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

Using knowledge rules for pharmacy mapping.

Shaun C Shakib1, Chengjian Che, Lee Min Lau

  • 13M Health Information Systems, Murray, Utah, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
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 domain analysis model for eIRB systems: addressing the weak link in clinical research informatics.

Journal of biomedical informatics·2014
Same author

Standardized mapping of nursing assessments across 59 U.S. military treatment facilities.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2013
Same author

Collaborative authoring of biomedical terminologies using a semantic Wiki.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2010
Same author

Practical issues in using SNOMED CT as a reference terminology.

Studies in health technology and informatics·2007
Same author

A text matching method to facilitate the validation of frequent order sets obtained through data mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2007
Same author

Mapping Department of Defense laboratory results to Logical Observation Identifiers Names and Codes (LOINC).

AMIA ... Annual Symposium proceedings. AMIA Symposium·2006
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

The Healthcare Data Dictionary (HDD) improves medication data in electronic health records (EHRs) by mapping diverse data to a single vocabulary. Implementing knowledge rules in a pharmacy tool boosted mapping rates by 29%.

Area of Science:

  • Health Informatics
  • Medical Data Management
  • Semantic Interoperability

Background:

  • The Department of Defense's (DoD) Armed Forces Health Longitudinal Technology Application (AHLTA) utilizes the 3M Health Information Systems (HIS) Healthcare Data Dictionary (HDD) for patient medication data.
  • Disparate medication master files from 100 DoD sites worldwide require mapping to a unified vocabulary for semantic interoperability within the Electronic Health Record (EHR).

Purpose of the Study:

  • To enhance automation in mapping medication data.
  • To achieve semantic interoperability across diverse DoD health information systems.
  • To improve the consistency and efficiency of medication data management.

Main Methods:

  • Healthcare Data Dictionary (HDD) Subject Matter Experts (SMEs) mapped standalone medication master files to a single, concept-based vocabulary.

Related Experiment Videos

  • Development and implementation of a growing set of knowledge rules within a pharmacy mapping tool.
  • Automation of the mapping process using defined knowledge rules.

    • Main Results:

    • The pharmacy mapping tool, incorporating knowledge rules, enhanced data consistency through automation.
    • The mapping rate for medication data was increased by 29% after implementing the automated tool.
    • Improved semantic interoperability was achieved by standardizing medication data.

    Conclusions:

    • Automated knowledge rules significantly improve the efficiency and consistency of medication data mapping in EHR systems.
    • The implemented pharmacy mapping tool demonstrates a successful strategy for achieving semantic interoperability in large healthcare networks.
    • The Healthcare Data Dictionary (HDD) plays a crucial role in standardizing health information for better data management and clinical decision-making.