News & Resources

This web page is to provide you with a range of resources and information to better understand HalleyAssist® technology.


Tim Carroll from HalleyAssist® presents at ATSA Independant Living Expo

Lessons learned from remote health monitoring during COVID19 lockdown
Melbourne – 18th May 2021

Link Disability Magazine – see P 36

HalleyAssist® technology in La Trobe Uni, Medibank, Optus funded research on mental, physical health impacts of Covid-19

Staff writers – 31 August 2020

“We’ll look at how virtual remote care technologies can be used in an effective and safe manner during and after the COVID-19 pandemic. Ideally these technologies will enable hospital patients to be discharged earlier, to safely recover at home. We’ll develop a framework for homebased virtual care, with input from clinicians and feedback from patients and families.”

The project will be run in collaboration with Northern Health, Proactive Aging and HalleyAssist.
IT Wire – News story on Grant collaboration

Optus, Medibank and La Trobe Uni fund digital health projects

Matt Johnston – Aug 27 2020
Led by professors James Boyd and Ani Desai, the project will develop a framework to evaluate virtual care models, such as remotely monitoring the health of patients discharged from hospitals who might be at high risk of readmission, or long-term monitoring of patient health in residential aged care settings.

It will be run using existing technologies in partnership with Northern Health, HalleyAssist® and Proactive Aging.
IT News story

HalleyAssist® establishes a research project with Swinburne University of Technology

Research project, Swinburne University of Technology

The purpose of this project is to improve the ability of HalleyAssist® to detect unusual patterns of behaviour. By studying data generated by HalleyAssist® sensors during normal operation, we aim to obtain insights so we are better able to detect unusual patterns of sensor behaviour. Such patterns may indicate that the person using the solution is unwell or otherwise incapacitated. The primary activity of this phase is to evaluate the data collected from the sensors and evaluate against a number of models:

  • Anomaly detection based on simple models involving single or limited sensors
  • Anomaly detection based more complex models and aggregates of sensor

Data will be analysed and used to improve the design of future releases of the solution. Summaries of the data may be published in journals or presented at conferences. In such cases, only anonymous summarised data will be included.

Challenges of an ageing population

Rebecca de Boer, Social Policy Section – Research publication, Parliament of Australia – 12 October 2010

This publication provides important projections and statistics of the rapid increase in the number of people aged 65-84 years in Australia’s population by 2022, and how we must look at reforming aged care to meet demand. It covers community based care, financing models, regulation and planning, aged care workforce and future prospects within the sector.

Challenges of an ageing population

Useful links

Helpful links

When caring for a loved one, there’s no such thing as too much information. Hopefully, these links can provide even more information on caring for your loved one and their specific needs.