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