Data use register - southwestsde-nhs-uk

Project title	Improving patient outcomes with discharge decision support (IPODDS)
Lay summary	Unplanned readmission to hospital is bad for the patient’s quality of life and puts extra pressure on the NHS. Reasons patients are readmitted include being discharged to a setting that isn’t suitable or without appropriate health or social care support. There are many statistical scores to identify the patients at greatest risk of being readmitted. However, these scores don’t account for a patient’s health and social care needs before being admitted or the support they receive after being discharged. These are both linked to readmission risk. We aim to produce a machine learning model to predict a patient’s risk of readmission, optimised for South West England. This will enable evidence-based conversations between health and social care professionals and patients on post-discharge support and how to reduce readmission risk. The model will be applied to different patient groups, including patients receiving early supported discharge through virtual wards. For this group of patients, we will use the model to measure the effect of virtual wards on readmission risk, and understand how long patients should stay in hospital before early supported discharge, depending on patient characteristics.
Unique identifier of the project	SDE_ SW_PROJ_1
Contracting organisation name	NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board, University of Bristol
Legal name of contracting organisation	NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board, University of Bristol
Website links to find more information	https://leap-hub.ac.uk/funded-projects/
Date of counter-signed data access agreement (DAA) / data sharing agreement (DSA)	Contracting in process
Period of DAA	12 months

Project title	Improving patient flow between acute, community and social care (IPACS)
Lay summary	The IPACS model simulates the discharge pathways for patients with complex needs. Using hospital data in Bristol, North Somerset and South Gloucestershire, it estimates things like bed occupancy, number of patients with a discharge delay, number of days waiting for discharge and total system costs. The model takes into account changes over time. It builds on work to investigate what optimal capacity might look like along complex care discharge pathways, from acute hospital to community healthcare. This project aims to develop the IPACs model and roll it out across other health systems in the South West.
Unique identifier of the project	SDE_ SW_PROJ_2
Contracting organisation name	University of Exeter, University of Bath, NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board
Legal name of contracting organisation	University of Exeter, University of Bath, NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board
Website links to find more information	https://github.com/nhs-bnssg-analytics/ipacs-model https://www.hdruk.ac.uk/projects/improving-patient-flow-between-acute-community-and-social-care/t
Date of counter-signed data access agreement (DAA) / data sharing agreement (DSA)	Contracting in process
Period of DAA	12 months