Communicating to promote engagement in using electronic medical records. This reflexive ethnographic and co-design project aims to examine how patient and family participation occurs with health professionals in using the electronic medical record within hospitals, especially for patients with complex needs. Its significance involves working with patients and families to consider how they could take part in decision making activities across transitions of care and influence health care activitie ....Communicating to promote engagement in using electronic medical records. This reflexive ethnographic and co-design project aims to examine how patient and family participation occurs with health professionals in using the electronic medical record within hospitals, especially for patients with complex needs. Its significance involves working with patients and families to consider how they could take part in decision making activities across transitions of care and influence health care activities. Outcomes are new knowledge and practices about how communication occurs with the electronic medical record and strategies adopted for effective engagement. Benefits are increased understanding of how and under what circumstances, engagement can take place in using the electronic medical record.Read moreRead less
Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environm ....Enhancing and supporting deliberations within multidisciplinary decision teams. A group’s knowledge and reasoning processes are rarely conducted or recorded systematically; a problem particularly pressing for medical decisions made by multidisciplinary teams. This project will perform the first integration of knowledge management principles with group reasoning process models to create an online environment for enhancing the quality of group decisions and their documentation. The online environment will help medical teams use documented and non-documented knowledge when more than one medical condition is present and no formal guidelines are applicable. The project advances theories of knowledge in groups and is extendable to any deliberations on complex problems.Read moreRead less
Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will:
* establish Australia as a world-leader in skeletal dysplasia research;
* provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias;
* enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias;
* facilitate collaborativ ....Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will:
* establish Australia as a world-leader in skeletal dysplasia research;
* provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias;
* enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias;
* facilitate collaborative discussions by patients, clinicians and researchers around specific cases to improve training, management and diagnosis; and
* enhance Australia's research expertise in Semantic Web and social networking technologies.Read moreRead less
Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference an ....Nonparametric Machine Learning for Modern Data Analytics. This project intends to develop next-generation machine-learning methods to cope with the growing data deluge. Modern data analytics tasks need to interpret and derive values from complex, growing data. Intended outcomes of the project include new Bayesian nonparametric methods that can express arbitrary dependency amongst multiple, heterogeneous data sources with infinite model complexity, together with algorithms to perform inference and deduce knowledge from them; new Bayesian statistical inference for set-valued random variables that moves beyond vectors and matrices to enrich our analytics toolbox to deal with sets; and a new deterministic fast inference to meet with real-world demand.Read moreRead less