Recent scientific advances and technologies are enabling health professionals to understand more about the human body than ever before. In addition, technology is empowering patients to take control of their own health, by monitoring and quantifying in order to improve it. We will look at: - The collective opportunity and challenge for health professionals and patients - Data legitimizing and encouraging different wellness practices - A new generation of medical professionals (data coordinators and lifestyle analysts)

1. FOR
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HEALTH & WELLNESS

2. Hello!
Jess Kimball-Leslie
Global Chief Futurist
OgilvyRED
Laurie Close
Senior Strategist
OgilvyRED

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5. JESS KIMBALL LESLIE
AUGUST 2017
The Future
of Health
and Wellness

6. 6
Today’s Topics
MACROECONOMICS
REVOLUTION
HEALTH & WELLNESS

7. PHILOSOPHY
TECHNOLOGY
PEOPLE
01
02
03

8. Gosta Esping-Andersen Andre Gorz
8

9. Gosta Esping-Andersen:
The Three Worlds of Welfare
Capitalism (1990)
Inspired by Marx’s labor-
power theory (labor becomes
a commodity under capitalism)
+DegreeofCommodification-
Sweden The United States
9

10. 10
Gorz: An “Either Or” Fallacy
REFORM REVOLUTION

11. PHILOSOPHY
TECHNOLOGY
PEOPLE
01
02
03

12. 12Source: BofA Merrill Lynch Global Investment Strategy, IFR, Bloomberg.
Long Robots,
Short Human Beings
Manufacturing output grows
because of technology,
not wage work

13. 13Source: BofA Merrill Lynch Global Investment Strategy, IFR, Bloomberg.

14. 14Source: http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Source: http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Management, Business and Financial
Computer, Engineering and Science
Education, Legal, Community Service,
Arts and Media
Healthcare Practitioners and Technical
Service
Sales and Related
Office and Administrative Support
Farming, Fishing and Forestry
Construction and Extraction
Installation, Maintenance and Repair
Production
Transportation and Material Moving
Employment(millions)
Probability of Computerization
400
0 0.2 0.4 0.6 0.8 1
200
300
100
0
Low
33% Employment
Medium
19% Employment
High
47% Employment
Source: http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf
Management, Business and Financial
Computer, Engineering and Science
Education, Legal, Community Service,
Arts and Media
Healthcare Practitioners and Technical
Service
Sales and Related
Office and Administrative Support
Farming, Fishing and Forestry
Construction and Extraction
Installation, Maintenance and Repair
Production
Transportation and Material Moving
Employment(millions)
Probability of Computerization
400
0 0.2 0.4 0.6 0.8 1
200
300
100
0
Low
33% Employment
Medium
19% Employment
High
47% Employment

15. THE PRESENT
OF RETAIL
15

16. 16

17. 17Source: BofA Merrill Lynch Global Investment Strategy, IFR, Bloomberg.

18. 18Source: Bureau of Labor Statistics
Net Change In Retail Jobs
Over The Last 15 Years
THE PRESENT
OF RETAIL

19. 50% - 100% 1% - 49% None Don’t Know
19
HOW DIGITAL ARE YOUR PROFITS?
RETAIL HAS A LONG WAY TO GO
Source: CB Insights, 2017
0%
30%
60%
90%
120%
Figure may not sum to 100% because of rounding.
Share of organizations’ overall business revenues that are digital in nature
High Tech
n = 348
Media &
Entertainment
n = 86
Professional
Services
n = 307
Healthcare
Systems &
Services
n = 78
Travel, Transport
& Logistics
n = 103
Financial
Services
n = 310
Retail
n = 89
Automotive &
Assembly
n = 112
Consumer
Packaged
Goods
n = 85

20. 20Source: Bureau of Labor Statistics
WHO OWNS
THE ROBOTS?

21. VS.
COMPETING IN AN AGE OF NON-RIVAL GOODS
21

22. VS.
COMPETING IN AN AGE OF NON-RIVAL GOODS
22

23. 23

24. 24

25. VS.
COMPETING IN AN AGE OF NON-RIVAL GOODS
25

26. FROM THE FORTUNE 500 FORTUNE 5
26
to the

27. PHILOSOPHY
TECHNOLOGY:
ARTIFICIAL
01
02
03

28. 28
HEALTHCARE HAS TONS OF
DATA (& AI EATS DATA TO
GROW)
HEALTHCARE = BIG SYSTEMS
01
02
03
Why is healthcare artificial intelligence’s first big bet?

29. 29
Education
Governments
Public Health
Medical Devices
and Diagnostics
Bio-Pharma
Employers
Social Programs
Home Health Agencies
Practitioners
Hospitals
Therapists
Health Plans
Family
Payers
THE HEALTHCARE AI TASK:
BUILD A SINGULAR HEALTH PLATFORM

30. .4TB OF DATA (TODAY)
VS. 1100T OF DATA (TOMORROW)
30
We’re only working with data that effects 10% of health determinants
GENOMI
of determinants of
Volume
CLINIC
EXOGENO
(Behavior, Socio-economic, Environmental,
60 of determinants of
Volume, Variety, Velocity,
30
10 of determinants of
Variety
1100
Generated per lifetime
6
Per lifetime
0.4
Per lifetime
Source: “The of Multiple Determinants to Health Outcomes”, Lauren McGovern et al, Health Atlanta (2014), 30

31. 31
RICH PEOPLE CAN/WILL BE ABLE TO BUY BETTER
BODIES

32. IBM VS. APPLE VS. ALPHABET VS. EVERYONE ELSE:
THE HEALTHCARE PLATFORM “ARMS RACE”
32

33. IBM VS. APPLE VS. ALPHABET VS. EVERYONE ELSE:
THE HEALTHCARE PLATFORM “ARMS RACE”
33

34. IBM VS. APPLE VS. ALPHABET VS. EVERYONE ELSE:
THE HEALTHCARE PLATFORM “ARMS RACE”
34

35. 35
35

36. 36
106 STARTUPS
TRANSFORMING
HEALTHCARE
WITH AI
Source: CB Insights, 2017

37. 37
Yuval Noah Harari
HUMANISM (INDIVIDUALISM) DATAISM

38. THE HUMAN BODY IS NOT ‘UNIQUELY SPIRITUAL’
38

39. 39
WANT TO SEE THE FUTURE OF HEALTHCARE? LOOK AT WAZE.

40. PHILOSOPHY
TECHNOLOGY
PEOPLE
01
02
03

41. NEW JOBS:
THE ‘NOT-A-DOCTOR’ WILL SEE YOU NOW
41

42. 42
PLOS ONE, MAY 2017:
IS THERE A WARMTH/CONFIDENCE TRADE-OFF? NO.

43. 43
NEW EMOTIONS

44. 44
NEW EMOTIONS:
LET’S CALL THIS ONE“SUBLIME CONFIDENCE”

45. 45
The End Of Average
by Todd Rose
BIG DATADATA

46. 46
The Age of
‘Perfect Information’
BIG DATA

47. 47
BIG DATA
The Age of
‘Perfect Information’

48. 48
BIG DATA
The Age of
‘Perfect Information’

49. Questions?
Jess Kimball-Leslie
Global Chief Futurist
OgilvyRED
Laurie Close
Senior Strategist
OgilvyRED

50. 50
THANK YOU!