Journal:Using knowledge graph structures for semantic interoperability in electronic health records data exchanges
| Full article title | Using knowledge graph structures for semantic interoperability in electronic health records data exchanges |
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| Journal | Information |
| Author(s) | Sachdeva, Shelly; Bhalla, Subhash |
| Author affiliation(s) | National Institute of Technology Delhi, University of Aizu |
| Primary contact | Email: shellysachdeva at nitdelhi dot ac dot in |
| Year published | 2022 |
| Volume and issue | 13(2) |
| Article # | 52 |
| DOI | 10.3390/info13020052 |
| ISSN | 2078-2489 |
| Distribution license | Creative Commons Attribution 4.0 International |
| Website | https://www.mdpi.com/2078-2489/13/2/52/htm |
| Download | https://www.mdpi.com/2078-2489/13/2/52/pdf (PDF) |
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This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
Information sharing across medical institutions is restricted to information exchange between specific partners. The lifelong electronic health record (EHR) structure and content require standardization efforts. Existing standards such as openEHR, Health Level 7 (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 (OWL), Object Constraint Language (OCL), and Knowledge Interchange Format (KIF)—is evaluated as a part of the knowledge representation experiment. These examine the representation of archetypes as described by Archetype Definition Language (ADL). The evaluation maintains a clear focus on the syntactic and semantic transformations among different EHR standards.
Keywords: archetypes, electronic health records, dual-model approach, knowledge representation, EHR, XML, ADL, OWL, KIF
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This presentation is faithful to the original, with only a few minor changes to presentation, grammar, and punctuation. In some cases important information was missing from the references, and that information was added. The original references are in alphabetical order; this version places them in or order of appearance, by design.
