Discovery Early Career Researcher Award - Grant ID: DE230101551
Funder
Australian Research Council
Funding Amount
$443,742.00
Summary
Towards dignity-based knowledge practices in global health. When the dignity of its beneficiaries is not respected, especially their dignity as knowers, global health efforts in low-income settings perpetuate falsehoods and promote wrong interventions. This project aims to fill an urgent gap in the field of global health – how to institutionalise respect for beneficiaries’ dignity as knowers. The project will do so by investigating strategies that helped to institutionalise evidence-based practi ....Towards dignity-based knowledge practices in global health. When the dignity of its beneficiaries is not respected, especially their dignity as knowers, global health efforts in low-income settings perpetuate falsehoods and promote wrong interventions. This project aims to fill an urgent gap in the field of global health – how to institutionalise respect for beneficiaries’ dignity as knowers. The project will do so by investigating strategies that helped to institutionalise evidence-based practices in the fields of health care and health policy. Expected outcomes include practical strategies to institutionalise dignity-based practices in knowledge production, use and circulation. This should lead to major social, health and economic benefits by improving the effectiveness of global health efforts.Read moreRead less
Spatial analysis of a linked environmental, health and social data base. Extensive environmental, health and socio-demographic data are routinely collected by various agencies throughout Australia. To date, it has been difficult to link separate databases and investigate possible associations between the different parameters within them. In this proposal we plan to link routinely collected health, environment and socio-demographic data from a number of databases. We then plan to develop tools fo ....Spatial analysis of a linked environmental, health and social data base. Extensive environmental, health and socio-demographic data are routinely collected by various agencies throughout Australia. To date, it has been difficult to link separate databases and investigate possible associations between the different parameters within them. In this proposal we plan to link routinely collected health, environment and socio-demographic data from a number of databases. We then plan to develop tools for geo-referencing the data. Finally we plan to perform spatial analysis of the linked data, specifically investigating associations between environmental and social factors and childhood leukaemia, deliberate self harm and adverse birth outcomes. Linking separate databases and performing spatial analysis of georeferenced data will substantially improve the quality of public health surveillance and research in NSW. In addition, it will enable more detailed analysis of the effects of environmental exposures on health, using routine data.Read moreRead less
Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research. Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internation ....Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research. Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internationally. Thus, significant benefits in terms of lower mortality rates and lower long-term disability rates among babies requiring special care is possible. This research will provide the basis for future projects that will support regional hospitals.Read moreRead less
Introducing computer-based documentation to Residential Aged Care: a multi-method evaluation of success. Improvements to quality and use of evidence-based methods in residential aged-care are restricted due to the very slow adoption of electronic information systems. This research will provide key investors, government, aged care providers and IT vendors, with tools to measure success in introducing IT into this sector. The project will create a platform with the national peak body, to dissemina ....Introducing computer-based documentation to Residential Aged Care: a multi-method evaluation of success. Improvements to quality and use of evidence-based methods in residential aged-care are restricted due to the very slow adoption of electronic information systems. This research will provide key investors, government, aged care providers and IT vendors, with tools to measure success in introducing IT into this sector. The project will create a platform with the national peak body, to disseminate lessons in successful implementation of computerised systems in residential aged-care, based on studies in two states. The studies will also benefit the international community researching technology adoption, by extending its boundary condition to a novel setting.Read moreRead less
A PDA (Personal Digital Assistant) based Point of Care (POC) e-Health Solution for Ambulatory Care Services. The proposed PDA based POC system will provide for collection, delivery and exchange of timely information at point of care. The advantage of such a system will be its high mobility and flexibility matching complex healthcare workflow requirements. Through a prototype development for Ambulatory Care Services generic reusable and scalable components will be designed. The prototype will pr ....A PDA (Personal Digital Assistant) based Point of Care (POC) e-Health Solution for Ambulatory Care Services. The proposed PDA based POC system will provide for collection, delivery and exchange of timely information at point of care. The advantage of such a system will be its high mobility and flexibility matching complex healthcare workflow requirements. Through a prototype development for Ambulatory Care Services generic reusable and scalable components will be designed. The prototype will provide an immediate solution to the problem of improving workflow and work processes within Ambulatory Care services and delivery more efficient healthcare. The development of reusable and scalable components will mean that Ambulatory Care Services will have an application that is technology independent and thus allow new technologies to be "plugged in" as they become available and other mobile healthcare community workers will be able to utilize the components for applications of PDAs at POC.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
Systematic Medical Appraisal, Referral And Treatment For Common Mental Disorders In India - SMART Mental Health
Funder
National Health and Medical Research Council
Funding Amount
$1,957,608.00
Summary
An estimated 150 million Indians have mental health disorders and the vast majority receive no care whatsoever. We have developed a solution to strengthen India's primary healthcare system comprising village-based anti-stigma campaigns, and a workforce strategy that leverages the skills of doctors and non-physician frontline workers through use of mobile health technologies. It will be tested in North and South India in a large-scale trial involving 44,000 people and 20 primary health centres.
Positive Computing: The design of technologies that support psychological wellbeing. Designing future technology to foster psychological wellbeing has the potential to affect population-wide positive change. The design of software like apps or social media, can impact things like cyber-bullying, depression, or even foster resilience. This project aims to connect experts across multiple disciplines (psychology, technology and policy) to develop pioneering methods, knowledge, and strategies that w ....Positive Computing: The design of technologies that support psychological wellbeing. Designing future technology to foster psychological wellbeing has the potential to affect population-wide positive change. The design of software like apps or social media, can impact things like cyber-bullying, depression, or even foster resilience. This project aims to connect experts across multiple disciplines (psychology, technology and policy) to develop pioneering methods, knowledge, and strategies that will allow future technologies to play an active role in improving health, performance, and quality of life for all Australians, through research-based design for wellbeing. In doing so, Australia will lead the way on the technological front in a growing global initiative to improve the wellbeing of nations.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
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