Integration of tools for binding archetypes to SNOMED CT

Abstract

Background: The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO standard for specifying models of components of electronic healthcare records as a means of achieving interoperability between clinical systems. This paper presents an archetype editor with support for manual or semi-automatic creation of bindings between archetypes and terminology systems.

Understanding requirements of clinical data standards for developing interoperable knowledge-based DSS: A case study

“…We must highlight that for leveraging conceptual fitness in automated ways, i.e. with less interventions from stakeholders, terminology bindings that link the clinical information models with vocabulary ontologies would be needed, as proposed in [30][31][32]. In that sense, both the HL7 and the openEHR archetypes could use tools (for example ArchMS [33]) that support searching the correct data item in the information model for defining mappings.…”

“…openEHR Sundvall [30] and Martínez-Costa [31][32][33] • The HL7 Virtual Medical Record [49] is an initiative developed by the HL7 Clinical Decision Support Working Group, which derives from mature academic research [50] and whose purpose is closest to our goal: to serve as a data model for EMR data used for KB-DSS purposes. A technology-neutral Domain Analysis Model (DAM V1) was released in September 2011 [51].…”

Semantic interoperability of controlled vocabularies in medicine: A case study of the International Statistical Classification of Diseases ‘Tuberculosis’ subset

“…However, there are significant technical difficulties reported in the literature regarding the implementation of healthcare applications for routinely use [13]. In the current specification of the Archetype Definition Language (ADL) specifications, binding openEHR or ISO 13606 archetypes to controlled vocabularies has been reported as a complex task [14], resulting in the adoption of extra layers of modelling (e.g., the openEHR templates) [15] or reduced performance in the persistence mechanisms of implementations [16].…”

Performance analysis and assessment of a tf-idf based archetype-SNOMED-CT binding algorithm

“…Binding to commonly understood SNOMED-CT terms facilitates common understanding between diverse EHR systems and so promotes semantic interoperability. Other benefits of annotating archetypes with external terminology have been discussed elsewhere [10] [2]. However, due to the large quantity of archetypes being created, purely manual annotation is not appropriate to obtain relevant and high quality bindings.…”