Wong, D orcid.org/0000-0001-8117-9193 and Peek, N (2020) Does not compute: challenges and solutions in managing computable biomedical knowledge. BMJ Health & Care Informatics, 27 (2). e100123. ISSN 2632-1009
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Centre for Health Services Research (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Sep 2024 10:48 |
Last Modified: | 03 Sep 2024 10:48 |
Status: | Published |
Identification Number: | 10.1136/bmjhci-2019-100123 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201278 |