The combination of a semi-automatic annotation approach and the NLP application seems to be a solution for generating entry-level interoperable clinical documents.
Allergic contact dermatitis is a common clinical allergic disease. The patch test is the gold standard for finding and clarifying contact allergens. With the deepening understanding of the epidemiology, pathogenesis, and clinical manifestations of contact dermatitis, as well as the increased requirements for the standardized application of patch tests, the relevant consensus needs to be continuously updated. This consensus is updated on the basis of the version issued in 2015. In this revised version, it refines the selection of clinical indications, improves the judgment and interpretation of results, adds delayed detection and patient education, and so on, which aims to further standardize clinical applications and improve the value of patch test.
The Clinical Document Architecture (CDA) is a widely adopted international standard for clinical documents design; the CDA document with coded entries increases the semantic interoperability in the course of clinical document exchange. This study developed a CDA entry generation pipeline for converting free-text documents into CDA documents with entry-level. The results showed that CDA entry coding could be accomplished using natural language processing.
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