Research Grant
[Cite as https://purl.org/au-research/grants/arc/LP160101202]Researchers: Branko Celler (Chief Investigator) , Prof Andrey Savkin (Chief Investigator) , Siaw-Teng Liaw (Chief Investigator) , Dr Karen Irvine (Partner Investigator) , Mr Norm Good (Partner Investigator)
Brief description Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internationally and should reduce unnecessary hospital admissions and health service costs. To scale up telehealth services nationally, automated means of assessing changes in an individual health status are needed. This project’s automated risk assessment models are expected to identify exacerbations and orchestrate an optimal response from health services to reduce unscheduled admissions to hospital.
Funding Amount $270,000
Funding Scheme Linkage Projects
- PURL : https://purl.org/au-research/grants/arc/LP160101202
- ARC : LP160101202