Towards the semantic enrichment of Computer Interpretable Guidelines: a method for the identification of relevant ontological terms
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Other documents of the author: Quesada-Martínez, Manuel; Marcos, Mar; Abad-Navarro, Francisco; Martínez-Salvador, Begoña; Fernández Breis, Jesualdo Tomás
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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Title
Towards the semantic enrichment of Computer Interpretable Guidelines: a method for the identification of relevant ontological termsAuthor (s)
Date
2018-12-05Publisher
American Medical Informatics AssociationISSN
1942-597XBibliographic citation
QUESADA-MARTÍNEZ, Manuel, et al. Towards the semantic enrichment of Computer Interpretable Guidelines: a method for the identification of relevant ontological terms. In: AMIA Annual Symposium Proceedings. American Medical Informatics Association, 2018. p. 922Type
info:eu-repo/semantics/conferenceObjectPublisher version
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371308/Version
info:eu-repo/semantics/publishedVersionAbstract
Clinical Practice Guidelines (CPGs) contain recommendations intended to optimize patient care, produced based on a systematic review of evidence. In turn, Computer-Interpretable Guidelines (CIGs) are formalized versions ... [+]
Clinical Practice Guidelines (CPGs) contain recommendations intended to optimize patient care, produced based on a systematic review of evidence. In turn, Computer-Interpretable Guidelines (CIGs) are formalized versions of CPGs for use as decision-support systems. We consider the enrichment of the CIG by means of an OWL ontology that describes the clinical domain of the CIG, which could be exploited e.g. for the interoperability with the Electronic Health Record (EHR). As a first step, in this paper we describe a method to support the development of such an ontology starting from a CIG. The method uses an alignment algorithm for the automated identification of ontological terms relevant to the
clinical domain of the CIG, as well as a web platform to manually review the alignments and select the appropriate ones. Finally, we present the results of the application of the method to a small corpus of CIGs. [-]
Description
Ponència presentada a 2018 The American Medical Informatics Association Annual Symposium (AMIA 2018) celebrat a San Francisco, Estats Units de l'Amèrica del Nord, el 3 de novembre de 2018
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info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess