Opendata, web and dolomites


Big Medical Data Use in Primary Care: an ethnographic, socio-technical, investigation of challenges and opportunities

Total Cost €


EC-Contrib. €






Project "BIMEDA" data sheet

The following table provides information about the project.


Organization address
address: University Park
postcode: NG7 2RD

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 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.

# participants  country  role  EC contrib. [€] 


 Project objective

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 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
List of publications.
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 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 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.

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