Decision support, Knowledge Representation and Management: A broad methodological spectrum - Findings from the Decision Support, Knowledge Representation and Management

Journal:IMIA Yearbook 2006: Assessing Information - Technologies for Health
ISSN:0026-1270
Issue:2006: 1
Pages:81-83

Decision support, Knowledge Representation and Management: A broad methodological spectrum - Findings from the Decision Support, Knowledge Representation and Management

B. Brigl, Managing Editor for the IMIA Yearbook Section on Decision Support, Knowledge Representation and Management.

University of Leipzig, Institute of Medical Informatics, Statistics and Epidemiology, Leipzig, Germany

Summary

Objectives: To summarize current excellent research in the field of decision support, knowledge management and representation. Methods: Synopsis of the articles selected for the IMIA Yearbook 2006. Results: Decision Support, Knowledge Representation and Management covers a broad spectrum of methods applied to a variety of medical problems and domains. Some particularly interesting and current topics were picked for the IMIA Yearbook 2006: the importance of ontologies for systematic system engineering of decision support systems, syndromic surveillance based on natural language processing, the evaluation of large semantic networks, and a comprehensive ontology for a randomised controlled trial database to support evidence-based practise. Conclusions: The best paper selection shows that methods for decision support, knowledge representation and management can decisively contribute to the solution of many different medical problems, but also that there is still a lot of exiting research to be done Haux R, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2006. Methods Inf Med 2006; 45 Suppl 1: S81-3.

Keywords

Decision Support, Medical Informatics, Knowledge Representation, Ontologies, International Medical Informatics Association, Yearbook, knowledge management, natural language processing

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