An authorization policy management framework for dynamic medical data sharing

In this paper, we propose a novel feature reduction approach to group words hierarchically into clusters which can then be used as new features for document classification. Initially, each word constitutes a cluster. We calculate the mutual confidence between any two different words. The pair of clusters containing the two words with the highest mutual confidence are combined into a new cluster. This process of merging is iterated until all the mutual confidences between the un-processed pair of words are smaller than a predefined threshold or only one cluster exists. In this way, a hierarchy of word clusters is obtained. The user can decide the clusters, from a certain level, to be used as new features for document classification. Experimental results have shown that our method can perform better than other methods.

Social structures of science and approaches to outcomes-based medical research

Recently, two seemingly divergent approaches have emerged in outcomes-based medical research. Proponents of evidence-based medicine (EBM) argue that the most effective treatments will be found by adopting a hierarchical approach that gives pre-eminence to randomized controlled clinical trials, where these are available. Proponents of participatory medical research argue that research undertaken with consumers and other partners in the community will produce the best outcomes. While one approach marginalizes consumer experience the other approach draws consumers into it. EBM assumes a high level of consensus in a scientific community, while participatory medical research relies on co-opting consumer experience. This paper indicates that each approach involves a particular view of social structure in science. The paper uses theories of social relations among scientists for the purpose of critically assessing EBM and the participatory model.

Lack of integration of medical education in Australia: the need for change

The lack of cohesion across health and education sections and national and state jurisdictions is counterproductive to effective national policies in medical education and training. Existing systems in Australia for medical education and training lack coordination, and are under resourced and under pressure. There is a need for a coordinated national approach to assessment of international medical graduates, and for meeting their education and training needs. The links between prevocational and vocational training must be improved. Tensions between workforce planning, education and training can only be resolved if workforce and training agencies work collaboratively. All prevocational positions should be designed and structured to ensure that service, training, teaching and research are appropriately balanced. There is a need for more health education research in Australia.