Sensors are helping older Australians with their desire to age in their homes for as long as they wish. These devices can measure multiple variables such as body position, movement and activity, sleep quality, blood pressure, blood oxygen saturation, body temperature, heart rhythm and rate, blood oxygen, fatigue levels, and respiration rate.
Now a NSW Smart Sensing Network Grand Challenge Fund project is hoping to transform the provision of care in the home by describing which data collected by sensors provides the most meaningful improvements in care. This includes sensor measurements which best detect and predict deterioration or an adverse event.
The insights can inform personalised care models, enabling proactive interventions by clinicians and carers to prevent events such as falls and subsequent hospital admission, and can help maintain a client’s independence and quality of life.
The project is being led by Professor Paul Egglestone, Director of at the University of Newcastle.
“Our goal is to identify a universally clinically agreed set of ‘meaningful measures’ that can unlock the potential of IoT devices for home care,” says Professor Paul Egglestone. “This will help healthcare providers move from reactive to proactive care, reducing hospital admissions and enhancing the independence of older Australians.”
Innovative models of home-based care using sensor devices such as wearables can track physiological measurements such as vital signs, activity and movement tracking, diet and nutrition.
These technologies have been proven to build personal profiles of norms and habits from sensor data, detect risks indicated by thresholds and trends, and send messages and alarms to healthcare providers, carers and families.
The project team will conduct a meta-analysis of existing studies to identify a subset of meaningful measurements that provide a comprehensive understanding of older people’s wellbeing at home.
The project is a partnership with co-investigator Professor Jason Prior, Professor of Planning, Health and Environment at the UTS Institute of Sustainable Futures, and industry partners InteliCare, My Medic Watch, Hills Health, Hospital in your ³Ô¹ÏÍøÕ¾, Vlepis and United for Care. “This project will identify a draft suite of meaningful measures and validate these using existing data collected by our industry partners,” Professor Prior says. “This will produce a validated set of meaningful measures, providing personalised information and actionable insights. These insights will facilitate sensor-assisted support for our ageing population and their caregivers, ultimately improving independence, health outcomes and enhancing the quality of life.”
