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Mitä on tekeillä, nyt ja tulevaisuudessa?
1. Mitä on tekeillä, nyt ja
tulevaisuudessa?
What is happening,
now and in the
future?
Mark van Gils
Research Professor VTT
mark.vangils@vtt.fi
23/05/2019 VTT – beyond the obvious 1
2. What we will
look at today
The Big Picture
What is happening now?
In the future?
@mark_van_gils
3. Issues
• Aging population, chronic
diseases, multimorbidities
• Strain on healthcare
resources
• Over 20 Billion euros in
Finland, and increasing
@mark_van_gils
5. Ecosystems
System integrators and suppliers
WELLBEING
Insurance companies
Kanta
OmaKanta
HEALTHCARE
Data
Pharma
Data
lakes
Register
data
Genome
data
eResepti
Bio
samples
Data
EHR
EHR
Data
Data
Data
Wellbeing Service
providers
Non-medical
equipment
manufacturers
Healthcare service
providers
Hospitals
Research Inst
Medical equipment
manufacturers
Data
7. •Increasing cost of
healthcare
•Aging
•Chronic diseases
•Obesity
•Depression
•New clinical procedures
•ICT technologies
Preventive health
support
Healthcare process
optimization
Personalised care
•Artificial intelligence
•Big Data
•Biosensors and devices
•Wearables
Predictive health
management
services
Disease risk
assessment
Point-of-
care
diagnostics
Intervention
Planning
Virtual
hospitals
Decision support for
professionals and
policy makers
Lean
healthcare
processes
Evidence-based
cost-effectiveness
assessment
Technologies
for behaviour
change
Personalized
nutrition
Decision support
systems for
citizens
Self-diagnostics
and home
monitoring
•Internet of medical
things
•5G technologies
•Molecular biology
•Biobanks and repositories
•Medical technologies
ENABLERSDRIVERSPATHWAYS
8. We reduce the risk of premature
mortality from lifestyle diseases
23/05/2019 VTT – beyond the obvious 8
MEASUREMENTS SMART ANALYSIS MOTIVATION
9. We ensure continued quality of care at
manageable costs
POINT-OF-CARE
DIAGNOSTICS
23/05/2019 VTT – beyond the obvious 9
ANALYTICS FOR
PRECISION MEDICINE
IMPACT ASSESSMENT
AND PROCESS
OPTIMISATION
10. Decision Support for Complex Diseases
Help professionals to extract knowledge from data: earlier, evidence-
based decision making
Explainable AI and machine learning approaches, of highly diverse data
Brain diseases (dementias, stress, stroke, brain injury), cardiac diseases,
cancers
Example Projects: www.predictnd.eu, www.vph-dare.eu, www.tbicare.eu www.centre-tbi.eu
11. Stop Diabetes (StopDia) - From Knowledge to Solutions
Science integrated in the health system
We need to…
- target all three levels
- create personalized approach
- be cost-efficient
Nudging!
12. Data-driven precision medicine
opportunity (PreMed)
12
Pharma & diagnostics
Food and nutrition
Data
exploitation
National
registers
Patient records
Social services
customer data
Personal health
services
Research
registers
Population
surveys
Biobank
resources
Healthcare
image: iStock
Personal devices
image: iStock
6.2.2019 VTT – beyond the obvious
Fazer
14. Informed society public health decisions
The impacts of health-related policy decisions in
society are difficult to predict and require
complex modelling of the entire system
(society).
Improve health and social wellbeing related
decision making on individual, organizational,
and societal levels via systematic and intensive
use of data.
Data analysis to help in planning the optimal
population-level strategies e.g. for disease
screening and other public health
campaigns.
16. In some areas the tech developments are very fast
@EricTopol, Aug 2018@mark_van_gils
@erictopol
End 2018 – early 2019
17. Other Trends
VTT 2018 17
• Loneliness, communities and
participation
• Meaningfulness, in addition to
health related Quality of Life
• ’forever young’ business
19. Strengths with which we can create
actual impact
Fellowship: Interdisciplinary partnerships and competences
Data: High-quality registries
Infrastructure: Technologies,
legislation and data-access
23/05/2019 VTT – beyond the obvious 19