Enhancing serious illness communication using artificial intelligence

Delivery of serious illness communication (SIC) is necessary to ensure that all seriously ill patients receive goal-concordant care. However, the current SIC delivery process contains barriers that prevent the delivery of timely and effective SIC. In this paper, we describe the current bottlenecks o...

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Detalles Bibliográficos
Autores principales: Chua, Isaac S., Ritchie, Christine S., Bates, David W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795189/
https://www.ncbi.nlm.nih.gov/pubmed/35087172
http://dx.doi.org/10.1038/s41746-022-00556-2
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author Chua, Isaac S.
Ritchie, Christine S.
Bates, David W.
author_facet Chua, Isaac S.
Ritchie, Christine S.
Bates, David W.
author_sort Chua, Isaac S.
collection PubMed
description Delivery of serious illness communication (SIC) is necessary to ensure that all seriously ill patients receive goal-concordant care. However, the current SIC delivery process contains barriers that prevent the delivery of timely and effective SIC. In this paper, we describe the current bottlenecks of the traditional SIC workflow and explore how a hybrid artificial intelligence-human workflow may improve the efficiency and effectiveness of SIC delivery in busy practice settings.
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spelling pubmed-87951892022-02-07 Enhancing serious illness communication using artificial intelligence Chua, Isaac S. Ritchie, Christine S. Bates, David W. NPJ Digit Med Comment Delivery of serious illness communication (SIC) is necessary to ensure that all seriously ill patients receive goal-concordant care. However, the current SIC delivery process contains barriers that prevent the delivery of timely and effective SIC. In this paper, we describe the current bottlenecks of the traditional SIC workflow and explore how a hybrid artificial intelligence-human workflow may improve the efficiency and effectiveness of SIC delivery in busy practice settings. Nature Publishing Group UK 2022-01-27 /pmc/articles/PMC8795189/ /pubmed/35087172 http://dx.doi.org/10.1038/s41746-022-00556-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
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Chua, Isaac S.
Ritchie, Christine S.
Bates, David W.
Enhancing serious illness communication using artificial intelligence
title Enhancing serious illness communication using artificial intelligence
title_full Enhancing serious illness communication using artificial intelligence
title_fullStr Enhancing serious illness communication using artificial intelligence
title_full_unstemmed Enhancing serious illness communication using artificial intelligence
title_short Enhancing serious illness communication using artificial intelligence
title_sort enhancing serious illness communication using artificial intelligence
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795189/
https://www.ncbi.nlm.nih.gov/pubmed/35087172
http://dx.doi.org/10.1038/s41746-022-00556-2
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