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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Does not compute: challenges and solutions in managing computable biomedical knowledge
Συγγραφείς: Wong, David, Peek, Niels
Πηγή: Wong, D & Peek, N 2020, 'Does not compute: challenges and solutions in managing computable biomedical knowledge', BMJ Health & Care Informatics, vol. 27, no. 2. https://doi.org/10.1136/bmjhci-2019-100123
Έτος έκδοσης: 2020
Συλλογή: The University of Manchester: Research Explorer - Publications
Θεματικοί όροι: medical informatics, computer methodologies
Περιγραφή: 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 take full advantage of CBK.
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
ISSN: 2632-1009
Relation: info:eu-repo/semantics/altIdentifier/pmid/32723852; info:eu-repo/semantics/altIdentifier/pissn/2632-1009
DOI: 10.1136/bmjhci-2019-100123
Διαθεσιμότητα: https://research.manchester.ac.uk/en/publications/b492d426-860c-4670-b551-211bb015d35f
https://doi.org/10.1136/bmjhci-2019-100123
https://www.scopus.com/pages/publications/85088881624
Rights: info:eu-repo/semantics/openAccess
Αριθμός Καταχώρησης: edsbas.CFA3B30B
Βάση Δεδομένων: BASE
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  Data: Wong, D & Peek, N 2020, 'Does not compute: challenges and solutions in managing computable biomedical knowledge', BMJ Health & Care Informatics, vol. 27, no. 2. https://doi.org/10.1136/bmjhci-2019-100123
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  Data: 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 take full advantage of CBK.
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