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
Scenario driven management in a network environment. Scenario planning is the process of identifying plausible futures and their inherent risks. The organisation, the network within which it is embedded, and the environment in which the network operates, form a complex system of non-linear, dynamic, interrelationships. This project will develop a continuous process of scenario planning, capturing learning about the future as it emerges. The project fuses the use of agents for intelligent data co ....Scenario driven management in a network environment. Scenario planning is the process of identifying plausible futures and their inherent risks. The organisation, the network within which it is embedded, and the environment in which the network operates, form a complex system of non-linear, dynamic, interrelationships. This project will develop a continuous process of scenario planning, capturing learning about the future as it emerges. The project fuses the use of agents for intelligent data collection and negotiation with agent-based modelling to build powerful network-based scenario modelling systems for commercial applications. This outcome will place Australia on the frontier of smart information use.Read moreRead less
Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical a ....Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical and real-time physiological data. This project will develop a methodology and technology that supports neonatal analysis incorporating a framework to mine data for trend detection, resulting in higher survival rates.Read moreRead less
High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will d ....High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will develop a methodology and technology that supports the cross correlation of neonatal clinical and physiological data for complex neonatal medical alerts, through the use of agents within an event stream processor, resulting in higher survival rates.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.
Visual optimisation of patient flow in Hospital Emergency Departments. Recent policy announcements by the State and Federal Governments have centred on the need to explore the use of process management principles, normally applied to manufacturing industry, to health services management. This multidisciplinary project addresses one of the most pressing needs in health services - provision of methods to reduce patient queues and waiting times in emergency departments through interactive computing ....Visual optimisation of patient flow in Hospital Emergency Departments. Recent policy announcements by the State and Federal Governments have centred on the need to explore the use of process management principles, normally applied to manufacturing industry, to health services management. This multidisciplinary project addresses one of the most pressing needs in health services - provision of methods to reduce patient queues and waiting times in emergency departments through interactive computing simulation to visualise and plan work process improvements. This smart use of information will benefit hospital managers, patients and their carers, is transferable to other health contexts, and by optimising resource usage has the potential to help build Australian (health) business.Read moreRead less
New real-time risk indicators to improve the efficiency, environmental impact and safety of air traffic management. Air-traffic demand is constantly rising, and Australia is responsible for the management of 11 per cent of the world's airspace. This project aims to develop risk indicators which will enable us to monitor air-safety risks on a constantly updated basis.
The Airport Metropolis: Managing the Interfaces. The project aims to develop coordinated and equitable decision-making to ensure that airport-urban development balances economic, social and environmental issues and produces a sustainable regional (and national) competitive advantage that is both secure and resilient. The project will develop modelling technologies for the innovative management of data to ensure efficient and resilient infrastructure coordination. The outputs will enable an open ....The Airport Metropolis: Managing the Interfaces. The project aims to develop coordinated and equitable decision-making to ensure that airport-urban development balances economic, social and environmental issues and produces a sustainable regional (and national) competitive advantage that is both secure and resilient. The project will develop modelling technologies for the innovative management of data to ensure efficient and resilient infrastructure coordination. The outputs will enable an open planning process whereby all stakeholders are able to provide informed input into decision-making. Strategic decision-making, based on increased certainty about future airport and regional planning and development will improve conditions for growth in a range of industries.Read moreRead less
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
Organisational change in healthcare: Determinants of effective clinical networks. This research will be internationally leading and place Australia at the forefront of research into organisational change in health care. Developing innovative health care organisational structures, such as clinical networks, has the potential to improve the effectiveness of health care and to reduce costs. Benefits for the community will flow from this project through informed decision making about the best ways t ....Organisational change in healthcare: Determinants of effective clinical networks. This research will be internationally leading and place Australia at the forefront of research into organisational change in health care. Developing innovative health care organisational structures, such as clinical networks, has the potential to improve the effectiveness of health care and to reduce costs. Benefits for the community will flow from this project through informed decision making about the best ways to bring about organisational change in health care. The results of this study will have immediate application to the organisational strategies of the Greater Metropolitan Clinical Taskforce and other national government health care agencies that implement organisational change through clinical networks. Read moreRead less