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Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution
The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms, and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organ...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804998/ https://www.ncbi.nlm.nih.gov/pubmed/33490385 http://dx.doi.org/10.1002/lrh2.10255 |
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author | Williams, Michelle Richesson, Rachel L. Bray, Bruce E. Greenes, Robert A. McIntosh, Leslie D. Middleton, Blackford Perry, Gerald Platt, Jodyn Shaffer, Christopher |
author_facet | Williams, Michelle Richesson, Rachel L. Bray, Bruce E. Greenes, Robert A. McIntosh, Leslie D. Middleton, Blackford Perry, Gerald Platt, Jodyn Shaffer, Christopher |
author_sort | Williams, Michelle |
collection | PubMed |
description | The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms, and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations do not yet have the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are not sufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community was formed in 2016 to address these needs. This report summarizes the main outputs of the third annual MCBK public meeting, which was held virtually from June 30 to July 1, 2020 and brought together over 200 participants from various domains to frame and address important dimensions for mobilizing CBK. |
format | Online Article Text |
id | pubmed-7804998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78049982021-01-22 Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution Williams, Michelle Richesson, Rachel L. Bray, Bruce E. Greenes, Robert A. McIntosh, Leslie D. Middleton, Blackford Perry, Gerald Platt, Jodyn Shaffer, Christopher Learn Health Syst Special Report The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms, and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations do not yet have the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are not sufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community was formed in 2016 to address these needs. This report summarizes the main outputs of the third annual MCBK public meeting, which was held virtually from June 30 to July 1, 2020 and brought together over 200 participants from various domains to frame and address important dimensions for mobilizing CBK. John Wiley and Sons Inc. 2020-12-23 /pmc/articles/PMC7804998/ /pubmed/33490385 http://dx.doi.org/10.1002/lrh2.10255 Text en © 2020 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of the University of Michigan. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Report Williams, Michelle Richesson, Rachel L. Bray, Bruce E. Greenes, Robert A. McIntosh, Leslie D. Middleton, Blackford Perry, Gerald Platt, Jodyn Shaffer, Christopher Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution |
title | Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution |
title_full | Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution |
title_fullStr | Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution |
title_full_unstemmed | Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution |
title_short | Summary of third annual MCBK public meeting: Mobilizing computable biomedical knowledge—Accelerating the second knowledge revolution |
title_sort | summary of third annual mcbk public meeting: mobilizing computable biomedical knowledge—accelerating the second knowledge revolution |
topic | Special Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804998/ https://www.ncbi.nlm.nih.gov/pubmed/33490385 http://dx.doi.org/10.1002/lrh2.10255 |
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