Understanding the health data future - Deloitte Healthconnect, co-hosted by DayOne

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HealthConnect
The Future of Health Data
2 March 2021

Today’s Panel
NicoKleyn
ManagingPartner for Life
Sciences and Healthcarefor
Switzerlandand North South
Europe, Deloitte
AntonioRusso
Innovation Leader and
Partner,Deloitte
NishantSinha
Life Sciences Director,
Deloitte
ThomasBrenzikofer
Co-Founder, DayOne
AlexanderFink
Member of Executive Board,
ScMI
KatrinCrameri
Director,SIB PersonalizedHealth
and InformaticsGroup & SPHN
Data CoordinationCentre
Egle Thomas
ManagingDirector of Stratergix
GmbH
MichaelRebhan
Senior PrincipalScientist,
Novartis
Randall McGuire
Managerof Economic Affairs,
Novartis
StefanoNapolitano
Managementand Platform
Business Developer, Midata

Today’s Agenda
16:00-16:10CET Welcome • Nico Kleyn; Managing Partner for Life Sciences and Healthcarefor Switzerland and
North South Europe, Deloitte
16:10-16:25CET The HealthDataScenarios • ThomasBrenzikofer;Co-Founder,DayOne
16:25-16:40CET The HealthDataEcosystemof the future • Nishant Sinha; Director, Deloitte
16:40-17:20CET The Futureof HealthData • Michael Rebhan; Senior Principal Scientist, Novartis
Panel Discussion • Randall McGuire;Manager of Economic Affairs, Novartis
• Alexander Fink; Member of Executive Board, ScMI
• StefanoNapolitano; Managementand Platform Business Developer, Midata
• KatrinCrameri;Director, SIB Personalized Health and InformaticsGroup & SPHN Data
Coordination Centre
• EgleThomas; Swiss InnovationAgency
• AntonioRusso; Innovation Leaderand Partner, Deloitte
Facilitatedby: • ThomasBrenzikofer;Co-Founder,DayOne
17:20-17:30CET Wrapup andOutlook • ThomasBrenzikofer; Co-Founder,DayOne

Healthcare Innovation -
DayOne
Thomas Brenzikofer, Co-founder,
Manager Community & Events
Discover
© 2020 Basel Area Business & Innovation, all rights reserved.

DayOne is on a mission to
Shape the future of health
© 2019 Basel Area, Switzerland, all rights reserved.

Vision/purpose
Together with great innovators,
through collaboration and
partnerships, we continue to
build a strong ecosystem to
deliver solutions for better
health.

What we offer
A healthcare innovation platform with
a unique bundle of services that
reinforce each other to enable
transformation:
1. A community/network to
connect
2. Events to get inspired
3. Catalyst projects to activate
4. An accelerator program to grow
5. A hub for life sciences and
innovation to establish your
presence in Europe
6. Workspaces to collaborate

DayOne
Health Data
Scenario Project
2020

Beat Meyer, Blauen Solutions
Alexander Fink, ScMI Scenario Management International
Thomas Brenzikofer, DayOne Basel Area
Nishant Sinha, Deloitte

;
Scenario Drivers & Contributors
Karin Wertz, DSM; Helena Slama, Alumni at sitem Center, University
Bern; Micheal Rebhan, Novartis; Nuhija Arben, Helsana; Stefano
Napolitano, Midata; Oleg Lavrovsky, Open source developer; Camille
Andre, Roche; Peter Groenen, Idorsia; Cordelia Trümpy, Diabetes
Center Berne; Laurenz Balzer, Publisher; Moritz Fegert, foraus; Maria
Hahn, Nutrix; Giovanni Nisato, Innovation Horizons; Renata Lazarova,
Noema Pharma; Evelina Georgieva, Pryv; Thomas Stricker, Primovis;
Bettina Schneider, FHNW; Steven Bourke, Patient Advocate;
Christopher Rudolf, Volv

The DayOne Health Data Scenario Project Journey
1. Scenario
Field Analysis
2. Scenario
Prognostics
3. Scenario Creation
4. Scenario
Assessment
5. Scenario
Report
April
> Selection
and Definition
of key
influence
factors of
future health
data
ecosystems
> Projections of
how dif-ferent
key influence
factors will
change over
time
August
> Evaluation
first set of
scenarios in a
comprehensive
„map of the
future“
September
> Define paths
from pre-sent to
future scena-
rios identifying
opportunities
and threats
December 2020,
March 2021
> Describe
Scenarios and
discuss conse-
quences for
ecosystem and
stakeholders
June

Wisdom of the Crowd
50+ experts
3 Sessions, 18+ hours of workshop
pulling together knowledge and insights
co-creating tangible outcome:
10 Scenarios

© Scenario Management International AG 15
Map of the Future
15
6
1
10
5
9
4 8
3
7
2
Traditional system –
moderate growth
BigTechs drive traditional
(monopolistic) system forward
MedTech as trusted
health partner
Competition drives
cooperation
Free market
meets regulation
Low tech –
high health literacy
Power to the patients
Global health
authority
Resurgence of
nationalism
Capital and
incumbents drive
tech focused
innovation creating
a vendor market
Democratization of Tech
and Data access drive
innovation creating
prosumer market
Consumer behavior
drives innovation
creating a Buyer
Market
Government drives
innovation (if at all)
creating a flat Market
One-world-framework
for holistic growth

Map of the Future
Health data scenarios
16
6
1
10
5
9
4 8
3
7
2
Ow
VC
Tr
Mn
Inf
Std
Citizen
Ownership
of data
Open
infrastructure
High trust
in data
Strong
monetization
of data
Broad data
value chain
High
standardization
of data
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std
Ow
VC
Tr
Mn
Inf
Std

A) Digital Technology
will not deliver on
promise – innovation
will only lead to
incremental change
B) Digital Technology
will deliver on promise
– innovation will lead
to disruptive change

A) Changing
Healthcare Culture -
Patient/Citizen wants
to be in charge and
will play an active role
B) Traditional
Healthcare Culture –
Patient/Citizen does
not seek active role

1abc: Tech – / Culture –
 evolutionary change
 flat market
 public drive innovation (if at all)
2ab: Tech – / Culture +
 technological stagnation
 buyer market
 patient needs drive innovation
3abc: Tech + / Culture +
 democratization of tech
 creation of new markets
 ecosystems drive innovation
4ab: Tech + / Culture –
 tech shapes healthcare
 vendor market
 corporations drive innovation

A) Patients/Citizens trust
existing providers –
stakeholder landscape
remains as it is
B) Patients/Citizens are
open to new providers –
stakeholder landscape
changes

A) Public driven and
global regulatory
framework in place –
transparency over use of
health data
(3b = strong regulation of
BigTech, but not globally)
B) Corporate driven and
globally fragmented
regulatory framework
reins – no transparency
over use of health data
(2b = regulation only on
national level)

Left  Regulation divides Scenario Cluster 1 and 3
Right  Emergence of new Stakeholders divides Cluster 2 and 4

How will these
scenarios impact the
health data ecosystem?
respectively
How will the health data
ecosystem have to be
governed to facilitate
these scenarios?

Health Data
Ecosystem:
Ow = citizen is in control
of ownership
Inf = infrastructure is
open
Tr = trustworthiness of
data is ensured
Mn = Monetization of
data is enhanced
VC = Data Value Chain is
broad
Std = level of
standardization is high

© Scenario Management International AG
6
1
10
5
9
4 8
3
7
2
25
Scenario 6:
One-world-framework for holistic growth
Innovation and harmonization accelerate a
data-driven health care system
6
New health world.
 A harmonization of both technological and legal
standards provide a growth framework for AI and further
technologies.
 This leads to a completely new health care system with
value-based approaches including prevention and non-
medical interventions.
 New key players arise by meeting the high ethical
standards. The interconnectedness of data is supported
by its high quality and degree of standardization.
Ow
VC
Tr
Mn
Inf
Std
Citizen Ownership of data
Open infrastructure
High trust in data
Weak monetization of data
Broad data value chain
High standardization of data

Scenario 6:
One-world-framework for holistic growth
Innovation and harmonization accelerate a
data-driven health care system
In 2035, the global development has taken a positive turn: with multilateral power structures accelerating globalization, an overall
positive economic development emerges. Especially in the IT sector, innovation takes place – due to harmonized political aims,
standards for disruptive technologies such as AI are quite high. The cooperative global structures have a positive influence on
health care systems which are furthermore open for innovation and supporting it with the necessary structures. This way, data
analytics including AI are integrated in the health system. Global framework conditions furthermore support an optimal usage of IT.
The high innovation degree is supported by a cooperative research structure. Research takes place in multilateral and
interdisciplinary teams, while the high feasibility of innovations in the health care system guarantees financial coverage. This leads to
a high emergence of new key players – they are able to meet the high ethical standards which serve as market entry barriers. In line
with strong globalization, health players can operate nearly without borders and utilize standardization.
Health care services and processes have changed dramatically. Not only has the emergence of new technologies lead to several new
treatments and curative as well as diagnostic possibilities, but citizens adjust their view on health and disease fundamentally,
becoming more aware and engaged in processes. Value-based medicine has changed how health is viewed. In line with a broad
supply of diagnostics, personalized medicine has become the new normal, putting the patient and his needs into the center of
attention. In a health care system driven by innovation and data-based technologies, traditional players lose their power position
and are rather one part of a cooperative team. New HealthTech players are integrated in health care processes, whilst patients and
citizens themselves are more active, as well.
A highly regulated data ecosystem ensures that health data is legally owned by its generator. Furthermore, data is high in quality
concerning standardization as well as trustworthiness. The high accessibility of health data allows for an active participation in the
health care system. Patients are willing and able to take high responsibility for their own well-being. The broad scope of the health
data value chain also includes, in line with the open system infrastructure, a high diversity of players. In line with a strong regulation,
common and non-proprietary platforms for health data management arise in order to ensure the free data flow whilst keeping
citizens in control.
10
5
9
4 8
3
7
2
1
6

Dr. Alexander Fink, CEO ScMI
Methodology & Assessment

Understanding the health data future
28
Scenario development
is a creative process …
… but based on a
systematic approach

Scenarios ...
29
Bilder: fotolia / Adobe Stock
… are based on
future-open thinking
and describe
alternative possibilities
… are based on
systems thinking and
include complex
interrelationships
… are like a weather forecast,
because they describe
possible framework
conditions for our trade
… are based on
plausibility and
consistency, not
on probabilities
… are thinking tools that
help us to recognize
possible developments
at an early stage
… are the basis for a
map of the future that can
be continuously updated

Scenario development: Scenario field analysis
Company
Preliminary
work
Scenario field analysis
What are the main factors for
the development of the
environment? (key factors)

Company
Preliminary
work

Company
Preliminary
work
5 Availability and
ownership of
health data
 Public good / private asset
 Access to health data
 Will it be possible to establish a joint data
governance standard?
 How will the interest for “open data” and
“open innovation” grow?
 Data markets
 What is the correct data standard?
 Can historical data be read, meta data and
proven to be accurate?
 Barriers of access

Company
Preliminary
work

1 Global environment
2 Role of IT / IT-Power
3 Data Analytics
4 Legal framework for the health system
5 Research in the healthcare system
6 Genetics & Bio Technology
7 Precision / personalizedmedicine
8 Diagnosis / Digital bio-markers
9 Health tech companies
10 New / value-based business models in health care market
11 Structure of the health care system
12 Health care services & processes
13 Citizens / patients in the health care system
14 Health behavior
15 Health data economy
16 Health data value chain
17 Health data infrastructure & devices
18 Health data quality
19 Health data privacy
20 Ownership of health data
34
Company
Preliminary
work
Our questions to
the future!

When developing future projections, it is
important to look at the key factor from different
perspectives and ultimately filter out the most
relevant development opportunities.
35
Scenario development: Scenario prognostics
Company
A
C B
D
KF
A
B
C
KF
INFLUENCING FACTORS
KEY FACTORS
FUTURE PROJECTIONS
Scenario prognostics
What alternative
developments are conceivable
for the individual key factors
(future projections)?
Preliminary
work

perspectives and ultimately filter out the most
relevant development opportunities.
36
Company
A
C B
D
KF
A
B
C
KF
What alternative
Preliminary
work
INFLUENCING FACTORS
KEY FACTORS
FUTURE PROJECTIONS

Company
A
C B
D
KF
A
B
C
KF
What alternative
Preliminary
work
INFLUENCING FACTORS
KEY FACTORS
FUTURE PROJECTIONS

perspectives
and ultimately filter out the most relevant
development opportunities.
38
Company
A
C B
D
KF
A
B
C
KF
What alternative
Preliminary
work
INFLUENCING FACTORS
KEY FACTORS
FUTURE PROJECTIONS

MAP OF
THE FUTURE
39
Scenario development: Scenario creation
Picture: Robynmac - fotolia
Company
C B
D
KF
A
C
KF
A
B
Scenario creation
Which plausible scenarios (as a
plausible combination of
future projections) are
conceivable and how are these
scenarios related?
What alternative
Preliminary
work
SCENARIO
INFLUENCING FACTORS
KEY FACTORS
FUTURE PROJECTIONS
1
5
9
6
3
4
2
8
7
10

3A
1A
4B
2B
4A
2A 3C
1C
3B
1B
40
Scenario development: Scenario creation
Picture: Robynmac - fotolia
Company
C B
D
KF
A
C
KF
A
B
Scenario creation
Which plausible scenarios (as a
plausible combination of
future projections) are
conceivable and how are these
scenarios related?
What alternative
Preliminary
work
INFLUENCING FACTORS
KEY FACTORS
FUTURE PROJECTIONS

41
Scenario assessment
is primarily used to determine where
we are today and what changes are to
be expected
Scenario
development
is primarily used to get an
overview of future possibilities
and to understand possible
futures.

Scenario assessment:
Current Situation
42
6
33
43 29
22
moderate growth
HealthTech as trusted
health partner
Global health
authority
Resurgence of
nationalism
58
64
90
83
92
LEGEND
For no key factor are the
projections of this scenario
consistent with the current
assessment.
For all 22 key factor are the
projections of this scenario
consistent with the current
assessment.
0 100
43
Culture- and process-driven change
of health care services
Traditional culture of health care system
Low level of technology-driven
change of health care
High level of technology-driven
Current situation
#

Map of the Future
Preferred Future
43
37
24
11 20
4
Competition drives
cooperation
Free market
meets regulation
Low tech –
One-world-framework
for holistic growth
57
55 63
68
90
Preferred future
#

Map of the Future
Preferred change
44
moderate growth
health partner
Competition drives
cooperation
Free market
meets regulation
Low tech –
Global health
authority
Resurgence of
nationalism
One-world-framework
for holistic growth
-21
-40
-79
-63
-88
+24
+12 +34
+46
+84
Preferred future
#
Current situation
# Difference

Expected Future
45
Expected future
#
21
45
40 45
27
moderate growth
health partner
69
32
51 70
48

Expected change
46
+15
+12
-3 +16
+5
+11
-32
+13
moderate growth
health partner
Competition drives
cooperation
Free market
meets regulation
Low tech –
Global health
authority
Resurgence of
nationalism
One-world-framework
for holistic growth
-39
-44
Expected future
#
Current situation
# Difference

47
„We can‘t use an old map
to see a new land.“
Gary Hamel

Data Ecosystem of Future
Nishant Sinha

Copyright © 2021 Deloitte Consulting. All rights reserved. 49
Healthcare
(Providers and
Registries)
Technology
Vendors (AI,
automation,
Apps..)
Life Science
& MedTech
companies
Convergence
Focuson Patients
• Market shifts in healthcare i.e. from
treatment to preventionor personalized
care,are significant and affect all
players
• Industry borders willblur as digital
technology will disrupt, while bringing
value to patients’ lives
• Partnerships and data exchange
emerge to achieve better patient
outcome, opening opportunitiesfor
Analytics
• Increasing realization about data
ownershipand sharing
• Healthcare cost pressure and uncertainhealth
economy drives interest in financial sustainability
• Adapting to changingconsumerneeds,demands and
expectations(I.e. Apps., home-test kits)
• Using new care delivery models to improve accessto
andaffordability of healthcare
• Market complexity increase by new partnerships, new
disrupting players
• How to scaleinnovative analyticsand AI technologies
into healthcare, while staying legally compliant
• Legacy ways of working and lack of standards hinder
the exchange of patient and outcomes data
Convergence Challenges
The Future of Health is now…
Convergence Between Life Science, Healthcare And Technology, Leading To Innovative Digital
Health Solutions

Power new ways to
complete enabling tasks
and address jobs-to-be-
done in the future
Radically interoperable data
and open, secure platforms
Primarily aimed to sustain
wellbeing, providing care only
in the rare instances when
wellbeing fails
The Future of Health

Present
In traditional models of change tech leads charge, followed by
business models, and then regulation
14 years 21 years
Pace
of
innovation
Perceptionis linear…
Realityis exponential…
7 years
TECHNOLOGICALDEVELOPMENT
Moore’slaw:thepower ofchips, bandwidth and
computersdoublesapproximatelyevery 18
months
Trends
underlying
exponential
growth
Additive manufacturing (e.g., 3D printing)
Artificial intelligence (e.g. ML, NLP)
Biomedical engineering (e.g. stem cells)
Connectivity (e.g., 5G, IoT)
MOBILEPHONES:
The number of mobile phones worldwide
doubled in the last
48 months
DNA SEQUENCING:
From $1 billion and 13 years to <$100and
<1 hour
DATA STORAGE:
From $569 per GB to
<$0.01
THE HUMANFACTOR
Technology development feedsand enables
varioustrendsin society:
Well-being
Decentralization
DIY
Social connection
In health care, regulatory bodies
(e.g., FDA) are working to keep up
with the pace of change
spearheaded by innovative
entrants
Understood… Directional… Unknown
Quantum computing (e.g., supersonic drug design)
Data liquidity (e.g., cloud, blockchain)
Extended reality (e.g. AR, VR, spatial computing)
Nanotechnology (e.g., smart fabrics)
Robotics (e.g., robotic surgery)
What
We
WANT
versus
What
We
HAVE
versus
What
We
Think
We
Will
GET
Patient Expectations And Increasing Choices To Fulfil The Aspired Level Of Service Will
Further Accelerate Disruption

DataEcosystemof Today DataEcosystemof Future
• Data Owner
• Terms and Condition
• Organization Efficiency
• Unidirectional Data Flow
• Data Traceability Limited
• Limited Access to Data Through
Standard Protocols
• Data Custodian
• Usage Transparency
• Patient / User Experience
• Fully Open Platform
• Security of Data
• Ease of Access / Share
WE KNOWWHAT IS BEST FORYOU WE DO WHAT IS BESTFOR YOU
Evolving Data Ecosystems
There Are 6 Key Areas Where Data Ecosystems Will Evolve

1 Whereis the data?
2 Can I and shouldI use it?
3 Can I shareit?
4 Who ownsthe data?
5 Responsibilities duringa breach?
Chatbots
Health records
Cloud based applications
Mobiledevices
Mobile Network
Medical Devices
Eatinghabits
Social Media
HealthManagement
Communities
Key Questions to Answer For Organizations

1 Speed of ChangeVersus Directionof Change
2
Trustis keyto Adoption
3
Digital Adoptionis the Norm
PermanentAccessto
Dataversus TimeBound
App NoiseVersus Speed
to Insight
WHO willyou Trust
WHAT willyou TrustthemWITH
WHAT willyou TrustthemFOR
Time-BoundAccess to vaccine,locationand
health data
Appsas FirstSourceof Information :
Discoveringthe right app at the righttime is
essentialin our connectedworld
Growth in the number of medical apps downloaded during the
COVID-19 pandemic by country in 2020*
*https://www.statista.com/statistics/1181413/medical-app-downloads-growth-during-covid-pandemic-by-country/
1 https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020
◊
◊
Closing Thoughts
11th March 2020 – WHO declared COVID a pandemic 1. Over last 12 months , some themes have
become increasingly clear

“The best way to predict the future is to create it.”

Panel Discussion

Wrap up

Outlook
DayOne Health Data Scenario Project
2021
Canton Basel-Stadt, Canton Basel-Landschaft,
Seco/NRP, BIOPRO BW, Canton Zurich
Novartis, Deloitte

60
Health Data Scenarios 2021
Stakeholder-specific stresstests and consequence
analyses are the core elements in the 2021-process,
which starts with this workshop
Health Data Scenarios 2020
Health data scenarios as covered in the
2020 DayOne-study are the foundation
for understanding the health data future

Health Data Scenario Project 2021
Stakeholder-Stream 1
Life Sciences,
Research,
BigTech
Stresstest-Workshop
18 May
Healthcare
Providors and
Payors
Stresstest-Workshop
1 Juli
HealthTech,
Startups,
Investors
Stresstest-Workshop
6 September
Public Authorities,
Society and Citizens
(Patients)
Public-Workshop
tbd
DayOne Expert Event „10 Health Data Scenarios and their possible implications“
2 March
Publication Report „Scenario for the future health data ecosystem
March
Consolidation of results:
Consolidation workshop (November)
Dissemination of Outcomes:
Report, Social Media, Workshops, DayOne Conference

Summer break
Basel 3 Jul – 15 Aug
62
Project plan
02/21 03/21 04/21 05/21 06/21 07/21 08/21 09/21 10/21 11/21 12/21
Project Planning & Design
1A1
Expert Event
1A2
TU, 2 Mar
Internal Partner Kick-Off
1B
TH, 8 Apr
Kick-Off Stream 1: Pharma
2A Preparation Stream 1
Stresstest-Workshop Stream 1
TU, 18 May
Kick-Off Stream 2: HC-Provider
2B Preparation Stream 2
TH, 1 Jul
Kick-Off Stream 3: HealthTech
2C Preparation Stream 3
MO, 4 Sept
Kick-Off Stream 4: Public
2D Preparation Stream 4
Consolidation of results
3
TH, 20 Oct
D1 Conference
End of November
Consolidation workshop
WE, 21 April
TH, 27 May
MO, 23 August
TH, 23 September
Basel
Break
2 -12.
Oct

Stakeholder streams
Preparation of
workshop
• Scenario
Assessment
• Analysis and
structuring
consequences
Intro-Workshop
Stakeholder-stream
• Presentation of
concepts, scenarios
and map of the future
• Validation of core
questions
• Introduction into and
preparation for
specific scenario
assessment and
consequence analysis
Stresstest
Workshop
• Presentation and
common
interpretation of
scenario assessment
• Presentation and
intensive discussion
of consequences for
specific stakeholder
group
Participants
complete
projection
assessment
Participants
complete
consequence
questionnaire
• Duration: 2h
• Location: Online
• Particip: 30-40
• Duration: ½ day
• Location: local
• Particip: 30-40
• Option: 3h/Online
Preparation of
workshop
• Determination
of core
questions
• Selection of
scenarios to
be considered

Thank you!
Contact:
Thomas.Brenzikofer
@baselarea.swiss

Understanding the health data future - Deloitte Healthconnect, co-hosted by DayOne

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Understanding the health data future - Deloitte Healthconnect, co-hosted by DayOne