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

Radtracker: a web-based open-source issue tracking tool.

Paul Nagy1, Max Warnock, Mark Daly

  • 1Medical College of Wisconsin, Milwaukee 53226, USA. pnagy@mcw.edu

Journal of Digital Imaging
|July 10, 2002
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

Common data elements for maternal health research: Expert consensus emerging from a modified Delphi study.

Pregnancy (Hoboken, N.J.)·2026
Same author

Altered neurodevelopmental trajectories of brain structure in Tourette syndrome and Chronic Tic Disorders.

medRxiv : the preprint server for health sciences·2026
Same author

Semaglutide and Neovascular Age-Related Macular Degeneration Among Adults with Type 2 Diabetes: An OHDSI Network Study.

Ophthalmology·2026
Same author

Genome-wide meta-analysis identifies genetic drivers of bile acid metabolism in intrahepatic cholestasis of pregnancy.

Nature communications·2026
Same author

Genetic variants affect diurnal glucose levels throughout the day.

Nature communications·2026
Same author

Genomic analyses implicate hormonal and metabolic dysregulation in polycystic ovary syndrome.

Nature genetics·2026
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imaging·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imaging·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Journal of digital imaging·2023
See all related articles

Radiology departments can now optimize technical support for complex information systems, including radiology information systems (RIS) and picture archiving and communication systems (PACS), through a novel web-based solution.

Area of Science:

  • Medical Informatics
  • Radiology Information Systems
  • Healthcare Technology Management

Background:

  • Radiology departments manage numerous complex information systems, such as dictation, RIS, PACS, and teleradiology solutions.
  • Limited departmental resources pose significant challenges for providing effective technical support.
  • Key support challenges include responding to critical failures, building system knowledge bases, and ensuring clear user communication.

Purpose of the Study:

  • To develop and evaluate a web-based support method to address the challenges of technical support in radiology departments.
  • To formalize the response mechanism for information system issues.
  • To optimize the utilization of limited technical support resources.

Main Methods:

  • A web-based support system was developed allowing users to submit issues with categorized problem descriptions.

Related Experiment Videos

  • Support personnel subscribe to categories based on their qualifications.
  • High-priority issues trigger automatic alphanumeric pager alerts.
  • The system includes search capabilities for resolved and unresolved problems.
  • Automated email notifications keep users informed of issue status and actions taken.
  • Main Results:

    • The web-based system formalizes issue response and facilitates efficient resource allocation.
    • Categorization and subscription ensure qualified personnel address specific system problems.
    • Automated alerts and email notifications improve response times and user communication.
    • The system provides a searchable knowledge base of past issues and resolutions.

    Conclusions:

    • The developed web-based support method effectively addresses the challenges of supporting diverse information systems in radiology.
    • This approach pools limited resources and formalizes response mechanisms for optimal user support.
    • Implementation can lead to improved efficiency and user satisfaction in radiology IT support.