This report covers the ins and outs of each market and where Fit Chain can have a massive impact

2. Aims of presentation

3. Fitness Statistics

4. Globally, 78% of the
adults over 18 years
old, exercise or would
like to
22%
39%
39%
22% have
no interest
in exercising
39% exercise
Regularly with
87% exercising
3 or more times
per week
Another 39%
Not currently
Exercising but
Would like to
81% of Millennials
(18 to 34 year old’s)
Exercise or would
like to
20% 45%
36%
20% have
no interest
in exercising 45% exercise
Regularly
36% not currently
Exercising but
Would like to
There is still a large
proportion of the nation that
still does not engage in any
form of exercise, as can be
seen from the first chart with
a total of 61% not exercising.
There are a number of
reasons for this; In the UK
some people feel due to
large marketing campaigns
they do not want to follow in
the fitness craze. Some
people have a lack of self
esteem and feel to exercise
is too embarrassing. Others
are simply not motivated
enough to exercise. The app
provides a couple of
solutions to these issues
providing multiple forms of
motivation.
WHO EXERCISES?

5. Never been
27% of the adult population
(18+) attend a fitness facility
22% 24%
27%
18%
9%
Lapsed
Have no
interest in
exercising
Member
of a gym
Casual
member
Who would consider joining?
20% of regular exercisers who
are not a member of a gym
would
36% of Millennials would
25% of exercise
considerers who are not in a
gym would
43% of Millennials would
60% of lapsed members
would
(24% of the adult population)
WHO EXERCISES?

6. The market of
people wanting to
exercise is equally
or more important
than the regular
exercisers (39%)
A vast majority
of the adult
population
either exercise
regularly or
want to
of Millennials
exercise or want to81%
61%of Boomers exercise
or want to
There are huge opportunities
for the app to enter the right
market
Focus on Contemplation,
planning and relapse of
exercisers
WHO EXERCISES?

7. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Fitness class
Activity
Group
training
indoors
Fitness
classes
music
Yoga Pilates Dance Work out
with PT
Free
Weights
Weight
Machine
Cardio
Machine
Boxing
18-34 Years 35-54 Years 55+ Years
15%
7%
16%
7%
24%
10%10%
5%
4%
46%
39%
27%
10%
5%5%
19%
11%
8%
20%
6%
13%
30% 30%
20% 20%
12% 12%
24%
12%
16%
13%
3%
1%
More people
clearly
prefer to exercise
in
small fitness class
activities. Which
relates consistently
with our data on
people preferring to
train in small
groups due to the
support they feel
and the
camaraderie.
And yet Millennials
dominate ALL
fitness class
activities.
WHAT ARE THEY DOING?

8. 0
1
2
3
4
5
6
Large multi-
purpose gym
fitness center
Small boutique
gym with single
activity
Local community/
Church hall
Personal training
studio
Home Dedicated dance/
Yoga class
Fitness Class to music Team training Personal training
48% 49%
41%
23%
35%
25%
20%
25% 24%
18%
23%
30%
20%
21%
16%
19%
15%
17%
0
1
2
3
4
5
6
Large multi-
purpose gym
fitness center
Small boutique
gym with single
activity
Local community/
Church hall
Personal training
studio
Home Dedicated dance/
Yoga class
Fitness Class to music Team training Personal training
55%
44%
38%
25%
37%
26%
17%
24%
27%
26%
37%
19%
30%
19% 19%
26%
24%
31%
All ages
Millennials
This statistic shows where
and what people are doing
wen they exercise. There are
some great insights we can
obtain from these numbers.
It would be a good plan to
focus on creating an all in
one personal fitness
assistant in your pocket that
will help users to connect
and record their personal
activity creating a group
community online. The
challenge feature on app can
be aimed at this variable.
WHERE ARE THEY EXERCISING?

9. 40%
27%
32%
37%
ALL AGES
MILLENNIALS
Get healthy/Maintain health Get in shape/lose weight
THE IDEAL EXERCISE EXPERIENCE IS
FUN
31%
33%
CALM
23%
16%
CONVENIENT
23%
20%
CHALLENGING
17%
WHY ARE THEY EXERCISING?

10. 0
1
2
3
4
5
6
7
Knowing it is good for me Knowing it will give me a pick me up Achieving my end fitness goal
All ages Millennials
61%
47%
35%
32%
26%
31%
Note although the app is
focused on challenges and
users reaching a fitness goal
we should focus our
message towards the much
larger motivator ‘It is good
for me’ and as a bonus you
earn tokens and reach your
goals!
WHY ARE THEY EXERCISING?

11. AMPLIFY MESSAGE AROUND
‘GETTING AND MAINTAINING
HEALTH’
Research shows this is the
main reason for all ages
to exercise rather than the
more superficial getting in
shape goals.
For Millennials getting in
shape ranks higher than
maintaining health which
should be reflected in the
messaging.
FOCUS ON OVERCOMING
BARRIERS, PROMOTING AND
OFFERING AN EFFORTLESS,
CONVENIENT ACCESS TO
EXERCISE AND DIETING.
‘Feeling too tired’ is the No.1
excuse to NOT exercise regularly
closely followed by ‘too busy’ and
then ‘lack of motivation’.
Motivational messaging to improve
involvement should reinforce the
‘WHY’.
Key messages should include;
• Exercise is good for me
• Exercise provides me a pick up
• Exercise acts as a means to an
end fitness goal
Fun and convenience – regardless of age
THE IDEAL EXERCISE EXPERIENCE
PROMOTE AND DELIVER
Millennials need a more challenging experience

12. 0
1
2
3
4
5
6
Convenient location Great atmosphere Great equipment Great fitness classes to
music
My friends go there
50%
36%
31%
29% 28%
WHAT DRIVES PEOPLE INTO FITNESS FACILITIES?

13. WHO IS DOING FITNESS CLASS ACTIVITIES?
36%
Of regular exercisers participate in fitness classes
Just over half of regular exercisers who are not
currently participating in fitness classes would
52%
MILLENNIALS (18 – 34) ARE MORE LIKELY
TO JOIN FITNESS CLASSES
FEMALES, more specifically MILLENNIAL FEMALES
Are more likely to join Fitness classes outnumbering
MALES 5:1

14. All gym
attendees
Gym attendees
Who participate
In group activities
61%
51%
9% 11%
29%
38%
New (less than 12 m)
Medium (1 – 5 years)
Long term (5+ years)
11% vs 9% of attendees participating
in group activities stay longer than
5 years
38% of gym attendees attending
Group fitness activities stay for 1 – 5
Years as compared to 29%
51% of gym attendees attending
Group fitness activities are new
Attendees having been at the
Facility for less than 12 months.
There is however still a large turnover
This information is very insightful as
to why people would not only drop
out of maintaining their fitness and
health but also why possibly they
could cancel their subscription to the
app. If a person is not so highly
motivated to exercise they will feel
the need for companionship and
support from other members
therefore small fitness activity groups
seem to be a key throughout all of
the statistics for people to want to
continue working out.
FOCUS ON ALLOWING USERS
TO CREATE GROUP ACTIVITES
AND SET UP EVENTS
LONG TENURE AMONG MEMBERS

15. All gym
attendees
Gym attendees
Who participate
In group activities
56%
45%
10% 1%
54%
34%
Low (less than 1 time per week)
Medium (1 – 4 times per week)
High (5+ times per week)
45% vs 34% of attendees participating
in group activities visit their gym more
than 5 times per week
46% of gym attendees attending
group fitness activities are likely to
cancel their membership if their
class activity is cancelled
84% of gym attendees attending
group fitness activities recommend
their facility to their friends and family.
BY FOCUSING ON USERS
CREATING GROUP ACTIVITIES TO
SUPPORT EACH OTHER WE CAN
CREATE A BUZZ AND INCREASE USERS
UPTAKE VIA WORD OF MOUTH
HIGHER ATTENDANCE
CANCELLATION RATES
LEADS GENERATION

16. INSIGHTS
Focusing messaging
that targets women
and Millennials
Investing in incentives
that inspire PT’s to
arrange group activities
Remember that ‘All age groups’
exercise for health and maintenance’
whereas Millennials want more
challenges
Promoting different aspects
Consider the large number of people
that are NOT exercising but want to and
how to reach them via advertising and
word of mouth
MARKETING
FOCUS

17. UK Statistics

18. 16
20
26
44
47
64
70
76 78 79 80 78 79 81 80
87 87
92 94 94 95 95
0
10
20
30
40
50
60
70
80
90
100
1996-97
1997-98
1998-99
1999-2000
2000-01
2001-02
2002-03
2003-04
2004-05
2005-06
2006-07
2007-08
2008-09
2009-10
2010-11
2011-12
2012-13
2013-14
2014-15
2015-16
2016-17
2017-18
Households with mobile telephones UK
The statistic shows the
percent of households in the
United Kingdom that own a
mobile phone. In 1996, when
this survey initiated, only 16
percent of households
owned a mobile phone. As of
2017, that number had
increased significantly to 95
percent of households. It's
important to note that this
statistic refers only to mobile
phones and excludes
landline telephones.

19. 0 20 40 60 80 100 120
All households
Households with children
2 adults aged 16 to 64
3+ adults all ages
1 adult aged 16 to 64
2 adults 1 aged at least 64+
1 adult aged 65 plus
2018 2012
Internet connection by Households composition 2012 – 2018 UK
We can see that a vast
majority of households in the
UK are connected to the
internet with a decent
connection.
%

20. 0 10 20 30 40 50 60 70 80 90
Did not use in the last 3 months
Less than weekly
At least weekly but not daily
Daily or almost everyday
2012 2018
%
Frequency of internet usage 2012 – 2018 UK
We can see from this graph
that internet usage has
increased dramatically in the
past 6 years. Perhaps this
is also a reason for such an
increase in obesity.

21. 0 20 40 60 80 100 120
Other mobile devices
Desktop computer
Tablet computer
Laptop or netbook
Mobilephone or smartphone
16 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65+
Devices used to access the internet by age group UK, 2018
%

22. 0 10 20 30 40 50 60 70 80 90 100
Other handheld device
Laptop
Tablet
Mobilephone or smartphone
16 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65+
Devices used to access the internet ‘on the go’, by age group UK, 2018
%

23. 0 10 20 30 40 50 60 70 80 90
Selling goods or services
Looking for health-related info
Internet banking
Finding information about goods
Sending receiving emails
2008 2018
%
Internet activities UK, 2008 and 2018

24. A DECADE OF COMMUNICATIONS CHANGE UK, 2018
2012 2015
39% 55% 5%11% 78% 44% 58%42%
•Smartphones have become the most popular internet-connected device (78% of UK adults use one)
•Ownership of tablets (58% of UK households) and games consoles (44% of UK adults) has plateaued in the last
three years
•Smart TVs were in 42% of households in 2017, up from 5% in 2012
•One in five households (20%) has wearable tech (smart watches, fitness trackers)

25. 24% of smartphone users unaware of whether
smartphone security has been installed
83%of all employed adults aged 35 to 44 years
used computers or portable devices at work

26. NHS Statistics

27. KEY FACTS
617
Thousand
Admissions
where obesity
was a factor
26%
Adults
16%
Children
Consumed
5 or more
Portions of
Fruit or veg
26%
Of adults
are classified
as obese
A 15% increase since 1993
1 in 5
Of year 6
children
classified
as obese

28. 0 5 10 15 20
Under 16
16 to 24
25 to 34
35 to 44
45 to 54
55 to 64
65 to 74
75 +
40 30 25 20 15 10 5
Directly attributable to obesity Where obesity was a factor
75+
65 to 74
55 to 64
45 to 54
35 to 44
16 to 24
Under 16
25 to 34
OBESITY RELATED HOSPITAL ADMISSIONS

29. Around every 2 in every 3
Patients were female
66%

30. 0
5
10
15
20
25
30
35
40
US
Mexico
NewZealand
Hungary
Australia
UK
Canada
Chile
Finland
Gemany
Latvia
Ireland
Luxembourg
Turkey
CzechRepublic
OECD34
Slovenia
Iceland
Belgium
Estonia
France
Greece
SlovakRepublic
Poland
Spain
Israel
Portugal
Denmark
Austria
Netherlands
Sweden
Norway
Switzerland
Italy
Korea
Japan
ADULT OBESITY UK COMPARISON WITH OTHER OECD COUNTRIES

34. Our app should
Help these people

37. Ensure partners are only
Companies that provide
healthy options such as fitness
Supplements, wearables, etc.
Try to set up local
authority events
Can we offer
Free app to kids
Our app provides
Great incentives

38. 0
10
20
30
40
50
60
70
Meets aerobic guidelines Some activity Low activity Inactive
Males Females
ADULT PHYSICAL ACTIVITY LEVELS UK

39. 0
5
10
15
20
25
30
BOYS GIRLS
2008 2012 2015
CHILD PHYSICAL ACTIVITY LEVELS UK

40. WALKING ACTIVITY LEVELS UK
The average person
• made 243 walking trips
• walked 193 miles
• spent about 75 minutes
per week travelling by foot
• Walked an average of 16
minutes per trip
25% Of
all trips
made
3% of
all distance
covered

41. CYCLING ACTIVITY LEVELS UK
The average person
• made 15 cycling trips
• cycled 53 miles
• spent about 7 minutes per
week travelling by bicycle
• cycled an average of 24
minutes per trip
2% Of
all trips
made
1% of
all distance
covered

42. ADULT DIET: PURCHASES AND EXPENDITURE ON FOOD AND DRINK UK
Total expenditure
£41.43
Household
£29.24
Eating out
£13.18
Food and Drink
£25.93
Food and Drink
£10.00
Alcohol
£3.92
Alcohol
£3.18
In 2015 the amount that an
average household spent on
all food and drink, including
alcoholic drinks and food
eaten out was £42.43 per
person per week.
When inflation is taken into
account, this was 0.1% more
than 2014 and 3.7% less
than 2012

43. Health Apps

44. Many fitness and health app users are loyal to their
favourite apps, with 96% using only one health and fitness
app. Over 75% of active users open their health and fitness
app at least two times a week, and more than 25% of users
access their fitness apps more than 10 times a week
Over the past year, mobile health &
fitness apps have grown 9%, with the
highest growth coming from studio and
fitness content apps (49%). Comparably,
nutrition apps have declined in usage
by 26%.
Workout and weight loss apps are
hugely popular, accounting for nearly
three-fourths of all health and fitness
app sessions. This trend can be
attributed to wearables like fitness
bands, which encourage users to track
their weight or exercises daily.
Fitness app usage correlates with seasonal workout habits!
The holiday season marks the lowest activity, followed by
a peak in January (after people have made their New
Year’s resolutions). Naturally, summer is also a popular
time when people are accessing health and fitness apps —
app usage is about 24% higher than the yearly average
KEY FINDINGS

45. 0 5 10 15 20 25 30 35
10+ / WEEK
6 - 10X / WEEK
2 - 5X / WEEK
1X / WEEK 25%
26%
33%
16%
HOW OFTEN DO PEOPLE USE HEALTH AND FITNESS APPS

46. 49%
11%
+9%
-26%
0%
Nutrition
Studios & fitness content Workout & weight lossMedical & Health
MOBILE HEALTH & FITNESS APPS GROW 9% YEAR ON YEAR
Average

47. 5%
1%
73%
21%
Workout & Weight loss
Nutrition
General Health
Studios & Fitness content
MOBILE HEALTH & FITNESS APP USAGE BY CATEGORY

48. DIGITAL HEALTH MARKET IN THE UK

49. DIGITAL HEALTH
TELECARE TELEHEALTH
ACTIVITY/FALL
MONITORING
LTC
MONITORING
REMOTE
MEDICATION
MANAGEMENT
VIDEO
CONSULTATION
WEARABLE
S
APPLICATIONS
MEDICAL APPS
WELLNESS +
FITNESS APPS
DIGITAL
HEALTH
SYSTEMS
PATIENT HELD
MEDICAL
RECORDS
PROVIDER HELD
MEDICAL
RECORDS
HEALTH
ANALYTICS
TELEHEALTHCARE MOBILE HEALTH
HEALTH
ANALYITCS
DIGITALHEALTH
SYSTEMS
GENOMICS
PRECISION
MEDICINE
DATA
ANALYTICS
According to the Digital Health market
in the UK we can enter 3 major areas;
Wellness and fitness app, Data
analytics, and patient held medical
records

50. DIGITAL HEALTH MARKETS 2014 - 2018
Telecare Telehealth Applications Wearables Health Analytics Digital Health
2014 2018
0.25
0.29
0.09 0.15 0.08 0.25
0.10
0.24
0.16
0.37
1.30
1.64
The 3 areas with the highest growth
are the 3 areas that our app is
entering. Possibly including Digital
health

51. DIGITAL HEALTH MARKETS 2014
Telecare
Telehealth
Applications
Wearables
Health Analytics
Digital health
systems
66%
13%
5%
4%
5%
8%
The 3 areas that we are primarily
focusing on have a huge
potential for growth

52. 2014 UK
market
size
(£m)
2018
UK
market
size
(£m)
2014-
2018
CAGR
Telecare 246 292 4%
Telehealth 90 148 13%
Applications 75 35%
Wearables 100 25%
Health Analytics 155 24%
Digital Health
Systems
1,300 1,640 6%
DIGITAL HEALTH INDUSTRY KEY STATITSITCS
2014
Global
market
size
(£m)
2018
Global
market
size
(£m)
2014-
2018
CAGR
Telecare 995 1,149 4%
Telehealth 732 1,236 14%
Applications 2,200 49%
Wearables 1,456 21%
Health Analytics 3,300 22%
Digital Health
Systems
14,700 19,300 7%

53. MOBILE HEALTH MARKET TIMELINE
1990s
2000
2002
2006
Widespread use of mobile phones
First Bluetooth headset shipped
Launch of Blackberry phone
Launch of NIKE + I-Pod
2007 Launch of I-Phone
2009 Launch of Fit-Bit Fitness tracker
2012 Launch of Pebble Smart-Watch
2013 Launch of Google glass
2014 Launch of Apple Health

54. 2014 2015 2016 2017 2018 2023
£2.2bn
£3.3bn
£5.0bn
£7.4bn
£11.1bn
£16.8bn
GLOBAL MOBILE HEALTH APP MARKETS 2014 - 2023
It is estimated that by
the year 2023 the
Global mobile health
app market will
exceed £16bn with a
year on year growth of
50%

55. GLOBAL HEALTH WEARABLES MARKETS 2014 - 2023
2014 2015 2016 2017 2018 2023
£1.5bn
£1.8bn
£2.1bn
£2.6bn
£3.1bn
£5.0bn
It is estimated that by
the year 2023 the
Global health
wearables app market
will reach £5bn.

56. TRENDS DRIVING AND CONSTRAINING GROWTH
An estimated 3 billion consumers globally will have smartphones by
2018
Safety/privacy concerns: consumer wariness may limit the uptake of
the more sophisticated mHealth apps, where patient-provider
communication is involved and mHealth intersects telehealth
High expectations: consumers expect that the use of mHealth will
extend life expectancy in the future
Self management: people want to be more knowledgeable and in
control of their own health
Financial benefits: opportunities to present wearable data as evidence
of a healthy lifestyle to reduce health insurance costs for consumers
have been developed in some markets
High price of wearables: many consumers have expressed a desire tor
wearables to be provided free of charge by insurers or employers
Technology
Market
Demand
Consumer
Drivers
Economic
Health/
Medical
1
2
3

57. Interoperability: the ability to integrate and share data from mHealth
apps and wearables into healthcare provider systems is not universal
Access to care: in emerging markets, where access to local care can be
difficult, mHealth adoption and usage has the potential to grow at a
more rapid rate
Technology
Reimbursement constraints: no clear pathway exists for health system
uptake and reimbursement of mHealth apps and wearables
Immature mHealth app business models: we anticipate shifts in
revenue generation; the percentage of mHealth app revenues coming
from paid downloads is predicted to fall from 24% in 2014 to 5% in
2017, replaced by a rise in service connected app revenues
Economic
Health/
Medical
Healthcare
system
drivers
Unclear regulation: many international regulators continue to be wary
about the potential outcomes and the future of regulation in this
segment is unclear
Safety/privacy concerns: there are still issues around data ownership
uncertainty
Regulatory
4
5
6

58. Financial benefits: Following Token economics and through smart contracts users will earn money for
completing fitness and health challenges and selling their data.
2
5
Safety/privacy concerns: Using simple hash cryptography each and every user will have their own
private and public key which will allow them to remain anonymous. Yet at the same time be able to
allow access to ALL of their data and even earn from it. It is the users Data!
1
High price of wearables: Using earned tokens from the sale of their data and completing fitness
challenges users will be able to purchase wearable products purchased through the app from our
partners
3
4
Interoperability: We intend to connect individual NHS Clinics to the IPFS thereby enabling ALL NHS
services access to a single network, saving the NHS millions of GBP and having the ability to connect
directly with individual user apps to view all of their data.
Reimbursement constraints: As mentioned in point 2, users will be able to be reimbursed for
completing their data and challenges.
Immature Business models: As is why we are hiring professionals to design every aspect of our
business concept.
6
SOLUTIONS TO DRIVE GROWTH

59. In the UK,
50% of the population use the internet to self-diagnose
with 75% going online for health information.
80% would like to view medical records online and
90% would use a service letting you ask questions to
clinicians, suggesting a high level of trust in health
technology
CONSUMER DEMAND
I am familiar with mhealth I engage with mhealth I currently use more than one app
Survey average Have poorly managed conditions Healthcare spending <30% of income

60. HEALTHCARE SYSTEM BARRIERS
Regulatory uncertainty there is significant
regulatory uncertainty around mHealth apps
and wearables, prompting many mHealth
products to categorise themselves as fitness
and wellbeing products.
Unclear approved reimbursement mechanisms reduce the
incentive for application developers and wearable makers to
focus on the healthcare system as a customer. 90% of
patients reported they would accept a mobile app
prescription from their doctor, as opposed to only two-thirds
of patients who reported willingness to accept a medicine
prescription. The willingness of patients adopt mHealth is not
reflected in the ability of doctors to prescribe smartphone
apps and wearables. In the UK, health apps can be
recommended on the NHS Choices website, a process that
checks their relevance, legal compliance and clinical
assurance/potential for harm. The reimbursement models for
these apps vary greatly; some are free to use, others charge
the consumer directly and some may be subsidised by local
authorities.
Imperfect data connectivity and
interoperability Data connectivity, security
and privacy are additional barriers to mHealth
adoption and integration. Until applications
are regulated they are unlikely to have clear
guidelines for use and interoperability
standards.

61. UK mHEALTH APP MARKET 2014-2018 (£m)
2014 2015 2016 2017 2018
£75m
£100m
£135m
£180m
£250m
A 2013 Deloitte survey
showed that 10% of UK
responders had
downloaded an app to
track their health, 17%
had used an app to
monitor and manage
fitness and health
improvement goals,
15% had used an app
to manage health
issues, 8% had used
mobile technology to
receive medically
related alerts or
reminders, and 5% had
used mobile technology
to send or receive a
picture related to a
health problem.

62. UK mHEALTH WEARABLES MARKET 2014-2018 (£m)
2014 2015 2016 2017 2018
£100m
£125m
£160m
£190m
£240m
Consumer adoption of
wearables in the UK is
on par with other
developed countries,
and estimates suggest
that up to £375 million
have been spent to date
on health and fitness
apps, smart watches,
running bands and other
similar devices in the
UK. The total UK market
size is estimated to be c.
£100 million in 2014, 7%
of the global market.

63. DATA ANALYTICS TIMELINE
1989
2003
2004
NHS starts collecting inpatient data
NHS starts collecting outpatient data
National diabetes audit (NDA) delivered by HSCIC in partnership with Diabetes UK
2007 NHS starts collecting A&E
2008 National Cancer Intelligence Network (NCIN) is set up to analyse cancer data
and improve cancer outcomes
2011 Healthcare data reaches 150 exabytes - UKPfIT abandoned
2013 Care.data publicity campaign announced Connected for health abandoned
2014 Care.data postponed by 6 months
National Information Board publishes Personalised Health and Care by 2020

64. The true value of data analytics is in the insights produced and applications
these insights are used for. In healthcare, these applications include:
Clinical decision making: enabling clinicians to make evidence-based clinical
decisions about patient care using data based historical data
Pathway design: using population level analysis to help redesign clinical
pathways.
Commissioning: developing standard frameworks and models for innovative
commissioning/funding using patient outcomes and resource utilisation data
for new and existing treatments.
Drug assessment: the long term use of real world evidence to support drug
development and approval.
Performance management: prioritising resource allocation and measuring key
performance metrics to better manage finances within the healthcare system.
Evidence based learning: using analytics to more effectively share best
practice.
DATA ANALYTICS - ANALYSIS
With Clinicians having direct
access to patients daily health
data via our app and creating
AI based UI which is stored
on chain via the IPFS we can
answer many of these issues
highlighted in this section.

65. GLOBAL HEALTHCARE ANALYTICS – MARKET 2014-2018
2014 2015 2016 2017 2018
£3.3bn
£4.0bn
£4.9bn
£5.9bn
£7.2bn
The global healthcare analytics
market was worth up to £3.3 billion
in 2014 based on triangulations of
various data sources, the industry
is relatively new and historical data
is limited. The market has grown
rapidly, due in part to government
mandates, particularly in the US
where healthcare providers have
been incentivised in recent years
to increase adoption of electronic
health systems and health
analytics.
Market forecasts are in consensus
that the healthcare analytics
market will continue to grow at a
rapid pace of c. 22% from 2014-
2018, reaching a global market
size of £7.2 billion in 2018.

66. TRENDS DRIVING AND CONSTRAINING GROWTH
Increased volumes of patient data: better technology has
created a significant amount of new patient data
Interoperability: initiatives leading to better data linkage and
more accessible data. This will reduce the amount of unusable or
unlinked data being generated
Healthcare commissioning: a shift from volume to value
based commissioning is expected and will drive the demand for
UK healthcare analytics
Clinical trials: There has been an increase interest in real world
evidence and post-marketing monitoring
Data governance: in certain countries there is continued
progress to enhance clarity and simply application of
information governance rules whilst ensuring privacy
Accessible
Data
Market
Dynamics
Data Sharing
and
Governance
Evidence
Based Activity
Analytic Skills Skills shortage: demand has outpaced supply in this sector
1
2
3

67. Integrated Digital Care fund: over £500m to support the
rapid progression to integrated digital care records improve
and information flows across organisational boundaries
Health and Social Care Information Centre (HSCIC):
national provider of information, data and IT systems for
commissioners, analysts and clinicians in health and social
care
The Farr Institute of Health Informatics Research: over
£35m to deliver high-quality, cutting-edge research linking
electronic health data with other forms of research and
routinely collected data, and build capacity in health
informatics research
National Information Board (NIB): bringing together
national health and care organisations from the NHS, public
health, clinical science, social care and local government, and
independent representatives to develop the strategic
priorities for data and technology
Primary Care Infrastructure Fund: 4 year £1billion
investment programme to accelerate improvements in GP
premises and infrastructure like IT
Government
programmes &
funding
4

68. Healthcare commissioning and Clinical trials: This is exactly the benefit of our system. The Research
companies will have access to millions of users ‘live’ data every single day. Using this system WILL
reduce pressures on the Healthcare services by focusing on giving users better incentives to get fit and
healthy and not need as much support from these services.
2
Increased volumes of patient data and Interoperability: We believe that by allowing Clinicians access
to the IPFS and using the already established Blockchain Ethereum Network we can not only save the
NHS millions in cost savings for hardware and security but also solve these 2 issues
1
Data governance: Due to the nature of the Hash #️⃣ cryptography technology we remove the
responsibility and therefore ‘power’ from any ‘one’ entity or company and give it directly back to the
consumer.
3
4 Government Programs and Funding: These programs and funds is something we should certainly
look into and see if as a private business whether we are entitled to such funds
SOLUTIONS TO DRIVE GROWTH

69. PRIMARY OBSTACLES TO WIDESPREAD ANALYTICS ADOPTION
0 5 10 15 20 25 30 35 40
Don’t know where to start
No case for change
Lack of skills internally in the line of business
Lack of executive sponsorship
Competing management priorities
Lack of understanding how analytics can…
Culture does not encourage sharing information
Ability to get data
17%
19%
23%
24%
25%
34%
35%
37%
These obstacles are of
critical importance to
the overall success of
the app and the
adoption of research
companies and
clinicians using the
system to improve
their service to
patients and reduce
costs.
The best way to
approach these issues
is through education
and arranging
seminars.

70. DIGITISED HEALTH SYSTEMS
vA digital health system encompasses a wide array of technical capabilities
from network infrastructure to data storage and exchange. This report
examines the information technology systems for storage and exchange of
patient health records, including:
patient held digital records;
• provider held electronic medical records;
• electronic health information exchange (including patient portals and
electronic provider-provider communication);
• and e-Prescribing.
In the UK, there have been a number of high profile government initiatives to
spur the digital health system market. These actions led
to early and considerable user penetration, with over two-thirds
(68%) of GPs in the UK having multifunctional health information
technology capabilities and 97% having some form of more
basic Electronic Health Records (EHR) by 2012.
However, penetration in acute care settings lags behind.

71. DIGITISED HEALTH SYSTEMS
v
1980’s
2002
UK initial national health information strategy
Technology (NPfIT) launched, with the NHS Care Records Service in England
providing centrally stored patient summary records as the cornerstone
2005 NHS Connecting for Health (NHS CFH) set up to maintain and develop the NHS
national IT infrastructure and deliver NPfIT
2007 NPfIT Local Ownership Programme established, shifting local delivery responsibility
from NHS CFH to groupings of health authorities; GP Systems of Choice NHS
scheme to fund the provision of GP clinical IT systems
2013
Personalised Health and Care by 2020 framework published by the (NIB) outlining
a framework for data and technology use to improve healthcare delivery; states
an ambition to make real-time data available for HCPs and for patients to have
online records access by 2018 .
2014
The Integrated Digital Care Fund (formerly Safer Hospitals, Safer Wards Technology
(Fund), totalling £500m investment, launched to better enable a digitised NHS
1989 NHS Executive Information for Health published,
committing 35% of acute hospitals to electronic
patient records by 2002

72. GLOBAL DIGITISED HEALTH SYSTEM MARKET 2014-2018
v
2014 2015 2016 2017 2018
£14.7bn
£15.7bn
£16.8bn
£18.0bn
£19.3bn
In terms of future growth, analyst
forecasts place global industry
annual growth at rates between 5%
and 10%,
with more rapid growth in the US and
Asia versus the more mature
European markets. Government
incentives
will continue to play a large role in
the adoption of digitised health
systems. Developing countries will
afford an opportunity for innovation
and expansion in the years to come,
whilst updating and replacing
outdated infrastructure will be a

73. TRENDS DRIVING AND CONSTRAINING GROWTH
Improved quality of care: rise in patients with long-term conditions (increased
need for disease management tracking and medical record sharing between HCPs)
Systems: innovative reimbursement models such as outcomes-based payments
(capitated tariffs) can be commissioned with digitised health systems
Interoperability: remains challenging and critical given the range of different IT
systems in the NHS
Capabilities: skills shortages in IT roll out, analytics and change management
Data: significant privacy, safety, and ownership issues
Barrier to entry: different regulations across Europe
Health
outcomes
Market
Demand
Access
Technology
Government
Initiatives
Vision: Personalised Health and Care by 2020, Five Year Forward View, Scottish
eHealth Strategy
Initiatives: GP Systems of Choice, Integrated Digital Care Fund, NHS Infrastructure
Fund
1
2
Minimum of 3 years for positive ROI: implementation costs are high, but
operating efficiencies can be found through:
– decreased record storage and related staffing costs
– increased workforce productivity
– decreased health services utilisation unnecessary laboratory and radiologic
testing)
Long term
investment for
ROI
3

74. Interoperability: By allowing the NHS Clinicians access to the IPFS and on the Ethereum network will
save the NHS millions in unnecessary hardware and security costs not to mention the unseen savings in
reduced waiting times and treatment for metabolic diseases such as obesity, diabetes and heart disease.
2
Improved quality of care and Systems: We believe that by allowing Clinicians access to the IPFS and
our system and having millions of users on the app focusing on health and fitness hopefully will reduce
the pressures on clinicians allowing them time to improve their services.
1
3
Minimum of 3 years for positive ROI: The investment costs will be greatly reduced by implementing
this system. The ROI will obviously be reduced and the front end UI and UX will be easy to operate and
standardised throughout the entire NHS improving connectivity.
SOLUTIONS TO DRIVE GROWTH

75. DEVELOPMENT STAGES
12.03.2019 Animated app prototype complete
15.03.2019 Logo creation complete
22.03.2019 Landing page complete
05.04.2019 5 x page product overview teaser complete
8 x legal templates complete
05.04.2019 Start contacting partners, exhibitions and street, gym surveys
01.10.2019 First stage of initial funding completed
01.12.2019 – 01.07.2020
First stage of initial funding completed
Beta version of app completed and launched