Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources

[EN] This work presents methods to combine data from the Semantic Web into existing EHRs, leading to an augmented EHR. An existing EHR extract is augmented by combining it with additional information from external sources, typically linked data sources. The starting point is a standardized EHR extract described by an archetype. The method consists of combining specific data from the original EHR with contents from the external information source by building a semantic representation, which is used to query the external source. The results are converted into a standardized EHR extract according to an archetype. This work sets the foundations to transform Semantic Web contents into normalized EHR extracts. Finally, to exemplify the approach, the work includes a practical use case in which the summarized EHR is augmented with drug¿drug interactions and disease-related treatment information.This work has been supported by the Spanish Ministry of Economy and Competitiveness and the FEDER program through grant TIN2014-53749-C2-1-R, and by the Spanish Ministry of Science, Innovation and Universities through grant PTQ2018-009924.Mañas-García, A.; Maldonado, JA.; Marcos, M.; Boscá, D.; Robles, M. (2021). Augmented EHR: Enrichment of EHR with Contents from Semantic Web Sources. Applied Sciences. 11(9). https://doi.org/10.3390/app1109397811

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