Jove
Visualize
Contact Us

Related Experiment Videos

Using the IHE scheduled work flow integration profile to drive modality efficiency.

Stephen M Moore1

  • 1Electronic Radiology Laboratory, Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110, USA. moores@mir.wustl.edu

Radiographics : a Review Publication of the Radiological Society of North America, Inc
|March 18, 2003
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

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data.

Frontiers in neuroinformatics·2023
Same author

Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging.

Tomography (Ann Arbor, Mich.)·2023
Same author

Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2023
Same author

A Multisite Study of a Breast Density Deep Learning Model for Full-Field Digital Mammography and Synthetic Mammography.

Radiology. Artificial intelligence·2021
Same author

Effect of adverse environmental conditions and protective clothing on temperature rise in a human body exposed to radiofrequency electromagnetic fields.

Bioelectromagnetics·2017
Same author

De-identification of Medical Images with Retention of Scientific Research Value.

Radiographics : a review publication of the Radiological Society of North America, Inc·2015
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

The Integrating the Healthcare Enterprise (IHE) Scheduled Work Flow profile streamlines radiology by standardizing software and automating patient data entry. This enhances operational efficiency through improved communication and workflow management.

Area of Science:

  • Medical Informatics
  • Health IT Standards

Background:

  • Radiology departments face challenges in standardizing system software and managing workflows.
  • Inconsistent patient data entry across modalities can lead to errors and inefficiencies.

Purpose of the Study:

  • To describe the Integrating the Healthcare Enterprise (IHE) Scheduled Work Flow integration profile.
  • To highlight the benefits of standardizing radiology system software and improving workflow.

Main Methods:

  • The IHE technical framework defines systems and messages for the Scheduled Work Flow profile.
  • Key components include the Modality Worklist and transactions like Modality Procedure Step.
  • The framework specifies interactions between modalities, Image Managers, and Order Fillers.

Related Experiment Videos

Main Results:

  • The Modality Worklist automates patient identification and retrieves scheduled procedures.
  • Transactions like Modality Procedure Step in Progress and Completed track procedure status and image acquisition.
  • Standardization leads to immediate baseline functionality and potential for increased operational efficiency.

Conclusions:

  • The IHE Scheduled Work Flow profile offers significant benefits for radiology departments.
  • Adoption of this profile promotes system standardization and workflow automation.
  • Evaluating optional features can further enhance operational efficiency and user benefits.