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Automatic radiologic reporting system using speech recognition.

T Matumoto, T A Iinuma, Y Tateno

    Medical Progress Through Technology
    |January 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a computer-assisted reporting system for radiologic images using speech recognition, significantly reducing reporting time for radiologists. The system streamlines the creation of imaging reports, enhancing efficiency in medical data management.

    Area of Science:

    • Medical Imaging
    • Speech Recognition Technology
    • Radiology Informatics

    Background:

    • Traditional radiograph reporting involves manual typing of dictated reports, which is time-consuming, especially for languages like Japanese.
    • Inefficiencies in current reporting methods can delay diagnostic processes and data compilation.

    Purpose of the Study:

    • To develop and evaluate a computer-assisted reporting system for radiologic images utilizing speech recognition.
    • To assess the system's efficiency in reducing report generation time and its potential applications in medical imaging.

    Main Methods:

    • Implementation of a reporting system integrating a speech recognizer (DP-200) and personal computers (PC-8801/PC-9801).
    • Development of application programs for liver scintigrams, bone scintigrams, and chest radiographs.

    Related Experiment Videos

  • Utilizing a conversational data entry method with predefined branching at a CRT display terminal.

    • Main Results:

    • The system demonstrated rapid report generation, with normal reports for liver or bone scintigrams completed in under one minute.
    • Abnormality reports took several minutes to generate, still representing a significant time saving.
    • The speech recognizer has a capacity to store 500 distinct words spoken by a radiologist.

    Conclusions:

    • The developed computer-assisted reporting system is effective for generating imaging reports efficiently.
    • The system holds potential for constructing databases for medical image interpretation and integrating with Picture Archiving and Communication Systems (PACS).
    • Speech recognition technology offers a viable solution to improve radiologic reporting workflows.