Workplace Interventions To Reduce The Cost Of Neck Problems In Office Personnel
Funder
National Health and Medical Research Council
Funding Amount
$660,834.00
Summary
Neck pain in office workers is a major burden in industry in terms of lost productivity and personal suffering. This research will evaluate a novel intervention for the prevention and management of neck pain in computer users. The impact and value of neck specific exercises and best practice office ergonomics will be evaluated from the employers (productivity loss) and workers perspective (severity of neck pain). The findings will directly benefit future management of this significant health iss ....Neck pain in office workers is a major burden in industry in terms of lost productivity and personal suffering. This research will evaluate a novel intervention for the prevention and management of neck pain in computer users. The impact and value of neck specific exercises and best practice office ergonomics will be evaluated from the employers (productivity loss) and workers perspective (severity of neck pain). The findings will directly benefit future management of this significant health issue.Read moreRead less
Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less