Computable knowledge: An imperative for Learning Health Systems
Through the actions of multi‐stakeholder communities, Learning Health Systems (LHSs) undertake cyclical activities that generate new knowledge and, as seamlessly as possible, apply that new knowledge in direct pursuit of health improvement. [...]knowledge links the discovery and intervention compone...
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Veröffentlicht in: | Learning health systems 2019-10, Vol.3 (4), p.e10203-n/a |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Through the actions of multi‐stakeholder communities, Learning Health Systems (LHSs) undertake cyclical activities that generate new knowledge and, as seamlessly as possible, apply that new knowledge in direct pursuit of health improvement. [...]knowledge links the discovery and intervention components of LHS activity and, metaphorically, as shown in Figure , can be seen as the “keystone” supporting the learning cycle. While this familiar pattern of training, testing, and using models describes methods employed in machine learning, here, this process is viewed more generally to include any systematic method resulting in and applying new knowledge, including knowledge derived from purely deliberative processes. [...]health knowledge spans the domains of health care, public health, biomedical research across the translational spectrum, and health professions education. [...]the Journal has established “Computable Knowledge” as a new publication type and welcomes submissions, initially under a pilot set of policies and procedures. |
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ISSN: | 2379-6146 2379-6146 |
DOI: | 10.1002/lrh2.10203 |