Hospital occupancy rates regularly approach 100%, with resultant access block, ambulance bypass, and the last-minute cancellation of elective surgery patients. More efficient management of inpatient beds to reduce these predicaments is imperative. This project will evaluate the impact of a patient admission forecasting system - the Emergency Department Patient Admissions Predictive Tool (EDPAPT) - that has been developed from analysis of historical admissions data at the Gold Coast Hospital.
The aim of the project will determine whether a model that forecasts patient admissions can assist with the allocation of inpatient beds to alleviate one of the major problems of most Emergency Department (ED)s: overcrowding and access block. Specifically it will determine whether the number of elective surgery cancellations and ambulance bypass occurrences are impacted by using a prediction tool, and what impact there is on ED and bed management work practices. The study will also determine if bed managers will make use of prediction tools or whether there are barriers to their use of it, such as perceived inaccuracies, preferences to rely on own judgements or default to current, familiar modus operandi.
The project was a collaboration with CSIRO’s Australian eHealth Research Centre and Queensland Health, with support from Griffith University and the Queensland University of Technology.READ MORE
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