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Semantic interoperability between health communication standards through formal ontologies.

Frank Oemig1, Bernd Blobel

  • 1Agfa HealthCare GmbH, D-53227 Bonn, Germany. Frank@Oemig.de

Studies in Health Technology and Informatics
|September 12, 2009
PubMed
Summary

This study develops ontologies to bridge gaps between Health Level Seven (HL7) communication standards, specifically HL7 versions 2.x and 3. It details mapping strategies and discusses challenges encountered during ontology development for improved interoperability.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Information Science

Background:

  • Health Level Seven (HL7) standards are crucial for healthcare data exchange.
  • Incompatible versions of HL7 (2.x and 3) create significant interoperability challenges.
  • Existing communication standards require robust methods for semantic reconciliation.

Purpose of the Study:

  • To analyze and resolve the semantic gap between different HL7 communication standards.
  • To develop a set of ontologies that accurately reflect concepts and relationships within HL7.
  • To provide a framework for bridging incompatible HL7 versions through ontology mapping.

Main Methods:

  • Development of domain-specific ontologies for HL7 versions 2.x and 3.
  • Introduction of a reference ontology to serve as a common semantic model.
  • Definition of mappings between the HL7 version ontologies and the reference ontology.
  • Analysis of challenges and proposed solutions during the ontology development lifecycle.

Main Results:

  • A set of ontologies was created, representing concepts and relationships in HL7 standards.
  • A reference ontology was established to facilitate semantic interoperability.
  • A mapping strategy was defined to bridge HL7 versions 2.x and 3 via the reference ontology.
  • Practical problems encountered during development and their resolutions were documented.

Conclusions:

  • Ontology development provides a viable approach to address HL7 interoperability issues.
  • A reference ontology with defined mappings effectively bridges semantic gaps between HL7 versions.
  • The study offers insights into the practicalities and challenges of creating semantic standards for healthcare communication.