Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer - Publication - Bridge of Knowledge

Search

Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer

Abstract

The integration of Clinical Decision Support Systems (CDSS) in nowadays clinical environments has not been fully achieved yet. Although numerous approaches and technologies have been proposed since 1960, there are still open gaps that need to be bridged. In this work we present advances from the established state of the art, overcoming some of the most notorious reported difficulties in: (i) automating CDSS, (ii) clinical workflow integration, (iii) maintainability and extensibility of the system, (iv) timely advice, (v) evaluation of the costs and effects of clinical decision support, and (vi) the need of architectures that allow the sharing and reusing of CDSS modules and services. In order to do so, we introduce a new clinical task model oriented to clinical workflow integration, which follows a federated approach. Our work makes use of the reported benefits of semantics in order to fully take advantage of the knowledge present in every stage of clinical tasks and the experience acquired by physicians. In order to introduce a feasible extension of classical CDSS, we present a generic architecture that permits a semantic enhancement, namely Semantic CDSS (S-CDSS). A case study of the proposed architecture in the domain of breast cancer is also presented, pointing some highlights of our methodology.

Citations

  • 2 1

    CrossRef

  • 0

    Web of Science

  • 2 2

    Scopus

Authors (3)

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
PATTERN RECOGNITION LETTERS no. 34, edition 14, pages 1758 - 1768,
ISSN: 0167-8655
Language:
English
Publication year:
2013
Bibliographic description:
Szczerbicki E., Sanin C., Toro C.: Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer// PATTERN RECOGNITION LETTERS. -Vol. 34, iss. 14 (2013), s.1758-1768
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.patrec.2013.04.003
Verified by:
Gdańsk University of Technology

seen 60 times

Recommended for you

Meta Tags