A DKMS is a system that manages the integration of distributed objects into a functioning whole producing, maintaining, and enhancing a business knowledge base. A business knowledge base is the set of data, validated models, meta-models, and software used for manipulating these, pertaining to the enterprise, produced either by using a DKMS, or imported from other sources upon creation of a DKMS. A DKMS, in this view, requires a knowledge base to begin operation. But it enhances its own knowledge base with the passage of time because it is a self-correcting system, subject to testing against experience. The DKMS must not only manage data, but all of the objects, object models, process models, use case models, object interaction models, and dynamic models, used to process data and to interpret it to produce a business knowledge base.
Published in Chapter:
Distributed Knowledge Management in Healthcare
Christos Bountis (Oxford Radcliffe Hospitals, UK)
Copyright: © 2009
|Pages: 17
DOI: 10.4018/978-1-60566-002-8.ch014
Abstract
This chapter introduces and reviews the concept of distributed knowledge management within the Healthcare environment and between Healthcare and other partner organisations. As management should not be mistaken for control, distributed should not be identified with multicentered. Trade-offs between managerial centralism and social contextuality should be allowed. Although the core issues in knowledge management are not technological, tools that can support the central versus social dualism of knowledge management are critical to the effective and appropriate use of generated knowledge. Information tools can significantly affect the user experience and local social wiliness to participation and enhance the managerial trends that make use of knowledge networks and shared logistics. They include service-oriented architectures (SOA), artificial intelligence networks (AIN), multiple agent systems (MAS) and the contextual tools of Web 2.0. All of those tools feed their functionality on the semantic detail, the granularity and the trust levels enjoyed by their information sources.