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WeWa.life (Your Life)
Browning Rockwell, Founder
browningr@wewa.life
Model- Subscription XaaS
January 30, 2019
“One Size Does Not Fit All”
Better health and wellness for each individual
Revolutionizing Health & Wellness through Personalization
and Blockchain Technology
3 Greatest failures of workplace wellness – outcomes, economics and trust
Programs are expanding but the challenge lies in creating programs
and services that can measure results that, in turn, improve outcomes.
Corporate Health & Wellness Programs
Corporate wellness programs are a nearly $8 billion industry in the U.S. and
are expected to grow at a clip of nearly 7.8% through 2021.
The Global Wellness Institute puts that number at $40 billion worldwide,
even though only roughly 9% of the 3 billion-plus global workforce has
access to workplace wellness programs at their jobs.
People
In the USA, 1/3 of people who live to age 50 do
not live to age 75
86% of the $3.4T spent on healthcare in USA
(sick care) are on chronic diseases that can be
prevented or reversed based on lifestyle.
Only about 10% of health is influenced by
medical care.
Let’s add healthy life years.
Devices: Exponential growth in wearable medical devices
and mHealth & wellness apps
▪ The U.S. market for wearable medical devices is expected to grow
from $2.5 billion in 2016 to nearly $8.7 billion in 2021 at a CAGR of
27.9% (Report Linker).
▪ 325,000 mobile health
apps were available in
2017. Since last year,
78,000 new health apps
have been added to
major app stores.
Data: Personal-Data Economy - #PGHD
➢ Non-transferable siloed person generated
health data (#PGHD)
➢ Inability to manage, consolidate and
integrate Personal Health Record (#PHR)
#MyData – individual owned federated
health & wellness database using blockchain
digital health ID and health wallet.
Digital identity that is permanent, portable,
private and completely secure.
153 exabytes (one exabyte = one billion gigabytes) produced in 2013 and an estimated 2,314 exabytes will be produced in 2020.
Health care data growth – 20X
One Size Does NOT Fit All
Revolutionizing Health & Wellness through Personalization and Blockchain Technology
Delivering better outcomes, economics and trust
Behavioral Science Meets Connected Health
Psychographic
Segmentation
Character of
Health Type
Life Expectancy
and Health Age
Predictive
Population
Science
Health & Wellness
Behavior Persona
SmartPhone
Apps & Portals
Wearables &
Digital Devices
Personalized health & wellness engagement, retention & insight
On-boarding
On-going
N of 1 Science
Micro Treatments
& Analytics
Blockchain
LedgerPHR
Digital ID,
Tokens
Qualitative & Quantitative Measures
Engagement & Behavior Change Model
Am
otivated- External - Introjected- Identified–Integrated- Intrinsic
Self-Determ
inationTheory(SDT) - Typesof M
otivation
31%
15%
18%
17%
19%
High
Low HighMotivation
Competence
Self Achievers
most proactive – goals
Balance Seeker
proactive – self treated
Priority Jugglers
reactive – family first
Director Takers
go to doctor at first sign of concern
Willful Endurer
live in „here and now”
Types of Motivation
• Amotivated
lacking intent to act,
has low trust factor -
not willing to share
health issues
• External
least autonomous
• Introjected
pressure to avoid guilt
• Identified
behavior is part of
my identity
• Integrated
behavior consistent
with goals
• Intrinsic
behavior feels good
ControlledAutonomous
• Basic human needs for autonomy,
competence and relatedness
• Level & Orientation of Motivation
Low
Trust
High
Trust
Character of Health Types

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WeWa.life - Better health and wellness for each individual

  • 1. WeWa.life (Your Life) Browning Rockwell, Founder browningr@wewa.life Model- Subscription XaaS January 30, 2019 “One Size Does Not Fit All” Better health and wellness for each individual Revolutionizing Health & Wellness through Personalization and Blockchain Technology
  • 2. 3 Greatest failures of workplace wellness – outcomes, economics and trust Programs are expanding but the challenge lies in creating programs and services that can measure results that, in turn, improve outcomes. Corporate Health & Wellness Programs
  • 3. Corporate wellness programs are a nearly $8 billion industry in the U.S. and are expected to grow at a clip of nearly 7.8% through 2021. The Global Wellness Institute puts that number at $40 billion worldwide, even though only roughly 9% of the 3 billion-plus global workforce has access to workplace wellness programs at their jobs.
  • 4. People In the USA, 1/3 of people who live to age 50 do not live to age 75 86% of the $3.4T spent on healthcare in USA (sick care) are on chronic diseases that can be prevented or reversed based on lifestyle. Only about 10% of health is influenced by medical care. Let’s add healthy life years.
  • 5. Devices: Exponential growth in wearable medical devices and mHealth & wellness apps ▪ The U.S. market for wearable medical devices is expected to grow from $2.5 billion in 2016 to nearly $8.7 billion in 2021 at a CAGR of 27.9% (Report Linker). ▪ 325,000 mobile health apps were available in 2017. Since last year, 78,000 new health apps have been added to major app stores.
  • 6. Data: Personal-Data Economy - #PGHD ➢ Non-transferable siloed person generated health data (#PGHD) ➢ Inability to manage, consolidate and integrate Personal Health Record (#PHR) #MyData – individual owned federated health & wellness database using blockchain digital health ID and health wallet. Digital identity that is permanent, portable, private and completely secure. 153 exabytes (one exabyte = one billion gigabytes) produced in 2013 and an estimated 2,314 exabytes will be produced in 2020. Health care data growth – 20X
  • 7. One Size Does NOT Fit All Revolutionizing Health & Wellness through Personalization and Blockchain Technology Delivering better outcomes, economics and trust
  • 8. Behavioral Science Meets Connected Health
  • 9. Psychographic Segmentation Character of Health Type Life Expectancy and Health Age Predictive Population Science Health & Wellness Behavior Persona SmartPhone Apps & Portals Wearables & Digital Devices Personalized health & wellness engagement, retention & insight On-boarding On-going N of 1 Science Micro Treatments & Analytics Blockchain LedgerPHR Digital ID, Tokens Qualitative & Quantitative Measures
  • 10. Engagement & Behavior Change Model Am otivated- External - Introjected- Identified–Integrated- Intrinsic Self-Determ inationTheory(SDT) - Typesof M otivation 31% 15% 18% 17% 19% High Low HighMotivation Competence Self Achievers most proactive – goals Balance Seeker proactive – self treated Priority Jugglers reactive – family first Director Takers go to doctor at first sign of concern Willful Endurer live in „here and now” Types of Motivation • Amotivated lacking intent to act, has low trust factor - not willing to share health issues • External least autonomous • Introjected pressure to avoid guilt • Identified behavior is part of my identity • Integrated behavior consistent with goals • Intrinsic behavior feels good ControlledAutonomous • Basic human needs for autonomy, competence and relatedness • Level & Orientation of Motivation Low Trust High Trust Character of Health Types