Explore the words cloud of the BIMEDA project. It provides you a very rough idea of what is the project "BIMEDA" about.
The following table provides information about the project.
Coordinator |
THE UNIVERSITY OF NOTTINGHAM
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://www.bimeda-project.eu |
Total cost | 195˙454 € |
EC max contribution | 195˙454 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2014 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2015 |
Duration (year-month-day) | from 2015-08-01 to 2017-08-31 |
Take a look of project's partnership.
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1 | THE UNIVERSITY OF NOTTINGHAM | UK (NOTTINGHAM) | coordinator | 195˙454.00 |
Big medical data analytics is a new and unique opportunity for national health systems to reduce costs and improve population health management. The processing of vast amounts of medical histories from electronic patient records can provide researchers, clinicians, policy makers and private health companies with invaluable insights into all aspects of health and illness. New treatments, medication regimens and medical technologies can then be developed based on more accurate cost/benefit analyses. Importantly, it constitutes national health systems engines of economic growth. The European Commission is actively promoting a ‘Digital Agenda for Europe’, where more ‘Open (Government) Data’ will support and accelerate the development of ‘A Thriving Data-Driven Economy’. However, the European Agency for Fundamental Rights is working to address social, legal and ethical implications from surveillance activities and data protection mishaps, particularly for personal health information. The aim of the BIMEDA project is to elaborate a theoretical framework for critically analysing social, technical and ethical challenges from big medical data analytics, through the mapping of the data protection controversy of the Care.data programme in England and the ethnographic study of an academic and a private organisation that collaborate to collect and analyse big primary care data analytics. It brings together a talented researcher with background in qualitative research of clinical information systems’ implementation and use from a Science and Technology Studies perspective to work with an internationally renowned host institution (University of Nottingham) in big primary care data analytics and, healthcare organisations and (Horizon) Digital Economy research in order to identify and clarify, for policy-makers and the public, possibilities, limitations, assumptions and biases in research, knowledge production and ethical conduct.
year | authors and title | journal | last update |
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2016 |
Paraskevas Vezyridis, Stephen Timmons Evolution of primary care databases in UK: a scientometric analysis of research output published pages: e012785, ISSN: 2044-6055, DOI: 10.1136/bmjopen-2016-012785 |
BMJ Open 6/10 | 2019-07-24 |
2017 |
Stephen Timmons, Paraskevas Vezyridis Market-driven production of biospecimens and the role of NHS hospital-led biobanks published pages: 1242-1257, ISSN: 0141-9889, DOI: 10.1111/1467-9566.12584 |
Sociology of Health & Illness 39/7 | 2019-07-24 |
2017 |
Paraskevas Vezyridis, Stephen Timmons Understanding the care.data conundrum: New information flows for economic growth published pages: 205395171668849, ISSN: 2053-9517, DOI: 10.1177/2053951716688490 |
Big Data & Society 4/1 | 2019-07-24 |
2016 |
Paraskevas Vezyridis, Stephen Timmons Dissenting from care.data: an analysis of opt-out forms published pages: 792-796, ISSN: 0306-6800, DOI: 10.1136/medethics-2016-103654 |
Journal of Medical Ethics 42/12 | 2019-07-24 |
2019 |
Paraskevas Vezyridis, Stephen Timmons Resisting big data exploitations in public healthcare: Free riding or distributive justice? published pages: , ISSN: 0141-9889, DOI: 10.1111/1467-9566.12969 |
Sociology of Health & Illness | 2019-09-05 |
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The information about "BIMEDA" are provided by the European Opendata Portal: CORDIS opendata.