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Related Experiment Videos

A natural language understanding system combining syntactic and semantic techniques

P Haug1, S Koehler, L M Lau

  • 1Department of Medical Informatics, LDS Hospital, Primary Children's Medical Center, Salt Lake City, Utah.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1994
PubMed
Summary

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Computerized medical records contain valuable free text reports. Natural language understanding systems (NLUS) can unlock this data for research and decision support by parsing chest radiograph reports.

Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Clinical Data Management

Background:

  • A significant portion of medical records exists as unstructured free text.
  • This free text data is largely inaccessible for automated analysis, hindering clinical decision support and research.
  • Computerized medical information systems improve accessibility but not analytical usability of free text reports.

Purpose of the Study:

  • To develop and evaluate a Natural Language Understanding System (NLUS) for processing free text chest radiograph reports.
  • To extract and structure clinical data from radiograph reports for database storage.
  • To enhance the utility of free text medical data for automated applications.

Main Methods:

  • Development of an experimental Natural Language Understanding System (NLUS).

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  • The NLUS is designed to parse free text reports from chest radiographs.
  • Extracted clinical data is stored in a structured medical database.

    • Main Results:

    • The experimental NLUS successfully parsed chest radiograph reports.
    • Clinical data was effectively extracted and stored in a database.
    • Demonstrated the feasibility of encoding free text radiology reports.

    Conclusions:

    • Natural Language Understanding Systems offer a viable method for accessing unstructured clinical data.
    • Automated parsing of chest radiograph reports can make valuable information available for research and decision support.
    • This approach can significantly improve the usability of data within computerized medical information systems.