title: Recommendation of standardized health learning contents using archetypes and semantic web technologies.
abstract: Linking Electronic Healthcare Records (EHR) content to educational materials has been considered a key international recommendation to enable clinical engagement and to promote patient safety. This would suggest citizens to access reliable information available on the web and to guide them properly. In this paper, we describe an approach in that direction, based on the use of dual model EHR standards and standardized educational contents. The recommendation method will be based on the semantic coverage of the learning content repository for a particular archetype, which will be calculated by applying semantic web technologies like ontologies and semantic annotations.
authors.affiliation: Departamento de Informática y Sistemas, Universidad de Murcia, Murcia, Spain.
authors.forename: María del Carmen
authors.initials: Mdel C
authors.lastname: Legaz-García
authors.forename: Catalina
authors.initials: C
authors.lastname: Martínez-Costa
authors.forename: Marcos
authors.initials: M
authors.lastname: Menárguez-Tortosa
authors.forename: Jesualdo Tomás
authors.initials: JT
authors.lastname: Fernández-Breis
mesh_terms: D003194:Computer-Assisted Instruction / Q000592:standards*; D004501:Education, Medical / Q000379:methods* / Q000592:standards*; D057286:Electronic Health Records; D055991:Health Records, Personal; D020407:Internet / Q000592:standards; D008490:Medical Informatics / Q000592:standards*; D008498:Medical Record Linkage / Q000592:standards*; D012660:Semantics; D013030:Spain