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Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider
INTRODUCTION: This paper summarises a talk given at the first UK workshop on mobilising computable biomedical knowledge on 29 October 2019 in London. It examines challenges in mobilising computable biomedical knowledge for clinical decision support from the perspective of a medical knowledge provide...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388874/ https://www.ncbi.nlm.nih.gov/pubmed/32723850 http://dx.doi.org/10.1136/bmjhci-2019-100121 |
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author | Walsh, Kieran Wroe, Chris |
author_facet | Walsh, Kieran Wroe, Chris |
author_sort | Walsh, Kieran |
collection | PubMed |
description | INTRODUCTION: This paper summarises a talk given at the first UK workshop on mobilising computable biomedical knowledge on 29 October 2019 in London. It examines challenges in mobilising computable biomedical knowledge for clinical decision support from the perspective of a medical knowledge provider. METHODS: We developed the themes outlined below after personally reflecting on the challenges that we have encountered in this field and after considering the barriers that knowledge providers face in ensuring that their content is accessed and used by healthcare professionals. We further developed the themes after discussing them with delegates at the workshop and listening to their feedback. DISCUSSION: There are many challenges in mobilising computable knowledge for clinical decision support from the perspective of a medical knowledge provider. These include the size of the task at hand, the challenge of creating machine interpretable content, the issue of standards, the need to do better in tracing how computable medical knowledge that is part of clinical decision support impacts patient outcomes, the challenge of comorbidities, the problem of adhering to safety standards and finally the challenge of integrating knowledge with problem solving and procedural skills, healthy attitudes and professional behaviours. Partnership is likely to be essential if we are to make progress in this field. The problems are too complex and interrelated to be solved by any one institution alone. |
format | Online Article Text |
id | pubmed-7388874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-73888742020-09-30 Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider Walsh, Kieran Wroe, Chris BMJ Health Care Inform Short Report INTRODUCTION: This paper summarises a talk given at the first UK workshop on mobilising computable biomedical knowledge on 29 October 2019 in London. It examines challenges in mobilising computable biomedical knowledge for clinical decision support from the perspective of a medical knowledge provider. METHODS: We developed the themes outlined below after personally reflecting on the challenges that we have encountered in this field and after considering the barriers that knowledge providers face in ensuring that their content is accessed and used by healthcare professionals. We further developed the themes after discussing them with delegates at the workshop and listening to their feedback. DISCUSSION: There are many challenges in mobilising computable knowledge for clinical decision support from the perspective of a medical knowledge provider. These include the size of the task at hand, the challenge of creating machine interpretable content, the issue of standards, the need to do better in tracing how computable medical knowledge that is part of clinical decision support impacts patient outcomes, the challenge of comorbidities, the problem of adhering to safety standards and finally the challenge of integrating knowledge with problem solving and procedural skills, healthy attitudes and professional behaviours. Partnership is likely to be essential if we are to make progress in this field. The problems are too complex and interrelated to be solved by any one institution alone. BMJ Publishing Group 2020-07-28 /pmc/articles/PMC7388874/ /pubmed/32723850 http://dx.doi.org/10.1136/bmjhci-2019-100121 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Short Report Walsh, Kieran Wroe, Chris Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
title | Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
title_full | Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
title_fullStr | Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
title_full_unstemmed | Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
title_short | Mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
title_sort | mobilising computable biomedical knowledge: challenges for clinical decision support from a medical knowledge provider |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388874/ https://www.ncbi.nlm.nih.gov/pubmed/32723850 http://dx.doi.org/10.1136/bmjhci-2019-100121 |
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