Improving Medication Safety In Seniors: A Cross-Jurisdictional Linkage Project
Funder
National Health and Medical Research Council
Funding Amount
$636,717.00
Summary
The project will identify priorities for tackling the current epidemic of hospitalisation of Australians aged 65+ years due to side effects of their medications. Two different groups of medications will be investigated. The first will be the prescribed drugs most often recorded as causes of hospital stay, including those taken to stop blood clotting, for high blood pressure and other cardiovascular problems, for rheumatism or strong pain relief, anti-cancer drugs and steroids. The study will exa ....The project will identify priorities for tackling the current epidemic of hospitalisation of Australians aged 65+ years due to side effects of their medications. Two different groups of medications will be investigated. The first will be the prescribed drugs most often recorded as causes of hospital stay, including those taken to stop blood clotting, for high blood pressure and other cardiovascular problems, for rheumatism or strong pain relief, anti-cancer drugs and steroids. The study will examine which of these drugs taken under what circumstances has the highest risk, so prevention can be better targeted. The study will investigate if adequate laboratory monitoring of the anti- clotting drugs is taking place and whether the guidelines should be updated. The second group will be 68 medications that should be avoided in seniors according to an international expert panel. The research will see how often these 'inappropriate medications' are still prescribed in the Australian setting, and the size of their contributions to unplanned hospital stays. The researchers suspect that this problem is much larger than immediately apparent from routine statistics, because many of the side effects of inappropriate medications are non-specific, such as confusion, drowsiness or difficulty standing up, thus putting seniors at risk of falls and neglect of other aspects of their health. The study will use a unique and new Australian research facility, which has brought together health data on the entire population of WA from both the State and Commonwealth levels, including information on pharmaceuticals, Medicare use, hospital stays and deaths. The facility works in such a way as to preserve patient and GP privacy. A strong feature of this research will be the degree of involvement of a representative and voluntary group of older Australian patients who attend GP clinics, and the GPs themselves, in advising the researchers on what's important to consumers and GPs.Read moreRead less
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
Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internatio ....Predictive analytics from at home telemonitoring of vital signs. Predictive analytics from at home telemonitoring of vital signs. This project aims to reduce unscheduled admissions to hospital, by developing statistical models of people’s health using longitudinal measurements of vital signs and questionnaires. Hospital costs are becoming unsustainable and will overwhelm state budgets within thirty years. Telehealth monitoring to manage chronic disease is becoming increasingly routine internationally and should reduce unnecessary hospital admissions and health service costs. To scale up telehealth services nationally, automated means of assessing changes in an individual health status are needed. This project’s automated risk assessment models are expected to identify exacerbations and orchestrate an optimal response from health services to reduce unscheduled admissions to hospital.Read moreRead less
Integrated Intelligent Decision Support for Field Design and Management of Census Operations in Australia. This project contributes to a more reliable and accurate measurement of the number and key characteristics of Australian people by supporting a more efficient and effective field design and management of the Census operations. As the Census provides a snapshot of Australia and is crucial to communities, private institutions and all levels of government in the planning of services and facili ....Integrated Intelligent Decision Support for Field Design and Management of Census Operations in Australia. This project contributes to a more reliable and accurate measurement of the number and key characteristics of Australian people by supporting a more efficient and effective field design and management of the Census operations. As the Census provides a snapshot of Australia and is crucial to communities, private institutions and all levels of government in the planning of services and facilities, this project not only addresses the research priority of smart information use, but also contributes to strengthening Australia's social and economic fabric. This project will also train highly qualified IT specialists critical to Australia's scientific and industrial development, thus increasing our competitiveness in information technology R&D.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.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
ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, ....ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, semi autonomous wheelchairs), and civil disaster support (eg. fighting bushfires, looking for people in rubble) always keeping people in the loop so that strong human/ machine cooperative ventures can achieve what neither human or machines could accomplish independently.Read moreRead less
Context-aware mobile decision support systems for medical emergency management in mass gatherings. This project contributes to gaining a clearer understanding of the nature and requirements of medical emergency during mass gathering events. We will build and test a mobile real time decision support tool for improving efficiency of medical decisions to strengthen Australia's ability to manage potential health- related hazards. This project addresses research priorities of promoting and maintainin ....Context-aware mobile decision support systems for medical emergency management in mass gatherings. This project contributes to gaining a clearer understanding of the nature and requirements of medical emergency during mass gathering events. We will build and test a mobile real time decision support tool for improving efficiency of medical decisions to strengthen Australia's ability to manage potential health- related hazards. This project addresses research priorities of promoting and maintaining good health. It capitalizes on smart information use and will be of great benefit to mass gatherings emergency management. This project will also train highly qualified IT specialists critical to Australia's scientific and industrial development, thus increasing our competitiveness in information technology R&D. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100431
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Optimising the use of geophysical data for modelling the Australian crust. This project aims to determine the optimal use of geophysical methods to model the Australian crust in four dimensions. These models provide an understanding of the tectonic history of a region and thus its mineral potential. Mineral resources are mostly being found undercover, requiring geophysical data to locate them. This project will combine recent developments in modelling geological uncertainty with data acquired fo ....Optimising the use of geophysical data for modelling the Australian crust. This project aims to determine the optimal use of geophysical methods to model the Australian crust in four dimensions. These models provide an understanding of the tectonic history of a region and thus its mineral potential. Mineral resources are mostly being found undercover, requiring geophysical data to locate them. This project will combine recent developments in modelling geological uncertainty with data acquired for locating zones of mineralisation. The outcomes will help guide Australian government policy to draw on publicly-available datasets that provide a basis for mineral exploration performed by companies, and supported by research institutions.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.