Document Detail


A prospective evaluation of the medical consultation system CADIAG-II/RHEUMA in a rheumatological outpatient clinic.
MedLine Citation:
PMID:  11501634     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To evaluate the performance of CADIAG-II/RHEUMA as consultant in the primary evaluation of patients visiting a rheumatological outpatient clinic, a CADIAG-II/RHEUMA consultation was done for 54 patients and the list of generated diagnostic hypotheses was compared to each clinical discharge diagnosis. For 26 of a total of 126 rheumatological discharge diagnoses, no matching CADIAG-II/RHEUMA diagnosis was available. 94% of all other discharge diagnoses were found in the list of CADIAG-II/RHEUMA hypotheses, 82% among the first third of the list of hypotheses and 48% among the first five hypotheses. We identified the following factors limiting the ability of CADIAG-II/RHEUMA to generate a comprehensive and correctly ranked list of diagnostic hypotheses: (1) a large percentage of patients with early stages of not clearly identified rheumatological conditions; (2) the limited number of CADIAG-II/RHEUMA diagnoses compared to the large number of known rheumatological conditions; (3) the fact that rheumatological diseases are rarely characterized by a single pathognomonic feature but are usually diagnosed by combinations of rather unspecific findings.
Authors:
H Leitich; H P Kiener; G Kolarz; C Schuh; W Graninger; K P Adlassnig
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Methods of information in medicine     Volume:  40     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  2001 Jul 
Date Detail:
Created Date:  2001-08-14     Completed Date:  2001-10-18     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  213-20     Citation Subset:  IM    
Affiliation:
Department of Medical Computer Sciences, Setion of Medical Expert and Knowledge-Based Systems University of Vienna Medical School, Austria. harald.leitich@univie.ac.at
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MeSH Terms
Descriptor/Qualifier:
Austria
Diagnosis, Computer-Assisted*
Expert Systems*
Fuzzy Logic
Humans
Rheumatic Diseases / diagnosis*
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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