Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Improving the implementation of clinical decision support systems
Year:2013
Research Areas
  • Information technology and adata processing
Information
Abstract
Clinical decision support (CDS) systems promise to improve the quality of clinical care by helping physicians to make better, more informed decisions efficiently. However, the design and testing of CDS systems for practical medical use is cumbersome. It has been recognized that this may easily lead to a problematic mismatch between the developers' idea of the system and requirements from clinical practice. In this paper, we will present an approach to reduce the complexity of constructing a CDS system. The approach is based on an ontological annotation of data resources, which improves standardization and the semantic processing of data. This, in turn, allows to use data mining tools to automatically create hypotheses for CDS models, which reduces the manual workload in the creation of a new model. The approach is implemented in the context of EU research project p-medicine. A proof of concept implementation on data from an existing Leukemia study is presented.
International
Si
Congress
35th Annual International Conference of the IEEE
960
Place
Osaka, Japón
Reviewers
Si
ISBN/ISSN
1557-170X
dx.doi.org/10.1109/EMBC.2013.6610225
Start Date
03/07/2013
End Date
07/07/2013
From page
3214
To page
3217
Engineering in Medicine and Biology Society
Participants
  • Autor: Stefan Ruping
  • Autor: Alberto Anguita Sanchez (UPM)
  • Autor: Anca Bucur
  • Autor: Cristian Cirstea
  • Autor: Björn Jacobs
  • Autor: Antje Torge
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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