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Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care
OBJECTIVES: To present the technical background and the development of a procedure that enriches the semantics of Health Level Seven version 2 (HL7v2) messages for software-intensive systems in telemedicine trauma care. METHODS: This study followed a multilevel model-driven approach for the developm...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korean Society of Medical Informatics
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756054/ https://www.ncbi.nlm.nih.gov/pubmed/26893947 http://dx.doi.org/10.4258/hir.2016.22.1.22 |
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author | Menezes, Pedro Monteiro Cook, Timothy Wayne Cavalini, Luciana Tricai |
author_facet | Menezes, Pedro Monteiro Cook, Timothy Wayne Cavalini, Luciana Tricai |
author_sort | Menezes, Pedro Monteiro |
collection | PubMed |
description | OBJECTIVES: To present the technical background and the development of a procedure that enriches the semantics of Health Level Seven version 2 (HL7v2) messages for software-intensive systems in telemedicine trauma care. METHODS: This study followed a multilevel model-driven approach for the development of semantically interoperable health information systems. The Pre-Hospital Trauma Life Support (PHTLS) ABCDE protocol was adopted as the use case. A prototype application embedded the semantics into an HL7v2 message as an eXtensible Markup Language (XML) file, which was validated against an XML schema that defines constraints on a common reference model. This message was exchanged with a second prototype application, developed on the Mirth middleware, which was also used to parse and validate both the original and the hybrid messages. RESULTS: Both versions of the data instance (one pure XML, one embedded in the HL7v2 message) were equally validated and the RDF-based semantics recovered by the receiving side of the prototype from the shared XML schema. CONCLUSIONS: This study demonstrated the semantic enrichment of HL7v2 messages for intensive-software telemedicine systems for trauma care, by validating components of extracts generated in various computing environments. The adoption of the method proposed in this study ensures the compliance of the HL7v2 standard in Semantic Web technologies. |
format | Online Article Text |
id | pubmed-4756054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Korean Society of Medical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-47560542016-02-18 Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care Menezes, Pedro Monteiro Cook, Timothy Wayne Cavalini, Luciana Tricai Healthc Inform Res Original Article OBJECTIVES: To present the technical background and the development of a procedure that enriches the semantics of Health Level Seven version 2 (HL7v2) messages for software-intensive systems in telemedicine trauma care. METHODS: This study followed a multilevel model-driven approach for the development of semantically interoperable health information systems. The Pre-Hospital Trauma Life Support (PHTLS) ABCDE protocol was adopted as the use case. A prototype application embedded the semantics into an HL7v2 message as an eXtensible Markup Language (XML) file, which was validated against an XML schema that defines constraints on a common reference model. This message was exchanged with a second prototype application, developed on the Mirth middleware, which was also used to parse and validate both the original and the hybrid messages. RESULTS: Both versions of the data instance (one pure XML, one embedded in the HL7v2 message) were equally validated and the RDF-based semantics recovered by the receiving side of the prototype from the shared XML schema. CONCLUSIONS: This study demonstrated the semantic enrichment of HL7v2 messages for intensive-software telemedicine systems for trauma care, by validating components of extracts generated in various computing environments. The adoption of the method proposed in this study ensures the compliance of the HL7v2 standard in Semantic Web technologies. Korean Society of Medical Informatics 2016-01 2016-01-31 /pmc/articles/PMC4756054/ /pubmed/26893947 http://dx.doi.org/10.4258/hir.2016.22.1.22 Text en © 2016 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Menezes, Pedro Monteiro Cook, Timothy Wayne Cavalini, Luciana Tricai Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care |
title | Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care |
title_full | Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care |
title_fullStr | Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care |
title_full_unstemmed | Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care |
title_short | Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care |
title_sort | convergence of health level seven version 2 messages to semantic web technologies for software-intensive systems in telemedicine trauma care |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4756054/ https://www.ncbi.nlm.nih.gov/pubmed/26893947 http://dx.doi.org/10.4258/hir.2016.22.1.22 |
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