From data to action: a new process for developing injury countermeasures. This project aims to understand how reporting systems can improve workplace safety. Workplace injury affects over 600 000 Australian workers per year at a cost of approximately $60 billion. Although the introduction of incident reporting systems has enabled organisations to better understand the causes of injuries, how to translate this knowledge into effective countermeasures remains ambiguous. Moreover, it is not clear w ....From data to action: a new process for developing injury countermeasures. This project aims to understand how reporting systems can improve workplace safety. Workplace injury affects over 600 000 Australian workers per year at a cost of approximately $60 billion. Although the introduction of incident reporting systems has enabled organisations to better understand the causes of injuries, how to translate this knowledge into effective countermeasures remains ambiguous. Moreover, it is not clear whether adopting incident reporting systems actually leads to a safety benefit. This research intends to tackle these critical knowledge gaps by developing, implementing, and testing a process for translating incident reporting system outputs into appropriate and effective injury countermeasures, and then evaluating the safety effects of adopting the new incident reporting and learning cycle.Read moreRead less
Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key f ....Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key features affecting patient presentations are non-linear in character and non-linear modelling may provide more accurate patient predictive models. This project provides prospective analysis of data to develop a non-linear predictive model.Read moreRead less