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

Radiology interpretation process modeling.

Rita Noumeir1

  • 1Ecole de Technologie Supérieure, 1100 Notre-Dame West, Montreal, Que., Canada H3C 1K3. noumeir@ele.etsmtl.ca

Journal of Biomedical Informatics
|September 17, 2005
PubMed
Summary

Healthcare process reengineering is needed for better patient care. This study models the radiology interpretation process to improve healthcare efficiency and quality.

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

When Kids Radiate: Low-Resolution Thermography for Total Energy Expenditure Estimation in Pediatric Patients - A Proof of Concept.

IEEE open journal of engineering in medicine and biology·2026
Same author

Transformer Meets Gated Residual Networks to Enhance PICU's PPG Artifact Detection Informed by Mutual Information Neural Estimation.

IEEE transactions on neural networks and learning systems·2026
Same author

PICU Face and Thoracoabdominal Detection Using Self-Supervised Divided Space-Time Mamba.

Life (Basel, Switzerland)·2025
Same author

Template-based respiratory monitoring and tidal volume estimation.

IEEE journal of biomedical and health informatics·2025
Same author

Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset.

IEEE journal of translational engineering in health and medicine·2025
Same author

Heart Rate and Body Temperature Relationship in Children Admitted to PICU: A Machine Learning Approach.

IEEE transactions on bio-medical engineering·2025

Area of Science:

  • Health Informatics
  • Medical Imaging Workflow Analysis
  • Clinical Process Modeling

Background:

  • Information and communication technology (ICT) in healthcare aims to optimize patient care, efficiency, and cost-effectiveness, but these benefits are not fully realized.
  • Significant analysis and redesign of healthcare processes are required to enhance care quality and productivity.
  • Modeling healthcare sub-processes is crucial for developing a comprehensive understanding of the entire healthcare workflow.

Purpose of the Study:

  • To model the specific sub-process of radiology interpretation within the broader healthcare workflow.
  • To define the boundaries and position the radiology interpretation process within the overall healthcare map.
  • To establish a foundation for improving the quality and efficiency of diagnostic radiology report generation.

Main Methods:

  • Identifying the boundaries of the radiology interpretation process.
  • Mapping the radiology interpretation process within the larger healthcare system.
  • Developing an information data model detailing roles, tasks, and information flows.
  • Describing standard frameworks for implementing radiology interpretation workflows across diverse systems.

Main Results:

  • A defined model for the radiology interpretation process, including its inputs, outputs, and key stages.
  • An identified information data model specifying necessary data elements for the workflow.
  • A framework for integrating radiology interpretation workflows with heterogeneous healthcare IT systems.

Conclusions:

  • Modeling sub-processes like radiology interpretation is a viable approach to understanding and improving complex healthcare workflows.
  • The proposed information data model and frameworks can facilitate the implementation of efficient and effective radiology interpretation systems.
  • This work contributes to the broader goal of achieving optimized patient care through advanced ICT in healthcare.

Related Experiment Videos