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

Radiology. 1990 Feb;174(2):543-8. doi: 10.1148/radiology.174.2.2404321.

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.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Artificial Intelligence*
  • Decision Support Techniques
  • Diagnosis, Computer-Assisted
  • Documentation
  • Expert Systems
  • Hospital Information Systems*
  • Humans
  • Natural Language Processing*
  • Online Systems
  • Radiology Information Systems*