Using software we've developed, hospitals can predict how many patients will arrive in emergency, their medical needs and how many will be admitted or discharged.
Emergency wards are overcrowded
Emergency departments are increasingly overcrowded and can struggle to respond to day-to-day arrivals in a timely manner.
Most hospitals would currently have difficulty meeting the four-hour National Emergency Access Target set by the Australian Government in its 2012 MyHospitals report.
Contrary to conventional wisdom that emergency patient volumes are unpredictable, we have found that the number of admissions per day can be predicted with remarkable accuracy.
Developing tools to predict hospital demands
Hospital patient admission prediction tool: Dr James Lind describes how this tool helps hospitals manage patient load.
We have developed new software tools to accurately forecast demand and help ensure access to emergency care and a hospital bed.
These tools use a hospitalâ€™s historical data to provide an accurate prediction of the expected patient load, their medical urgency and specialty, and how many will be admitted and discharged.
We are investigating how they can be used to help an entire hospital run more smoothly and efficiently, from reducing 'bed block' in emergency departments to minimising waiting time for elective surgery.
The first technology is called the Patient Admission and Prediction Tool (PAPT) and was developed at our Australian eHealth Research Centre in partnership with Queensland Health, Griffith University and Queensland University of Technology.
We are extending PAPT to predict diseases such as influenza and the hospital admissions of patients with chronic diseases.
Demand Prediction Analysis Tool is our second prediction technology and an adaptation of PAPT. It is being trialled in Victoria for the first time through the Victorian Government Technology Innovation Fund.
Improving health outcomes
The tools have been shown to have a 90 per cent accuracy rate in forecasting bed demand. If the entire country was to adopt prediction tools like this, a huge $23 million in annual savings could be made across Australia.
PAPT is being used by more than 30 Queensland hospitals to assist with:
For patients the system has delivered improved health outcomes such as:
PAPT also received the 2012 CeBIT Business Award for Innovation.