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

Immediate pathologic confirmation of radiologic interpretations by computer feedback.

R A Greenes, R A Bauman, S J Robboy

    Radiology
    |May 1, 1978
    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

    The IMIA History Working Group: Inception through the IMIA History Taskforce, and Major Events Leading Up to the 50th Anniversary of IMIA.

    Yearbook of medical informatics·2017
    Same author

    Constructing Workstation Applications: Component Integration Strategies for a Changing Health-Care System.

    Yearbook of medical informatics·2016
    Same author

    The Harvard-MIT-NEMC Research Training Program in Medical Informatics.

    Yearbook of medical informatics·2016
    Same author

    Biomedical informatics in the desert--a new and unique program at Arizona State University.

    Yearbook of medical informatics·2008
    Same author

    Dynamic behavioural interpretation of cervical intraepithelial neoplasia with molecular biomarkers.

    Journal of clinical pathology·2006
    Same author

    Birth weight and breast cancer risk.

    British journal of cancer·2006
    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

    This study introduces an automated computer system for daily pathology diagnostic feedback to radiologists, enhancing diagnostic accuracy. The system links pathology and radiology data for improved clinical information retrieval.

    Area of Science:

    • Medical Informatics
    • Radiology
    • Pathology

    Background:

    • Radiologists require timely and accurate diagnostic information for patient care.
    • Integrating pathology and radiology data presents a significant challenge in healthcare systems.

    Purpose of the Study:

    • To develop and implement an automated system for providing daily pathology diagnostic feedback to radiologists.
    • To enhance the efficiency of information retrieval through on-line inquiry capabilities.

    Main Methods:

    • Implementation of a computer system linking pathology specimen accession management and radiology examination scheduling.
    • Daily automated feedback generation for surgical specimens with corresponding radiologic examinations.

    Main Results:

    Related Experiment Videos

    • The system provides daily pathology diagnostic feedback to radiologists.
    • On-line inquiry capability is available for accessing information.
    • Successful linkage between pathology and radiology computer systems was achieved.

    Conclusions:

    • An automated system can effectively deliver pathology diagnostic feedback to radiologists.
    • Integration of disparate hospital computer systems is feasible for improved clinical workflow.
    • This approach enhances the accessibility and utility of diagnostic information for radiologists.