Knowledge-based clinical pathway for medical quality improvement

Clinical pathways have been adopted for various diseases in clinical departments for quality improvement as a result of standardization of medical activities in treatment process. Using knowledge-based decision support on the basis of clinical pathways is a promising strategy to improve medical quality effectively. However, the clinical pathway knowledge has not been fully integrated into treatment process and thus cannot provide comprehensive support to the actual work practice. Therefore this paper proposes a knowledgebased clinical pathway management method which contributes to make use of clinical knowledge to support and optimize medical practice. We have developed a knowledgebased clinical pathway management system to demonstrate how the clinical pathway knowledge comprehensively supports the treatment process. The experiences from the use of this system show that the treatment quality can be effectively improved by the extracted and classified clinical pathway knowledge, seamless integration of patient-specific clinical pathway recommendations with medical tasks and the evaluating pathway deviations for optimization.

Knowledge based crime scenario modelling

A crucial concern in the evaluation of evidence related to a major crime is the formulation of sufficient alternative plausible scenarios that can explain the available evidence. However, software aimed at assisting human crime investigators by automatically constructing crime scenarios from evidence is difficult to develop because of the almost infinite variation of plausible crime scenarios. This paper introduces a novel knowledge driven methodology for crime scenario construction and it presents a decision support system based on it. The approach works by storing the component events of the scenarios instead of entire scenarios and by providing an algorithm that can instantiate and compose these component events into useful scenarios. The scenario composition approach is highly adaptable to unanticipated cases because it allows component events to match the case under investigation in many different ways. Given a description of the available evidence, it generates a network of plausible scenarios that can then be analysed to devise effective evidence collection strategies. The applicability of the ideas presented here are demonstrated by means of a realistic example and prototype decision support software.

A knowledge-based economy landscape: implications for tertiary education and research training in Australia

This paper discusses the higher education sector’s role in knowledge-based economy though research training, that is, doctoral education. It also examines how a Faculty of Education supports its doctoral candidates in their endeavours to become ‘knowledge producers’. Two themes are explored: one is Australia’s limited investment in education by international standards; and the other is the research training needs and circumstances of doctoral candidates who are located in professional and workplace contexts. The paper discusses the role of online support and a Doctoral Studies in Education (DSE) online seminar program to support primarily off-campus, part-time mid-career professionals. These are typical of many of Australia’s doctoral candidates. E-learning is examined as part of a comprehensive support and research training strategy for doctoral candidates studying at a distance. We discuss the sorts of opportunities and experiences our candidates receive and the extent to which they are readied to work effectively in a knowledge-based economy.

Knowledge based optimisation techniques for sheet metal forming die design

A knowledge based optimism technique has been developed to predict solutions for quality issues found in an initial draw die design. Post processing of the initial design yields all the features applying forces, and major quality issues. Using the geometric relationship between the two, a knowledge-base is interrogated to determine the possible corrective actions. These actions are then passed through a fast semi-analytical model to determine the level of change required. Results from a 2D forming are presented to highlight the advantage of the new algorithms over current optimisation techniques.

Student construction of a knowledge-based system as an actor network

The study contributes to the educational computing discourse in two ways. It extends our understandings of the way students use and understand the building of small knowledge-based systems, and provides a novel and holistic way of investigating the use of information technology in classrooms.