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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
1990-2-22
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pubmed:abstractText |
A computerized data acquisition tool, the special purpose radiology understanding system (SPRUS), has been implemented as a module in the Health Evaluation through Logical Processing Hospital Information System. This tool uses semantic information from a diagnostic expert system to parse free-text radiology reports and to extract and encode both the findings and the radiologists' interpretations. These coded findings and interpretations are then stored in a clinical data base. The system recognizes both radiologic findings and diagnostic interpretations. Initial tests showed a true-positive rate of 87% for radiographic findings and a bad data rate of 5%. Diagnostic interpretations are recognized at a rate of 95% with a bad data rate of 6%. Testing suggests that these rates can be improved through enhancements to the system's thesaurus and the computerized medical knowledge that drives it. This system holds promise as a tool to obtain coded radiologic data for research, medical audit, and patient care.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
AIM
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pubmed:status |
MEDLINE
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pubmed:month |
Feb
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pubmed:issn |
0033-8419
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
174
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
543-8
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:2404321-Artificial Intelligence,
pubmed-meshheading:2404321-Decision Support Techniques,
pubmed-meshheading:2404321-Diagnosis, Computer-Assisted,
pubmed-meshheading:2404321-Documentation,
pubmed-meshheading:2404321-Expert Systems,
pubmed-meshheading:2404321-Hospital Information Systems,
pubmed-meshheading:2404321-Humans,
pubmed-meshheading:2404321-Natural Language Processing,
pubmed-meshheading:2404321-Online Systems,
pubmed-meshheading:2404321-Radiology Information Systems
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pubmed:year |
1990
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pubmed:articleTitle |
Computerized extraction of coded findings from free-text radiologic reports. Work in progress.
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pubmed:affiliation |
Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City 84143.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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