1 Information Systems Research Group, Aarhus School of Business, Aarhus BSS, Aarhus University2 Department of Marketing and Statistics, Aarhus School of Business, Aarhus BSS, Aarhus University3 Department of Business Studies, Aarhus School of Business, Aarhus BSS, Aarhus University
In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. Computer based decision support systems has usually been focusing on the outcome of the decision making and treated it as a single task. In this paper a framework for a Clinical Reasoning Knowledge Warehouse (CRKW) is presented, intended to support the reasoning process, by providing the decision participants with an analysis platform that captures and enhances information and knowledge. The CRKW mixes theories and models from Artificial Intelligence, Knowledge Management Systems and Business Intelligence to make context sensitive, patient case specific analysis and knowledge management. The knowledge base consists of patient health records, reasoning process information and clinical guidelines. Patient specific information and knowledge is continually enhanced by adding results of analysis. Context sensitive analysis is done by retrieving similar patient cases and guidelines from the knowledge base in a case based fashion.
I-know04: 4'th International Conference on Knowledge Management, 2004, p. 397-204