Imperial College London (ICL)

=LEFT(J121,6)

I request access to the NWL COVID-19 inpatient and ICU data in addition to the WSIC PC and social care data. This will allow me to cluster patients at risk of critical illness using regression modelling, nearest-neighbour classifiers and decision trees.

This project will build on the already approved Whole Systems Integrated Care (WSIC) and iCARE projects: ‘Use of artificial intelligence applied to routine clinical and administrative healthcare data to identify people at risk of serious acute illness’ and ‘COVID ICU data analytics on treatment and therapy’. I am an investigator for both of these projects - please find both approved application forms attached to this submission. I aim to identify characteristics and patterns of data which characterise patients in the community and the hospital environment, at risk of severe and critical illness due to COVID-19. This will serve a number of purposes: • Facilitation of early interventions to medically optimise patients in the community and avoid critical illness and hospital admission • Provide bespoke, targeted assessment of patient risk profiles and inform ‘targeted-shielding’ strategies and patients who may benefit from early admission. • A ‘second-wave’ is possible in the next few weeks to months. The output of this project may allow rapid stratification of patient risk to inform patient care, clinical decisions and the allocation of critical care resources. • Triaging of patients to facilitate informed allocation of restrained critical care resources. The outputs from this may result in systems to allow early interventions for patients, in addition to publications and future grant applications.

21/07/2022

TRE