Assessing the national productivity impacts of chronic ill health. The project aims to address one of the biggest gaps in health and productivity research by designing a novel composite national metric that will rank lost productivity due to chronic illness The project brings together tax/transfer modelling, health modelling and epidemiological modelling specialists to develop a highly innovative microsimulation model: Health&WorkMOD to then quantify the costs of health-related productivity loss ....Assessing the national productivity impacts of chronic ill health. The project aims to address one of the biggest gaps in health and productivity research by designing a novel composite national metric that will rank lost productivity due to chronic illness The project brings together tax/transfer modelling, health modelling and epidemiological modelling specialists to develop a highly innovative microsimulation model: Health&WorkMOD to then quantify the costs of health-related productivity loss. The proposed model, an international first, will be a powerful tool to comprehensively model the cost impacts of illness and simulate policy options related to health and productivity. This will provide answers to critical policy questions for government with potential significant economic benefits.Read moreRead less
Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven p ....Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.Read moreRead less
The Intended and Unintended Impact of Policy for Adaptive Policy Management. The project aims to advance knowledge about the intended and unintended consequences of policy on health and well-being. It expects to innovate through new methods and novel data to integrate policy evaluation into the policy cycle in a timely fashion to prevent harm from occurring. It also leverages technology to track policy effects in real time. Expected outcomes of this project include new knowledge and enhanced pol ....The Intended and Unintended Impact of Policy for Adaptive Policy Management. The project aims to advance knowledge about the intended and unintended consequences of policy on health and well-being. It expects to innovate through new methods and novel data to integrate policy evaluation into the policy cycle in a timely fashion to prevent harm from occurring. It also leverages technology to track policy effects in real time. Expected outcomes of this project include new knowledge and enhanced policy infrastructure using new methods and interdisciplinary approaches. Significant benefits include improvements to: (1) policy management by government departments; (2) the health and wellbeing of the Australians they serve; (3) our Partners' capacity to consult governments on how technology can assist policy management. Read moreRead less