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

Problem-oriented prefetching for an integrated clinical imaging workstation.

A A Bui1, M F McNitt-Gray, J G Goldin

  • 1University of California at Los Angeles (UCLA), 90024, USA. buia@cs.ucla.edu

Journal of the American Medical Informatics Association : JAMIA
|April 26, 2001
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

Taladegib for the treatment of idiopathic pulmonary fibrosis (ENV-IPF-101): a multicentre, randomised, double-blind, placebo-controlled, phase 2a trial.

The Lancet. Respiratory medicine·2025
Same author

Intravenous stem cell dose and changes in quantitative lung fibrosis and DLCO in the AETHER trial: a pilot study.

European review for medical and pharmacological sciences·2019
Same author

Implementing lung cancer screening: the US experience.

Clinical radiology·2017
Same author

Variability in CT lung-nodule quantification: Effects of dose reduction and reconstruction methods on density and texture based features.

Medical physics·2016
Same author

Cyst-based measurements for assessing lymphangioleiomyomatosis in computed tomography.

Medical physics·2015
Same author

Varying kVp as a means of reducing CT breast dose to pediatric patients.

Physics in medicine and biology·2013
Same journal

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
See all related articles

This study introduces a problem-oriented prefetching system that uses multiple data sources to retrieve patient medical records. The system achieved high recall for identifying relevant patients but requires further refinement for precision.

Area of Science:

  • Medical Informatics
  • Radiology Information Systems
  • Clinical Data Management

Background:

  • Traditional prefetching methods facilitate timely access to archived medical images for patient management.
  • Integrating diverse clinical data sources is crucial for comprehensive patient records.

Purpose of the Study:

  • To develop and evaluate a problem-oriented prefetching scheme for retrieving multimedia patient data.
  • To enhance patient cohort selection and data retrieval by integrating multiple clinical information systems.

Main Methods:

  • A mechanism was developed to select patients for prefetching based on clinical problem characterizations.
  • Data was aggregated from Picture Archiving and Communication Systems (PACS), Hospital Information Systems (HIS), and Radiology Information Systems (RIS).

Related Experiment Videos

  • Patients were classified into cohorts based on medical conditions, and multimedia data (imaging, reports, labs) were prefetched.

    • Main Results:

    • The prefetching algorithm demonstrated high recall (100%), accurately identifying all patients within target cohorts.
    • The system exhibited lower precision (50%), indicating a need for improved data filtering.
    • Utilizing multiple data sources significantly improved recall compared to single-source retrieval due to enhanced patient descriptors.

    Conclusions:

    • A problem-oriented prefetching scheme effectively identifies relevant patient data using integrated clinical information.
    • Combining data from heterogeneous databases improves the specificity of medical problem and patient cohort definitions.
    • Further optimization is needed to enhance the precision of the prefetching system for clinical application.