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Does not compute: challenges and solutions in managing computable biomedical knowledge

Computers can potentially play a key role in resolving knowledge mobilisation bottlenecks in health and care through decision support at the point of care based on computable biomedical knowledge (CBK). But the management of CBK comes with a range of significant computer science challenges. Some of...

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Detalles Bibliográficos
Autores principales: Wong, David, Peek, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388884/
https://www.ncbi.nlm.nih.gov/pubmed/32723852
http://dx.doi.org/10.1136/bmjhci-2019-100123
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author Wong, David
Peek, Niels
author_facet Wong, David
Peek, Niels
author_sort Wong, David
collection PubMed
description Computers can potentially play a key role in resolving knowledge mobilisation bottlenecks in health and care through decision support at the point of care based on computable biomedical knowledge (CBK). But the management of CBK comes with a range of significant computer science challenges. Some of these have been suitably addressed through the development of CBK methods and tools, while others require further research and development. We review the main challenges associated with creating, reasoning with and sharing CBK, and describe current state-of-the-art solutions as well as outstanding issues. We argue that a radical approach, in which all evidence generation is suitable for computation at the outset, is ultimately needed to take full advantage of CBK.
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spelling pubmed-73888842020-09-30 Does not compute: challenges and solutions in managing computable biomedical knowledge Wong, David Peek, Niels BMJ Health Care Inform Short Report Computers can potentially play a key role in resolving knowledge mobilisation bottlenecks in health and care through decision support at the point of care based on computable biomedical knowledge (CBK). But the management of CBK comes with a range of significant computer science challenges. Some of these have been suitably addressed through the development of CBK methods and tools, while others require further research and development. We review the main challenges associated with creating, reasoning with and sharing CBK, and describe current state-of-the-art solutions as well as outstanding issues. We argue that a radical approach, in which all evidence generation is suitable for computation at the outset, is ultimately needed to take full advantage of CBK. BMJ Publishing Group 2020-07-28 /pmc/articles/PMC7388884/ /pubmed/32723852 http://dx.doi.org/10.1136/bmjhci-2019-100123 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Short Report
Wong, David
Peek, Niels
Does not compute: challenges and solutions in managing computable biomedical knowledge
title Does not compute: challenges and solutions in managing computable biomedical knowledge
title_full Does not compute: challenges and solutions in managing computable biomedical knowledge
title_fullStr Does not compute: challenges and solutions in managing computable biomedical knowledge
title_full_unstemmed Does not compute: challenges and solutions in managing computable biomedical knowledge
title_short Does not compute: challenges and solutions in managing computable biomedical knowledge
title_sort does not compute: challenges and solutions in managing computable biomedical knowledge
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388884/
https://www.ncbi.nlm.nih.gov/pubmed/32723852
http://dx.doi.org/10.1136/bmjhci-2019-100123
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