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Integration of tools for binding archetypes to SNOMED CT
Erik Sundvall1, Rahil Qamar, Mikael Nyström
1Department of Biomedical Engineering, Linköping University, 581 85 Linköping, Sweden. erisu@imt.liu.se
BMC Medical Informatics and Decision Making
|November 26, 2008
Summary
This study introduces an open-source tool that simplifies the creation of terminology bindings for electronic healthcare records archetypes. It aids in achieving better interoperability between clinical systems using SNOMED CT.
Area of Science:
- Health Informatics
- Clinical Informatics
- Information Science
Background:
- Archetype formalism and Archetype Definition Language aim for ISO standard compliance in electronic healthcare records (EHRs).
- Achieving interoperability between diverse clinical systems is a key challenge in EHR implementation.
- This paper focuses on tools and methods for binding archetypes to terminology systems.
Purpose of the Study:
- To present an archetype editor supporting manual and semi-automatic creation of terminology bindings.
- To facilitate the integration of archetypes with terminology systems for enhanced EHR interoperability.
- To reduce the effort required for establishing terminology bindings in clinical informatics.
Main Methods:
- Application of lexical and semantic methods for automatic mapping suggestions.
- Utilization of information visualization techniques to aid user exploration and selection of mappings.
- Development of an integrated tool for archetype authoring and terminology binding assistance.
Main Results:
- An open-source integrated tool for archetype authoring was developed and released.
- The tool provides semi-automatic assistance for SNOMED CT terminology binding.
- Terminology visualization features are included to support the binding process.
Conclusions:
- The developed approach and tools can significantly reduce the effort in creating terminology bindings.
- The presented methods are general but demonstrated with SNOMED CT and openEHR reference model archetypes.
- Successful terminology binding is crucial for effective EHR interoperability and data standardization.
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