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

ASTM E31.15 on health knowledge representation: the Arden Syntax.

G Hripcsak1, O B Wigertz, M G Kahn

  • 1Columbia-Presbyterian Medical Center, New York, NY, USA.

Studies in Health Technology and Informatics
|December 9, 1992
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

MAO inhibitory activity of bromo-2-phenylbenzofurans: synthesis, <i>in vitro</i> study, and docking calculations.

MedChemComm·2018
Same author

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms.

Journal of biomedical informatics·2018
Same author

Clinical Research Informatics for Big Data and Precision Medicine.

Yearbook of medical informatics·2016
Same author

Decision Support, Knowledge Representation and Management.

Yearbook of medical informatics·2016
Same author

Clinical workstations: An architectural prespective.

Yearbook of medical informatics·2016
Same author

The state of clinical information systems after four decades of effort.

Yearbook of medical informatics·2016
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

ASTM subcommittee E31.15 developed the Ardan Syntax for health knowledge bases. This standard, used clinically, focuses on Medical Logic Modules (MLMs) and is being extended for broader applications.

Area of Science:

  • Health Informatics
  • Medical Knowledge Representation
  • Standardization in Healthcare

Background:

  • The need for standardized methods to define and share health knowledge is critical for advancing clinical decision support.
  • ASTM subcommittee E31.15 was established to address the complexities of health knowledge representation.
  • Existing knowledge bases often lack interoperability, hindering efficient data sharing and application.

Purpose of the Study:

  • To introduce the Ardan Syntax, a standard for representing health knowledge bases as modular components.
  • To highlight the clinical adoption and industry/academic interest in the Ardan Syntax.
  • To outline future directions for extending the syntax and validating knowledge bases.

Main Methods:

  • Development of the Ardan Syntax, a standardized language for medical logic.

Related Experiment Videos

  • Focus on representing knowledge as independent Medical Logic Modules (MLMs).
  • Formation of task groups for syntax extension and knowledge base validation/verification.

    • Main Results:

    • The Ardan Syntax is currently in clinical use.
    • Significant interest has been generated within both academic and industrial sectors.
    • Ongoing efforts are underway to expand the syntax's capabilities and address validation challenges.

    Conclusions:

    • The Ardan Syntax provides a foundational standard for health knowledge representation.
    • Its modular approach using Medical Logic Modules facilitates sharing and application.
    • Future work will enhance the syntax's versatility and ensure the reliability of shared knowledge bases.