Use of XML Schema Definition for the Development of Semantically Interoperable Healthcare Applications

Cavalini, Luciana Tricai; Cook, Timothy Wayne

doi:10.1007/978-3-642-53956-5_9

Cited by 10 publications

(12 citation statements)

References 19 publications

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“…Since CCDs are constraints of the generic RM, they are fully transportable across all MLHIM based applications. So any instance data created according to a CCD will always be interpreted correctly [17].…”

Section: Methodsmentioning

confidence: 99%

“…The minimalist approach of multilevel modelling in MLHIM removes much of the complexity of the openEHR approach by eliminating the semantic of EHRs while at the same time providing a more generally useful model. The MLHIM approach specifies domain models that can be bound to subsets of controlled vocabularies, achieving semantic validity across healthcare applications of any size that persist or exchange data according to the MLHIM Reference Model via the correspondent domain model [17].…”

Section: Introductionmentioning

confidence: 99%

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

Cavalini

Cook

2015

Computers in Industry

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Cavalini

Cook

2015

Computers in Industry

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“…The XML-based MMD approach is proven effective to provide semantic interoperability [15], but implementations are needed to increase its uptake. This study has the objective to demonstrate the implementation of a controlled vocabulary and the semantic validation of its data extracts according to this technology.…”

Section: Introductionmentioning

confidence: 99%

“…In order to provide a sustainable solution for semantic interoperability, the concept of multilevel model-driven (MMD) approach introduced in the late 20th century by the openEHR Foundation [14] has been adapted for compliance with Semantic Web technologies and the Internet of Things by the implementation of the MMD principles in XML technologies [15].…”

Section: Introductionmentioning

confidence: 99%

Knowledge Management of Controlled Vocabularies for Semantic Interoperability of Healthcare Applications

Nogueira

Ahiadzro

Cavalini

et al. 2015

2015 International Conference on Healthcare Informatics

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Controlled vocabularies such as terminologies and ontologies are regarded as a solution to the achievement of semantic interoperability across healthcare applications. This is yet to be attained. The semantics of current healthcare applications are directly in the source code and database structure and therefore cannot be readily shared. The multilevel model-driven approach is a method to produce semantically interoperable healthcare applications by providing sharable concept models. At this point, the methodology is proven, but implementations are still required. This study presents the fundamentals of knowledge modeling of controlled vocabularies for a XML-based multilevel model specification. The term subset 'Tuberculosis' of the 10th Revision of the International Classification of Diseases (ICD-10) is modeled as constraints to the XML Schema that defines the Reference Model. The Brazilian Mortality and Hospital Information Systems provided sample data for demonstration. The demonstration of the semantic validation of the XML data instances that include the ICD-10 'Tuberculosis' term set, converted to the multilevel model generated, is presented.

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“…This insures that all DM concept expressions can be interpreted in the context of the RM. Thus, a combination of XML and MMD technologies could provide full semantic interoperability for an HIS and its compliance to the emerging Semantic Web and the Internet of Things [ 12 ]. Given the current scenario of the HIS industry worldwide, it is desirable to combine the ubiquitous HL7v2 infrastructure with the emerging Semantic Web technologies, specifically XML syntactic processing with concept semantics expressed in Resource Description Framework (RDF) structures.…”

Section: Introductionmentioning

confidence: 99%

Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care

2016

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ObjectivesTo 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.MethodsThis 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.ResultsBoth 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.ConclusionsThis 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.

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Use of XML Schema Definition for the Development of Semantically Interoperable Healthcare Applications

Cited by 10 publications

References 19 publications

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

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

Knowledge Management of Controlled Vocabularies for Semantic Interoperability of Healthcare Applications

Convergence of Health Level Seven Version 2 Messages to Semantic Web Technologies for Software-Intensive Systems in Telemedicine Trauma Care

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