Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computerized radiologic reporting with voice data-entry

B W Leeming, D Porter, J D Jackson

    Radiology
    |March 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    In-vivo analysis of Protec™ and β-glucan supplementation on innate immune performance and intestinal health of rainbow trout.

    Fish & shellfish immunology·2023
    Same author

    Gut Associated Lymphoid Tissue (GALT) primary cells and stable cell lines as predictive models for intestinal health in rainbow trout (<i>Oncorhynchus mykiss</i>).

    Frontiers in immunology·2022
    Same author

    Protocol of trans-Tasman feasibility randomised controlled trial of the Younger Women's Wellness After Breast Cancer (YWWACP) lifestyle intervention.

    Pilot and feasibility studies·2022
    Same author

    Immune responses to prebiotics in farmed salmonid fish: How transcriptomic approaches help interpret responses.

    Fish & shellfish immunology·2022
    Same author

    Risk of severe COVID-19 in patients with inflammatory rheumatic diseases treated with immunosuppressive therapy in Scotland.

    Scandinavian journal of rheumatology·2022
    Same author

    The implementation of a decision aid for women with early-stage breast cancer considering contralateral prophylactic mastectomy: A pilot study.

    Patient education and counseling·2021
    Same journal

    Erratum for: Prediction of Lobar Emphysema Progression with a CT-Based Foundational Model.

    Radiology·2026
    Same journal

    Erratum for: Associations of MRI-derived Paraspinal IMAT and LMM with Cardiometabolic Risk Factors: Results from a German Cohort.

    Radiology·2026
    Same journal

    Erratum for: Blue Rubber Bleb Nevus Syndrome.

    Radiology·2026
    Same journal

    Redefining the Clinical Role of MRI in Endometrial Cancer Staging.

    Radiology·2026
    Same journal

    To Ablate or Not to Ablate: The Colorectal Liver Metastasis Question.

    Radiology·2026
    Same journal

    The Limits of Radiologic Categorization in Pulmonary Nonsolid Nodules.

    Radiology·2026
    See all related articles

    Voice entry for radiologic reports is slower and less accurate than keyboard entry, requiring careful speech. Future advancements may make voice technology competitive with traditional methods.

    Area of Science:

    • Medical Informatics
    • Radiology

    Background:

    • Traditional keyboard entry is the standard for radiologic report documentation.
    • Voice recognition technology offers potential for hands-free data input in clinical settings.

    Purpose of the Study:

    • To evaluate the efficiency and accuracy of voice entry for radiologic reports compared to keyboard entry.

    Main Methods:

    • Comparative analysis of data entry times and error rates between voice and keyboard methods.
    • Assessment of the required user effort (speech clarity, patience) for voice entry.

    Main Results:

    • Voice entry for radiologic reports is significantly slower than keyboard entry.
    • High error rates necessitate careful speech and patience, impacting workflow.

    Related Experiment Videos

  • Current voice technology is not yet competitive with conventional keyboard methods.

    • Conclusions:

    • Voice entry for radiologic reports is currently less efficient and accurate than keyboard entry.
    • Significant improvements in speech recognition and user interface are needed for voice technology to become a viable alternative.