Medical Xpress September 8, 2022
An artificial intelligence tool developed by researchers at UCL alongside staff at UCLH is being used to predict how many patients coming through the emergency department will need to be admitted into the hospital, helping planners manage demand on beds.
The tool, described in a new paper in npj Digital Medicine, estimates how many hospital beds will be needed in four and eight hours’ time by looking at live data of patients who have arrived at the hospital’s emergency department.
In the study, the research team showed that the tool was more accurate than the conventional benchmark used by planners, based on the average number of beds needed on the same day of the week for the previous six weeks.
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