The UK Department for Science, Innovation and Technology (DSIT) has reported that hospitals are using artificial intelligence (AI) to improve planning and tackle bottlenecks in A&E departments.
The A&E demand forecasting tool highlights how the government is using cutting edge and emerging technologies to modernise public services and drive national renewal.
Available to all NHS Trusts, it is already in use by 50 NHS organisations – helping them plan how many people are likely to need emergency care and treatment on any given day.
DSIT stated that for NHS staff, this means smarter planning for shifts and bed space in the long-term, reducing last-minute pressure thanks to clearer forecasts which spot potential bottlenecks.
While for patients, it will ultimately mean shorter waiting times during busy periods – ensuring people get the care they need more quickly.
Utilising live NHS data, the tool is constantly trained on seasonal health data to help spot surges in demand for health services before they happen.
The tool uses this data to highlight regular pinch points where demand is likely to be higher across the course of the year.
That includes a wide range of areas, from Met Office temperature forecasts and hospital admissions through to which days of the week are busier than others.
This data then produces forecasts for the coming days and weeks which hospitals can use to more effectively manage resources.
DSIT also reported that early feedback from staff has been positive and that hospital managers have praised its impact in supporting them to make better decisions about staffing and capacity.
UK health innovation minister Dr Zubir Ahmed said: “The AI revolution is here and we are arming our NHS staff with the latest technology to help slash A&E waits for patients this busy winter period.
“Innovations like these will help hospitals manage winter pressure and prioritise resources over the coming months as we continue to battle a tidal wave of flu.
“This is part of our 10 Year Health Plan to shift healthcare from analogue to digital as we build an NHS that is fit for the future.”
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