Predictive Medicine & Personal Engaging Healthcare, Health & Wellbeing Data Analytics Environment, Biodesign Finland - Innovating Medical Technologies in Interdisciplinary Teams
2. Healthcare Expenditure Challenge
Longer lives but bigger spending
MIT Technology Review: Business Report on “A Cure for Healthcare Costs“ (2014)
74
75
76
77
78
79
80
81
82
83 years
73
$1,500 $2,500 $3,500 $4,500 $5,500
TUR
HUN
SVK
MEX
POL
CZE
KOR
ISR
GRC
NXL
ITA
JPN
GBR
BEL
AUS
IRL
CHE
FRA
DEL
CAN
NLD
SWE
Life expectancy vs. per person health spending, OECD nations
Healthcare
spending linked to
longer lives
FIN
USAUSA
20%
1960 1970 1980 1990 2000 2010
Expenditures on healthcare as a percentage of GDP
4%
8%
12%
16%
0%
USA
Other high-income countries
2020 2030 2040
Big spending
in Healthcare
40%
24%
28%
32%
36% Need
multidisciplinary
Research &
Technology &
Innovations to
further improve
Healthcare and
save Costs?
FIN
3. Digitalisation & ICT make technology Data-driven
transforming Society and its Services
Digitalisation
Data-driven Services
Cyber Security
Media &
Entertainment &
Games
ICT
Cloud Computing
Data Analytics
Internet of Things
Built
Environment &
Smart Cities
Service Economy &
Trade & Commerce
Arts &
Humanities &
Public Institutions
Energy &
Traffic &
Transportation
Healthcare &
Wellbeing
Societal &
Social Services
Process &
Manufacturing Industry
Public SectorPrivate Sector
ICT in Aalto:
> 80 profs & groups
CS: 45 profs & 400 staff
produce ⅓ Finland’s MSc
Cover ICT areas
Aalto Digi Platform
Fostering digitalisation
cooperation in Aalto and
with industrial and
academic partners
CS Spearheads
• Data science
• Internet of Things (IOT)
• Data repository & HPC
• Digital Health
• Security & privacy
• Software
4. Finland – Test-bed for Data-driven Services
Countries with biobanks
Universal healthcare
Unique national identification number
Genetically isolated population
Recalling made easy
(biobank act + national identification number)
5. Finland – Test-bed for Data-driven Services
Countries with biobanks
Universal healthcare
Unique national identification number
Genetically isolated population
Recalling made easy
(biobank act + national identification number)
6. Finland – Test-bed for Data-driven Services
Countries with biobanks
Universal healthcare
Unique national identification number
Genetically isolated population
Recalling made easy
(biobank act + national identification number)
7. Finland – Test-bed for Data-driven Services
Countries with biobanks
Universal healthcare
Unique national identification number
Genetically isolated population
Recalling made easy
(biobank act + national identification number)
8. Finland – Test-bed for Data-driven Services
Countries with biobanks
Universal healthcare
Unique national identification number
Genetically isolated population
Recalling made easy
(biobank act + national identification number)
9. Helsinki area – offers a unique environment for
Health & Wellbeing Technology and Innovation Ecosystem
Harvard
MGH
MIT
Greater Boston area
High-Tech industry
UH
HUS
AALTO
Greater Helsinki area
Health Technology
(FIHTA)
Need to
join
expertise to
tackle the
healthcare
challenge
10. Helsinki Health Capital
cluster & Data-driven
Healthcare - initiative
Consortium:
Aalto University: Kimmo Kaski, Juho Rousu, Risto Ilmoniemi, Markus Mäkelä; University
of Helsinki: Tomi Mäkelä, Risto Renkonen; Hospital District of Helsinki and Uusimaa
(HUS): Ari Lindqvist, Mikko Rotonen; Finnish Health Technology Association (FIHTA):
Tom Ståhlberg; Helsinki Metropolia University of Applied Science: Tero Nurminen;
Health Capital Helsinki: Tuula Palmen
Funding:
Technology Industries of Finland Centennial Foundation, 6/2015 – 12/2016
11. Health Capital cluster & Data-driven Healthcare
initiative
Health Capital Cluster Data-driven Healthcare
Data-collection and
management technologies
Research and Development Focus Areas
Platform for health &
wellbeing research,
technology and innovation
at Meilahti Medical Campus
Development of data-
analytics environment for
personalised medicine and
engaging healthcare
Development of wireless
sensor-based health &
wellbeing data-collection and
management methodologies
12. Data-Driven Healthcare Ecosystem
build-up in greater Helsinki area*
Consortium for Data-Driven Healthcare Ecosystem build-up is enlarging: Nokia/Digital Health labs; BC Platforms;
Medixine; BCB Medical; Noona Healthcare; FMI - Ilmatieteenlaitos; CSC – Tieteen Tietotekniikan keskus; Väestöliitto, …
Data Collection Infrastructure Data Repository
Helsinki Metropolia University of
Applied Sciences
Aalto University
Data Analytics
Predictive Modelling
Digital Health Technologies
Tech-firms & The Finnish Health
Technology Association (FIHTA)
Life Science
University of Helsinki
The Hospital District of Helsinki and Uusimaa
Medical expertise
Data-Driven
Healthcare
Technologies
*Technology Industry’s Centennial Foundation: ”Health Capital & Data-Driven Healthcare Consortium”
13. Health & Wellbeing Data Analytics Environment
for Predictive Medicine & Personal Engaging Healthcare
See also: MIT Technology Review: Business Report on “Data-Driven Healthcare“ (2014)
14. Health & Wellbeing Data Analytics Environment
Health &
Wellbeing
Analytics
Environment
Wellbeing
knowledge and
data (Family
Federation of
Finland)
Clinical
expertise and
Data (HUS)
Biomedical
knowledge &
Biobanks
(UH & HUS)
Environmental
& Air Quality
expertise and
Data (FMI)
Big Data
Analytics
(Aalto)
High-
performance
and Cloud
computing
(CSC)
Sensors &
Internet of
Things (Aalto)
Researchers Individuals
Medical Decision Support
15. Data-Driven Decision Support for Digital Health
(D4Health)
• Funding by AoF ICT2023 progamme
(1.1.2016-31.12.2017)
• Volume: 1.3Meur, ca. 12 person years.
• Consortium of 5 units
‒ Aalto/CS (J. Rousu, coordinator)
‒ Aalto/HIIT (S. Kaski)
‒ Aalto/EEA (S. Särkkä)
‒ UH/HIIT (G. Jacucci)
‒ FIMM (T. Aittokallio)
• Collaboration: HUS, BC Platforms, Duodecim
16. Data-Driven Decision Support for Digital for Digital
Health (D4Health)
• Analytics methods development
• User Interfaces for Analytics and Exploratory Search
• Integration of multiple data sources
• Network pharmacology modelling
• Patient monitoring
• Case studies (with HUS):
• Chronic Obstructive Pulmonary Disease (COPD)
• Acute Myeloid Leukemia
• Neonatal intensive care
17. Biodesign Finland - Innovating Medical Technologies in
Interdisciplinary Teams
Identify
Clinical
immersion
Invent
Concept
creation,
prototyping
Implement
Development
strategy
Team
Formation
Med Tech
Innovations,
Startups &
Industry
Leaders
Biodesign is a systematic process to
invent new technologies to improve medical practice.
AALTO: Risto Ilmoniemi, Paavo Kinnunen ja Jaakko Nieminen
HU: Risto Renkonen
HUS: Visa Honkanen
AALTO VENTURE PROGRAM: Olli Vuola
18. Health Technology growth in Finland
growth rate high, startups & trading balance boom!
2014
• Exports: 1.8 billion €
• Growth from 2013: 8.3%
• Surplus: 829 million €
• Growth from 2013: 10.7%
+ Wellbeing technology
Companies: 400
Revenue: 4 billion €
Personnel: 10 000
+ Startup boom
By courtesy of FIHTA
200
400
600
800
1200
1400
1600
0
1996
1000
Finnish Health & Wellbeing technology trade, 1996-2014
1800
EUR million
-98 2000 -02 -04 -06 -08 -10 -12 -14
Export
Trading balance
Import
Editor's Notes
Countries with Biobank:
Europe: Austria, Belgium, Bulgaria, Czech Republic, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Ireland, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Spain, Sweden, Switzerland, UK
Asia: China, India, Japan, Korea, Malesia, Singapore, Taiwan, Thailand
Afrikka: Gambia, Uganda, South-Africa,
Middle east: Iran, Israel, Jordan, Kuwait, Qatar, UAE
Others: Australia, Canada, USA, New Zealand, Russia
Latin America: LACTumorbank Network (governmental cancer institutions): Argentina, Brasil, Chile, Columbia, Cuba, Equador, Mexico, Panama, Peru, Uruguay, Venezuela
Biopankki on lääketieteellinen kokoelma, joka sisältää DNA:ta, verta tai muita näytteitä ihmisen elimistöstä sekä lisäksi tietoja kunkin näytteenantajan terveydestä ja elintavoista. (Tiede 3/2006: Biopankin kynnyksellä (s.17)
Biobanks can be established within academic medical or research institutions, pharmaceutical/biotechnology companies or as stand-alone organizations.
Types of Biobanks: Population based biobanks for genetic research and clinical/disease-orientated biobanks that collect biological samples from patients, aiming at discovery and validation of genetic and
non-genetic risk factors of diseases.
Sources:
http://specimencentral.com/biobank-directory/
http://bbmri-eric.eu/memberstates
http://www.nature.com/gim/journal/v9/n3/full/gim200726a.html
http://www.esbb.org/biobanks.html
http://ftp.jrc.es/EURdoc/JRC57831.pdf
About Biobanks: https://www.google.fi/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwiTt_3OnLjJAhUK2SwKHffLDsAQFggfMAA&url=http%3A%2F%2Fwww.springer.com%2Fcda%2Fcontent%2Fdocument%2Fcda_downloaddocument%2F9789401795722-c2.pdf%3FSGWID%3D0-0-45-1493350-p177035425&usg=AFQjCNE0teYnvHY6qgVa4WpreuUbHXtzfA
LATINALAINEN AMERIKKA:
LACTumorBank Network: governmental cancer institutions: Kolumbia, Kuuba, Mexiko, Peru, Equador, Argentiina, Uruguay, Chile, Panama, Venezuela, Brasilia
http://bvsms.saude.gov.br/bvs/publicacoes/inca/Claudio_Gustavo_Stenaff_Latin_America_and_Caribbean.pdf
MALTA
http://www.um.edu.mt/biobank
UUSI-SEELANTI
http://ir.canterbury.ac.nz/handle/10092/2594
https://www.fmhs.auckland.ac.nz/en/faculty/cbr/our-centre/biobank.html
AFRIKKA: Uganda, Cape Town
http://www.b3africa.org
Countries with Biobank + Universal Healthcare
Europe: Austria, Belgium, Czech Republic, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Ireland, Luxembourg, Netherlands, Norway, Portugal, Romania, Slovakia, Spain, Sweden, Switzerland, UK
Asia: Japan, South Korea, Singapore, Taiwan, Thailand
Middle east: Israel, Kuwait, UAE
Others: Australia, Canada, New Zealand
Latin America: LACTumorbank Network (governmental cancer institutions): Argentina, Chile, Cuba, Panama, Venezuela
Source: 58 countries with universal health care in 2009, according to Stuckler, et al.[1]
Stuckler, David; Feigl, Andrea B.; Basu, Sanjay; McKee, Martin (November 2010). "The political economy of universal health coverage. Background paper for the First Global Symposium on Health Systems Research, 16–19 November 2010, Montreaux, Switzerland" (PDF). Pacific Health Summit. Seattle: National Bureau of Asian Research. p. 16. “Figure 2. Global Prevalence of Universal Health Care in 2009; 58 countries: Andorra, Antigua, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Bosnia and Herzegovina, Botswana, Brunei Darussalam, Bulgaria, Canada, Chile, Costa Rica, Croatia, Cuba, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Kuwait, Luxembourg, Moldova, Mongolia, Netherlands, New Zealand, Norway, Oman, Panama, Portugal, Romania, Singapore, Slovakia, Slovenia, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Tunisia, UAE, Ukraine, United Kingdom, Venezuela.”
Lähde: http://www.theatlantic.com/international/archive/2012/06/heres-a-map-of-the-countries-that-provide-universal-health-care-americas-still-not-on-it/259153/
https://en.wikipedia.org/wiki/Universal_health_care
https://en.wikipedia.org/wiki/Universal_health_care#/media/File:Universal_health_care.svg
Countries with Biobank + Universal healthcare + National Identification Number
Europe: Austria, Belgium, Denmark, Estonia, Finland, France, Iceland, Netherlands, Norway, Sweden, Switzerland, UK
Latin America: LACTumorbank Network (governmental cancer institutions): Chile
Unique national identification number: selitetään auki missä maissa on vastaavanlaiset henkilötunnukset käytössä, kuin Suomessa + miksi unique: koodaus.
Suomalaisen henkilötunnuksen algoritmin kehitti Erkki Pale, joka toimi toisessa maailmansodassa salakieliasiantuntijana.
Henkilötunnus mahdollistaa ihmisten seuraamisen, rekisteritietojen yhdistämisen laajojen tietoaineistojen muodostuminen (mm. Potilastiedot voidaan linkata näytteeseen digitaalinen fenotyyppaus
Eroavaisuus maiden kesken: henkilötunnuksen perusrakenne.
vastaava tunnus kuin Suomessa otettiin käyttöön muissakin Pohjoismaissa, vieläpä samoihin aikoihin.
Henkilötunnuksen perusrakenne on kaikissa Pohjoismaissa samanlainen, vaikkakin yksityiskohdissa on poikkeavuuksia.
Ihmisten numerointi tällä tavoin oli siis suosittu ajatus.
Source: https://fi.wikipedia.org/wiki/Henkilötunnus
Muualla vastaavanlaista henkilötunnusta käytetään muun muassa Ruotsissa (personnummer), Norjassa (fødselsnummer), Tanskassa (personnummer tai CPR-nummer), Islannissa (kennitala), Virossa (isikukood), Alankomaissa (burgerservicenummer), Belgiassa (rijksregisternummer), Ranskassa (code INSEE), Itävallassa (Sozialversicherungsnummer), Sveitsissä (AHV-Nummer), Liettuassa (asmens kodas) ja Chilessä (Rol Único Nacional tai RUN).
Yhdysvalloissa on samankaltainen järjestelmä (social security number, SSN), vaikka sitä ei alun perin luotukaan samanlaiseen tarkoitukseen. SSN:ia ei anneta ihmiselle jo syntymästä, joten on mahdollista elää Yhdysvalloissa ilman sellaista, joskin sen puute vaikeuttaa käytännön asioiden hoitamista.
Suomalaisen henkilötunnuksen koodauksen avaus:
http://www.tuomas.salste.net/doc/hetu/tunnus.html
Taustaa suomalaisesta henkilötunnuksesta:
Henkilötunnus on nykyisin kaikilla suomalaisilla. Suomalainen henkilötunnus on 11-merkkinen merkkijono. Se sisältää henkilön syntymäpäivän, yksilönumeron ja tarkistusmerkin. Lisäksi tunnuksesta käy ilmi sukupuoli. Tunnus on tarkoitettu henkilöiden erotteluun tietojärjestelmissä siten, että oikeat tiedot kohdistuvat oikeaan henkilöön.
pp = syntymäpäivä (01..31)
kk = syntymäkuukausi (01..12)
vv = syntymävuosi (00..99)
välimerkki ilmoittaa syntymävuosisadan: + = 1800, - = 1900, A = 2000-luku
nnn = yksilönumero, naisilla parillinen, miehillä pariton (002..899)
t = tarkistusmerkki
Henkilötunnus alkaa syntymäpäivällä. Se ilmoitetaan 6-numeroisella luvulla.
Syntymäpäivän ja henkilötunnuksen loppuosan välissä on välimerkki. Siitä näkee syntymävuosisadan. Välimerkki on 1800-luvulla syntyneillä plusmerkki (+), 1900-luvulla syntyneillä yhdysmerkki (-) ja 2000-luvulla syntyneillä A-kirjain.
Henkilötunnuksen loppuosan kolme ensimmäistä merkkiä ovat yksilönumero. Sen avulla erotellaan toisistaan ihmiset, joilla on sama syntymäpäivä.
Yksilönumeron viimeinen numero kertoo sukupuolen. Miehillä numero on pariton, naisilla parillinen. Miehillä henkilötunnuksen loppuosa on siis jokin seuraavista: xx1x, xx3x, xx5x, xx7x tai xx9x. Naisilla loppuosa on vastaavasti xx0x, xx2x, xx4x, xx6x tai xx8x.
4) Henkilötunnuksen viimeinen merkki on tarkistusmerkki. Merkillä varmistetaan, että tunnuksessa olevat numerot ovat oikeat.Tarkistusmerkkin laskukaava: Henkilötunnuksesta otetaan välimerkki pois. Tunnuksen 9 ensimmäistä merkkiä tulkitaan 9-numeroiseksi luvuksi, joka jaetaan luvulla 31. Jakojäännös muutetaan tarkistusmerkiksi henkilötunnuksen tarkistusmerkkitaulukon avulla.
Countries with Biobank + Universal healthcare + national identification number + genetically isolated population
Eurooppa: Finland, Iceland
Source: http://hmg.oxfordjournals.org/content/11/20/2507.full
The struggle to identify susceptibility genes for complex disorders has stimulated geneticists to develop new approaches. One approach that has gained considerable interest is to focus on genetically isolated populations rather than on the general population.
In general, the statistical power to detect a real association or linkage is limited by the background noise in the population under study. This noise consists of all possible combinations of environmental and genetic factors present in the population. Therefore, in heterogeneous populations, large sample sizes would be needed to obtain sufficient statistical power to detect genetic risk factors. More homogeneous populations such as genetically isolated populations have been proposed as a possible alternative for these large sample sizes, because environmental variation might be lower and the genetic make-up of these populations is expected to be less complex owing to founder effects, thus improving the signal-to-noise ratio. The use of genetically isolated populations is not new; for example, in Finland, there are numerous examples of Mendelian disorders with increased prevalence (29). This has been especially valuable for mapping rare recessive disorders. but many researchers believe this could be a solution for more complex disorders as well because of the relatively uniform genetic background of the population. Some culturally and genetically isolated populations have a more similar way of living, eating habits and natural environment that reduces environmental variation. Often these populations have been founded by a small number of individuals, followed by a period of genetic isolation, during which genetic drift might have been seen and population expansion mainly occurred by population growth and not by immigration. In addition, if genealogical records are available, the kinship coefficient of patients can be determined, which is often higher than in heterogeneous populations. In countries from Scandinavia, for example, state healthcare registries have been maintained over centuries