Short-Term Forecasting of Emergency Inpatient Flow
Gad Abraham, Graham B Byrnes, Christopher A Bain
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2009
Hospital managers have to manage resources effectively, while maintaining a high quality of care. For hospitals where admissions from the emergency department to the wards represent a large proportion of admissions, the ability to forecast these admissions and the resultant ward occupancy is especially useful for resource planning purposes. Since emergency admissions often compete with planned elective admissions, modeling emergency demand may result in improved elective planning as well. We compare several models for forecasting daily emergency inpatient admissions and occupancy. The models are applied to three years of daily data. By measuring their mean square error in a cross-validation ..View full abstract
Related Projects (2)
Awarded by Australian Research Council
Awarded by National Health and Medical Research Council (NHMRC)
This work was supported by the Australian Research Council under Linkage Grant LP0349153. The work of G. B. Byrnes was supported by the National Health and Medical Research Council (NHMRC) Capacity Building under Grant 251533.