Compositionality and overlapping in biomedical terminology: alternatives for health interoperability
A paramount information source within clinical practice is the patient record , an information-filled document that already exists in electronic format. The inherint inherent ambiguity of theThe ambiguity inherent in medical discourse has hampered the much sought-after automatic integration between...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio Grande do Sul (UFRGS) |
| Repositorio: | Em Questão (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:seer.ufrgs.br:article/98128 |
| Acceso en línea: | https://seer.ufrgs.br/index.php/EmQuestao/article/view/98128 |
| Access Level: | acceso abierto |
| Palabra clave: | Ontologia Representação do conhecimento Terminologias clínicas Interoperabilidade. Ontology Knowledge representation Medical terminologies Interoperability. |
| Sumario: | A paramount information source within clinical practice is the patient record , an information-filled document that already exists in electronic format. The inherint inherent ambiguity of theThe ambiguity inherent in medical discourse has hampered the much sought-after automatic integration between electronic health records since, at this stage, automated systems are unable to address the syntactic and semantic complexity of the human language. Even standard terminologies designed to address such complexity are unable to solve the issues involved because of the multiplicity of alternatives, in addition to the fact that they are created for different purposes and goals. All this has resulted in redundancy, rework, and overlapping between terms. This paper assumes that the issue of interoperability is complex and needs to be tackled on several fronts. One of these fronts, in the context of electronic healthcare records, involves two conceptual conditions: epistemological overlapping and term compositionality. After explaining those conditions, we make use of an ontology-based model created on previous research to design and to test a method that aims to compensate for the shortcomings of such conditions. The test was performed on a fragment of the International Classification of Diseases. We found that the aforementioned conceptual conditions are relevant aspects to be faced in seeking interoperability. |
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