A Pilot Study of Contextual UMLS Indexing to Improve the Precision of Concept-based Representation in XML-structured Clinical Radiology Reports | Zendy

Yang Huang | Zendy; Henry Lowe | Zendy; William Hersh | Zendy

Open Access

A Pilot Study of Contextual UMLS Indexing to Improve the Precision of Concept-based Representation in XML-structured Clinical Radiology Reports

Author(s) -

Yang Huang,

Henry Lowe,

William Hersh

Publication year - 2003

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1369

Subject(s) - unified medical language system , search engine indexing , computer science , information retrieval , precision and recall , set (abstract data type) , controlled vocabulary , pairwise comparison , context (archaeology) , automatic indexing , recall , natural language processing , artificial intelligence , paleontology , linguistics , philosophy , biology , programming language

Despite the advantages of structured data entry, much of the patient record is still stored as unstructured or semistructured narrative text. The issue of representing clinical document content remains problematic. The authors' prior work using an automated UMLS document indexing system has been encouraging but has been affected by the generally low indexing precision of such systems. In an effort to improve precision, the authors have developed a context-sensitive document indexing model to calculate the optimal subset of UMLS source vocabularies used to index each document section. This pilot study was performed to evaluate the utility of this indexing approach on a set of clinical radiology reports.

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