Description
New localisation and motion-based sensor technologies, including radar, RFID and Bluetooth, are being rapidly developed and deployed in aged care, home and hospital settings. However, there is a lack of real-world evidence on their acceptability, validity and clinical relevance, potentially leading to wasteful health and aged care spending.
The aim of this project is to build the evidence base on new localisation and motion-based sensor technologies in hospital settings in order to guide clinical policy and practice.
Specific research questions may include:
1. What is the current published evidence on the psychometric properties and impact of localisation/motion-based sensor technologies in health, aged and home care settings?
2. What are the psychometric properties of these technologies for measuring movement and falls in hospitalised older adults?
3. Can movement patterns detected using these technologies help predict adverse outcomes in hospitalised older adults, e.g. delirium, behaviours of concern?
4. What are the perspectives of patients and staff on the acceptability, feasibility and clinical utility of localisation and motion-based sensor technologies in hospital settings?
Essential criteria:
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords
sensors, radar, Bluetooth, psychometrics, prediction, adverse events, hospitalised older adults
School
School of Primary and Allied Health Care
Available options
PhD/Doctorate
Time commitment
Full-time
Part-time
Top-up scholarship funding available
No
Physical location
Peninsula campus