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Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation
Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in unstructured data, natural language processing (NLP) plays an essential role in extracting valuable information that can benefit decision making, admin...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917754/ https://www.ncbi.nlm.nih.gov/pubmed/31872069 http://dx.doi.org/10.1038/s41746-019-0208-8 |
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author | Wen, Andrew Fu, Sunyang Moon, Sungrim El Wazir, Mohamed Rosenbaum, Andrew Kaggal, Vinod C. Liu, Sijia Sohn, Sunghwan Liu, Hongfang Fan, Jungwei |
author_facet | Wen, Andrew Fu, Sunyang Moon, Sungrim El Wazir, Mohamed Rosenbaum, Andrew Kaggal, Vinod C. Liu, Sijia Sohn, Sunghwan Liu, Hongfang Fan, Jungwei |
author_sort | Wen, Andrew |
collection | PubMed |
description | Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in unstructured data, natural language processing (NLP) plays an essential role in extracting valuable information that can benefit decision making, administration reporting, and research. Here, we share several desiderata pertaining to development and usage of NLP systems, derived from two decades of experience implementing clinical NLP at the Mayo Clinic, to inform the healthcare AI community. Using a framework, we developed as an example implementation, the desiderata emphasize the importance of a user-friendly platform, efficient collection of domain expert inputs, seamless integration with clinical data, and a highly scalable computing infrastructure. |
format | Online Article Text |
id | pubmed-6917754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69177542019-12-23 Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation Wen, Andrew Fu, Sunyang Moon, Sungrim El Wazir, Mohamed Rosenbaum, Andrew Kaggal, Vinod C. Liu, Sijia Sohn, Sunghwan Liu, Hongfang Fan, Jungwei NPJ Digit Med Perspective Data is foundational to high-quality artificial intelligence (AI). Given that a substantial amount of clinically relevant information is embedded in unstructured data, natural language processing (NLP) plays an essential role in extracting valuable information that can benefit decision making, administration reporting, and research. Here, we share several desiderata pertaining to development and usage of NLP systems, derived from two decades of experience implementing clinical NLP at the Mayo Clinic, to inform the healthcare AI community. Using a framework, we developed as an example implementation, the desiderata emphasize the importance of a user-friendly platform, efficient collection of domain expert inputs, seamless integration with clinical data, and a highly scalable computing infrastructure. Nature Publishing Group UK 2019-12-17 /pmc/articles/PMC6917754/ /pubmed/31872069 http://dx.doi.org/10.1038/s41746-019-0208-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Wen, Andrew Fu, Sunyang Moon, Sungrim El Wazir, Mohamed Rosenbaum, Andrew Kaggal, Vinod C. Liu, Sijia Sohn, Sunghwan Liu, Hongfang Fan, Jungwei Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation |
title | Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation |
title_full | Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation |
title_fullStr | Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation |
title_full_unstemmed | Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation |
title_short | Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation |
title_sort | desiderata for delivering nlp to accelerate healthcare ai advancement and a mayo clinic nlp-as-a-service implementation |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917754/ https://www.ncbi.nlm.nih.gov/pubmed/31872069 http://dx.doi.org/10.1038/s41746-019-0208-8 |
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