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 variation across services to identify priorities.
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.
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.
Linking health and local government data at household level to understand social determinants of health
This project will create an innovative, household-level linked dataset between NHS and local government in order to improve the use of information in the health care system and local government in Islington to assess patterns in the social determinants of health.
This project aims to kick-start the use of the ‘R’ statistical and graphics programming language in the NHS in order to improve data analysis and develop shared solutions.
This project will pilot a new risk stratification model that aims to help clinicians prevent mental health patients from needing urgent hospital care.
This project aims to develop and implement a schedule of training programmes to improve analytical capability across the Gloucestershire health and care system.