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OpenEHR modeling: improving clinical records during the COVID-19 pandemic
The COVID-19 pandemic had put pressure on various national healthcare systems, due to the lack of health professionals and exhaustion of those avaliable, as well as lack of interoperability and inability to restructure their IT systems. Therefore, the restructuring of institutions at all levels is e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093592/ https://www.ncbi.nlm.nih.gov/pubmed/33968598 http://dx.doi.org/10.1007/s12553-021-00556-4 |
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author | Oliveira, Daniela Miranda, Rui Leuschner, Pedro Abreu, Nuno Santos, Manuel Filipe Abelha, Antonio Machado, José |
author_facet | Oliveira, Daniela Miranda, Rui Leuschner, Pedro Abreu, Nuno Santos, Manuel Filipe Abelha, Antonio Machado, José |
author_sort | Oliveira, Daniela |
collection | PubMed |
description | The COVID-19 pandemic had put pressure on various national healthcare systems, due to the lack of health professionals and exhaustion of those avaliable, as well as lack of interoperability and inability to restructure their IT systems. Therefore, the restructuring of institutions at all levels is essential, especially at the level of their information systems. Furthermore, the COVID-19 pandemic had arrived in Portugal at March 2020, with a breakout on the northern region. In order to quickly respond to the pandemic, the CHUP healthcare institution, known as a research center, has embraced the challenge of developing and integrating a new approach based on the openEHR standard to interoperate with the institution’s existing information and its systems. An openEHR clinical modelling methodology was outlined and adopted, followed by a survey of daily clinical and technical requirements. With the arrival of the virus in Portugal, the CHUP institution has undergone through constant changes in their working methodologies as well as their openEHR modelling. As a result, an openEHR patient care workflow for COVID-19 was developed. |
format | Online Article Text |
id | pubmed-8093592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80935922021-05-05 OpenEHR modeling: improving clinical records during the COVID-19 pandemic Oliveira, Daniela Miranda, Rui Leuschner, Pedro Abreu, Nuno Santos, Manuel Filipe Abelha, Antonio Machado, José Health Technol (Berl) Original Paper The COVID-19 pandemic had put pressure on various national healthcare systems, due to the lack of health professionals and exhaustion of those avaliable, as well as lack of interoperability and inability to restructure their IT systems. Therefore, the restructuring of institutions at all levels is essential, especially at the level of their information systems. Furthermore, the COVID-19 pandemic had arrived in Portugal at March 2020, with a breakout on the northern region. In order to quickly respond to the pandemic, the CHUP healthcare institution, known as a research center, has embraced the challenge of developing and integrating a new approach based on the openEHR standard to interoperate with the institution’s existing information and its systems. An openEHR clinical modelling methodology was outlined and adopted, followed by a survey of daily clinical and technical requirements. With the arrival of the virus in Portugal, the CHUP institution has undergone through constant changes in their working methodologies as well as their openEHR modelling. As a result, an openEHR patient care workflow for COVID-19 was developed. Springer Berlin Heidelberg 2021-05-04 2021 /pmc/articles/PMC8093592/ /pubmed/33968598 http://dx.doi.org/10.1007/s12553-021-00556-4 Text en © IUPESM and Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Oliveira, Daniela Miranda, Rui Leuschner, Pedro Abreu, Nuno Santos, Manuel Filipe Abelha, Antonio Machado, José OpenEHR modeling: improving clinical records during the COVID-19 pandemic |
title | OpenEHR modeling: improving clinical records during the COVID-19 pandemic |
title_full | OpenEHR modeling: improving clinical records during the COVID-19 pandemic |
title_fullStr | OpenEHR modeling: improving clinical records during the COVID-19 pandemic |
title_full_unstemmed | OpenEHR modeling: improving clinical records during the COVID-19 pandemic |
title_short | OpenEHR modeling: improving clinical records during the COVID-19 pandemic |
title_sort | openehr modeling: improving clinical records during the covid-19 pandemic |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093592/ https://www.ncbi.nlm.nih.gov/pubmed/33968598 http://dx.doi.org/10.1007/s12553-021-00556-4 |
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