITY APPS
  53. Patch sensors Google Glass Blood bioanalytics Sleep analytics Quantified Self Personal genomics Remote patient monitoring 3D Bioprinting Health apps Nanorobots TECHNOLOG YTRIGGER PEAK OF INFLATED EXPECTATIONS TROUGHOF DISILLUSIONMENT SLOPE OF ENLIGHTENMENT PLATEAU OF PRODUCTIVITY Wearable tech Personal health data DIY biohacking Implantable tech Medical tricorder Apple and health Brain chips Brain controlled bionics Electronic health records Activity trackers Smartwatch Artificial Intelligence Brain fitness Smarthome health Healthcare social media Big data Ingestible tech This Digital Health Hype Cycle has in no way been endorsed by Gartner, Inc. DIGITAL HEALTH HYPE CYCLE mHealth
  54. STEPHENDAVIES |@STEDAVIES| BIONIC.LY BIONIC.LY

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