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Query: UMLS:C0740577 (acute abdominal pain)
 1,982 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Despite promising results, computer-aided diagnosis in acute abdominal pain is rarely used in the clinic. We therefore developed an expert system for acute abdominal pain to be used in clinical routine. The system is based on a new approach integrating a data dictionary, a clinical database and the knowledge base. A data dictionary editor has been developed (C++, WINDOWS, IBM-compatible PC) and a data dictionary for acute abdominal pain has been built up. The clinical database has been linked to a documentation program providing three modes of data entry. The documentation program has been evaluated extensively by clinicians. The integrated approach clearly separates clinical data from knowledge, but guarantees high consistency of data.
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PMID:Integration of a data dictionary and a clinical database in an expert system for acute abdominal pain. 859 93

This paper describes the design and realisation of a knowledge-based system and a clinical documentation system linked via a data dictionary. The software was developed as a shell with object oriented methods and C++ for IBM-compatible PC's and WINDOWS 3.1/95. The data dictionary covers terminology and document objects with relations to external classifications. It controls the terminology in the documentation program with form-based entry of clinical documents and in the knowledge-based system with scores and rules. The software was applied to the clinical field of acute abdominal pain by implementing a data dictionary with 580 terminology objects, 501 document objects, and 2136 links; a documentation module with 8 clinical documents and a knowledge-based system with 10 scores and 7 sets of rules.
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PMID:Integration of a knowledge-based system and a clinical documentation system via a data dictionary. 1017 86