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Information Processing and Management: an International Journal
Case-based reasoning
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Visual Explorations in Finance
Decision Support Systems
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory
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A Neural Clustering Approach to Is0-Resource for Acute Healthcare in Australia
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 6 - Volume 6
Data Mining for Case-Based Reasoning in High-Dimensional Biological Domains
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 05
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ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
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Design science in information systems research
MIS Quarterly
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Decision Support Systems
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Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the context of pathology test ordering by general practitioners (GPs). In doing so it illustrates the processes of discovering practical and relevant knowledge from pathology request data generated and stored in a professional pathology company, investigates and understands the decision makers (GPs) through a survey about their current practices in test ordering and their requirements for decision support, and finally proposes an intelligent decision support framework as the decision strategy to support GPs in ordering pathology tests more effectively and appropriately. The process and framework developed through this case contributes effective guidance for practitioners and theoretical understanding concerning intelligent decision support in a complex environment.