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

Do's and don'ts of installing a RIS.

J L Lehr1

  • 1Department of Radiology, University of Chicago School of Medicine, IL 60637.

Journal of Digital Imaging
|November 1, 1988
PubMed
Summary
This summary is machine-generated.

Acquiring a radiology information system (RIS) requires clear departmental goals and understanding current operations. This guide offers methods for vendor selection, proposal evaluation, and negotiation, including key do's and don'ts for successful RIS implementation.

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

Electrocardiogram trace paradoxically filtered by activation of an electrosurgical unit.

Journal of clinical monitoring·1998
Same author

Fractional changes in lung capillary blood volume and oxygen saturation during the cardiac cycle in rabbits.

Journal of applied physiology (Bethesda, Md. : 1985)·1997
Same author

Simulated internal defibrillation in humans using an anatomically realistic three-dimensional finite element model of the thorax.

Journal of cardiovascular electrophysiology·1997
Same author

Effect of macroscopic deformation on lung microstructure.

Journal of applied physiology (Bethesda, Md. : 1985)·1996
Same author

A three-dimensional finite element model of human transthoracic defibrillation: paddle placement and size.

IEEE transactions on bio-medical engineering·1995
Same author

Finite element models of thoracic conductive anatomy: sensitivity to changes in inhomogeneity and anisotropy.

IEEE transactions on bio-medical engineering·1994
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

Area of Science:

  • Radiology Informatics
  • Healthcare Information Systems
  • Medical Imaging Management

Background:

  • Radiology Information Systems (RIS) are crucial for modern radiology departments.
  • Efficient acquisition and implementation of RIS are vital for operational success.
  • Understanding manual workflows is a prerequisite for successful system integration.

Purpose of the Study:

  • To review critical issues in acquiring a Radiology Information System (RIS).
  • To provide a framework for selecting and implementing RIS effectively.
  • To guide radiology departments through the RIS acquisition process.

Main Methods:

  • Review of key considerations for RIS acquisition.
  • Emphasis on goal definition and analysis of manual operations.

Related Experiment Videos

  • Outline of proposal request, vendor evaluation, and negotiation strategies.

    • Main Results:

    • Defining departmental goals and understanding manual operations are paramount.
    • Systematic vendor proposal evaluation and negotiation are essential.
    • A structured approach increases the likelihood of successful RIS acquisition.

    Conclusions:

    • Successful RIS acquisition hinges on thorough planning and vendor management.
    • Adherence to best practices in selection and installation is critical.
    • The report provides actionable recommendations for radiology departments.