The increased reliance of health systems on the digital record as the primary mechanism for storing data on consultations and other health interactions has opened new opportunities for research, healthcare innovation, and health policy. The electronic health record (eHR) is now ubiquitous in many countries, in hospital and primary care settings, and in some countries their health systems in terms of reporting patient care activity are essentially ‘paperless’.

Health systems globally are also facing accelerating challenges as they seek to deliver better value healthcare against the background of increasing levels of chronic disease, ageing populations, financial pressures and demands on public spending. Digital health tools and services are held up to be part of the solution to these challenges, potentially offering low-cost and patient-centred solutions.

There has been huge investment in Big Data research in health, particularly in relation to digitised imaging and automated reporting and predictive modelling using phenotypic and increasingly genetic data. There have also been similar gains in more applied research that explores the potential of accessing the huge quantum of data held in the eHR, and linkage of these data to other national or regional databases, such as mortality records or cancer data. This session will explore some of the applications for routine data research, illustrated by projects that have resulted in research success and better healthcare.

This will include the exemplars of using large eHR platforms and prescribing data platforms to create infrastructure for i) common disease surveillance, such as the UK RCGP RSC; ii) generation and validation of disease risk assessment tools, such as QRisk scores; iii) pragmatic electronic follow up trials; iv) within practice systems dashboard feedback reports, eg data normalised to regional and national rates on prescribing and investigation physician activity; v) traditional epidemiological linkage studies; and vi) linkage to long term phenotypic follow up of established disease cohorts.