The problem of optimal scheduling of staff and allocation
of other resources in an ambulance service is of widespread
interest but has not been formally investigated. The increasing
availability of clinical databases and recent improvements
in microcomputer hardware and software have made
sophisticated quantitative analysis of large ambulance service
data sets practical. Our study shows that time series
forecasting might be useful in this setting.