SmartHealth Ecosystem Event 12.6.2019, Matti Ristimäki presentation on Healthcare bigdata - accelerating algorithm development for personalized medicine

1. Matti Ristimäki
Vice President, Data-driven business
Healthcare bigdata
accelerating algorithm
development for
personalized medicine
From reactive organizations to
preventive and individually
centric ones
@mattiristimaki

2. TIME-TO-DATA
@mattiristimaki

3. Data-driven
organisation
Traditional
organisation
ICT ICT ICT ICT
Data Platform
= Healthcare service= Patient
@mattiristimaki

4. DATA
CHALLENGE
@mattiristimaki

5. Data scattered in
various systems
Unstructured
text data
Confidential
privacy data
Data bias –
only data
from sick people
Lack of efficient data models
@mattiristimaki

6. BIG DATA
PLATFORM FOR
HEALTHCARE
@mattiristimaki

7. Helsinki University Hospital
University of Helsinki
Engaged citizens
Virtual hospital
Partners:
CleverHealth Network
Pharma Companies
Quality registers
National registries
HR
Research databases
Patient journals (EMR)
Financials / Cost per patient
Radiology
Genome
Acute care monitors / Medical devices
Service usage
Laboratory
Pathology
Imaging
Personal wellbeing gadgets
CASE HELSINKI UNIVERSITY HOSPITAL DATA PLATFORM
Time to data
Data platform
Biobank
@mattiristimaki

8. Clinical-analytics
Advance AI
development
University’s
research
Partner’s
product
development
AGILE
AI DEV
Research
sandbox
Research
Sandbox
Research
Sandbox
Cancer
center
side
platform
Biobank
Side
platform
X
Side
platform
AI applications
Processes
Data
in
HUS DATA
PLATFORM
HUS data team
Tieto platform
team
@mattiristimaki

9. RESEARCH AND ANALYTICS SUPPORT OPERATIVE AND CLINICAL EXCELLENCE
SELF-SERVICE ANALYTICS AND DATA APPLICATIONS
@mattiristimaki

10. EXAMPLES
@mattiristimaki

11. Optimaalisuus
ECARE FOR ME – NEXT GENERATION ALGORITHM
RESEARCH FOR SPECIAL CARE
@mattiristimaki

12. In Finland 6000 different rare diseases
~6% citizens, ~18% of special care cost
Waste of resources is significant
Lähde: HUS Harvinaisten sairauksien toimintayksikön vuosikertomus
Cost
80% of
time
20% of
cost
80% of
cost
20% of
time
Time
EXAMPLE 1: RARE DISEASES
@mattiristimaki

13. EXAMPLE 2: ACUTE LEUKEMIA
@mattiristimaki
Treatment is highly toxic;
treatment-related mortality
(TRM) is 10-30%
< 50% of patients benefit
from therapy, all are
exposed to toxicity and
TRM
Millions of data points
per patient available

14. @mattiristimaki