This project is developing a framework for clinical-related datasets, enabling phenotype-based patient and disease classification to support clinicians and healthcare staff to deliver patient care. The project will also look at developing a digital learning health system for hypertrophic cardiomyopathy (HCM) as well as integrating semantically enhanced rare-disease registries including patients’ phenotypic and genomic data.
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...
Do home adaptation interventions help to reduce emergency fall admissions? A national longitudinal data-linkage study of 657,536 older adults living in Wales (UK) between 2010 and 2017
21 April 2022
Falls are a significant concern for older people and the NHS, however there is little evidence for the effectiveness of services to make adaptations at home. Researchers in Wales have used health...