Abstract
Information sharing across medical institutions is restricted to information exchange between specific partners. The lifelong electronic health records (EHR) structure and content require standardization efforts. The existing standards such as openEHR, HL7, and CEN TC251 EN 13606 (Technical committee on Health Informatics of the European Committee for Standardization) aim to achieve data independence along with semantic interoperability. This study aims to discover knowledge representation to achieve semantic health data exchange. OpenEHR and CEN TC251 EN 13606 use archetype-based technology for semantic interoperability. The HL7 Clinical Document Architecture is on its way to adopting this through HL7 templates. Archetypes are the basis for knowledge-based systems as these are means to define clinical knowledge. The paper examines a set of formalisms for the suitability of describing, representing, and reasoning about archetypes. Each of the information exchange technologies such as XML, Web Ontology Language, Object Constraint Language, and Knowledge Interchange Format is evaluated as a part of the knowledge representation experiment. These examine the representation of Archetypes as described by Archetype Definition Language. The evaluation maintains a clear focus on the syntactic and semantic transformations among different EHR standards.
Highlights
IntroductionHealth care is a continuously evolving domain
Received: 30 November 2021Health care is a continuously evolving domain
It examines whether currently available archetype languages provide direct support for mapping to formal ontologies and exploiting reasoning on clinical knowledge, which are critical ingredients of full semantic interoperability
Summary
Health care is a continuously evolving domain. New findings of diseases and clinical treatments are continuously being made. It has raised the need for increased information exchange among various medical institutions. Electronic Health Records (EHRs) contain the medical history and treatments of the patients. The information and knowledge are stored together. Among the existing interoperability approaches for the EHRs, the dual-model approach [1] seems to be most promising. It consists of an information layer and a knowledge layer. The key feature of this approach is the segregation of knowledge (represented as Archetypes [2])
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