This project aims to reduce bleeding admissions by 10% over three years using scalable, digitally-supported care pathways deployed across primary and secondary care. It will evaluate both the process of risk reduction and bleeding outcomes in entire local health economies using real-world, real-time data from GP Electronic Health Records (EHRs) across three clinical commissioning groups, over three years, and linked to hospital EHR for bleeding outcomes.
COVID-19 mortality risk for inflammatory arthritis patients: a cohort study using SAIL Databank
24 November 2022
A study of inflammatory arthritis (IA) patients found that shielding reduced the incidence of COVID-19. IA was not associated with an increased risk of dying within 28 days, but being vulnerable...
Can we accurately forecast non-elective bed occupancy and admissions in the NHS? A time-series MSARIMA analysis of longitudinal data from an NHS Trust
1 July 2022
Hospitals need to be able to predict their capacity for admitting patients when planning elective surgeries. Researchers funded by HDR UK developed a new model for making forecasts that were more...
A population-based cohort study of obesity, ethnicity and COVID-19 mortality in 12.6 million adults in England
21 June 2022
Obesity dramatically increases the risk of death from COVID-19 but, the extent of this risk across different body weights and ethnic groups was not clear. Researchers using health and Census...