Facilitating the design of HL7 domain models through a model-driven solution

Background and goal: Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows defining health information system entities and their relations. However, wor...

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Detalles Bibliográficos
Autores: Olivero González, Miguel Ángel, Domínguez Mayo, Francisco José, Parra Calderón, Carlos Luis, Escalona Cuaresma, María José, Martínez García, Alicia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/105501
Acceso en línea:https://hdl.handle.net/11441/105501
https://doi.org/10.1186/s12911-020-1093-4
Access Level:acceso abierto
Palabra clave:UML
HL7
MDE
Domain models
Metamodel
MoDHE
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repository_id_str
spelling Facilitating the design of HL7 domain models through a model-driven solutionOlivero González, Miguel ÁngelDomínguez Mayo, Francisco JoséParra Calderón, Carlos LuisEscalona Cuaresma, María JoséMartínez García, AliciaUMLHL7MDEDomain modelsMetamodelMoDHEBackground and goal: Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows defining health information system entities and their relations. However, working with health system requires learning HL7 standards, that defines and manages standards related to health information systems. HL7 standards are varied, however this work focusses on v2 and v3 since these are the most used one on the area that this work is being conducted. This works aims to allow modeling HL7 standard by using UML. Methods: Several techniques based on the MDE (Model-Driven Engineering) paradigm have been used to cope with it. Results: A useful reference framework, reducing final users learning curve and allowing modeling maintainable and easy-going health information systems. Conclusions: By using this approach, a software engineer without any previous knowledge about HL7 would be able to solve the problem of modeling HL7-based health information systems. Reducing the learning curve when working in projects that need HL7 standards.Ministerio de Ciencia e Innovación TIN2016–76956-C3–2-RJunta de Andalucía PIN-0213–2016Universidad de Sevilla PI15/01213BMCLenguajes y Sistemas InformáticosTIC021: Ingeniería Web y Testing TempranoMinisterio de Ciencia e Innovación (MICIN). EspañaJunta de AndalucíaUniversidad de Sevilla2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/105501https://doi.org/10.1186/s12911-020-1093-4reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésBMC Medical Informatics and Decision Making, 20 (article number 96)TIN2016–76956-C3–2-RPIN-0213–2016PI15/01213https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-020-1093-4info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1055012026-06-17T12:51:07Z
dc.title.none.fl_str_mv Facilitating the design of HL7 domain models through a model-driven solution
title Facilitating the design of HL7 domain models through a model-driven solution
spellingShingle Facilitating the design of HL7 domain models through a model-driven solution
Olivero González, Miguel Ángel
UML
HL7
MDE
Domain models
Metamodel
MoDHE
title_short Facilitating the design of HL7 domain models through a model-driven solution
title_full Facilitating the design of HL7 domain models through a model-driven solution
title_fullStr Facilitating the design of HL7 domain models through a model-driven solution
title_full_unstemmed Facilitating the design of HL7 domain models through a model-driven solution
title_sort Facilitating the design of HL7 domain models through a model-driven solution
dc.creator.none.fl_str_mv Olivero González, Miguel Ángel
Domínguez Mayo, Francisco José
Parra Calderón, Carlos Luis
Escalona Cuaresma, María José
Martínez García, Alicia
author Olivero González, Miguel Ángel
author_facet Olivero González, Miguel Ángel
Domínguez Mayo, Francisco José
Parra Calderón, Carlos Luis
Escalona Cuaresma, María José
Martínez García, Alicia
author_role author
author2 Domínguez Mayo, Francisco José
Parra Calderón, Carlos Luis
Escalona Cuaresma, María José
Martínez García, Alicia
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Lenguajes y Sistemas Informáticos
TIC021: Ingeniería Web y Testing Temprano
Ministerio de Ciencia e Innovación (MICIN). España
Junta de Andalucía
Universidad de Sevilla
dc.subject.none.fl_str_mv UML
HL7
MDE
Domain models
Metamodel
MoDHE
topic UML
HL7
MDE
Domain models
Metamodel
MoDHE
description Background and goal: Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows defining health information system entities and their relations. However, working with health system requires learning HL7 standards, that defines and manages standards related to health information systems. HL7 standards are varied, however this work focusses on v2 and v3 since these are the most used one on the area that this work is being conducted. This works aims to allow modeling HL7 standard by using UML. Methods: Several techniques based on the MDE (Model-Driven Engineering) paradigm have been used to cope with it. Results: A useful reference framework, reducing final users learning curve and allowing modeling maintainable and easy-going health information systems. Conclusions: By using this approach, a software engineer without any previous knowledge about HL7 would be able to solve the problem of modeling HL7-based health information systems. Reducing the learning curve when working in projects that need HL7 standards.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/105501
https://doi.org/10.1186/s12911-020-1093-4
url https://hdl.handle.net/11441/105501
https://doi.org/10.1186/s12911-020-1093-4
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv BMC Medical Informatics and Decision Making, 20 (article number 96)
TIN2016–76956-C3–2-R
PIN-0213–2016
PI15/01213
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-020-1093-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv BMC
publisher.none.fl_str_mv BMC
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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