Projects we fund
We fund hundreds of improvement and research projects around the UK looking for ways to improve the quality of health services
This project will identify and analyse longitudinal data in order to establish and measure the impact of changes in health status, and provide insight for policy-makers
Led by the University of Bristol, this project will use causal inference methods to assess how health status causally affects social and economic outcomes.
LAUNCHES QI: Linking AUdit and National datasets in Congenital HEart Services for Quality Improvement
This project will describe patient trajectories through secondary and tertiary care from birth to adulthood; identify metrics for driving quality improvement and informing commissioning; and explore v...
OPTimising routine collection of electronic Patient-Reported Outcomes into disease registries (OPT-ePRO)
This project will examine how best to engage patients, clinicians and commissioners in routine collection of electronic patient-reported outcomes into disease registries, using the UKRR as an exemplar...
Developing and implementing machine learning driven analytics for quality improvement in health care
This project will develop new tools to detect and interpret variation in stroke care quality and patient outcomes, and support better use of data for quality improvement in stroke care.
Variation in patient pathways and hospital admissions for exacerbations of COPD: linking the National COPD Audit with CPRD data
This project is investigating how variations in clinical care and patient pathways affect hospital admissions for exacerbation of chronic obstructive pulmonary disease (COPD) across England.
A cost-effective intervention targeted at helping nurses regain passion for their work, tracking its effectiveness both for the nurses (eg their level of emotional exhaustion) and for the Trust (eg tu...
Surrey health and social Care Analytics Linked Ecosystem (SCALE): Visualising patterns of need and care
This project will develop a joint approach to visualising datasets that describe health need and service provision, to improve how data can inform decision making.
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