Linkage Projects - Grant ID: LP160101202

Funded Activity Summary

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.

Funded Activity Details

Start Date: 20-12-2016

End Date: 01-05-2020

Funding Scheme: Linkage Projects

Funding Amount: $270,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Health Information Systems (incl. Surveillance) | Stochastic Analysis and Modelling | Decision Support and Group Support Systems | Public Health and Health Services |

ANZSRC Socio-Economic Objective (SEO)

Evaluation of Health Outcomes | Health Status (e.g. Indicators of Well-Being) | Health Policy Economic Outcomes

Other Keywords

Decision Support and Group Support Systems | Evaluation of Health Outcomes | Health Information Systems (incl. Surveillance) | Health Policy Economic Outcomes | Health Status (e.g. Indicators of Well-Being) | Public Health and Health Services | Stochastic Analysis and Modelling

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