Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista EDICIC |
DOI: | 10.62758/re.v3i2.218 |
Texto Completo: | https://ojs.edicic.org/revistaedicic/article/view/218 |
Resumo: | It discusses how the context of the COVID-19 pandemic brought new challenges to the collection, processing and sharing of health data and the need for these data to be based on the Findable, Accessible, Interoperable, and Reusable principles. It aims to evaluate, among the different knowledge organization systems and vocabularies in the medical field, as well as the semantic representation schemes that treat clinical data originating from the Virus Outbreak Data Network Brasil project, as the components for representation of the Fast Healthcare Interoperability Resources standard can be used to incorporate improvements and align standards for use in the World Health Organization's COVID-19 semantic model. He cites the Virus Outbreak Data Network as an example of a project that collects and manages, through the World Health Organization's COVID-19 case registration form, data on COVID-19 in a manner aligned with Findable, Accessible, Interoperable, and Reusable principles. It talks about the World Health Organization's COVID-19 CRF Rapid Version semantic model used to standardize, in the semantic sense, the data collected. It discusses semantic interoperability and compatibility between information contexts and the Fast Healthcare Interoperability Resources standard and details its modules. It concludes that the Fast Healthcare Interoperability Resources Standard has greater detailed properties when compared to the World Health Organization's COVID-19 semantic model, that it is a standard with a more mature interoperability characteristic when compared to the Semantic Model, and the incorporation of its characteristics is recommended. |
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Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standardRepresentación semántica de datos clínicos en atención sanitaria: interoperabilidad con datos FAIR y el estándar FHIRRepresentação semântica de dados clínicos na área de saúde: interoperabilidade com dados FAIR e o padrão FHIRFast Healthcare Interoperabilty ResourcesInteroperabilidadRepresentación SemánticaDatos ClínicosPrincipios FAIRFast Healthcare Interoperabilty ResourcesInteroperabilidadeRepresentação SemânticaDados ClínicosPrincípios FAIRFast Healthcare Interoperability ResourcesInteroperabilitySemantic RepresentationClinical DataFAIR PrinciplesIt discusses how the context of the COVID-19 pandemic brought new challenges to the collection, processing and sharing of health data and the need for these data to be based on the Findable, Accessible, Interoperable, and Reusable principles. It aims to evaluate, among the different knowledge organization systems and vocabularies in the medical field, as well as the semantic representation schemes that treat clinical data originating from the Virus Outbreak Data Network Brasil project, as the components for representation of the Fast Healthcare Interoperability Resources standard can be used to incorporate improvements and align standards for use in the World Health Organization's COVID-19 semantic model. He cites the Virus Outbreak Data Network as an example of a project that collects and manages, through the World Health Organization's COVID-19 case registration form, data on COVID-19 in a manner aligned with Findable, Accessible, Interoperable, and Reusable principles. It talks about the World Health Organization's COVID-19 CRF Rapid Version semantic model used to standardize, in the semantic sense, the data collected. It discusses semantic interoperability and compatibility between information contexts and the Fast Healthcare Interoperability Resources standard and details its modules. It concludes that the Fast Healthcare Interoperability Resources Standard has greater detailed properties when compared to the World Health Organization's COVID-19 semantic model, that it is a standard with a more mature interoperability characteristic when compared to the Semantic Model, and the incorporation of its characteristics is recommended. Se analiza cómo el contexto de la pandemia de COVID-19 trajo nuevos desafíos a la recopilación, el procesamiento y el intercambio de datos de salud y la necesidad de que estos datos se basen en los principios Findable, Accessible, Interoperable, and Reusable. Tiene como objetivo evaluar, entre los diferentes sistemas de organización del conocimiento y vocabularios en el campo médico, así como los esquemas de representación semántica que tratan datos clínicos provenientes del proyecto Vírus Outbreak Data Network Brasil, como componentes para La representación del estándar Fast Healthcare Interoperabilty Resources se puede utilizar para incorporar mejoras y alinear los estándares para su uso en el modelo semántico COVID-19 de la Organización Mundial de la Salud. Cita la red Vírus Outbreak Data Network como ejemplo de un proyecto que recopila y gestiona, a través del formulario de registro de casos COVID-19 de la Organización Mundial de la Salud, datos sobre COVID-19 de una manera alineada con los principios Findable, Accessible, Interoperable, and Reusable. Se habla del modelo semántico World Health Organization's COVID-19 CRF Rapid Version utilizado para estandarizar, en el sentido semántico, los datos recopilados. Analiza la interoperabilidad semántica y la compatibilidad entre contextos de información y el estándar Fast Healthcare Interoperabilty Resources y detalla sus módulos. Se concluye que el estándar Fast Healthcare Interoperabilty Resources tiene propiedades de mayor detalle en comparación con el modelo semántico World Health Organization's COVID-19 y que es un estándar con una característica de interoperabilidad más madura en comparación con el modelo semántico y se recomienda la incorporación de sus características.Discorre sobre como o contexto da pandemia de COVID-19 trouxe novos desafios para âmbito da coleta, tratamento e compartilhamento de dados da área da saúde e sobre necessidade destes dados estarem baseados aos princípios Findable, Accessible, Interoperable, and Reusable. Objetiva avaliar, dentre os diferentes sistemas de organização do conhecimento e vocabulários da área médica, bem como os esquemas de representação semântica que tratam os dados clínicos originários do projeto Vírus Outbreak Data Network Brasil, como os componentes para representação do padrão Fast Healthcare Interoperabilty Resources podem ser utilizados para incorporação de melhorias e alinhamento de padrões no uso no modelo semântico World Health Organization's COVID-19. Cita a rede Vírus Outbreak Data Network como um exemplo de projeto que coleta e gerencia, através do formulário de registro de caso de COVID-19 da Organização Mundial de Saúde, os dados sobre a COVID-19 de forma alinhada aos princípios Findable, Accessible, Interoperable, and Reusable. Fala sobre o modelo semântico World Health Organization's COVID-19 CRF Rapid Version utilizado para a padronização, no sentido semântico, dos dados coletados. Discorre sobre a interoperabilidade semântica e compatibilidade entre contextos de informação e sobre Padrão Fast Healthcare Interoperabilty Resources e detalha seus módulos. Conclui que o Padrão Fast Healthcare Interoperabilty Resources possui um maior detalhamento das propriedades, quando comparado ao modelo semântico World Health Organization's COVID-19 e que é um padrão com a característica de interoperabilidade mais madura, quando comparado ao modelo semântico e recomenda-se a incorporação de suas características.Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe2023-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch PaperArtículo de InvestigaciónArtigo de Pesquisaapplication/pdfhttps://ojs.edicic.org/revistaedicic/article/view/21810.62758/re.v3i2.218Revista EDICIC; Vol. 3 No. 2 (2023): Special Issue: Epistemology and research applied to society's information needs; 1-21Revista EDICIC; Vol. 3 Núm. 2 (2023): Número Especial: Epistemología e investigación aplicadas a las necesidades de información de la sociedad; 1-21Revista EDICIC; v. 3 n. 2 (2023): Número Especial: Epistemologia e pesquisa aplicada às necessidades de informação da sociedade; 1-212236-575310.62758/re.v3i2reponame:Revista EDICICinstname:Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe (EDICIC)instacron:EDICICporhttps://ojs.edicic.org/revistaedicic/article/view/218/233Derechos de autor 2023 Revista EDICIChttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMatos, Elesbão Oliveira deRibeiro, Cláudio José Silva2024-04-26T11:27:46Zoai:ojs.pkp.sfu.ca:article/218Revistahttp://ojs.edicic.org/index.php/revistaedicicPRIhttp://ojs.edicic.org/index.php/revistaedicic/oaiedicic@edicic.org2236-57532236-5753opendoar:2024-04-26T11:27:46Revista EDICIC - Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe (EDICIC)false |
dc.title.none.fl_str_mv |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard Representación semántica de datos clínicos en atención sanitaria: interoperabilidad con datos FAIR y el estándar FHIR Representação semântica de dados clínicos na área de saúde: interoperabilidade com dados FAIR e o padrão FHIR |
title |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard |
spellingShingle |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard Matos, Elesbão Oliveira de Fast Healthcare Interoperabilty Resources Interoperabilidad Representación Semántica Datos Clínicos Principios FAIR Fast Healthcare Interoperabilty Resources Interoperabilidade Representação Semântica Dados Clínicos Princípios FAIR Fast Healthcare Interoperability Resources Interoperability Semantic Representation Clinical Data FAIR Principles Matos, Elesbão Oliveira de Fast Healthcare Interoperabilty Resources Interoperabilidad Representación Semántica Datos Clínicos Principios FAIR Fast Healthcare Interoperabilty Resources Interoperabilidade Representação Semântica Dados Clínicos Princípios FAIR Fast Healthcare Interoperability Resources Interoperability Semantic Representation Clinical Data FAIR Principles |
title_short |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard |
title_full |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard |
title_fullStr |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard |
title_full_unstemmed |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard |
title_sort |
Semantic representation of clinical data in healthcare: interoperability with FAIR data and the FHIR standard |
author |
Matos, Elesbão Oliveira de |
author_facet |
Matos, Elesbão Oliveira de Matos, Elesbão Oliveira de Ribeiro, Cláudio José Silva Ribeiro, Cláudio José Silva |
author_role |
author |
author2 |
Ribeiro, Cláudio José Silva |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Matos, Elesbão Oliveira de Ribeiro, Cláudio José Silva |
dc.subject.por.fl_str_mv |
Fast Healthcare Interoperabilty Resources Interoperabilidad Representación Semántica Datos Clínicos Principios FAIR Fast Healthcare Interoperabilty Resources Interoperabilidade Representação Semântica Dados Clínicos Princípios FAIR Fast Healthcare Interoperability Resources Interoperability Semantic Representation Clinical Data FAIR Principles |
topic |
Fast Healthcare Interoperabilty Resources Interoperabilidad Representación Semántica Datos Clínicos Principios FAIR Fast Healthcare Interoperabilty Resources Interoperabilidade Representação Semântica Dados Clínicos Princípios FAIR Fast Healthcare Interoperability Resources Interoperability Semantic Representation Clinical Data FAIR Principles |
description |
It discusses how the context of the COVID-19 pandemic brought new challenges to the collection, processing and sharing of health data and the need for these data to be based on the Findable, Accessible, Interoperable, and Reusable principles. It aims to evaluate, among the different knowledge organization systems and vocabularies in the medical field, as well as the semantic representation schemes that treat clinical data originating from the Virus Outbreak Data Network Brasil project, as the components for representation of the Fast Healthcare Interoperability Resources standard can be used to incorporate improvements and align standards for use in the World Health Organization's COVID-19 semantic model. He cites the Virus Outbreak Data Network as an example of a project that collects and manages, through the World Health Organization's COVID-19 case registration form, data on COVID-19 in a manner aligned with Findable, Accessible, Interoperable, and Reusable principles. It talks about the World Health Organization's COVID-19 CRF Rapid Version semantic model used to standardize, in the semantic sense, the data collected. It discusses semantic interoperability and compatibility between information contexts and the Fast Healthcare Interoperability Resources standard and details its modules. It concludes that the Fast Healthcare Interoperability Resources Standard has greater detailed properties when compared to the World Health Organization's COVID-19 semantic model, that it is a standard with a more mature interoperability characteristic when compared to the Semantic Model, and the incorporation of its characteristics is recommended. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-21 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Research Paper Artículo de Investigación Artigo de Pesquisa |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.edicic.org/revistaedicic/article/view/218 10.62758/re.v3i2.218 |
url |
https://ojs.edicic.org/revistaedicic/article/view/218 |
identifier_str_mv |
10.62758/re.v3i2.218 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ojs.edicic.org/revistaedicic/article/view/218/233 |
dc.rights.driver.fl_str_mv |
Derechos de autor 2023 Revista EDICIC https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2023 Revista EDICIC https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe |
publisher.none.fl_str_mv |
Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe |
dc.source.none.fl_str_mv |
Revista EDICIC; Vol. 3 No. 2 (2023): Special Issue: Epistemology and research applied to society's information needs; 1-21 Revista EDICIC; Vol. 3 Núm. 2 (2023): Número Especial: Epistemología e investigación aplicadas a las necesidades de información de la sociedad; 1-21 Revista EDICIC; v. 3 n. 2 (2023): Número Especial: Epistemologia e pesquisa aplicada às necessidades de informação da sociedade; 1-21 2236-5753 10.62758/re.v3i2 reponame:Revista EDICIC instname:Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe (EDICIC) instacron:EDICIC |
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Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe (EDICIC) |
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EDICIC |
institution |
EDICIC |
reponame_str |
Revista EDICIC |
collection |
Revista EDICIC |
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Revista EDICIC - Asociación de Educación e Investigación en Ciencia de la Información de Iberoamérica y el Caribe (EDICIC) |
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edicic@edicic.org |
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1822180712803991552 |
dc.identifier.doi.none.fl_str_mv |
10.62758/re.v3i2.218 |