Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XM ....Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.Read moreRead less
Data Enhancement, Integration and Access Services for Smarter, Collaborative and Adaptive Whole-of Water Cycle Management. The project provides a valuable opportunity to make significant impact on water resource management and create community partnerships that will go well beyond the lifetime of the project. The project is expected to contribute to improved water quality and healthier ecosystems. In turn, the scientifically rich research environment will benefit all involved. It will demonstrat ....Data Enhancement, Integration and Access Services for Smarter, Collaborative and Adaptive Whole-of Water Cycle Management. The project provides a valuable opportunity to make significant impact on water resource management and create community partnerships that will go well beyond the lifetime of the project. The project is expected to contribute to improved water quality and healthier ecosystems. In turn, the scientifically rich research environment will benefit all involved. It will demonstrate the capability of the Australian researchers in addressing complex problems in data integration and quality. In particular there will be far reaching benefits of research training for associated PhD students and staff.Read moreRead less
Minimising the inappropriate and unnecessary hospital admissions of frail older people. The health system will continue to experience massive pressures in both fiscal and human resource terms. Older patients present with multiple, complex conditions and tend to be admitted because clinicians often do not have the time to explore other options. This project will develop and evaluate a unique and robust model for minimising inappropriate hospital admissions through rapid assessment of suitability ....Minimising the inappropriate and unnecessary hospital admissions of frail older people. The health system will continue to experience massive pressures in both fiscal and human resource terms. Older patients present with multiple, complex conditions and tend to be admitted because clinicians often do not have the time to explore other options. This project will develop and evaluate a unique and robust model for minimising inappropriate hospital admissions through rapid assessment of suitability for home care and complete referral information for safety and quality. Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Building an ethical and sustainable model for health professional recruitment to Australia: A case study of the Philippines. This study will lead to an evidence-based ethical workforce plan for the recruitment of nurses from the Philippines to work in Queensland Health to improve access to health services. The model will be embedded in an integrity system that will ensure transparency and accountability in the employment of overseas-trained health professionals. This will strengthen the governan ....Building an ethical and sustainable model for health professional recruitment to Australia: A case study of the Philippines. This study will lead to an evidence-based ethical workforce plan for the recruitment of nurses from the Philippines to work in Queensland Health to improve access to health services. The model will be embedded in an integrity system that will ensure transparency and accountability in the employment of overseas-trained health professionals. This will strengthen the governance of the health care systems and nursing professions of both countries.Read moreRead less
Examining multi-level Information Technology (IT) project alignment in government services: the case of contracted employment services. Improved Information Technology (IT) alignment is essential for the delivery of government services within a complex public-private, inter-organisational environment. This project will investigate the extent to which well-aligned IT support systems contribute positively to the efficient and effective delivery of contracted employment services.
A new biomechanical model for understanding aging of stored Red Blood Cells. This project plans to develop a novel modelling framework to accurately represent the biomechanical properties of red blood cells (RBCs) over time under stored conditions. Stored RBCs suffer ageing-related deformability changes which impede RBC functions. The framework aims to integrate models for RBC membrane, inside haemoglobin and outside storage solution, and accounts for ageing effects by embedding time-dependent c ....A new biomechanical model for understanding aging of stored Red Blood Cells. This project plans to develop a novel modelling framework to accurately represent the biomechanical properties of red blood cells (RBCs) over time under stored conditions. Stored RBCs suffer ageing-related deformability changes which impede RBC functions. The framework aims to integrate models for RBC membrane, inside haemoglobin and outside storage solution, and accounts for ageing effects by embedding time-dependent correlations. It should provide new insights and understanding of the mechanisms of deformability changes of RBCs during stored lifespan. Therefore, it should significantly improve blood storage industry practices in terms of improving RBC storage protocols with preventative ageing strategies.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
A study investigating the feasibility of implementing a national approach to child and family health services. Understanding and strengthening the way in which universal health services are provided to pregnant women, children and families has the potential to impact over a million Australian families annually. The findings of this study will have national application as federal, state and territory governments work towards implementing a national approach to child and family health services. Th ....A study investigating the feasibility of implementing a national approach to child and family health services. Understanding and strengthening the way in which universal health services are provided to pregnant women, children and families has the potential to impact over a million Australian families annually. The findings of this study will have national application as federal, state and territory governments work towards implementing a national approach to child and family health services. The findings will inform effective multidisciplinary collaboration and service integration, address service gaps and duplication and lead to increased access to services. This study will generate new knowledge about characteristics of organisations, service delivery and professions that facilitate or hinder innovation.Read moreRead less
Multi-level analysis of human resource management systems on hospital outcomes. This project explores the relationships among human resource management systems, perceived organisational support, trust-in-management and commitment of healthcare workers. The fundamental aim is to assist hospital managers to determine where to direct their efforts to have maximum impact upon staff and hospital performance.