The Effect of Using a Semantic Wiki for Metadata Management: A Controlled Experiment
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Future Generation Computer Systems
Aligning application architecture to the business context
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
Proceedings of the 1st ACM International Health Informatics Symposium
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With the number of prescriptions rising nationally each year, it is required that web-based technology will fully embraced in the pharmacy industry as an aid to quality-assuring prescribing processes. Electronic prescribing (ePrescribing) has the ability not only to streamline the prescription writing process, but also to reduce the number of errors that may be incurred with hand-written prescriptions. The adoption of ePrescribing nationwide through an ePrescribing system premises active participation of users who are familiar with the cooperative and collaborative nature of healthcare delivery. Thus, there is a need for reusable, flexible, agile and adaptable training content with the objective to enable healthcare professionals instill their knowledge and expertise in the ePrescribing process. To this end, social software, such as a wiki, could be used as it supports cooperation and collaboration anytime, anywhere, combined with semantic web technology that enables structuring pieces of information for easy retrieval, reuse and exchange between different systems and tools. In this paper a semantic wiki is presented as a means for developing training material for healthcare providers regarding ePrescribing process. The semantic wiki should act as a collective online memory containing training material that is accessible to authorized users, thus enhancing the training process with collaboration and cooperation capabilities. It is proposed that the wiki is stored in a secure virtual private cloud that is accessible from anywhere, be it an excessively open environment, while meeting the requirements of redundancy, high performance and autoscaling.