Towards the semantic enrichment of Computer Interpretable Guidelines: a method for the identification of relevant ontological terms.

Manuel Quesada-Martínez, Mar Marcos, Francisco Abad-Navarro, Begoña Martínez-Salvador, Jesualdo Tomás Fernández-Breis

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Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Manuel Quesada-MartínezDepartamento de Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca, Spain.

Mar MarcosDept. of Computer Engineering and Science, Universitat Jaume I, Spain.

Francisco Abad-NavarroDepartamento de Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca, Spain.

Begoña Martínez-SalvadorDept. of Computer Engineering and Science, Universitat Jaume I, Spain.

Jesualdo Tomás Fernández-BreisDepartamento de Informática y Sistemas, Universidad de Murcia, IMIB-Arrixaca, Spain.

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6 · The paper itself

Abstract

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.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsPractice Guidelines as TopicVocabulary, ControlledAlgorithmsHealth Information InteroperabilityHumansSemantics

Identifiers

PMID30815135

PMCPMC6371308

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