Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology

Ibrahim, Ahmed and Bucur, Anca and Dekker, Andre and Scott, M. and Perez Rey, David and Alonso Calvo, Raul and Stenzhorn, Holger and Yu, Sheng and Krykwinski, Cyril and Laarif, Anouar and Mehta, Keyur (2014). Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology. In: "IEEE 14th International Conference on Bioinformatics and Bioengineering (BIBE 2014)", 10-12 Nov 2014, Boca Raton, Florida. ISBN 978-1-4799-7501-3. pp. 204-211.

Description

Title: Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology
Author/s:
  • Ibrahim, Ahmed
  • Bucur, Anca
  • Dekker, Andre
  • Scott, M.
  • Perez Rey, David
  • Alonso Calvo, Raul
  • Stenzhorn, Holger
  • Yu, Sheng
  • Krykwinski, Cyril
  • Laarif, Anouar
  • Mehta, Keyur
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE 14th International Conference on Bioinformatics and Bioengineering (BIBE 2014)
Event Dates: 10-12 Nov 2014
Event Location: Boca Raton, Florida
Title of Book: IEEE 14th International Conference on Bioinformatics and Bioengineering: BIBE 2014: proceedings
Date: 2014
ISBN: 978-1-4799-7501-3
Volume: 1
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (700kB) | Preview

Abstract

Semantic interoperability is essential to facilitate efficient collaboration in heterogeneous multi-site healthcare environments. The deployment of a semantic interoperability solution has the potential to enable a wide range of informatics supported applications in clinical care and research both within as ingle healthcare organization and in a network of organizations. At the same time, building and deploying a semantic interoperability solution may require significant effort to carryout data transformation and to harmonize the semantics of the information in the different systems. Our approach to semantic interoperability leverages existing healthcare standards and ontologies, focusing first on specific clinical domains and key applications, and gradually expanding the solution when needed. An important objective of this work is to create a semantic link between clinical research and care environments to enable applications such as streamlining the execution of multi-centric clinical trials, including the identification of eligible patients for the trials. This paper presents an analysis of the suitability of several widely-used medical ontologies in the clinical domain: SNOMED-CT, LOINC, MedDRA, to capture the semantics of the clinical trial eligibility criteria, of the clinical trial data (e.g., Clinical Report Forms), and of the corresponding patient record data that would enable the automatic identification of eligible patients. Next to the coverage provided by the ontologies we evaluate and compare the sizes of the sets of relevant concepts and their relative frequency to estimate the cost of data transformation, of building the necessary semantic mappings, and of extending the solution to new domains. This analysis shows that our approach is both feasible and scalable.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7FP7-ICT-2011-288048EURECAUnspecifiedUnspecified

More information

Item ID: 37166
DC Identifier: http://oa.upm.es/37166/
OAI Identifier: oai:oa.upm.es:37166
Official URL: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=38715
Deposited by: Memoria Investigacion
Deposited on: 12 Feb 2016 13:46
Last Modified: 15 Nov 2017 16:04
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM