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

GELLO: an object-oriented query and expression language for clinical decision support.

Margarita Sordo1, Omolola Ogunyemi, Aziz A Boxwala

  • 1Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
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

A highly accurate risk factor-based XGBoost multiethnic model for identifying patients with skin cancer.

Nature communications·2025
Same author

Developing and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines.

Journal of the American Medical Informatics Association : JAMIA·2025
Same author

A Review of Racial Differences and Disparities in ECG.

International journal of environmental research and public health·2025
Same author

Leveraging large language models for academic conference organization.

NPJ digital medicine·2025
Same author

Assessing perceived effectiveness of career development efforts led by the women in American Medical Informatics Association Initiative.

Journal of the American Medical Informatics Association : JAMIA·2022
Same author

Don Lindberg's influence on future generations: The U.S. National Library of Medicine's biomedical informatics research training programs.

Information services & use·2022
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

GELLO is a new object-oriented query language designed for HL7 data. It aims to standardize data encoding and manipulation for the clinical decision support community.

Area of Science:

  • Computer Science
  • Health Informatics

Background:

  • The Health Level Seven (HL7) community requires standardized methods for data encoding and manipulation.
  • Existing data handling approaches may lack specificity or commonality.

Purpose of the Study:

  • Introduce GELLO, a purpose-specific, object-oriented query and expression language.
  • Facilitate a common format for data encoding and manipulation within the HL7 community.

Main Methods:

  • Development of GELLO as a purpose-specific, object-oriented language.
  • Collaboration between the Decision Systems Group (DSG) and HL7 Clinical Decision Support Technical Committee (CDSTC).

Main Results:

  • GELLO provides a unified approach to querying and expressing data.

Related Experiment Videos

  • The language is designed for HL7 data environments.

    • Conclusions:

    • GELLO is poised to become an HL7 standard for data management.
    • The language offers a standardized solution for clinical decision support data needs.