From Healthcare Messaging Standard to Semantic Web Service Description: Generating WSMO Annotation from HL7 with Mapping-Based Approach

Nie, Hongchao; Li, Shasha; Lü, Xudong; Duan, Huilong

doi:10.1109/scc.2013.74

Cited by 4 publications

(5 citation statements)

References 14 publications

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“…(xii) Discussed a mapping-based approach to generate Web Service Modeling Ontology (WSMO) description from HL7 (Health Level 7) V3 specification where Messaging Modeling Ontology (MMO) is mapped with WSMO [90].…”

Section: Information Managementmentioning

confidence: 99%

“…(xix) Researchers used SPA to detect illness and connect to the most excellent specialist. Besides, they recounted a schema representing a database query enabling doctors to pick and determine the most suitable EHR and patient data in healthcare scenarios [90].…”

Section: Information Managementmentioning

confidence: 99%

“…(vi) e literature is yet to find ways to complete the WSMO generator from HL7 with a user interface [90].…”

Section: Information Managementmentioning

confidence: 99%

“…(ii) What procedures must be followed in order to extract attributes from the data that are gathered from different audio-visual web systems [81]? (iii) Is it possible to improve the performance of the Web Service Modeling Ontology generator with a modified user interface [90]? (iv) Will the RDF ontology be able to replace web crawlers in terms of retrieving required data from the web [80]?…”

Section: Information Managementmentioning

confidence: 99%

“…Evaluating the system's performance is necessary to get the actual results. A Health Level 7 (HL7) messaging mechanism has been developed for mapping the generated Web Service Modeling Ontology [ 90 ]. However, there were some issues regarding the heterogeneity problem.…”

Section: Analysis Of the Selected Articles: Thematic Areasmentioning

confidence: 99%

See 4 more Smart Citations

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Haque

Arifuzzaman

Siddik

et al. 2022

International Journal of Clinical Practice

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Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge in reaching this ambitious goal is letting the information exchange across heterogeneous sources and methods as well as establishing efficient tools and techniques. Semantic Web (SW) technology can help to tackle these problems. They can enhance knowledge exchange, information management, data interoperability, and decision support in healthcare systems. They can also be utilized to create various e-healthcare systems that aid medical practitioners in making decisions and provide patients with crucial medical information and automated hospital services. This systematic literature review (SLR) on SW in healthcare systems aims to assess and critique previous findings while adhering to appropriate research procedures. We looked at 65 papers and came up with five themes: e-service, disease, information management, frontier technology, and regulatory conditions. In each thematic research area, we presented the contributions of previous literature. We emphasized the topic by responding to five specific research questions. We have finished the SLR study by identifying research gaps and establishing future research goals that will help to minimize the difficulty of adopting SW in healthcare systems and provide new approaches for SW-based medical systems’ progress.

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Section: Information Managementmentioning

confidence: 99%

Section: Information Managementmentioning

confidence: 99%

“…(vi) e literature is yet to find ways to complete the WSMO generator from HL7 with a user interface [90].…”

Section: Information Managementmentioning

confidence: 99%

Section: Information Managementmentioning

confidence: 99%

Section: Analysis Of the Selected Articles: Thematic Areasmentioning

confidence: 99%

See 3 more Smart Citations

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Haque

Arifuzzaman

Siddik

et al. 2022

International Journal of Clinical Practice

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Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art

Fellmann

2017

Business Information Systems

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Future Networked Healthcare Systems

Mehmood

Faisal

Altowaijri

2015

Advances in Web Technologies and Engineering

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Future healthcare systems and organizations demand huge computational resources, and the ability for the applications to interact and communicate with each other, within and across organizational boundaries. This chapter aims to explore state-of-the-art of the healthcare landscape and presents an analysis of networked healthcare systems with a focus on networking traffic and architectures. To this end, the relevant technologies including networked healthcare architectures and performance studies, Health Level 7 (HL7), big data, and cloud computing, are reviewed. Subsequently, a study of healthcare systems, applications and traffic over local, metro, and wide area networks is presented using multi-hospital cross-continent scenarios. The network architectures for these systems are described. A detailed study to explore quality of service (QoS) performance for these healthcare systems with a range of applications, system sizes, and network sizes is presented. Conclusions are drawn regarding future healthcare systems and internet designs along with directions for future research.

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From Healthcare Messaging Standard to Semantic Web Service Description: Generating WSMO Annotation from HL7 with Mapping-Based Approach

Cited by 4 publications

References 14 publications

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues

Towards Automated Process Model Annotation with Activity Taxonomies: Use Cases and State of the Art

Future Networked Healthcare Systems

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