2009 | OriginalPaper | Buchkapitel
Development of Knowledge Intensive Applications for Hospital
verfasst von : Jongho Kim, Han-kuk Hong, Gil-sang Jang, Joung Yeon Kim, Taehun Kim
Erschienen in: Cutting-Edge Research Topics on Multiple Criteria Decision Making
Verlag: Springer Berlin Heidelberg
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Most studies of medical intelligence system have focused on the development of backend data repositories rather than frontend user applications. Also, they tend to lack systematic development models which demonstrate how user requirements inform system design and implementation. For these reasons, it is highly desirable to show the process of eliciting knowledge requirements in addition to the development process for knowledge-intensive applications. This research covers the implementation of a medical intelligence system based on analysis of knowledge requirements such as OLAP (On-line Analytical Processing) fundamental functionalities and knowledge types. The proposed medical intelligence system provides health care providers and their supporters with the ability to draw meaningful insights from very large, complex data sets. A real life case is presented to illustrate the system’s practical usage. Six application packages are defined, namely: explorer, analyzer, reporter, statistician, visualizer, and meta administrator. Finally, the study concludes with an evaluation of the developed system and future research directions.