Improving kidney patient care and outcomes through health informatics research
Kidney Disease@Farr brings a multidisciplinary group of researchers with interests in health informatics and kidney disease from across the four Farr Institute Centres together with the UK and Scottish Renal Registries, Patient View, the UK Renal Data Collaboration and academic partners to:
• Generate opportunities to share ideas, challenges and learning
• Foster collaborations around kidney research
Kidney disease is a substantial public health problem, with Chronic Kidney Disease (CKD) affecting approximately 10% of the population, and Acute Kidney Injury (AKI) complicating up to 1 in 7 hospital admissions. Internationally and in the UK, there has been substantial focus on raising awareness, facilitating early diagnosis and developing clinical practice guidelines. The UK Renal Registries’ provide longstanding exemplars for high quality data collection for people with severe kidney disease requiring renal replacement therapy. Data linkage provides a growing opportunity to improve our understanding of kidney disease and care across the spectrum of kidney disease.
Across the UK, researchers in the Farr Institute of Health Informatics Research Centres have been developing novel data linkages to support kidney disease research. Linkages include examples from laboratory, primary care, hospital episode, prescribing, clinical cohorts and registries. The Farr Institute has already enabled cross centre working, for example, Wellcome Funded Clinical Research Fellows in Farr Institute, London and Farr Institute, Scotland are working together on Acute Kidney Injury.
Kidney Disease@Farr is a new initiative that aims support the development and sharing of research ideas, foster collaborations and utilise the Farr Infrastructure to improve kidney patient care and outcomes through collaborative health informatics research.
The algorithm which will be made publically available together with associated metadata and guidance for local implementation. Additionally, we anticipate the publication of a clinical report of incidence and characteristics of AKI episodes in four UK health care populations, including potential explanations for any differences. We will also publish a methodological paper providing generic guidance how to replicate electronic phenotyping algorithms across datasets with different contexts and underlying infrastructures.
• Kick-off meeting (via telepresence): 26th March 2015
• Follow-up meeting (via telepresence): 7th July-2015
• Kidney session at The Farr Institute International Conference 2015 (St Andrews, Scotland): 26th to 28th of August 2015
• Farr Frontiers meeting (Manchester): 8th October 2015
• Face-to-face meeting (Manchester): 11th August 2016
• Face-to-face meeting (Edinburgh): 28th February 2017
• Presence at the Informatics for Health Conference 2017 (Manchester): 24th to 26th of April 2017
For more information or to express your interest in collaborating, please contact:
|Farr Institute @ CIPHER:||Dr James Chess, Prof Ronan Lyons, Dr Tim Scale|
|Farr Institute @ HeRC:||Dr Paolo Fraccaro, Dr Heather Robinson, Dr Niels Peek, Dr Sabine van der Veer|
|Farr Institute @ Scotland:||Prof Corri Black, Dr Angharad Marks, Dr Simon Sawhney|
|Farr Institute @ London:||Prof Liam Smeeth, Dr Laurie Tomlinson|
|National CKD audit:||Dr Dorothea Nitsch|
|UK Renal Registry:||Dr Fergus Caskey|
|Scottish Renal Registry:||Dr Wendy Metcalfe|
|PatientView:||Dr Neil Turner|
|UK Renal Data Collaboration:||Dr Keith Simpson|
|University of Edinburgh||Dr Nynke Halbesma, Dr Eve Miller-Hodges|
|University of Southampton||Dr Simon Fraser, Dr Hilda Hounkpatin, Prof Paul Roderick|