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Evidence Hub: A place to exchange medical knowledge and form communities
INTRODUCTION: Medical knowledge is complex and constantly evolving, making it challenging to disseminate and retrieve effectively. To address these challenges, researchers are exploring the use of formal knowledge representations that can be easily interpreted by computers. METHODS: Evidence Hub is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582213/ https://www.ncbi.nlm.nih.gov/pubmed/37860058 http://dx.doi.org/10.1002/lrh2.10387 |
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author | Hong, Kenny Bandaranayake, Druvinka Tsafnat, Guy |
author_facet | Hong, Kenny Bandaranayake, Druvinka Tsafnat, Guy |
author_sort | Hong, Kenny |
collection | PubMed |
description | INTRODUCTION: Medical knowledge is complex and constantly evolving, making it challenging to disseminate and retrieve effectively. To address these challenges, researchers are exploring the use of formal knowledge representations that can be easily interpreted by computers. METHODS: Evidence Hub is a new, free, online platform that hosts computable clinical knowledge in the form of “Knowledge Objects”. These objects represent various types of computer‐interpretable knowledge. The platform includes features that encourage advancing medical knowledge, such as public discussion threads for civil discourse about each Knowledge Object, thus building communities of interest that can form and reach consensus on the correctness, applicability, and proper use of the object. Knowledge Objects are maintained by volunteers and published on Evidence Hub under GPL 2.0. Peer review and quality assurance are provided by volunteers. RESULTS: Users can explore Evidence Hub and participate in discussions using a web browser. An application programming interface allows applications to register themselves as handlers of specific object types and provide editing and execution capabilities for particular object types. CONCLUSIONS: By providing a platform for computable clinical knowledge and fostering discussion and collaboration, Evidence Hub improves the dissemination and use of medical knowledge. |
format | Online Article Text |
id | pubmed-10582213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105822132023-10-19 Evidence Hub: A place to exchange medical knowledge and form communities Hong, Kenny Bandaranayake, Druvinka Tsafnat, Guy Learn Health Syst Computable Knowledge Publications INTRODUCTION: Medical knowledge is complex and constantly evolving, making it challenging to disseminate and retrieve effectively. To address these challenges, researchers are exploring the use of formal knowledge representations that can be easily interpreted by computers. METHODS: Evidence Hub is a new, free, online platform that hosts computable clinical knowledge in the form of “Knowledge Objects”. These objects represent various types of computer‐interpretable knowledge. The platform includes features that encourage advancing medical knowledge, such as public discussion threads for civil discourse about each Knowledge Object, thus building communities of interest that can form and reach consensus on the correctness, applicability, and proper use of the object. Knowledge Objects are maintained by volunteers and published on Evidence Hub under GPL 2.0. Peer review and quality assurance are provided by volunteers. RESULTS: Users can explore Evidence Hub and participate in discussions using a web browser. An application programming interface allows applications to register themselves as handlers of specific object types and provide editing and execution capabilities for particular object types. CONCLUSIONS: By providing a platform for computable clinical knowledge and fostering discussion and collaboration, Evidence Hub improves the dissemination and use of medical knowledge. John Wiley and Sons Inc. 2023-08-23 /pmc/articles/PMC10582213/ /pubmed/37860058 http://dx.doi.org/10.1002/lrh2.10387 Text en © 2023 Evidently Pty Ltd. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Computable Knowledge Publications Hong, Kenny Bandaranayake, Druvinka Tsafnat, Guy Evidence Hub: A place to exchange medical knowledge and form communities |
title | Evidence Hub: A place to exchange medical knowledge and form communities |
title_full | Evidence Hub: A place to exchange medical knowledge and form communities |
title_fullStr | Evidence Hub: A place to exchange medical knowledge and form communities |
title_full_unstemmed | Evidence Hub: A place to exchange medical knowledge and form communities |
title_short | Evidence Hub: A place to exchange medical knowledge and form communities |
title_sort | evidence hub: a place to exchange medical knowledge and form communities |
topic | Computable Knowledge Publications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582213/ https://www.ncbi.nlm.nih.gov/pubmed/37860058 http://dx.doi.org/10.1002/lrh2.10387 |
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