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Interoperability of electronic health records using Semantic knowledge graphs. A use case applied at the UTPL University Hospital

Abstract:

Patient medical information is diverse, extensive and of high value in supporting informed medical decision-making. This information is highly complex, is distributed among different systems, presents high heterogeneity, is stored in different formats, and has different structuring levels. The management of this information poses interoperability challenges in tasks related to data integration and reuse. In this paper, an alternative is presented to face these challenges using semantic technologies. We propose to transform this heterogeneous, distributed, and unstructured information in a way that ensures high interoperability, reuse, and direct processing by machine agents. The pilot of this proposal was developed at the UTPL Hospital.