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Bigdata is breaking new grounds

Health services research (HSR) must now integrate the technological and methodological developments of ‘Big Data’ that are transforming health research as a whole. E-health devices, social networks, and electronic medical records (EHR) are all sources that can enrich HSR. For example, social network...

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Autor principal: Le Meur-Rouillard, N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595195/
http://dx.doi.org/10.1093/eurpub/ckad160.054
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author Le Meur-Rouillard, N
author_facet Le Meur-Rouillard, N
author_sort Le Meur-Rouillard, N
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description Health services research (HSR) must now integrate the technological and methodological developments of ‘Big Data’ that are transforming health research as a whole. E-health devices, social networks, and electronic medical records (EHR) are all sources that can enrich HSR. For example, social networks have become tools for hospital evaluation (ranking) and patient experience, as well as strategies for the dissemination of prevention messages by health authorities. Electronic medical records make it possible to carry out ‘real-life’ longitudinal studies on the entire population of a territory, offering a vision of the health care pathways in health care services. This cross-sectional view of the use of healthcare services renders possible the description and analysis of the evolution of healthcare networks in space and time. These sources also make offer a better understanding of the disparities in access to and use of healthcare services on various geographical scales. Finally, E-health devices can be used to help organize and optimize care. However, we must remain cautious in the face of this acceleration of information flows and the mass of data that are only of interest if they bring value to our research and do not endanger the users of healthcare services: respect for ethical rules, respect for the rights of individuals, or rights, duties and responsibilities in the use of artificial intelligence tools that can be used in big data.
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spelling pubmed-105951952023-10-25 Bigdata is breaking new grounds Le Meur-Rouillard, N Eur J Public Health Parallel Programme Health services research (HSR) must now integrate the technological and methodological developments of ‘Big Data’ that are transforming health research as a whole. E-health devices, social networks, and electronic medical records (EHR) are all sources that can enrich HSR. For example, social networks have become tools for hospital evaluation (ranking) and patient experience, as well as strategies for the dissemination of prevention messages by health authorities. Electronic medical records make it possible to carry out ‘real-life’ longitudinal studies on the entire population of a territory, offering a vision of the health care pathways in health care services. This cross-sectional view of the use of healthcare services renders possible the description and analysis of the evolution of healthcare networks in space and time. These sources also make offer a better understanding of the disparities in access to and use of healthcare services on various geographical scales. Finally, E-health devices can be used to help organize and optimize care. However, we must remain cautious in the face of this acceleration of information flows and the mass of data that are only of interest if they bring value to our research and do not endanger the users of healthcare services: respect for ethical rules, respect for the rights of individuals, or rights, duties and responsibilities in the use of artificial intelligence tools that can be used in big data. Oxford University Press 2023-10-24 /pmc/articles/PMC10595195/ http://dx.doi.org/10.1093/eurpub/ckad160.054 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://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 Parallel Programme
Le Meur-Rouillard, N
Bigdata is breaking new grounds
title Bigdata is breaking new grounds
title_full Bigdata is breaking new grounds
title_fullStr Bigdata is breaking new grounds
title_full_unstemmed Bigdata is breaking new grounds
title_short Bigdata is breaking new grounds
title_sort bigdata is breaking new grounds
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595195/
http://dx.doi.org/10.1093/eurpub/ckad160.054
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