The LBI-method for automated indexing of diagnoses by using SNOMED. Part 2. Evaluation

We present a simple, formal, lexicon-based method for automated indexing of diagnoses based on the Systematized Nomenclature of Medicine (SNOMED), called LBI-method. Part 1 gave an introduction to the LBI-method and presented its realisation as application system SALBIDH. Part 2 presents the design...

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Bibliographic Details
Published in:International journal of bio-medical computing 1995-02, Vol.38 (2), p.101-108
Main Authors: Brigl, Birgit, Mieth, Markus, Haux, Reinhold, Glück, Ewald
Format: Article
Language:English
Subjects:
Abstracting and Indexing as Topic
Automated indexing of diagnoses
Automatic Data Processing
Diagnosis
Evaluation Studies as Topic
Humans
Information retrieval
Information Storage and Retrieval
Medical Records
Natural Language Processing
Nomenclature
Patient Discharge
SNOMED
Software Validation
Subject Headings
Terminology as Topic
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Summary:We present a simple, formal, lexicon-based method for automated indexing of diagnoses based on the Systematized Nomenclature of Medicine (SNOMED), called LBI-method. Part 1 gave an introduction to the LBI-method and presented its realisation as application system SALBIDH. Part 2 presents the design and the results of an evaluation study to judge the quality of the LBI-method. In this evaluation study the quality of automated indexing as well as the quality of the retrieval of patient data by using automated indexed diagnoses was examined. The results show that the retrieval based on SNOMED indices is at least as good as the retrieval based on ICD classes despite a lot of indexing errors. From this we gather that our system is not yet good enough for immediate routine use but that an appropriate indexing quality and, as a result, a higher retrieval quality can be achieved after few improvements of the LBI-method, especially after revision of the lexicons.
ISSN:0020-7101
DOI:10.1016/0020-7101(94)01062-6