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Computerized extraction of coded findings from free-text radiologic reports. Work in progress.

P J Haug·D L Ranum·P R Frederick
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Abstract

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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Artificial IntelligenceDecision Support TechniquesDiagnosis, Computer-AssistedDocumentationExpert SystemsHospital Information SystemsHumansNatural Language ProcessingOnline SystemsRadiology Information SystemsJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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P J Haug, D L Ranum, P R Frederick. 1990. Computerized extraction of coded findings from free-text radiologic reports. Work in progress.. https://doi.org/10.1148/radiology.174.2.2404321

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