Syed Sibte Raza Abidi

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In this paper, we highlight the involvement of Knowledge Management in a healthcare enterprise. We argue that the 'knowledge quotient' of a healthcare enterprise can be enhanced by procuring diverse facets of knowledge from the seemingly placid healthcare data repositories, and subsequently operationalising the procured knowledge to derive a suite of(More)
Clinical pathways translate evidence-based recommendations into locally practicable, process-specific algorithms that reduce practice variations and optimize quality of care. Our objective was to abstract practice-oriented knowledge from a cohort of real clinical pathways and represent this knowledge as a clinical pathway ontology. We employed a four step(More)
Tacit knowledge of health-care experts is an important source of experiential know-how, yet due to various operational and technical reasons, such health-care knowledge is not entirely harnessed and put into professional practice. Emerging knowledge-management (KM) solutions suggest strategies to acquire the seemingly intractable and nonarticulated tacit(More)
Within the confines of a Healthcare Enterprise Memory (HEM), most traditional medical systems do not sufficiently provide the necessary assistance to healthcare practitioners in the handling of critical situations. Furthermore, localized knowledge repositories are often lacking the required knowledge for problem solving. Therefore, in this paper, we present(More)
Computerization of Clinical Practice Guidelines (CPG) render them to be executable at the point-of-care. In this paper, we present a knowledge mod-eling methodology to model the form and function of CPG in terms of a new CPG ontology that supports CPG computerization and execution. We developed a CPG ontology, in OWL using Protégé, to represent both the(More)
BACKGROUND Knowledge Translation (KT) plays a vital role in the modern health care community, facilitating the incorporation of new evidence into practice. Web 2.0 tools provide a useful mechanism for establishing an online KT environment in which health practitioners share their practice-related knowledge and experiences with an online community of(More)
In this paper, we propose a new approach for combining item-based collaborative filtering (CF) with case based reasoning (CBR) to pursue personalized information filtering in a knowledge sharing context. Functionally, our personalized information filtering approach allows the use of recommendations by peers with similar interests and domain experts to guide(More)
A knowledge-intensive problem is often not solved by an individual knowledge artifact; rather the solution needs to draw upon multiple, and even heterogeneous, knowledge artifacts. Each knowledge artifact may differ in terms of its modality, origin, and format; and may have different functional/operational roles in different problem-contexts. The synthesis(More)