LinkEHR-Ed: A multi-reference model archetype editor based on formal semantics

Abstract

Purpose. To develop a powerful archetype editing framework capable of handling multiple reference models and oriented towards the semantic description and standardization of legacy data.Methods. The main prerequisite for implementing tools providing enhanced support for archetypes is the clear specification of archetype semantics. We propose a formalization of the definition section of archetypes based on types over tree-structured data. It covers the specialization of archetypes, the relationship between reference models and archetypes and conformance of data instances to archetypes.Results. LinkEHR-Ed a visual archetype editor based on the former formalization with advanced processing capabilities that supports multiple reference models, the editing and semantic validation of archetypes, the specification of mappings to data sources, and the automatic generation of data transformation scripts.Conclusions. LinkEHR-Ed is a useful tool for building, processing and validating archetypes based on any reference model.

An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records

“…The LinkEHR platform The LinkEHR platform The LinkEHR Normalization Platform 4 is a set of tools and modules that allow: i) the creation of an archetypebased customizable view over a set of heterogeneous and distributed EHR data sources [8]; ii) the editing of archetypes based on different reference models (standards) as long as an XML Schema is available [13] (several reference models have been tested successfully: EN13606, openEHR, HL7 CDA, CDISC and CCR); and iii) the specification of declarative mappings between archetypes and data sources, and from these mappings, the automatic generation of XQuery scripts which translate source XML data into XML documents that are archetype compliant.…”

Analysis of the process of representing clinical statements for decision-support applications: a comparison of openEHR archetypes and HL7 virtual medical record

“…For this purpose, vMR modelers directly defined the instances using a commercial XML editor together with the vMR schema, while the openEHR modeler used the LinkEHR archetype editor [21], including its mapping functionalities, to specialize the selected archetypes and generate instances based on them. The generated representations (artifacts, according to design science methodology [22]) were saved as XML files, that were made accessible to the four authors through a cloud storage service.…”

“…Nevertheless, in most cases the archetypes were further specialized to fulfill the requirements of use cases by including additional elements and/or constraints. The LinkEHR editor [21] simplified this process.…”

Design and implementation of an archetype based interoperable knowledge eco-system for data buoys

“…An XML serialization of the O&M data model was produced. The LinkEHR editor [29] was used to constrain the information model further for the implementation. An ADL representation of the test archetype was produced, and stored within a simple archetype store.…”