
Workplace Injury Rehabilitation
By analyzing diverse lived experience data from individuals who have experienced workplace injuries, valuable insights into the factors influencing recovery outcomes can be gained.

AI algorithms can pinpoint patterns and risk factors, enabling the development of personalized recovery plans for injured workers. These targeted interventions may encompass specialized physical therapy, psychological support, workplace accommodations, and gradual return-to-work programs, all aimed at expediting the healing process and restoring productivity. Leveraging the power of AI and lived experience data, these tailored rehabilitation programs can be designed to cater to each worker's unique needs and circumstances.
By harnessing data-driven insights, healthcare professionals can optimize treatment plans, leading to more effective and efficient recovery outcomes. This approach not only benefits the injured workers by facilitating their return to work and improving their well-being but also has potential cost savings for employers by reducing absenteeism and worker's compensation expenses.
The integration of AI and lived experience data in workplace injury rehabilitation has the potential to transform the way we address and support injured workers, fostering a safer and more productive work environment.
We are seeking researchers in Australia, the US, the UK, Canada and NZ to develop either country specific or multi-country research projects.