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Big Data &
Health in H2020
Enrique Bernal-Delgado MD, PhDHealth Services and Policy Research Unit
ebernal.iacs@aragon.es
BIG DATA
BIG DATA & HEALTH
BIG DATA & HEALTH IN H2020
PRECISION MEDICINE (PERSONALIZED MEDICINE)◦ (…) an emerging approach for disease treatment and
prevention that takes into account individual variability ingenes, environment, and lifestyle for each person.
PRECISION HEALTH CARE◦ (...) and a systemic context represented by the specific
features of the health care system where populations andpatients are treated.
REAL WORLD DATA◦ In opposition to primary data collected in the context of
primary research , information retrieved in real life.
BIG DATA ...
DATA MOTION
DATA SCIENCE
DATA MINING
ARTIFICIAL INTELLIGENCE
McKinsey 2016
EGI [https://www.egi.eu/]- network of IT centres that provide high level IT services provider - hardware, transfer & storage and BD analytics
PRACE [http://www.prace-ri.eu/]- advanced computing services -massive simulation
EUDAT [https://eudat.eu/]- network of computing and research centres -storage workflows, processing, archive
BBMRI [http://www.bbmri-eric.eu/]- network of biobanks – any human specimens - most of services supposed to be provided in the area of biobanks
ELIXIR [https://www.elixir-europe.org/]- any service on omics
ECRIN [http://www.ecrin.org/]- clinical trials non industry funded -(comparative effectiveness studies of any kind, as well) services on studies design, analysis, legal and ethical aspects
CORBEL [http://www.corbel-project.eu/home.html] brand-new project where they are looking for exchanging services across some of the previous initiatives
EATRIS [https://eatris.eu/] fast-track solutions for translational research
EU OPENSCREEN [http://www.eu-openscreen.eu/] chemical resources and services to be used in medical sciences
EHR / MHR Personalized medicine in
health care context
Fighting antimicrobial
resistance
Decoding the role of the
environment
Digital potential for
health and health care
innovation
Data-driven policies
M Health
Genomic/
Proteomic
Social networks
IoT / IoP
Environmental data
Socioeconomic data
Addressing the needs of
those most vulnerable –
fragile and multimorbid
patients
Trusted digital solutions
and cybersecurity
… WHEN PREPARING THE PROPOSAL
M Health
Genomic/
Proteomic
Social
networks
IoT /
IoP
Environmental data
Socioeconomic data
Providing high-value out of big data for personalized health care would require:
High-level high-quality mixed-methods designs
Look at real life care pathways
Analyse their complexity –data mining is not enough
Think of high-speed processing
Think of rapid-cycle reporting
Think of timely actionable feedback to end users
When building the consortium
Multidisciplinary scientific capacities
Data motion services and appropriate hard & soft
Legal and administrative barriers to access data
Engaging/Joining existing initiatives
Joining upcoming CSA
…and
Big Data &
Health in H2020
Enrique Bernal-Delgado MD, PhDHealth Services and Policy Research Unit
ebernal.iacs@aragon.es
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