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Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most...

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Detalles Bibliográficos
Autores principales: Dagliati, Arianna, Malovini, Alberto, Tibollo, Valentina, Bellazzi, Riccardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929411/
https://www.ncbi.nlm.nih.gov/pubmed/33454728
http://dx.doi.org/10.1093/bib/bbaa418
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author Dagliati, Arianna
Malovini, Alberto
Tibollo, Valentina
Bellazzi, Riccardo
author_facet Dagliati, Arianna
Malovini, Alberto
Tibollo, Valentina
Bellazzi, Riccardo
author_sort Dagliati, Arianna
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most difficult aspects is reusing and sharing of accurate and detailed clinical data collected by Electronic Health Records (EHR), even if these data have a paramount importance. EHR data, in fact, are not only essential for supporting day-by-day activities, but also they can leverage research and support critical decisions about effectiveness of drugs and therapeutic strategies. In this paper, we will concentrate our attention on collaborative data infrastructures to support COVID-19 research and on the open issues of data sharing and data governance that COVID-19 had made emerge. Data interoperability, healthcare processes modelling and representation, shared procedures to deal with different data privacy regulations, and data stewardship and governance are seen as the most important aspects to boost collaborative research. Lessons learned from COVID-19 pandemic can be a strong element to improve international research and our future capability of dealing with fast developing emergencies and needs, which are likely to be more frequent in the future in our connected and intertwined world.
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spelling pubmed-79294112021-03-04 Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview Dagliati, Arianna Malovini, Alberto Tibollo, Valentina Bellazzi, Riccardo Brief Bioinform Method Review The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most difficult aspects is reusing and sharing of accurate and detailed clinical data collected by Electronic Health Records (EHR), even if these data have a paramount importance. EHR data, in fact, are not only essential for supporting day-by-day activities, but also they can leverage research and support critical decisions about effectiveness of drugs and therapeutic strategies. In this paper, we will concentrate our attention on collaborative data infrastructures to support COVID-19 research and on the open issues of data sharing and data governance that COVID-19 had made emerge. Data interoperability, healthcare processes modelling and representation, shared procedures to deal with different data privacy regulations, and data stewardship and governance are seen as the most important aspects to boost collaborative research. Lessons learned from COVID-19 pandemic can be a strong element to improve international research and our future capability of dealing with fast developing emergencies and needs, which are likely to be more frequent in the future in our connected and intertwined world. Oxford University Press 2021-01-18 /pmc/articles/PMC7929411/ /pubmed/33454728 http://dx.doi.org/10.1093/bib/bbaa418 Text en © The Author(s) 2021. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Method Review
Dagliati, Arianna
Malovini, Alberto
Tibollo, Valentina
Bellazzi, Riccardo
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
title Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
title_full Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
title_fullStr Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
title_full_unstemmed Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
title_short Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
title_sort health informatics and ehr to support clinical research in the covid-19 pandemic: an overview
topic Method Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929411/
https://www.ncbi.nlm.nih.gov/pubmed/33454728
http://dx.doi.org/10.1093/bib/bbaa418
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