Objetivo 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. Ámbito científico social sciencessociologygovernancenatural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesdata sciencebig datasocial sciencespolitical sciencespublic administrationbureaucracysocial sciencessociologyanthropologyscience and technology studies Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Convocatoria de propuestas H2020-MSCA-IF-2014 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF-EF-ST - Standard EF Coordinador THE UNIVERSITY OF NOTTINGHAM Aportación neta de la UEn € 195 454,80 Dirección University Park NG7 2RD Nottingham Reino Unido Ver en el mapa Región East Midlands (England) Derbyshire and Nottinghamshire Nottingham Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 195 454,80