Objective
There are three main reasons for an immediate innovation action to apply big data technologies in Healthcare. Firstly, a Healthy nation is a Wealthy nation! An improvement in health leads to economic growth through long-term gains in human and physical capital, which ultimately raises productivity and per capita GDP. Secondly, Healthcare is one of the most expensive sectors, which accounts for 10% of the EU’s GDP continuously becoming more expensive. Thirdly, as healthcare is traditionally very conservative with adopting ICT, while big healthcare data is becoming available, the expected impact of applying big data technologies in Healthcare is enormous.
BigMedilytics will transform Europe’s Healthcare sector by using state-of-the-art Big Data technologies to achieve breakthrough productivity in the sector by reducing cost, improving patient outcomes and delivering better access to healthcare facilities simultaneously, covering the entire Healthcare Continuum – from Prevention to Diagnosis, Treatment and Home Care throughout Europe.
BigMedilytics produces:
• A Big Data Healthcare Analytics Blueprint (defining platforms and components), which enables data integration and innovation spanning all the key players across the Healthcare Data Value Chains
• Instantiations of the Blueprint which implement BigMedilytics concepts across 12 large-scale pilots accounting for an estimated 86% of deaths and 77% of the disease burden in Europe
• The Best “Big Data technology and Healthcare policy” Practices related to big data technologies, new business models and European and national healthcare data policies and regulations.
BigMedilytics will maximize the impact by using its Big Data Healthcare Analytics Blueprint and the Best Practices to scale-up the concepts demonstrated in the 12 pilots, to the whole Healthcare sector in Europe. It will use health records of more than 11 million patients across 8 countries and data from other sectors such as insurance and public sector.
Fields of science
Not validated
Not validated
- social sciencessociologygovernance
- natural sciencescomputer and information sciencesdata sciencebig data
- social scienceseconomics and businessbusiness and managementbusiness models
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- medical and health scienceshealth scienceshealth care services
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
5656 AG Eindhoven
Netherlands
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Participants (35)
46010 Valencia
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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.
46010 Valencia
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46022 Valencia
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3015 GD Rotterdam
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3707 NH Zeist
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75008 Paris
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20095 Hamburg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28037 Madrid
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2595 DA Den Haag
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5612 AE Eindhoven
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1050 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
40549 Dusseldorf
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2 Dublin
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104 22 Stockholm
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14482 Potsdam
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15341 Agia Paraskevi
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15233 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
30167 Hannover
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28040 Madrid
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28046 MADRID
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1090 Wien
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49527 Petach Tikva
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75231 Paris
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02150 Espoo
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67663 Kaiserslautern
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10117 Berlin
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14467 Postdam
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45147 Essen
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SO17 1BJ Southampton
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BH8 8EW BOURNEMOUTH DORSET
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
CB2 0AA Cambridge
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1091 AC Amsterdam
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5022 GC Tilburg
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3062 PA Rotterdam
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18000 Nis
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.