Abstract
The OpenEHR archetypes have been suggested as a standard for detailing data models of electronic healthcare records, as a means of achieving interoperability between clinical systems. But, mapping terms of these clinical data models to a terminology system, such as SNOMED CT, is a crucial step to provide the required interoperability. Through this study, we aim to understand better how archetype clinical information is semantically related using SNOMED CT relationships as a reference. For this purpose, we developed an automated approach to bind archetype terms to the SNOMED CT terminology. Our method revealed a high degree of semantic similarity between the terms modeled in the archetypes and the hierarchical and logical relationships covered by SNOMED CT. It has been detected that more than 75% of the archetype terms are semantically related to other terms of the same archetype. Taking this into account, our approach applies a combination of terminological relationships-based techniques with lexical and linguistic resources. A set of 25 clinical archetypes with 477 bound terms was used to test the method. Of these, 378 terms (79%) were linked with 96% precision, 76% recall. Our approach has proven to take advantage of the SNOMED CT relationship structure, increasing the total recall by 10%. Therefore, this work shows that it is possible to automatically map archetype terms to a standard terminology with a high precision and recall, with the help of appropriate contextual and semantic information of both models.
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References
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Allones, J.L., Penas, D., Taboada, M., Martinez, D., Tellado, S. (2013). A Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships. In: Lenz, R., Miksch, S., Peleg, M., Reichert, M., Riaño, D., ten Teije, A. (eds) Process Support and Knowledge Representation in Health Care. ProHealth KR4HC 2012 2012. Lecture Notes in Computer Science(), vol 7738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36438-9_7
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DOI: https://doi.org/10.1007/978-3-642-36438-9_7
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