The Health Foundation has announced 10 projects to join its Advancing Applied Analytics programme, aiming to advance and improve analytical capabilities across health and care.
Each project will run for 15 months and is backed by £75,000 of funding to support the implementation, evaluation and dissemination of findings from their work.
The projects started this month and are focused on using analysis and information to support decision making across services.
Ellen Coughlan, programme manager at the Health Foundation, said: “Our Advancing Applied Analytics programme aims to increase capability and capacity with regards to analytics. The 10 projects we have selected will demonstrate how better analysis can lead to better patient care.”
Dr Sarah Culkin, head of analytics at NHSX, said: “At NHSX we want to encourage the use of analytics across the NHS and social care as we know it can help local organisations plan and provide better services for their patients and staff.”
“The ten successful projects could each bring huge benefits to the NHS and social care and we look forward to supporting teams as their work progresses.”
The projects are:
- Delivering insight for decision makers: Improving safety and patient flow in intensive care
University Hospitals Bristol and Weston NHS Foundation Trust - An open-source suite to enable and advance analyst engagement in population health management
Healthier Together (Bristol, North Somerset and South Gloucestershire Sustainability and Transformation Partnership) - Application of machine learning in recognising and treating asthma
Heathrow Medical Centre - AuguR: A scalable open-source interactive cancer analytics web application for routinely collected data
Leeds Teaching Hospitals NHS Trust - Putting the R into pharmacy: Developing open-source analytics for better pharmacy stock control
Nottinghamshire Healthcare NHS Foundation Trust - Modelling the quality and availability of regulated health and social care services using geospatial-visualisation
Regulation and Quality Improvement Authority (Northern Ireland) - Developing a patient event based analytical framework to track and identify variation in clinical processes and patient outcome
Royal Berkshire Hospitals NHS Trust - Moving beyond bean counting: Improving analytical capability in health visiting – national scoping and local application
Institute of Health Visiting and Southern Health NHS Foundation Trust - Predicting inpatient flow and improving experiences with machine learning algorithm
Surrey and Borders Partnership NHS Foundation Trust - Predicting length of stay on NHS mental health adult inpatient wards using machine learning
Sussex Partnership NHS Foundation Trust
