Farr Institute of Health Informatics Research Harnessing Data for Health Science and e-health Innovation

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1 Farr Institute of Health Informatics Research Harnessing Data for Health Science and e-health Innovation Georgina Evans Industry Engagement Manager Farr Institute

2 Who is Farr? Diseases are more easily prevented than cured and the first step to their prevention is the discovery of their exciting causes. William Farr

3 Our Vision To harness health data for patient and public benefit by setting the international standard in trustworthy reuse of electronic patient records and related linkable data for large-scale research.

4 Our Story In March 2012, ten UK funding agencies awarded four Centres of Excellence in e-health informatics research. The four Centres optimize the use of health records in research and address the UK s capacity building requirements to support a sustainable health informatics research base. Together, they bring a total of 24 academic institutions and two MRC units.

5 What is Farr? A distributed virtual research institute that can integrate and scale pioneering work in health informatics Aims to provide the physical and electronic infrastructure to: Develop good governance Support and accelerate research Support partnership Facilitate collaboration Develop new opportunities

6 The MRC 20 million capital investment has been utilised to create the infrastructure for a distributed research network Physical Centres Communications Safe Havens UCL Staff or Student NHS or other partner institution staff Walled Garden Managed File Transfer Remote Desktop Services Data Uploads New data access einfrastructure ` Hosted Applications Per-Project Shared Folders IDHS Authentication Domain Intrusion Detection and Data Leak Prevention Virtualised Hosting Infrastructure + Bulk Storage En B

7 Health Informatics Research Centres Scotland Dundee, Glasgow, Edinburgh, St Andrews, Aberdeen, Strathclyde, MRC HGU, NHS NSS HeRC (North England) Manchester, York, Lancaster, Liverpool, Northern AHSNs, Northern Health Science Alliance, Public Health England CIPHER Swansea, Bristol, Cardiff, Exeter, Leicester, Sussex, NWIS, Public Health Wales London UCL, LSHTM, Queen Mary, Public Health England

8 Data for discovery and health improvement Health Care Data Ambulance Primary care Hospital data - A&E, IP, OP. Pharmacy, Imaging, Pathology Automated Sensors and Smart Devices Mobile phone Fitness bands Patient monitoring Self Generated Data Public Data Internet Social media Loyalty cards Research Data Clinical Trials Biobanks Cohorts Disease Registries Omics DWP, HMRC, ONS Home office Social services Education

9 Our Ten Key Activities 1. Promoting collaborative leadership 2. Performing cutting edge research 3. Strengthening public engagement 4. Advancing proportionate governance 5. Developing innovative methods 6. Enabling Datasets 7. Harmonising e-infrastructure 8. Building industrial partnerships 9. Developing training and career development opportunities 10. Engaging in regular communication

10 Our Impact New Science Larger Scale Greater interoperability and use of standards New partnerships- academic, NHS and Industry Increase UK Skill Base Public and Patient Advocacy

11 Our Key Activities Promoting collaborative leadership Performing cutting edge research Strengthening public engagement Advancing proportionate governance Developing innovative methods Enabling Datasets Harmonising e-infrastructure Building industrial partnerships Developing training and career development opportunities Engaging in regular communication

12 Kidney Farr Farr Scotland Transformational change in Kidney disease research The experience from a Farr Institute site: Farr Institute@Aberdeen (Dr Corri Black) Novel Data Linkage Regional Renal Observatory. Biochemistry Hospital episode Death registry Renal registry ITU Maternity and neonatal databank Outcomes Risk prediction Service & care planning Farr enabled new collaborations: Farr Insitute@Edinburgh, Glasgow, Dundee Farr Institute@London Farr Institue@HeRC UK Renal Registries

13 Kidney Farr Acute Kidney Injury Laurie Tomlinson: Wellcome Trust Intermediate Clinical Fellow Drug-associated acute kidney injury: who gets it, when and why? Simon Sawhney: Wellcome Trust Clinical Research Fellowship Long Term Outcomes of Acute Kidney Injury: Establishing Prognosis to Design Optimal Management Share and develop methodology Joint paper on AKI algorithm methodology submitted to Kidney International Optimising data resources Enabling comparisons between health systems and data sources, external validation, resilience testing Sawhney, S., Mhairi, M., Marks, A., Fluck, N. & Black, C. Long Term Prognosis after Acute Kidney Injury (AKI) - What is the Role of Baseline Kidney Function and Recovery? A Systematic Review'. BMJ Open (in press) Figure 1. National admission rates of acute kidney injury and prescriptions of ACE Inhibitors England (2007 and 2011)

14 We welcome collaboration! Please get in touch: Tel Mobile Thank you for your kind attention!