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

Effective computing with clusters.

J W London

    Computers in Healthcare
    |July 8, 1988
    PubMed
    Summary
    This summary is machine-generated.

    Fox Chase Cancer Center uses a cluster concept for networking to prevent redundant computing and data loss. This approach facilitates efficient transfer of clinical and research data.

    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

    Overview of the Internet and prostate cancer resources.

    Seminars in urologic oncology·2000
    Same author

    The implementation of telemedicine within a community cancer network.

    Journal of the American Medical Informatics Association : JAMIA·1997
    Same author

    Integration of a European image processing component with an American HIS: the advantage of open standards.

    Computer methods and programs in biomedicine·1995
    Same author

    Cost effective Internet access and video conferencing for a community cancer network.

    Proceedings. Symposium on Computer Applications in Medical Care·1995
    Same author

    Integration of HIS components through open standards: an American HIS and a European Image Processing System.

    Proceedings. Symposium on Computer Applications in Medical Care·1993
    Same author

    A network scanner image management station.

    Journal of digital imaging·1992

    Area of Science:

    • Biomedical Informatics
    • Computer Science
    • Cancer Research

    Background:

    • Inefficiencies in traditional computing networks can lead to data redundancy and wasted processing time.
    • Effective data transfer is crucial for both clinical care and research in cancer centers.

    Purpose of the Study:

    • To implement a networking strategy that minimizes redundancy and computing time.
    • To enhance the ease of transferring clinical and research data within a cancer center.

    Main Methods:

    • Adoption of the 'cluster concept' for network infrastructure.
    • Implementation of a system designed for efficient data handling.

    Main Results:

    • Reduced redundancy in computing resources.

    Related Experiment Videos

  • Minimized loss of computing time.
  • Streamlined transfer of clinical and research data.
  • Conclusions:

    • The cluster concept networking model effectively addresses issues of redundancy and computing time.
    • This networking approach facilitates seamless data transfer, supporting cancer research and clinical operations.