Cloud2, a Yorkshire-based Microsoft partner providing digital transformation and digital workspace solutions to the NHS, announced today that it’ll be working in partnership with the Royal Liverpool and Broadgreen University Hospitals NHS Trust to predict A&E demand and footfall.
As one of the largest and busiest trusts in northern England, the Royal Liverpool and Broadgreen University Hospitals NHS Trust served 90,726 A&E patients during 2014-2015. Wanting to improve patient care and serviceability, the Trust needed to know how it can predict high or low A&E demand.
Familiar with the work the Trust had done with Cloud2 around business intelligence (the Trust already uses Cloud2’s business intelligence portal – Meson), and their relationship with Leeds University around predictive analytics, the Trust has decided to work with Cloud2 on this project.
Cloud2’s data scientist, Aravinth Pandian will base the model on the artificial intelligence capabilities of Microsoft’s Azure machine learning to analyse 5 years of A&E data combined with weather data. The model will allow the business intelligence team to analyse and predict A&E attendance for the following week in real-time (by the hour), which will enable better planning of resources, staff and bed availability.
“We’re pleased to be working with Cloud2 on the A&E Predictor Tool combining A&E data with Met Office weather. The primary aim is to see how Azure Machine Learning will accelerate our reporting from historical to predictive analytics” says Paul Morris, Head of Business Intelligence.
“This is an exciting period for Cloud2 and the Royal Liverpool and Broadgreen University Hospitals NHS Trust’s relationship. We’re looking forward to helping them on their journey and sharing this learning with the wider NHS” adds Taran Sohal, Cloud2 Director.← Other news articles