AdvancingHealth Informatics Researchthrough cross-centrecollaboration
#datasaveslives at Farr Conference 2015
Delivering high-quality,multidisciplinaryresearch
Farr Conference 2015 Posters Exhibition
Protectingpatient confidentialitythrough a secureenvironment
Farr Conference 2015 Banner
Translating discoveriesinto clinical practiceand patient benefit
Collaborating Health Informatics Research throughout the UK

About the Farr Institute

Workers smiling at computer

The Farr Institute of Health Informatics Research comprises four nodes distributed across the UK and led from the University College London (Farr Institute @ London), University of Manchester (Farr Institute @ HeRC N8), Swansea University (Farr Institute @ CIPHER), and the University of Dundee (Farr Institute @ Scotland). With a £17.5m-research award from a 10-funder consortium, plus additional £20m-capital funds from the Medical Research Council, the Farr Institute aims to deliver high-quality, cutting-edge research linking electronic health data with other forms of research and routinely collected data, as well as build capacity in health informatics research. The Farr Institute aims to provide the physical and electronic infrastructure to facilitate collaboration across the four nodes, support their safe use of patient and research data for medical research, and enable partnerships by providing a physical structure to co-locate NHS organizations, industry, and other UK academic centres.

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Latest News

  • 07 Feb

    The Challenge of Saving Lives with 'Big Data'

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  • 05 Feb

    Keynote Speakers Announced: 2016 International...

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  • 05 Feb

    Super Guest Dr Ruth McKernan CBE

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  • 04 Feb

    Innovating Informatics: Options, Opportunities...

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  • 25 Jan

    Farr Institute Scotland Newsletter - Jan 2016

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  • 20 Jan

    Cloudy with a Chance of Pain: World First...

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Meetings & Events

  • Farr London Seminar in collaboration with ADRC-E

    Farr Seminar Series in collaboration with ADRC-E
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  • Behaviour Change conference on Digital Health and Wellbeing

    Farr UK
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  • An Introduction to Using Routinely Collected Data With R

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  • Advanced Analysis of Linked Health Data - Application is now open for the course

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