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DOI: 10.1055/s-0038-1634611
Automated Coding of Patient Discharge Summaries Using Conceptual Graphs
Publication History
Publication Date:
16 February 2018 (online)
![](https://www.thieme-connect.de/media/10.1055-s-00035037/199504/lookinside/thumbnails/10-1055-s-0038-1634611-1.jpg)
Abstract:
In medicine, as in other domains, indexing and classification is a natural human task which is used for information retrieval and representation. In the medical field, encoding of patient discharge summaries is still a manual time-consuming task. This paper describes an automated coding system of patient discharge summaries from the field of coronary diseases into the ICD-9-CM classification. The system is developed in the context of the European AIM MENELAS project, a natural-language understanding system which uses the conceptual-graph formalism. Indexing is performed by using a two-step processing scheme; a first recognition stage is implemented by a matching procedure and a secondary selection stage is made according to the coding priorities. We show the general features of the necessary translation of the classification terms in the conceptual-graph model, and for the coding rules compliance. An advantage of the system is to provide an objective evaluation and assessment procedure for natural-language understanding.
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