Nottingham University Business School

Centre for Health innovation, Leadership and Learning (CHILL)

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

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.

Project aims

The aim of the project is to elaborate a theoretical framework for critically analysing social, technical and ethical challenges from big medical data analytics.

Project highlights

The project’s aims will be achieved by:

  • mapping the data protection controversy of the initiative in England.
  • qualitatively studying organisations that perform big data analytics in healthcare as well as GPs and citizens who decide to opt out from big medical databases.

Project team

PI: Dr Paraskevas Vezyridis

Funder: European Commission – Horizon2020 (MSCA-IF-2014-EF)

Email for more information

Outputs and links

BIMEDA research project website




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