2. Centre for Health and Technology (CHT)
1. Manages multidisciplinary R&D&I cooperation on personalized health and health
technologies in Ouluhealth ecosystem (Oulu, Finland)
2. Supports ecosystem members in progressing solution closer to market and
deployment
3. Promotes the innovation capacity by developing agile innovation processes
4. Facilitates strategic cooperation through international innovation networks and
partnerships
cht.oulu.fi
3. OIA partners and ecosystems:
- City of Oulu –Attractive active city
- University of Oulu-Industry 2026
- VTT Technical Research Centre of Finland- ICT and digitalization
- Oulu University of Applied Sciences-Agile commercialization
- Oulu University Hospital (OYS)-OuluHealth
- Technopolis-business park
- LUKE (Natural Research Institute Finland)
- The Oulu Region Joint Authority for Education (Osekk)
OuluHealth focus areas:
- Personalized health and wellbeing
- Effective health and social care services and products
- World´s smartest university hospital
Oulu Innovation Alliance (OIA) is a strategic cooperation agreement
4. Building blocks of OuluHealth ecosystem
Innovation platforms:
‒ match-making events
‒ testing and piloting platforms
‒ digital co-creation platforms
‒ biobanks & cohorts
Innovation capacity building:
‒ national and international innovation
networks
‒ agile innovation process
R&D&I management:
‒ new strategic spare heads
‒ thematic and multidisciplinary R&D&I
‒ Solutions closer to market
5. 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
I N N O V A T I O N C A P A C I T Y B U I L D I N G
OIA agreement
CHT
OuluHealth
Future Hospital
OuluHealth Labs
READiIndico DHR DOB
MIDASYSIWILLE
Regional eHealth
strategies in EU
INKA
6. Need for change in the management of personal data
Antti Poikola, Kai Kuikkaniemi
7. My Data Principles
Human Centric:
individual in control, transparency to personal
data usage, privacy, trust
Usability of Data:
guarantee data portability, machine readable,
open formats, APIs, standards
Open Business Environment:
interoperability, possibility to change services
without “data locks”
Source: Human Centric Approach for organizing Personal Data; Ministry of Transport & Communication, Finland
8. MyData and research projects
• PDMP
• HIIT, KTK, ETLA. Personal Data Management Platforms. Policy recommendations.
• sMall (EIT):
• MyData and Mobility. HIIT ja FVH
• Trusted Cloud HII
• Led by F-Secure EIT project
• Digital health Revolution
• Large strategic research project in health care sector led by CHT
• Datasta bisnestä ja oivalluksia,
• WP:Good long life led by CHT; 6aika
• MIDAS, Meaningful Integration of Data, Analytics and Services;
• MyData policy in EU, (VTT, THL, CHT from Finland);H2020
9. HEALTHCARE TODAY
• Disease management
• Similar services for everybody
• Reactive
• Provider centric
Drivers for the future data driven health care solutions-
Selling care vs. selling health
FUTURE HEALTH AND CARE
• Preventive
• Personalized
• Predictive
• Participatory
10. Governmental programme and answering to the
digital challenge in the health field
"People’s right to decide about and monitor their personal information will be enhanced, while
ensuring the smooth transfer of data between the authorities."
- Finland´s Governmental Strategic Programme May 29, 2015
MyData principles have been considered in national strategies, namely ICT2015 (by Ministry of
Employment and the Economy) and Secondary Use of Own Health Related Data (by Ministry of
Social Affairs and Health)
Ministry of Socials Affairs and Health strategy:
- Information to support well-being and service renewal. eHealth and eSocial Strategy 2020.
Ministry of Transport and Communications:
- MyData principles
- MyData Whitepaper: https://www.lvm.fi/documents/20181/859937/MyData-nordic-model/2e9b4eb0-
68d7-463b-9460-821493449a63?version=1.0
11. We will
contribute to the change in the control of data in favor of the
individual
explore health-related data from genomics to digital footprint
develop successful personal data movement across systems and
services
build pilots/service scenarios of new service concepts
study the business logics and consumer involvement
invite actors to join the Mydata ecosystem
Digital Health Revolution (DHR)
Unique approach to develop future MyData
based health services
12. Digital Health Revolution
Human-centric health care
New tools for development of personalized health and wellbeing solutions
MAKING
VALUE OF
PERSONAL
ANALYTICS
CONNECTING
DATA TO
SERVICES
LIBERATING DATA
MY
DATA
www.digitalhealthrevolution.fi
13. Digital Health Revolution
- main research tracks
Riitta Sallinen, FIMM
DHR pilot
riitta.sallinen@helsinki.fi
Minna Pikkarainen, UO/VTT
Services and Business
minna.pikkarainen@oulu.fi
Harri Honko,TUT
Technology and Regulation
harri.honko@tut.fi
Maritta Perälä-Heape,
CHT/OuluHealth
Management
maritta.perala-heape@oulu.fi
Antti Poikola,HIIT
MyData Ecosystem Widening
antti.poikola@gmail.com
Olli Kallioniemi, FIMM
DHR pilot
olli.kallioniemi@helsinki.fi
14. HEALTH CHECK-UP 1.0
Next generation HEALTH CHECK-UP 2.0 and WELL-
BEING PLAN
MEDICAL HISTORY LAB TESTS
DOCTOR’S
APPOINTMENT
• Blood samples
• Possible other tests based on the
known medical history
Form
• Health history based on
customer’s memory
• Health self-assessment
Analysing & processing
the risk factors
• Laboratory results
• Physical health
• Ergonomics
Wellbeing
trainer
view
Health
nurse
view
Health care
provider invites
customer for a visit
when risk levels
rise
Early
intervention
Continuous
feedback
and
guidance
HEALTH ACCOUNT
15. Building the showcases, infrastructure
tools & demos for MyData transformationMyDataPrinciples
ToolsforDemonstration
MyDataTransformation
Human centric
control of data
Portable data
Open business
environment
Co-creation
Technological Demos
Know how in
Regulation
Business framework
MyData clinic
MyData Alliance
Use cases
DHR pilot
Customer journeys
Modelling the
business ecosystem
Modelling the service
ecosystem
16. MYDATA CLINIC
STEP 1 – INTRODUCTION TO
MYDATA
STEP 2 – END USER AND
BUSINESS VALUE ANALYSIS
STEP 3 – TECHNICAL AND
REGULATORY ANALYSIS
STEP 4 – TOWARDS MYDATA
ECOSYSTEM
CONTENT
MYDATA BASED SERVICE REALISATION AND VERIFICATION
• MyData principles
• Ideas, needs and
capabilities of the
company / organisation
• Deepening customer
understanding
• Defining MyData based
service scenarios
• Value creation networks
and business models
• Technical specification
• Defining data
management from
regulative point of view
• Iterative development of
the final concept, testing
and co-creating with the
users of the service
OUTCOMES
• Understanding of the
possibilities of a MyData
based solution
• Understanding of the
main customers and
stakeholders
• Customer journey
• Value network analysis
• Business model canvas
• MyData compliant
technical architecture
draft
• Identified barriers
Finalised:
• Service concept
• Technical architecture
• Prototype
• Business model
17. Digital Health Revolution – pilot study:
Next Generation Health Check-Up and Systems
Monitoring for Personalized Wellness
Prof. Olli Kallioniemi
Riitta Sallinen, Anu Kiuru, Timo Miettinen et al.
• How to collect digital health and wellness
data?
• How to analyze such data?
• How to return key actionable data to people
in order to coach individuals towards better
health?
Health
questionnaire
Health
check-up
Clinical
lab tests
(blood,
urine)
Feces samples
→ 16S rDNA
Quantified self
measurements:
Withings, Moves,
RescueTime
Digital
footprints:
S Group,
K-Plus
Saliva samples
→ cortisol
100 participants (age 25-59)
Genomics
Proteomics
Metabolomics
Transcriptomics
18. Prof. Olli Kallioniemi
Riitta Sallinen, Heidi Virtanen
Prof. Leroy Hood (the Institute of Systems
biology, Seattle):
”Medicine gets up close and
personal if personal health data
is fed back to participants via life
coaches”
MyData approach changes the service design
and role of care givers
19. Lisää tarvittaessa alatunnisteteksti
Personal health accounts and on line health profiling tools:
• To support, motivate and encourage a more healthy lifestyle or more
healthy choices
• To assist in learning from past situations
• Easy access
Actionable data in the citizen’s everyday situations
20. Illustrate MyData use cases through concepts,
designs and demos
20
Augmented reality view to MyData
Dual-sided tablet for doctor patient interaction
MyData future dentist
Prof. Jonna Häkkilä/
21. MyData operator
Data sources:
Health check-ups (taken samples);
Self taken samples;
Activity and sleep measurements;
Digital footprint data;
Work time (computer time);
Fitness tests
Data source:
eQuestionnaires
Data sink:
Personal Health
account (Terveystili
UI)
Data sink:
Biobank
Harri Honko/
Case: Data management via MyData operator
22. Current ’consent scene’ in Hämeenlinna
Taltioni
Duodecim
EBMeDS
(Processor)Kanta
Consent
flow
Data flow
Source
Data using
Service
End-user
account
Minunterveyteni.fi
Alusta
W2E
Elisa
etämittaus
Taltioni
Uoma
App
Duodecim
STAR
eOmahoito
Omakanta
Effica
Polar, etc.
iOS
Health
App
Consent
Manager
23. MyData-consent management model in Finland
National- EHR-
Kanta
Minunterveyteni.fi
Local
PTJ
Omakanta + PHR
Self
managemnt
services
Elisa
Home
monitoring
Biobanks, Genome center,
data sinks, and analytics
Third sector,
private sector
Polar, etc.
MyData
Operator
MyHealth on-line services
...
Consent
flow
Data flow
Source
Data using
Service
End-user
account
Consent
Manager
Public sector
25. COLLECTION
DATA
PREPARATION
ANALYTICS
VISUALISATION
DATA
INTEGRATION
Midas
Secure Interoperable
Data Architecture
Pla orm
Geographically Diverse
Heterogeneous Data-Sets
Ci zen Focused Effec ve Informed
Policy Development
Within Regions, Member States
and Across Member States –
Health Policy as well as Integrated
Policy Development e.g. Social
Housing
COLLECTION
DATA
INTEGRATION ANALYTICS
DATA
PREPARATION VISUALISATION Midas
Secure Interoperable
Data Architecture
Platform
Member State Policy
Makers & Citizens
Member State Policy
Makers & Citizens