Open Access
Yearb Med Inform 2006; 15(01): 81-83
DOI: 10.1055/s-0038-1638472
Synopsis
Georg Thieme Verlag KG Stuttgart

Section 5: Decision Support, Knowledge Representation and Management: Decision support, Knowledge Representation and Management: A broad methodological spectrum

Findings from the Decision Support, Knowledge Representation and Management
B. Brigl
1   University of Leipzig, Institute of Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
,
Managing Editor for the IMIA Yearbook Section on Decision Support, Knowledge Representation and Management.› Author Affiliations

We greatly acknowledge the support of Martina Hutter and of the reviewers in the selection process of the IMIAYearbook.
Further Information

Publication History

Publication Date:
07 March 2018 (online)

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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