Objective
The MIDAS consortium is a partnership involving health authorities in five EU countries and the U.S. and technical big data experts from research institutions, MNCs and SMEs. Managing big data for ‘health in all’ is a monumental challenge for policy makers. MIDAS is addressing this challenge by developing and delivering an integrated solution which will liberate knowledge from data silos and unify heterogeneous big data sources to provide evidence-based actionable information and transform the way care is provided.
Despite the urgent need and opportunity, the level of e-health deployment, to share medical data is very low. Indeed 52% of the hospitals do not share any medical information with external GPs electronically .
MIDAS will map, acquire, manage, model, process and exploit this heterogeneous health care, governmental and open data to provide an innovative world leading beyond state of the art solution which will inform risk stratification and long term policy-making decisions, demonstrating a positive impact across the EU and beyond.
MIDAS will:
• Provide a data mapping solution
• Use open, social media and citizen data for high level policy analysis
• Use technology to exploit the value of big data for actionable information
• Disseminate best practice on privacy by design, ethics and governance
• Make Europe a leader in e-health platforms
Policy makers, patients and citizens will be co-creators of the solutions, ensuring that these are user validated, feedback is integrated, results are actionable and knowledge created to show benefit across a range of epidemiology challenges. Major health challenges which will be addressed include: ageing population, obesity and mental health. Stakeholders will work together to make Europe a leader in e-health solutions, stimulating new opportunities for industry in this innovative field.
Fields of science
- medical and health scienceshealth scienceshealth care serviceseHealth
- social sciencessociologygovernance
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata mining
- medical and health scienceshealth sciencesnutritionobesity
Programme(s)
Funding Scheme
RIA - Research and Innovation action
Coordinator
BT52 1SA Coleraine
United Kingdom
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Participants (16)
9 Dublin
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3000 Leuven
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20009 Donostia San Sebastian
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90014 Oulu
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BT9 5DJ Belfast
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
BT2 8DQ Belfast
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LS2 7UE Leeds
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48902 Barakaldo
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
01010 Vitoria-gasteiz
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
01006 Vitoria-gasteiz
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02150 Espoo
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BT16 1RH Belfast
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Dublin 4 Ballsbridge
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85281 Tempe
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00271 Helsinki
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