The goal for this project is to better equip aged care workers to identify deteriorating residents, so that appropriate care and resources can be provided.
Project title: Predicting resident deterioration and acute care needs in aged care
Project dates: 30/9/2019 – 31/12/2022
Grants and funding: Digital Health Cooperative Research Centre and Telstra Health
The goal for this project is to better equip aged care workers to identify deteriorating residents, so that appropriate care and resources can be provided. This project will produce an algorithm for use in Telstra Health’s aged care software that will:
a. Identify deteriorating residents so that clinical and other resources can be adjusted accordingly, and to reduce avoidable emergency hospitalisations; and
b. Identify deteriorating residents approaching end of life, so that goals of care can be reviewed as specified in the Advance Care Directive (if completed), in collaboration with the resident and carers; and
c. leverage/adapt existing algorithms and decisions support methods from the acute sector.
This project will leverage from Telstra Health’s residential aged care system and data collected by it to develop algorithms to provide advanced indication of deteriorating condition. Advanced Data Mining and Analytics methods will be developed and applied to support automated decision-making processes for early detection of conditions potentially requiring acute care intervention.
With an ageing population, there are an increasing number of people receiving aged care. Additionally, an increasing number of those who receive care in a residential facility require acute care, and therefore higher needs for medical and other health services. There is also an increasing community expectation to receive care in the home where possible, and for aged care to be of a high standard.
As a result of these shifts, there is increasing pressure on aged care providers to deliver and demonstrate quality care. This is a challenge for many care providers, in a setting that has been de-medicalised for some years, and where clinical information is often gathered manually and in formats that are difficult to interrogate.
Acknowledgement of country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business. - Artwork created by Louisa Bloomer