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Overcoming the challenges of using automated technologies for public health evidence synthesis

Many organisations struggle to keep pace with public health evidence due to the volume of published literature and length of time it takes to conduct literature reviews. New technologies that help automate parts of the evidence synthesis process can help conduct reviews more quickly and efficiently...

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Autores principales: Hocking, Lucy, Parkinson, Sarah, Adams, Avery, Molding Nielsen, Emmanuel, Ang, Cecilia, de Carvalho Gomes, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636742/
https://www.ncbi.nlm.nih.gov/pubmed/37943502
http://dx.doi.org/10.2807/1560-7917.ES.2023.28.45.2300183
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author Hocking, Lucy
Parkinson, Sarah
Adams, Avery
Molding Nielsen, Emmanuel
Ang, Cecilia
de Carvalho Gomes, Helena
author_facet Hocking, Lucy
Parkinson, Sarah
Adams, Avery
Molding Nielsen, Emmanuel
Ang, Cecilia
de Carvalho Gomes, Helena
author_sort Hocking, Lucy
collection PubMed
description Many organisations struggle to keep pace with public health evidence due to the volume of published literature and length of time it takes to conduct literature reviews. New technologies that help automate parts of the evidence synthesis process can help conduct reviews more quickly and efficiently to better provide up-to-date evidence for public health decision making. To date, automated approaches have seldom been used in public health due to significant barriers to their adoption. In this Perspective, we reflect on the findings of a study exploring experiences of adopting automated technologies to conduct evidence reviews within the public health sector. The study, funded by the European Centre for Disease Prevention and Control, consisted of a literature review and qualitative data collection from public health organisations and researchers in the field. We specifically focus on outlining the challenges associated with the adoption of automated approaches and potential solutions and actions that can be taken to mitigate these. We explore these in relation to actions that can be taken by tool developers (e.g. improving tool performance and transparency), public health organisations (e.g. developing staff skills, encouraging collaboration) and funding bodies/the wider research system (e.g. researchers, funding bodies, academic publishers and scholarly journals).
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spelling pubmed-106367422023-11-15 Overcoming the challenges of using automated technologies for public health evidence synthesis Hocking, Lucy Parkinson, Sarah Adams, Avery Molding Nielsen, Emmanuel Ang, Cecilia de Carvalho Gomes, Helena Euro Surveill Perspective Many organisations struggle to keep pace with public health evidence due to the volume of published literature and length of time it takes to conduct literature reviews. New technologies that help automate parts of the evidence synthesis process can help conduct reviews more quickly and efficiently to better provide up-to-date evidence for public health decision making. To date, automated approaches have seldom been used in public health due to significant barriers to their adoption. In this Perspective, we reflect on the findings of a study exploring experiences of adopting automated technologies to conduct evidence reviews within the public health sector. The study, funded by the European Centre for Disease Prevention and Control, consisted of a literature review and qualitative data collection from public health organisations and researchers in the field. We specifically focus on outlining the challenges associated with the adoption of automated approaches and potential solutions and actions that can be taken to mitigate these. We explore these in relation to actions that can be taken by tool developers (e.g. improving tool performance and transparency), public health organisations (e.g. developing staff skills, encouraging collaboration) and funding bodies/the wider research system (e.g. researchers, funding bodies, academic publishers and scholarly journals). European Centre for Disease Prevention and Control (ECDC) 2023-11-09 /pmc/articles/PMC10636742/ /pubmed/37943502 http://dx.doi.org/10.2807/1560-7917.ES.2023.28.45.2300183 Text en This article is copyright of the authors or their affiliated institutions, 2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Perspective
Hocking, Lucy
Parkinson, Sarah
Adams, Avery
Molding Nielsen, Emmanuel
Ang, Cecilia
de Carvalho Gomes, Helena
Overcoming the challenges of using automated technologies for public health evidence synthesis
title Overcoming the challenges of using automated technologies for public health evidence synthesis
title_full Overcoming the challenges of using automated technologies for public health evidence synthesis
title_fullStr Overcoming the challenges of using automated technologies for public health evidence synthesis
title_full_unstemmed Overcoming the challenges of using automated technologies for public health evidence synthesis
title_short Overcoming the challenges of using automated technologies for public health evidence synthesis
title_sort overcoming the challenges of using automated technologies for public health evidence synthesis
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636742/
https://www.ncbi.nlm.nih.gov/pubmed/37943502
http://dx.doi.org/10.2807/1560-7917.ES.2023.28.45.2300183
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