Health Data & Innovation Ecosystem in Life Sciences: Future Steps on a National Level, Antti Kivelä, Director, Sitra at GetPersonalized! summit in Helsinki

1. Health Data & Innovation
Ecosystem in Life Sciences:
Future Steps on a National Level
Antti Kivelä
Director, Sitra

2. McGinnis, et al., Health Affairs; 21(2), 2002
Health Care
Environmental
& social factors
Genetics
Behaviour &
lifestyle
Several Factors
Combine Together
to Affect Our
Health
Sitra • Antti Kivelä • 25.5.2015
2

3. Other data
sources, e.g.
environmental
data
3Sitra • Antti Kivelä • 25.5.2015
The Potential of
Big Data in
Health Care:
Towards improved value
and preventive care
EHR
Research
data
PHR, incl
behavioral
data
Genomic
data
Better health
outcomes &
more personalized
care

4. 4Sitra • Antti Kivelä • 25.5.2015
More info in Finnish:
http://www.slideshare.net/SitraHyvin
vointi/8-omahoitokokeilua-terveyden-
tulevaisuudesta
The Concept of
Virtual Clinic

5. National
Genome
Strategy
Sitra • Antti Kivelä • 25.5.2015 5

6. 6
• The value of health and well-being information utilization consists of 4 phases:
Structure of Health and Well-being Information Value Chain
Data Creation
“My Kanta” / personal
online service for
medical details
EHR database
Bio-
banks
Integrated
and
analysed
data
Standard interfaces
Customized interfaces
Ecosystem and Partner Network
• Public
Research
Institutes
• Private
Research
Institutes
• Pharmaceutical
Industry
• Healthcare
Information Enrichment and Increased Customer Value
Revenue Stream
Utilization of Information
KanTa
Genome
-database
Other data sources
Value Added Services
Data
anonymization
Individual
Benefit
1 3
4
Data Gathering and Refining
2
Individual
• Individual
Analytic services
End-user applications
Services containing anonymized data
And so on.
Audit Trail and Securing Information Reliability
• National Centres
of Expertise
4
National
Operator for
Health and
Well-being
Information
Sitra • Antti Kivelä • 25.5.2015

7. 7
National service operator is responsible for gathering big bata
on health and well-being information while ensuring the
reliability of the data
The Role of a
National Data
Operator in the
Value Chain
Data Integration Support ServicesData Structuring
National Operator
• Co-operation with data
owners in order to enable
data transfer from
administrative and technical
perspective
• Continuous data gathering
from different data sources
using appointed interfaces
and methods
• Integration of gathered data
• Integrating audit trail into
data content
• Data structuring
• Ensuring data quality
• Creating integrated data
structure
• Creating technical
architecture for providing
services
• Enabling the utilization of
Big Data and it’s datasets
• Defining, documenting and
providing basic services
e.g. standard interfaces
together with the
ecosystem
• “Made to order”
customized interfaces
• Data anonymization
depending on usage
purpose
• Guidance and support on
utilization of basic servicesSitra • Antti Kivelä • 25.5.2015