Smart Ward
Smart Ward - PREDICT (Predicting Risk and Early Deterioration through Intelligent Continuous moniToring)
Caring for hospitalised older adults is challenging due to their complex health issues, which can lengthen hospital stays and increase the risk of falls, delirium, and other complications. Limited resources make prevention difficult, often leading to restrictive measures that can harm patients. This project aims to establish whether advanced movement sensors can better predict risks and enable safer, more personalised care, improving patient safety and outcomes.
The research team
Lead Chief Investigator:
Other Chief Investigators:
Associate Professor Richard Beare (Peninsula Clinical School, Monash University), Professor Velandai Srikanth (National Centre for Healthy Ageing and Peninsula Clinical School, Monash University), Professor Keith Hill (RAIL Research Centre, Monash University) , Adjunct Professor Danny Hills (School of Nursing and Midwifery, Monash University), Associate Professor Sze-Ee Soh (Department of Physiotherapy, The University of Melbourne), Dr Michelle Shannon (RAIL Research Centre, Monash University)
Funding
National Health and Medical Research Council (NHMRC) Ideas grant (ID 2047290), 2026-2029